I-STARs

Principal Investigators

Dr. Jeff Siewerdsen founded the I-STAR Lab as a collaborative endeavor among engineering, physics, and clinical disciplines, such as radiology, surgery, and radiation therapy. He is primary faculty in Biomedical Engineering and Principal Investigator on topics of image quality and cone-beam CT applications in diagnostic and image-guided procedures. He leads a program of interdisciplinary research spanning projects in medical <a href="http://istar.jhu.edu/research/#physics" target="_new">imaging physics</a>, <a href="http://istar.jhu.edu/research/#diagnostic" target="_new">diagnostic radiology</a>, and <a href="http://istar.jhu.edu/research/#guided" target="_new">image-guided interventions</a>. His core interests include the physics of medical imaging, with a focus on advanced x-ray CT and spectral imaging modalities, the mathematics of image quality, the design of novel imaging systems for new applications, and 3D deformable image registration. Strong <a href="http://istar.jhu.edu/research/people/#I-STAR Collaborators">collaboration</a> with experts in surgery, radiation therapy, and radiology guides and accelerates the translation of new technologies into early clinical application.

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More information: <a href="http://www.bme.jhu.edu/people/primary.php?id=927" target="_new">Hopkins BME/~siewerdsen</a>

Jeffrey H. Siewerdsen, Ph.D.

Professor
Dept. of Biomedical Engineering
Dept. of Computer Science
Russell H. Morgan Dept. of Radiology
Armstrong Institute for Patient Safety and Quality
Johns Hopkins University
Traylor Building, Room 622
720 Rutland Avenue
Baltimore MD 21205
Phone: 443-287-6269
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Jeffrey Siewerdsen

Professor
Dept. of Biomedical Engineering
Dept. of Computer Science
Russell H. Morgan Dept. of Radiology
Armstrong Institute for Patient Safety and Quality
Johns Hopkins University
Traylor Building, Room 622
720 Rutland Avenue
Baltimore MD 21205
Phone: 443-287-6269

Dr. Jeff Siewerdsen founded the I-STAR Lab as a collaborative endeavor among engineering, physics, and clinical disciplines, such as radiology, surgery, and radiation therapy. He is primary faculty in Biomedical Engineering and Principal Investigator on topics of image quality and cone-beam CT applications in diagnostic and image-guided procedures. He leads a program of interdisciplinary research spanning projects in medical imaging physicsdiagnostic radiology, and image-guided interventions. His core interests include the physics of medical imaging, with a focus on advanced x-ray CT and spectral imaging modalities, the mathematics of image quality, the design of novel imaging systems for new applications, and 3D deformable image registration. Strong collaboration with experts in surgery, radiation therapy, and radiology guides and accelerates the translation of new technologies into early clinical application.

 

More information: Hopkins BME/~siewerdsen

Dr. Web Stayman is faculty in Biomedical Engineering and Principal Investigator on topics of advanced <a href="http://istar.jhu.edu/research/#recon" target="_blank">3D image reconstruction</a> with applications in <a href="http://istar.jhu.edu/research/#diagnostic" target="_blank">diagnostic radiology</a>, and <a href="http://istar.jhu.edu/research/#guided" target="_blank">image-guided interventions</a>. With over 15 years of experience in tomography and other imaging applications, his expertise includes both emission tomography and transmission tomography (CT, tomosynthesis, and cone-beam CT). He leads research activities in advanced <a href="http://istar.jhu.edu/research/#recon" target="_blank">3D reconstruction</a>, including model-based statistical / iterative reconstruction, regularization methods, and modeling of imaging systems. He leads development of a generalized framework for penalized likelihood (PL) reconstruction combining statistical models of noise and image formation with incorporation of prior information, including patient-specific prior images, atlases, and models of components / devices known to be in the field of view. His research includes algorithm development and physical experimentation for imaging system design and optimization.

J. Webster Stayman, Ph.D.

Assistant Professor
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1314
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J. Webster Stayman

Assistant Professor
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1314

Dr. Web Stayman is faculty in Biomedical Engineering and Principal Investigator on topics of advanced 3D image reconstruction with applications in diagnostic radiology, and image-guided interventions. With over 15 years of experience in tomography and other imaging applications, his expertise includes both emission tomography and transmission tomography (CT, tomosynthesis, and cone-beam CT). He leads research activities in advanced 3D reconstruction, including model-based statistical / iterative reconstruction, regularization methods, and modeling of imaging systems. He leads development of a generalized framework for penalized likelihood (PL) reconstruction combining statistical models of noise and image formation with incorporation of prior information, including patient-specific prior images, atlases, and models of components / devices known to be in the field of view. His research includes algorithm development and physical experimentation for imaging system design and optimization.

Dr. Wojtek Zbijewski is a physicist whose research interests include x-ray CT <a href="http://istar.jhu.edu/research/#recon" target="_new">image reconstruction</a>, <a href="http://istar.jhu.edu/research/#physics">Monte Carlo modeling</a>, and the development and <a href="http://istar.jhu.edu/research">novel imaging systems</a>. He leads activities in imaging system <a href="http://istar.jhu.edu/research" target="_new">instrumentation</a>throughout the I-STAR Lab, including cone-beam CT, photon counting CT, and and advanced volumetric imaging for <a href="http://istar.jhu.edu/research/#diagnostic" target="_new">extremities imaging</a> in musculoskeletal radiology, orthopaedics, and rheumatology. He obtained his PhD from University of Utrecht, the Netherlands, under the supervision of Dr. F. Beekman. His background includes the development of statistical reconstruction algorithms for x-ray CT and scatter correction methods for cone-beam CT using accelerated Monte Carlo techniques. His experience includes industrial R&amp;D, where his work involved the design of specialized cone-beam CT systems for image-guided surgery, ENT, and dental applications.

Wojciech Zbijewski, Ph.D.

Faculty Research Associate
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 622
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1305
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Wojciech Zbijewski

Faculty Research Associate
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 622
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1305

Dr. Wojtek Zbijewski is a physicist whose research interests include x-ray CT image reconstructionMonte Carlo modeling, and the development and novel imaging systems. He leads activities in imaging system instrumentationthroughout the I-STAR Lab, including cone-beam CT, photon counting CT, and and advanced volumetric imaging for extremities imaging in musculoskeletal radiology, orthopaedics, and rheumatology. He obtained his PhD from University of Utrecht, the Netherlands, under the supervision of Dr. F. Beekman. His background includes the development of statistical reconstruction algorithms for x-ray CT and scatter correction methods for cone-beam CT using accelerated Monte Carlo techniques. His experience includes industrial R&D, where his work involved the design of specialized cone-beam CT systems for image-guided surgery, ENT, and dental applications.

Research Scientists, Fellows, and Staff

Matthew Jacobson, Ph.D.

Research FacultyDepartment of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 622
720 Rutland Avenue
Baltimore MD 21205
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Matthew Jacobson

Research FacultyDepartment of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 622
720 Rutland Avenue
Baltimore MD 21205
Dr. Sisniega is a postdoctoral research fellow in the Department of Biomedical Engineering at Johns Hopkins University and an expert in 3D imaging, models, and simulation. His research includes the development of high-performance <a href="http://istar.jhu.edu/research/#physics" target="_new">Monte Carlo simulation</a> methods for 3D imaging, including <a style="color: #ff4b33;" href="http://istar.jhu.edu/research/#recon" target="_new">GPU implementations</a> for high-fidelity, high-speed x-ray scatter simulation, dose calculation, and dual-energy imaging. His background includes the development of novel 3D imaging systems for preclinical imaging and integration of multiple imaging modalities, including molecular imaging and <a href="http://istar.jhu.edu/research/#diagnostic" target="_new">cone-beam CT</a>.

Alejandro Sisniega, Ph.D.

Research Scientist
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 622
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1329
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Alejandro Sisniega

Research Scientist
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 622
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1329

Dr. Sisniega is a postdoctoral research fellow in the Department of Biomedical Engineering at Johns Hopkins University and an expert in 3D imaging, models, and simulation. His research includes the development of high-performance Monte Carlo simulation methods for 3D imaging, including GPU implementations for high-fidelity, high-speed x-ray scatter simulation, dose calculation, and dual-energy imaging. His background includes the development of novel 3D imaging systems for preclinical imaging and integration of multiple imaging modalities, including molecular imaging and cone-beam CT.

Dr. Manbachi is the “Director of Innovations” at the <a href="http://carnegie.jhu.edu" target="_blank">Carnegie Center</a> as well as a research faculty in Biomedical Engineering, focusing on various imaging modalities for interventional spine applications. He obtained his PhD from the University of Toronto, under the supervision of Dr. Richard S.C. Cobbold. Prior to joining Johns Hopkins, he was a postdoctoral fellow at Harvard-MIT Division of Health Sciences and Technology (2015-16) and the founder and CEO of Spinesonics Medical (2012-2015), a spinoff from his doctoral studies.

Amir has (co)authored over 15 peer-reviewed journal articles, 3 world-wide patent applications and a book entitled “Towards Ultrasound-guided Spinal Fusion Surgery”. His interdisciplinary research been recognized by a number of awards, including University of Toronto’s 2015 Inventor of year award, and Ontario Brain Institute 2013 fellowship. Dr. Manbachi has extensive teaching experience, particularly in the field of medical imaging, for which he received the University of Toronto’s Teaching Excellence award.

Amir Manbachi

Research Faculty
Dept. of Biomedical Engineering

Director of Innovations
Carnegie Center for Surgical Innovation
Johns Hopkins University
Carnegie Building, Room 780
1798 East Monument Street
Baltimore MD 21287
Phone: 410-955-1309
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Amir Manbachi

Research Faculty
Dept. of Biomedical Engineering

Director of Innovations
Carnegie Center for Surgical Innovation
Johns Hopkins University
Carnegie Building, Room 780
1798 East Monument Street
Baltimore MD 21287
Phone: 410-955-1309

Dr. Manbachi is the “Director of Innovations” at the Carnegie Center as well as a research faculty in Biomedical Engineering, focusing on various imaging modalities for interventional spine applications. He obtained his PhD from the University of Toronto, under the supervision of Dr. Richard S.C. Cobbold. Prior to joining Johns Hopkins, he was a postdoctoral fellow at Harvard-MIT Division of Health Sciences and Technology (2015-16) and the founder and CEO of Spinesonics Medical (2012-2015), a spinoff from his doctoral studies.

Amir has (co)authored over 15 peer-reviewed journal articles, 3 world-wide patent applications and a book entitled “Towards Ultrasound-guided Spinal Fusion Surgery”. His interdisciplinary research been recognized by a number of awards, including University of Toronto’s 2015 Inventor of year award, and Ontario Brain Institute 2013 fellowship. Dr. Manbachi has extensive teaching experience, particularly in the field of medical imaging, for which he received the University of Toronto’s Teaching Excellence award.

Grace Gang is a PhD student working on the development of <a href="http://istar.jhu.edu/research/#physics" target="_new">mathematical models</a> of image quality for advanced x-ray imaging systems. Her graduate work involves cascaded systems analysis of <a href="http://istar.jhu.edu/research/#registration" target="_new">tomosynthesis and cone-beam CT</a>- theoretical models combining 3D Fourier metrics (noise-equivalent quanta) with mathematical descriptions of anatomical background and imaging task. Her undergraduate work included deformable registration using mutual information in a <a href="http://istar.jhu.edu/research/#physics" target="_new">dual-energy chest radiography</a>. Her groundbreaking work: demonstrating agreement of theoretical models for 3D detectability with real observer preformance in tomosynthesis and cone-beam CT.

Grace Jianan Gang, Ph.D.

Research Scientist
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1319
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Grace Gang

Research Scientist
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1319

Grace Gang is a PhD student working on the development of mathematical models of image quality for advanced x-ray imaging systems. Her graduate work involves cascaded systems analysis of tomosynthesis and cone-beam CT– theoretical models combining 3D Fourier metrics (noise-equivalent quanta) with mathematical descriptions of anatomical background and imaging task. Her undergraduate work included deformable registration using mutual information in a dual-energy chest radiography. Her groundbreaking work: demonstrating agreement of theoretical models for 3D detectability with real observer preformance in tomosynthesis and cone-beam CT.

Tharindu De Silva is a postdoctoral research fellow in the Department of Biomedical Engineering at Johns Hopkins University, working on the development of image registration techniques for applications in spine surgery and other image-guided interventions.  His research interests include rapid 3D-2D image-based registration, deformable registration algorithms and validation of these techniques to make clinical translation feasible. He has a background in fast image registration methods for motion compensation during ultrasound-guided interventions.

Tharindu De Silva, Ph.D.

Research Scientist
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1319
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Tharindu De Silva

Research Scientist
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1319

Tharindu De Silva is a postdoctoral research fellow in the Department of Biomedical Engineering at Johns Hopkins University, working on the development of image registration techniques for applications in spine surgery and other image-guided interventions.  His research interests include rapid 3D-2D image-based registration, deformable registration algorithms and validation of these techniques to make clinical translation feasible. He has a background in fast image registration methods for motion compensation during ultrasound-guided interventions.

Dr. Mathews is an electrical engineer working on improving clinical imaging using novel devices and measurement systems. His interests include algorithm development, inverse problems, imaging physics/system design. Working with Dr. Stayman and Philips, he hopes to improve X-ray CT imaging at low doses. He received his Ph.D. in electrical engineering from Washington University in St Louis, under the guidance of Dr. Joseph A. O'Sullivan and Dr. Yuan-Chuan Tai. His graduate work focused on improving Positron Emission Tomography(PET) using novel insert systems, as well as developing reconstruction framework for unconventional PET systems.

Aswin John Mathews, PhD

Research Scientist
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1329
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Aswin Mathews

Research Scientist
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1329

Dr. Mathews is an electrical engineer working on improving clinical imaging using novel devices and measurement systems. His interests include algorithm development, inverse problems, imaging physics/system design. Working with Dr. Stayman and Philips, he hopes to improve X-ray CT imaging at low doses. He received his Ph.D. in electrical engineering from Washington University in St Louis, under the guidance of Dr. Joseph A. O’Sullivan and Dr. Yuan-Chuan Tai. His graduate work focused on improving Positron Emission Tomography(PET) using novel insert systems, as well as developing reconstruction framework for unconventional PET systems.

Joseph Goerres is a postdoctoral research fellow in the Department of Biomedical Engineering at Johns Hopkins. He works on the development of novel intraoperative approaches in order to facilitate image-guided orthopedic interventions and improve their accuracy. His research interests include image segmentation, shape modeling, object detection, and investigating the applicability of these methods for intraoperative C-arm imaging. His background covers 3D shape model segmentation and feature detection in the context of orthopedic treatments at the lower ankle joint.

Joseph Goerres, Ph.D.

Research Scientist
Department of Biomedical Engineering
720 Rutland Avenue Phone: 410-502-7721
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Joseph Goerres

Research Scientist
Department of Biomedical Engineering
720 Rutland Avenue Phone: 410-502-7721

Joseph Goerres is a postdoctoral research fellow in the Department of Biomedical Engineering at Johns Hopkins. He works on the development of novel intraoperative approaches in order to facilitate image-guided orthopedic interventions and improve their accuracy. His research interests include image segmentation, shape modeling, object detection, and investigating the applicability of these methods for intraoperative C-arm imaging. His background covers 3D shape model segmentation and feature detection in the context of orthopedic treatments at the lower ankle joint.

Michael Brehler, Ph.D.

Postdoctoral FellowJohns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore, MD 21205
Phone: 410-955-1309
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Michael Brehler

Postdoctoral FellowJohns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore, MD 21205
Phone: 410-955-1309
Dr. Zhang is a postdoctoral research fellow in the Department of Biomedical Engineering at Johns Hopkins University. He is currently working on reconstruction of difference (RoD) in sequential CT studies. His research interests include imaging physics, algorithm development, system design, as well as various clinical applications.  He received his Ph.D. in Biomedical Engineering (Medical Physics track) from <a href="http://www.bme.stonybrook.edu/" target="_blank">SUNY-Stony Brook University</a>, and his dissertation research focused on regularization design for statistical image reconstruction of low-dose X-ray CT.

Hao Zhang, Ph.D.

Johns Hopkins University
Traylor Building, Room 605
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1314
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Hao Zhang

Johns Hopkins University
Traylor Building, Room 605
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1314

Dr. Zhang is a postdoctoral research fellow in the Department of Biomedical Engineering at Johns Hopkins University. He is currently working on reconstruction of difference (RoD) in sequential CT studies. His research interests include imaging physics, algorithm development, system design, as well as various clinical applications.  He received his Ph.D. in Biomedical Engineering (Medical Physics track) from SUNY-Stony Brook University, and his dissertation research focused on regularization design for statistical image reconstruction of low-dose X-ray CT.

Dr. Gaurav Kumar Thawait, M.D. is a Research Fellow in the Department of Radiology at the Johns Hopkins Medical Institution. His key interests are in Musculoskeletal Radiology, with emphasis on advanced functional imaging applications, dual-energy CT, minimization of radiation dose and MR neurography. He collaborates with the I-STAR Lab in the development of a dedicated extremity musculoskeletal CBCT scanner, advanced dual-energy CBCT imaging techniques, as well as novel 3D and 4D imaging phantoms.

Gaurav Thawait, M.D.

Research Fellow
Department of Radiology
Johns Hopkins University Phone: 443-287-6032
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Gaurav Thawait

Research Fellow
Department of Radiology
Johns Hopkins University Phone: 443-287-6032

Dr. Gaurav Kumar Thawait, M.D. is a Research Fellow in the Department of Radiology at the Johns Hopkins Medical Institution. His key interests are in Musculoskeletal Radiology, with emphasis on advanced functional imaging applications, dual-energy CT, minimization of radiation dose and MR neurography. He collaborates with the I-STAR Lab in the development of a dedicated extremity musculoskeletal CBCT scanner, advanced dual-energy CBCT imaging techniques, as well as novel 3D and 4D imaging phantoms.

Alex graduated from the masters program in the Mechanical Engineering department at the University of New Brunswick, and is the current laboratory technician for the I-STAR Lab.

Alex Martin

Research Technician
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
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Alex Martin

Research Technician
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205

Alex graduated from the masters program in the Mechanical Engineering department at the University of New Brunswick, and is the current laboratory technician for the I-STAR Lab.

Leslie Stabile

Laboratory AdministratorJohns Hopkins University
Traylor Building, Room 622
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1329
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Leslie Stabile

Laboratory AdministratorJohns Hopkins University
Traylor Building, Room 622
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1329

Graduate Students

Hao Dang is a PhD student in the Department of Biomedical Engineering at Johns Hopkins University and a research assistant in the I-STAR Lab. His research includes development of advanced 3D <a href="http://istar.jhu.edu/research/#recon" target="_new">image reconstruction</a>methods for image-guided interventions. His past research includes <a href="http://istar.jhu.edu/research/#guided" target="_new">automatic image-world registration</a> in surgical navigation, integrating C-Arm cone-beam CT with real-time tracking in seamless workflow. Other work includes intraoperative registration update methods for robotic skull drilling and novel similarity metrics and saliency-based hierarchy models for accurate 3D-3D image registration.

Hao Dang

Graduate Research Assistant
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309
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Hao Dang

Graduate Research Assistant
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309

Hao Dang is a PhD student in the Department of Biomedical Engineering at Johns Hopkins University and a research assistant in the I-STAR Lab. His research includes development of advanced 3D image reconstructionmethods for image-guided interventions. His past research includes automatic image-world registration in surgical navigation, integrating C-Arm cone-beam CT with real-time tracking in seamless workflow. Other work includes intraoperative registration update methods for robotic skull drilling and novel similarity metrics and saliency-based hierarchy models for accurate 3D-3D image registration.

Ali Uneri in a PhD student in Computer Science at Hopkins and works on the development and integration of new surgical navigation tools for use in image-guided procedures. His thesis includes the the design and development of the <a href="http://istar.jhu.edu/research/#guided" target="_new">TREK software architecture</a> for intraoperative imaging and surgical guidance, combining open-source 3D Slicer and CISST libraries for surgical navigation based on intraoperative cone-beam CT. His core research includes the development of fast <a href="http://istar.jhu.edu/research/#registration" target="_new">3D-2D registration</a> and high-quality <a href="http://istar.jhu.edu/research/#recon" target="_new">3D image reconstruction</a> methods for surgical guidance. He also works on novel surgical tracker configurations, real-time thoracoscopic video augmentation, and methods for <a href="http://istar.jhu.edu/research/#registration" target="_new">deformable image registration</a> in thoracic surgery. His previous experience includes the development of surgical robotics for knee and hip replacement procedures.

Ali Uneri

Graduate Research Assistant
Department of Computer Science
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309
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Ali Uneri

Graduate Research Assistant
Department of Computer Science
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309

Ali Uneri in a PhD student in Computer Science at Hopkins and works on the development and integration of new surgical navigation tools for use in image-guided procedures. His thesis includes the the design and development of the TREK software architecture for intraoperative imaging and surgical guidance, combining open-source 3D Slicer and CISST libraries for surgical navigation based on intraoperative cone-beam CT. His core research includes the development of fast 3D-2D registration and high-quality 3D image reconstruction methods for surgical guidance. He also works on novel surgical tracker configurations, real-time thoracoscopic video augmentation, and methods for deformable image registration in thoracic surgery. His previous experience includes the development of surgical robotics for knee and hip replacement procedures.

Sureerat ("Ja") Reaungamornrat is a Ph.D. student in the Department of Computer Science at John Hopkins University and a recipient of the Royal Thai Government Scholarship. Her current research involves the development of piecewise-rigid <a href="http://istar.jhu.edu/research/#registration" target="_new">deformable image registration</a> for image-guided spine surgery.  Her previous work at Hopkins included the development of the registration framework for cone-beam CT (CBCT)-guided <a href="http://istar.jhu.edu/old_website/pdf/Reaungamornrat_SPIE2013_DefRegTORS.pdf" target="_new">transoral robotic surgery</a>, integrating Gaussian mixture and Demons deformable registration. She received her M.Sc degree from the Department of Computer Science at John Hopkins University in 2011 on the topic of <a href="http://istar.jhu.edu/research/#guided" target="_new">surgical guidance</a> using<a href="http://istar.jhu.edu/research/#diagnostic" target="_new">CBCT</a>. She received her B.Eng degree from King Monkut’s Institute of Technology, Bangkok, Thailand in 2007, and she worked as a research assistant at the Department of Biomedical Engineering, Mahidol University, Bangkok, Thailand in 2008, where her research included surgical navigation and autonomous rescue robots.

Sureerat (Ja) Reaungamornrat

Graduate Research Assistant
Department of Computer Science
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309
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Sureerat Reaungamornrat

Graduate Research Assistant
Department of Computer Science
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309

Sureerat (“Ja”) Reaungamornrat is a Ph.D. student in the Department of Computer Science at John Hopkins University and a recipient of the Royal Thai Government Scholarship. Her current research involves the development of piecewise-rigid deformable image registration for image-guided spine surgery.  Her previous work at Hopkins included the development of the registration framework for cone-beam CT (CBCT)-guided transoral robotic surgery, integrating Gaussian mixture and Demons deformable registration. She received her M.Sc degree from the Department of Computer Science at John Hopkins University in 2011 on the topic of surgical guidance usingCBCT. She received her B.Eng degree from King Monkut’s Institute of Technology, Bangkok, Thailand in 2007, and she worked as a research assistant at the Department of Biomedical Engineering, Mahidol University, Bangkok, Thailand in 2008, where her research included surgical navigation and autonomous rescue robots.

Steve Tilley is a PhD student Biomedical Engineering at Hopkins working on the development of novel 3D imaging systems.His research includes development of <a href="http://istar.jhu.edu/research/#diagnostic" target="_new">photon counting detectors</a> for high-quality spectral CT and the development of novel <a href="http://istar.jhu.edu/research/#recon" target="_new">3D image reconstruction</a> methods, including the Known-Component Reconstruction (KCR) method for model-based reconstruction. His previous experience in Biological Engineering at Cornel Unviersity includes work in 2-photon fluorescence microscopy and hyperspectral imaging using a 16-channel fluoroescence detector system.

Steven Tilley II

Graduate Research Assistant
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309
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Steven Tilley II

Graduate Research Assistant
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309

Steve Tilley is a PhD student Biomedical Engineering at Hopkins working on the development of novel 3D imaging systems.His research includes development of photon counting detectors for high-quality spectral CT and the development of novel 3D image reconstruction methods, including the Known-Component Reconstruction (KCR) method for model-based reconstruction. His previous experience in Biological Engineering at Cornel Unviersity includes work in 2-photon fluorescence microscopy and hyperspectral imaging using a 16-channel fluoroescence detector system.

Jen Xu is a PhD student in Biomedical Engineering at Hopkins. Her PhD project involves the development, characterization, and modeling of photon counting detectors and new methods for photon counting <a href="http://istar.jhu.edu/research/#physics" target="_new">spectral (dual-energy) CT</a>. She previously worked on the <a href="http://istar.jhu.edu/old_website/pdf/Xu_MedPhys2012_CS9300.pdf" target="_new">technical assessment</a> of a new cone-beam CT scanning system for ENT and maxillofacial imaging undergoing trials at Johns Hopkins Hospital. Her work includes modeling and expermientation of single-energy and spectral cone-beam CT image quality on both the <a href="http://istar.jhu.edu/research/#diagnostic" target="_new">flat-panel CBCT Imaging Bench and photon counting CT bench</a>, helping to standardize methods for characterization of the CBCT noise-power spectrum (NPS), noise-equivalent quanta (NEQ), and dosimetry for volumetric beams.

Jennifer Xu

Graduate Research Assistant
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309
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Jennifer Xu

Graduate Research Assistant
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309

Jen Xu is a PhD student in Biomedical Engineering at Hopkins. Her PhD project involves the development, characterization, and modeling of photon counting detectors and new methods for photon counting spectral (dual-energy) CT. She previously worked on the technical assessment of a new cone-beam CT scanning system for ENT and maxillofacial imaging undergoing trials at Johns Hopkins Hospital. Her work includes modeling and expermientation of single-energy and spectral cone-beam CT image quality on both the flat-panel CBCT Imaging Bench and photon counting CT bench, helping to standardize methods for characterization of the CBCT noise-power spectrum (NPS), noise-equivalent quanta (NEQ), and dosimetry for volumetric beams.

Sarah Ouadah is a PhD student in Biomedical Engineering at Hopkins and is currently working on the development of task-based imaging using interventional C-arm systems. Her research includes development of a novel calibration technique using 3D to 2D image registration to extract the intrinsic and extrinsic parameters of the system with the purpose of allowing for atypical C-arm orbits and reducing artifact in the reconstructed images. Her previous research includes the development of realistic cardiac models from high resolution late gadolinium enhancement MR images, diffusion tensor MR images, and ECG data to aid surgeons in targeting locations for myocardial ablation for the treatment of tachycardia.

Sarah Ouadah

Graduate Research Assistant
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309
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Sarah Ouadah

Graduate Research Assistant
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309

Sarah Ouadah is a PhD student in Biomedical Engineering at Hopkins and is currently working on the development of task-based imaging using interventional C-arm systems. Her research includes development of a novel calibration technique using 3D to 2D image registration to extract the intrinsic and extrinsic parameters of the system with the purpose of allowing for atypical C-arm orbits and reducing artifact in the reconstructed images. Her previous research includes the development of realistic cardiac models from high resolution late gadolinium enhancement MR images, diffusion tensor MR images, and ECG data to aid surgeons in targeting locations for myocardial ablation for the treatment of tachycardia.

Qian Cao is a PhD student in Biomedical Engineering at Hopkins. He is currently working on methods to characterize joint space morphology in CBCT images, which could help improve early diagnosis and monitoring of arthritis as well as assess the impact of trauma in the joints. Before joining I-STAR, his previous research experience includes optical imaging and development of novel contrast agents in the extended near-infrared (exNIR) range.

Qian Cao

Graduate Research Assistant
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309
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Qian Cao

Graduate Research Assistant
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309

Qian Cao is a PhD student in Biomedical Engineering at Hopkins. He is currently working on methods to characterize joint space morphology in CBCT images, which could help improve early diagnosis and monitoring of arthritis as well as assess the impact of trauma in the joints. Before joining I-STAR, his previous research experience includes optical imaging and development of novel contrast agents in the extended near-infrared (exNIR) range.

Eugenio Marinetto is a visiting PhD candidate from the Unidad de Medicina y Cirugia Experimental, Hospital Gregorio Maranon, in Madrid Spain, where his thesis involves the development of novel systems for improved intraoperative radiation therapy. His work at the I-STAR Lab includes the development of new intraoperative ultrasound imaging techniques, integration of ultrasound with surgical navigation systems, and registration of ultrasound and CT or cone-beam CT images.

Eugenio Marinetto

Graduate Research Assistant
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309
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Eugenio Marinetto

Graduate Research Assistant
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309

Eugenio Marinetto is a visiting PhD candidate from the Unidad de Medicina y Cirugia Experimental, Hospital Gregorio Maranon, in Madrid Spain, where his thesis involves the development of novel systems for improved intraoperative radiation therapy. His work at the I-STAR Lab includes the development of new intraoperative ultrasound imaging techniques, integration of ultrasound with surgical navigation systems, and registration of ultrasound and CT or cone-beam CT images.

Michael Ketcha is a PhD student in Biomedical Engineering at Johns Hopkins and is currently working on 3D-2D image registration in application to image-guided spine procedures with a specific goal in mind of automatically labeling vertbral target within a digital radiograph.  In this project he has recently developed a method to overcome detrimental effects of anatomical deformation through a multi-stage registration framework.  His past research includes shape analysis of cortical structures extracted from brain MR data, graph analysis of neural connectomes, and ultrasound pose recovery in image-guided procedures.

Michael Ketcha

Graduate Research AssistantJohns Hopkins University
Traylor Building 624
720 Rutland Avenue
Baltimore MD 21205
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Michael Ketcha

Graduate Research AssistantJohns Hopkins University
Traylor Building 624
720 Rutland Avenue
Baltimore MD 21205

Michael Ketcha is a PhD student in Biomedical Engineering at Johns Hopkins and is currently working on 3D-2D image registration in application to image-guided spine procedures with a specific goal in mind of automatically labeling vertbral target within a digital radiograph.  In this project he has recently developed a method to overcome detrimental effects of anatomical deformation through a multi-stage registration framework.  His past research includes shape analysis of cortical structures extracted from brain MR data, graph analysis of neural connectomes, and ultrasound pose recovery in image-guided procedures.

Michael Mow is a MSE student in the Department of Biomedical Engineering at Johns Hopkins University and a research assistant in the I-STAR Lab. His research includes the development of a digital perfusion phantom using 3D/4D image simulation and a physical perfusion phantom using high-end 3D printing. He is also beginning a clinical study involving a dedicated cone beam CT head scanner used for the detection of acute intracranial hemorrhage.

Michael Mow

Graduate Research Assistant
Department of Biomedical
Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309
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Michael Mow

Graduate Research Assistant
Department of Biomedical
Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309

Michael Mow is a MSE student in the Department of Biomedical Engineering at Johns Hopkins University and a research assistant in the I-STAR Lab. His research includes the development of a digital perfusion phantom using 3D/4D image simulation and a physical perfusion phantom using high-end 3D printing. He is also beginning a clinical study involving a dedicated cone beam CT head scanner used for the detection of acute intracranial hemorrhage.

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Ph.D. Student (position open)

Project 
Research in 3D image reconstruction and image-guided surgery suitable to a PhD project. Topics include the development and translation of high-quality cone-beam CT for surgical guidance, novel 3D image reconstruction techniques, and deformable image registration.

Contact Dr. Jeff Siewerdsen (jeff.siewerdsen@jhu.edu) for details.

Research Interns

Thomas Yi is an undergraduate in Hopkins Biomedical Engineering and Computer Science. His current project focuses on adapting the UR5 robotic arm for use in high-precision, image-guided tool placement with the end goal of improving pedicle screw placement procedures.

Thomas Yi

Undergraduate Research Assistant
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309
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Thomas Yi

Undergraduate Research Assistant
Department of Biomedical Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1309

Thomas Yi is an undergraduate in Hopkins Biomedical Engineering and Computer Science. His current project focuses on adapting the UR5 robotic arm for use in high-precision, image-guided tool placement with the end goal of improving pedicle screw placement procedures.

Joshua Punnoose is a undergraduate Biomedical Engineer at Johns Hopkins. In the I-STAR Lab, <span class="il">Josh</span> is working to implement an automatic instrument registration algorithm to improve registration accuracy and design tools with unambiguous images features under radiographic imaging.

Joshua Punnoose

Undergraduate Research AssistantJohns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
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Joshua Punnoose

Undergraduate Research AssistantJohns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205

Joshua Punnoose is a undergraduate Biomedical Engineer at Johns Hopkins. In the I-STAR Lab, Josh is working to implement an automatic instrument registration algorithm to improve registration accuracy and design tools with unambiguous images features under radiographic imaging.

Alisa Brown is an undergraduate majoring in Biomedical Engineering and a sister of Kappa Alpha Theta. She is currently working on creating a library of rigid bodies which are used in passive-marker optical tracking systems.

Alisa Brown

Undergraduate Research AssistantJohns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
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Alisa Brown

Undergraduate Research AssistantJohns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue

Alisa Brown is an undergraduate majoring in Biomedical Engineering and a sister of Kappa Alpha Theta. She is currently working on creating a library of rigid bodies which are used in passive-marker optical tracking systems.

Micah Belzberg is a visiting medical student from Sackler School of Medicine at the University of Tel Aviv. His primary project involves the development of a statistical atlas of the cerebral ventricles for use in surgical device development. Between undergraduate and medical school, Micah worked at a Los Angeles based architecture firm where he participated in the design and construction of several award winning buildings.

Micah Belzberg

Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
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Micah Belzberg

Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue

Micah Belzberg is a visiting medical student from Sackler School of Medicine at the University of Tel Aviv. His primary project involves the development of a statistical atlas of the cerebral ventricles for use in surgical device development. Between undergraduate and medical school, Micah worked at a Los Angeles based architecture firm where he participated in the design and construction of several award winning buildings.

William Shyr is an undergraduate in the Department of Biomedical Engineering. He currently works on the analysis of 3D joint space from high-resolution 3D images and its correlation with biomechanical profile and pathology.

William Shyr

Undergraduate Research AssistantJohns Hopkins University
Traylor Building 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 408-480-6382
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William Shyr

Undergraduate Research AssistantJohns Hopkins University
Traylor Building 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 408-480-6382

William Shyr is an undergraduate in the Department of Biomedical Engineering. He currently works on the analysis of 3D joint space from high-resolution 3D images and its correlation with biomechanical profile and pathology.

An undergraduate Biomedical Engineer with minor in Computer Science, Victor is passionate about Computer Vision/Computer Graphics and programming. His current projects involve creating an application for automatic Cobb Angle computations given CT scans/Fast Spine data and researching cutting edge algorithms in vertical (stand-up) imaging systems.

Victor Dadfar

Undergraduate Research AssistantJohns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore, MD 21205
Phone: 410-955-1309
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Victor Dadfar

Undergraduate Research AssistantJohns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore, MD 21205
Phone: 410-955-1309

An undergraduate Biomedical Engineer with minor in Computer Science, Victor is passionate about Computer Vision/Computer Graphics and programming. His current projects involve creating an application for automatic Cobb Angle computations given CT scans/Fast Spine data and researching cutting edge algorithms in vertical (stand-up) imaging systems.

Vignesh Ramchandran is an undergraduate majoring in Biomedical Engineering working on adapting the UR5 robotic arm for use in high-precision, image-guided tool placement to assist pedicle screw placement procedures.

Vignesh Ramchandran

Undergraduate Research AssistantJohns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore, MD 21205
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Vignesh Ramchandran

Undergraduate Research AssistantJohns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore, MD 21205

Vignesh Ramchandran is an undergraduate majoring in Biomedical Engineering working on adapting the UR5 robotic arm for use in high-precision, image-guided tool placement to assist pedicle screw placement procedures.

I-STAR Collaborators

Dr. Aygun is an Associate Professor in the Johns Hopkins Medicine Department of Radiology and Radiological Science. He specializes in neuroradiology, diagnostic radiology and head and neck imaging. His research includes the development of novel imaging methods for detection and monitoring of traumatic brain injury, including a new brain imaging system under development at the I-STAR Lab in collaboration among Radiology, Biomedical Engineering, and Neurology.

Nafi Aygun, MD

Associate Professor of Radiology and Radiological ScienceThe Johns Hopkins Hospital
600 N. Wolfe Street
Hospital Main Entrance - Sheikh Zayed Tower
Baltimore, MD 21287
Phone: 410-955-6500
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Nafi Aygun

Associate Professor of Radiology and Radiological ScienceThe Johns Hopkins Hospital
600 N. Wolfe Street
Hospital Main Entrance - Sheikh Zayed Tower
Baltimore, MD 21287
Phone: 410-955-6500

Dr. Aygun is an Associate Professor in the Johns Hopkins Medicine Department of Radiology and Radiological Science. He specializes in neuroradiology, diagnostic radiology and head and neck imaging. His research includes the development of novel imaging methods for detection and monitoring of traumatic brain injury, including a new brain imaging system under development at the I-STAR Lab in collaboration among Radiology, Biomedical Engineering, and Neurology.

Dr. John Carrino is Section Chief of Musculoskeletal Radiology at Johns Hopkins University. He received his MD from Geoge Washington University and MPH from the Harvard School of Public Health. His core interests include spine imaging, novel MR imaging techniques, health services research, and radiology informatics. He is involved in a number of collaborative projects, notably in the field of musculoskeletal diagnostic imaging. He collaborates closely with the I-STAR Lab in the development of a dedicated cone-beam CT system for extremities imaging, a system for high-quality portable dual-energy imaging for the ICU, and in image quality analysis, ROC studies, and CT dosimetry.<br style="color: #000000;" /><br style="color: #000000;" />More information: <a href="http://www.hopkinsradiology.org/Musculoskeletal/Faculty/Carrino" target="_new">Hopkins Radiology/~carrino</a>

John Carrino, M.D.

Associate Professor
Departments of Radiology
and Orthopaedic Surgery
Johns Hopkins University
JHOC 5165
601 N. Caroline Street
Baltimore MD 21287
Phone: 443-287-6032
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John Carrino

Associate Professor
Departments of Radiology
and Orthopaedic Surgery
Johns Hopkins University
JHOC 5165
601 N. Caroline Street
Baltimore MD 21287
Phone: 443-287-6032

Dr. John Carrino is Section Chief of Musculoskeletal Radiology at Johns Hopkins University. He received his MD from Geoge Washington University and MPH from the Harvard School of Public Health. His core interests include spine imaging, novel MR imaging techniques, health services research, and radiology informatics. He is involved in a number of collaborative projects, notably in the field of musculoskeletal diagnostic imaging. He collaborates closely with the I-STAR Lab in the development of a dedicated cone-beam CT system for extremities imaging, a system for high-quality portable dual-energy imaging for the ICU, and in image quality analysis, ROC studies, and CT dosimetry.

More information: Hopkins Radiology/~carrino

Dr. Demehri is an Assistant Professor in the Johns Hopkins Medicine Department of Radiology and Radiological Science specializing in in diagnostic radiology and musculoskeletal (MSK) radiology, with training also nuclear radiology and noninvasive cardiovascular imaging. His research collaboration with the I-STAR Lab includes the development and translation of a new high-quality cone-beam CT system dedicated to imaging of the extremities. His work includes the translation of new imaging methods for diagnosis and monitoring in areas of orthopaedics, trauma, and rheumatology.

Shadpour Demehri, MD

Assistant Professor of Radiology and Radiological ScienceThe Johns Hopkins Hospital
600 N. Wolfe Street
Hospital Main Entrance - Sheikh Zayed Tower
Baltimore, MD 21287
Phone: 410-955-6500
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Shadpour Demehri

Assistant Professor of Radiology and Radiological ScienceThe Johns Hopkins Hospital
600 N. Wolfe Street
Hospital Main Entrance - Sheikh Zayed Tower
Baltimore, MD 21287
Phone: 410-955-6500

Dr. Demehri is an Assistant Professor in the Johns Hopkins Medicine Department of Radiology and Radiological Science specializing in in diagnostic radiology and musculoskeletal (MSK) radiology, with training also nuclear radiology and noninvasive cardiovascular imaging. His research collaboration with the I-STAR Lab includes the development and translation of a new high-quality cone-beam CT system dedicated to imaging of the extremities. His work includes the translation of new imaging methods for diagnosis and monitoring in areas of orthopaedics, trauma, and rheumatology.

Dr. Gary Gallia is an Assistant Professor of Neurosurgery and Oncology and the Director of Endoscopic and Minimally Invasive Neurosurgery at Johns Hopkins University, focusing on neurosurgical oncology. He utilizes state-of-the-art techniques for computer-assisted surgical navigation in minimally invasive and neuroendoscopic approaches in the management of patients with skull base tumors. He collaborates closely with the I-STAR Lab in the translation of high-performance C-arm cone-beam CT and surgical guidance systems from the laboratory to preclinical application in skull base surgery.<br style="color: #000000;" /><br style="color: #000000;" />More information: <a href="http://www.hopkinsmedicine.org/neurology_neurosurgery/experts/team_member_profile/4601CF81131E48A3438815A51D038808/Gary_Gallia" target="_new">Hopkins Neurosurgery/~gallia</a>

Gary Gallia, M.D.

Assistant Professor
Department of Neurosurgery
The Johns Hopkins Hospital
Phipps Bldg, Rm 118
600 N. Wolfe Street
Baltimore, MD 21287
Phone: 410-614-0585
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Gary Gallia

Assistant Professor
Department of Neurosurgery
The Johns Hopkins Hospital
Phipps Bldg, Rm 118
600 N. Wolfe Street
Baltimore, MD 21287
Phone: 410-614-0585

Dr. Gary Gallia is an Assistant Professor of Neurosurgery and Oncology and the Director of Endoscopic and Minimally Invasive Neurosurgery at Johns Hopkins University, focusing on neurosurgical oncology. He utilizes state-of-the-art techniques for computer-assisted surgical navigation in minimally invasive and neuroendoscopic approaches in the management of patients with skull base tumors. He collaborates closely with the I-STAR Lab in the translation of high-performance C-arm cone-beam CT and surgical guidance systems from the laboratory to preclinical application in skull base surgery.

More information: Hopkins Neurosurgery/~gallia

Dr. Ziya Gokaslan is a professor of neurological surgery, orthopaedic surgery and oncology at the Johns Hopkins School of Medicine. His focus includes the surgical treatment of primary and metastatic spinal tumors, sacral neoplasms and spinal cord tumors. He developed many novel approaches for resection of pancoast tumors, spinal neoplasms and sacral tumors. Dr. Gokaslan's research includes novel methods for surgical guidance and treatment of spinal tumors, intraoperative imaging, robotics, and patient safety.

Ziya Gokaslan, MD

Donlin M. Long Professor of Neurosurgery
Professor of Neurological Surgery
Johns Hopkins Hospital Phone: 410-955-4424
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Ziya Gokaslan

Donlin M. Long Professor of Neurosurgery
Professor of Neurological Surgery
Johns Hopkins Hospital Phone: 410-955-4424

Dr. Ziya Gokaslan is a professor of neurological surgery, orthopaedic surgery and oncology at the Johns Hopkins School of Medicine. His focus includes the surgical treatment of primary and metastatic spinal tumors, sacral neoplasms and spinal cord tumors. He developed many novel approaches for resection of pancoast tumors, spinal neoplasms and sacral tumors. Dr. Gokaslan’s research includes novel methods for surgical guidance and treatment of spinal tumors, intraoperative imaging, robotics, and patient safety.

Dr. Gregory Hager is Professor and Chair of the Department of Computer Science at Johns Hopkins University. His principal areas of research are computer vision and robotics, and his application interests are in the area of medical devices and human-machine systems. He directs the Computational Interaction and Robotics Lab (CIRL). He is also the Deputy Director of the NSF Engineering Research Center for Computer-Integrated Surgical Systems and Technology (ERC-CISST). He was elected a Fellow of the IEEE in 2006 for his contributions to computer vision and robotics. He collaborates with the I-STAR Lab in the development of high-precision video-CT registration for C-arm cone-beam CT-guided head and neck / skull base surgery.<br style="color: #000000;" /><br style="color: #000000;" />More information: <a href="http://www.cs.jhu.edu/~hager" target="_new">http://www.cs.jhu.edu/~hager</a>

Gregory Hager, Ph.D.

Professor and Chair
Dept. of Computer Science
The Johns Hopkins Hospital
Phipps Bldg, Rm 118
600 N. Wolfe Street
Baltimore, MD 21287
Phone: 410-516-5521
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Gregory Hager

Professor and Chair
Dept. of Computer Science
The Johns Hopkins Hospital
Phipps Bldg, Rm 118
600 N. Wolfe Street
Baltimore, MD 21287
Phone: 410-516-5521

Dr. Gregory Hager is Professor and Chair of the Department of Computer Science at Johns Hopkins University. His principal areas of research are computer vision and robotics, and his application interests are in the area of medical devices and human-machine systems. He directs the Computational Interaction and Robotics Lab (CIRL). He is also the Deputy Director of the NSF Engineering Research Center for Computer-Integrated Surgical Systems and Technology (ERC-CISST). He was elected a Fellow of the IEEE in 2006 for his contributions to computer vision and robotics. He collaborates with the I-STAR Lab in the development of high-precision video-CT registration for C-arm cone-beam CT-guided head and neck / skull base surgery.

More information: http://www.cs.jhu.edu/~hager

Dr. Jay Khanna is a Professor of Orthopaedic Surgery and Biomedical Engineering at the Johns Hopkins University. He is a spine surgeon with fellowship training in both orthopaedic and neurologic spine surgery.  His clinical practice is based in the Washington DC region at the Suburban Hospital where he serves as Division Chief of Johns Hopkins Orthopaedic Surgery in the National Capital Region.  Dr. Khanna enjoys all aspects of spine surgery although his clinical and research areas of interest lie in the sub-fields of minimally invasive spine surgery and spinal deformities such as scoliosis. In addition to his clinical expertise and leadership in the field of spine surgery, he leads research and entrepreneurial partnerships throughout Johns Hopkins, including his role as prior Clinical Director of the CBID (Center for Bioengineering, Innovation and Design) Program. He works closely with the I-STAR Lab in the development of C-arm cone-beam CT for image-guided spine surgery, evaluation of surgical workflow, minimization of radiation dose, and translation to clinical application in orthopaedic surgeries. 

<br style="color: #000000;" />More information: <a href="http://www.hopkinsmedicine.org/profiles/results/directory/profile/0009137/jay-khanna" target="_blank">here</a>.

A. Jay Khanna, M.D.

Professor
Dept. of Orthopaedic Surgery
Johns Hopkins University
Good Samaritan Hospital
5601 Loch Raven Blvd, Rm G-1
Baltimore, MD USA 21239
Phone: 443-444-4538
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A. Jay Khanna

Professor
Dept. of Orthopaedic Surgery
Johns Hopkins University
Good Samaritan Hospital
5601 Loch Raven Blvd, Rm G-1
Baltimore, MD USA 21239
Phone: 443-444-4538

Dr. Jay Khanna is a Professor of Orthopaedic Surgery and Biomedical Engineering at the Johns Hopkins University. He is a spine surgeon with fellowship training in both orthopaedic and neurologic spine surgery. His clinical practice is based in the Washington DC region at the Suburban Hospital where he serves as Division Chief of Johns Hopkins Orthopaedic Surgery in the National Capital Region. Dr. Khanna enjoys all aspects of spine surgery although his clinical and research areas of interest lie in the sub-fields of minimally invasive spine surgery and spinal deformities such as scoliosis. In addition to his clinical expertise and leadership in the field of spine surgery, he leads research and entrepreneurial partnerships throughout Johns Hopkins, including his role as prior Clinical Director of the CBID (Center for Bioengineering, Innovation and Design) Program. He works closely with the I-STAR Lab in the development of C-arm cone-beam CT for image-guided spine surgery, evaluation of surgical workflow, minimization of radiation dose, and translation to clinical application in orthopaedic surgeries.


More information: here.

Dr. Koliatsos is a neurologist and psychiatrist leading research in basic, translational, and clinical science of neural injury and repair. His most recent research includes models of traumatic brain injury, including models of blast injury and imaging methods for detection and monitoring of TBI. In collaboration with Biomedical Engineering and the I-STAR Lab at Johns Hopkins University, his research includes the development of a new imaging system for reliable detection of acute TBI at the point of care.

Vassilis Koliatsos, MD

Associate Professor, Department of Psychiatry and Behavioral Sciences
Professor, Department of Pathology, Division of Neuropathology
Professor, Department of Neurology
Division of Neuropathology
Johns Hopkins University School of Medicine
558 Richard Star Ross Research Building
720 Rutland Avenue, Baltimore, MD 21205
Phone: 410-955-5633
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Vassilis Koliatsos

Associate Professor, Department of Psychiatry and Behavioral Sciences
Professor, Department of Pathology, Division of Neuropathology
Professor, Department of Neurology
Division of Neuropathology
Johns Hopkins University School of Medicine
558 Richard Star Ross Research Building
720 Rutland Avenue, Baltimore, MD 21205
Phone: 410-955-5633

Dr. Koliatsos is a neurologist and psychiatrist leading research in basic, translational, and clinical science of neural injury and repair. His most recent research includes models of traumatic brain injury, including models of blast injury and imaging methods for detection and monitoring of TBI. In collaboration with Biomedical Engineering and the I-STAR Lab at Johns Hopkins University, his research includes the development of a new imaging system for reliable detection of acute TBI at the point of care.

Dr. Junghoon ('Daniel') Lee is faculty in the Department of Electrical and Computer Engineering (ECE) and the Engineering Research Center for Computer-Integrated Surgical Systems and Technology (ERC-CISST) at Hopkins. His interests include statistical signal/image processing and computer-assisted interventions. His work includes modeling of 3D image quality in tomosynthesis and cone-beam CT and the development of novel 3D image reconstruction techniques, particularly incorporating prior information (e.g., preoperative image and/or statistical atlas models) in 3D reconstruction from sparse and/or short-scan data. His background includes research in image-guided neurosurgery, virtual simulation in cardiac surgery, simultaneous 3-D reconstruction and classification of viruses in electron microscopy, ASIC design, and telemetry for the total artifical heart.

Junghoon Lee, Ph.D.

Associate Research Faculty
Department of Electrical and Computer Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1305
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Junghoon Lee

Associate Research Faculty
Department of Electrical and Computer Engineering
Johns Hopkins University
Traylor Building, Room 624
720 Rutland Avenue
Baltimore MD 21205
Phone: 410-955-1305

Dr. Junghoon (‘Daniel’) Lee is faculty in the Department of Electrical and Computer Engineering (ECE) and the Engineering Research Center for Computer-Integrated Surgical Systems and Technology (ERC-CISST) at Hopkins. His interests include statistical signal/image processing and computer-assisted interventions. His work includes modeling of 3D image quality in tomosynthesis and cone-beam CT and the development of novel 3D image reconstruction techniques, particularly incorporating prior information (e.g., preoperative image and/or statistical atlas models) in 3D reconstruction from sparse and/or short-scan data. His background includes research in image-guided neurosurgery, virtual simulation in cardiac surgery, simultaneous 3-D reconstruction and classification of viruses in electron microscopy, ASIC design, and telemetry for the total artifical heart.

Dr. Lo is a resident in neurosurgery active in clinical training and research underway at Johns Hopkins University. He works closely with biomedical engineers in the I-STAR Lab on topics of intraoperative imaging and patient safety, including methods for reliable target localization, such as the LevelCheck algorithm for fast, automatic identification of target vertebrae in spine surgery.

Sheng-Fu (Larry) Lo, MD

Assistant Resident, NeurosurgeryThe Johns Hopkins Hospital
Department of Neurosurgery
Meyer Bldg, Room 8-161
600 N. Wolfe Street
Baltimore, MD 21287
Phone: 410-955-6405
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Sheng-Fu Lo

Assistant Resident, NeurosurgeryThe Johns Hopkins Hospital
Department of Neurosurgery
Meyer Bldg, Room 8-161
600 N. Wolfe Street
Baltimore, MD 21287
Phone: 410-955-6405

Dr. Lo is a resident in neurosurgery active in clinical training and research underway at Johns Hopkins University. He works closely with biomedical engineers in the I-STAR Lab on topics of intraoperative imaging and patient safety, including methods for reliable target localization, such as the LevelCheck algorithm for fast, automatic identification of target vertebrae in spine surgery.

Dr. Mahadevappa Mahesh, MS, PhD, FAAPM, FACR, is Associate Professor of Radiology in the Division of Cardiology at the Johns Hopkins University School of Medicine. As Chief Physicist at the Johns Hopkins Hospital, he oversees the quality assurance program for Diagnostic Radiology, including compliance with state and federal regulations and ensuring safe use of radiation to patients. He is a recognized expert in the field of radiation dosimetry and regularly provides counsel to patients regarding radiation exposure concerns. His research interests include multiple-detector computed tomography (MDCT), interventional fluoroscopy, and digital mammography. He collaborates closely with the I-STAR Lab in the development of advanced 3D imaging systems, dual-energy radiography systems, novel imaging phantoms, and the minimization of radiation dose.

<br style="color: #000000;" />More information: <a href="http://dmip.rad.jhmi.edu/people/faculty/Mahesh/index.htm" target="_new">Hopkins Radiology/~mahesh</a>

Mahadevappa Mahesh, Ph.D.

Associate Professor
Chief Physicist
Department of Radiology
Johns Hopkins University
JHOC Suite 4235
601 N. Caroline Street
Baltimore, MD 21287-0856
Phone: 410-955-5115
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Mahadevappa Mahesh

Associate Professor
Chief Physicist
Department of Radiology
Johns Hopkins University
JHOC Suite 4235
601 N. Caroline Street
Baltimore, MD 21287-0856
Phone: 410-955-5115

Dr. Mahadevappa Mahesh, MS, PhD, FAAPM, FACR, is Associate Professor of Radiology in the Division of Cardiology at the Johns Hopkins University School of Medicine. As Chief Physicist at the Johns Hopkins Hospital, he oversees the quality assurance program for Diagnostic Radiology, including compliance with state and federal regulations and ensuring safe use of radiation to patients. He is a recognized expert in the field of radiation dosimetry and regularly provides counsel to patients regarding radiation exposure concerns. His research interests include multiple-detector computed tomography (MDCT), interventional fluoroscopy, and digital mammography. He collaborates closely with the I-STAR Lab in the development of advanced 3D imaging systems, dual-energy radiography systems, novel imaging phantoms, and the minimization of radiation dose.


More information: Hopkins Radiology/~mahesh

Dr. Jerry Prince joined the faculty at Johns Hopkins University in 1989, where he is the William B. Kouwenhoven Professor of Electrical and Computer Engineering. He holds joint appointments in the Departments of Radiology and Biomedical Engineering and a secondary appointment in Applied Mathematics and Statistics. He is also Associate Director for Research of the Engineering Research Center for Computer Integrated Surgical Systems and Technology (ERC-CISST). His research interests are in image processing and computer vision with application to medical imaging. He collaborates with the I-STAR Lab on image quality models, observer performance, image registration, and advanced reconstruction techniques. <br style="color: #000000;" /><br style="color: #000000;" />More information: <a href="http://www.iacl.ece.jhu.edu/Prince" target="_new">http://www.iacl.ece.jhu.edu/Prince</a>

Jerry L. Prince, Ph.D.

Professor
Department of Electrical and Computer Engineering
201B Clark Hall
3400 North Charles St.
Baltimore MD 21218
Phone: 410-516-5192
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Jerry L. Prince

Professor
Department of Electrical and Computer Engineering
201B Clark Hall
3400 North Charles St.
Baltimore MD 21218
Phone: 410-516-5192

Dr. Jerry Prince joined the faculty at Johns Hopkins University in 1989, where he is the William B. Kouwenhoven Professor of Electrical and Computer Engineering. He holds joint appointments in the Departments of Radiology and Biomedical Engineering and a secondary appointment in Applied Mathematics and Statistics. He is also Associate Director for Research of the Engineering Research Center for Computer Integrated Surgical Systems and Technology (ERC-CISST). His research interests are in image processing and computer vision with application to medical imaging. He collaborates with the I-STAR Lab on image quality models, observer performance, image registration, and advanced reconstruction techniques.

More information: http://www.iacl.ece.jhu.edu/Prince

Dr. Doug Reh is a surgeon in the Department of Otolaryngology - Head and Neck Surgery at Johns Hopkins Hospital. His clinical expertise includes a broad spectrum of head and neck interventions, including: complex and revision endoscopic sinus surgery,endoscopic skull base surgery, management of chronic sinusitis with polyps, revision frontal sinus surgery, sinonasal and anterior skull base tumors, sinonasal cerebrospinal fluid leaks, and endoscopic management of nasolacrimal duct obstruction and Grave's orbitopathy. He collaborates with the I-STAR Lab closely in the development of C-arm cone-beam CT and video-CT registration for surgical guidance in head and neck / skull-base surgery.<br style="color: #000000;" /><br style="color: #000000;" />More information: <a href="http://www.hopkinsmedicine.org/otolaryngology/our_team/faculty/reh.html" target="_new">Hopkins Otolaryngology-HNS/~reh</a>

Douglas Reh, M.D.

Assistant Professor
Department of Otolaryngology - Head and Neck Surgery
Division of Rhinology and Sinus Surgery
Johns Hopkins University
JHOC, 6th Floor
601 N. Caroline Street
Baltimore MD 21287-0910
Phone: 410-955-2307
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Douglas Reh

Assistant Professor
Department of Otolaryngology - Head and Neck Surgery
Division of Rhinology and Sinus Surgery
Johns Hopkins University
JHOC, 6th Floor
601 N. Caroline Street
Baltimore MD 21287-0910
Phone: 410-955-2307

Dr. Doug Reh is a surgeon in the Department of Otolaryngology – Head and Neck Surgery at Johns Hopkins Hospital. His clinical expertise includes a broad spectrum of head and neck interventions, including: complex and revision endoscopic sinus surgery,endoscopic skull base surgery, management of chronic sinusitis with polyps, revision frontal sinus surgery, sinonasal and anterior skull base tumors, sinonasal cerebrospinal fluid leaks, and endoscopic management of nasolacrimal duct obstruction and Grave’s orbitopathy. He collaborates with the I-STAR Lab closely in the development of C-arm cone-beam CT and video-CT registration for surgical guidance in head and neck / skull-base surgery.

More information: Hopkins Otolaryngology-HNS/~reh

Dr. Jeremy Richmon is head and neck surgeon and expert in robotic-assisted surgery. He has helped to pioneer new approaches in minimally invasive, robotic-assisted thyroidectomy and base of tongue surgery. His clinical expertise includes head and neck cancer, microsvascular reconstruction, and tumors of the oral cavity, salivary glands, pharynx, larynx, sinuses, and skull base. Collaboration with I-STAR includes the development of advanced image-guidance and image registration techniques for integration in trans-oral robotic-assisted surgery.<br style="color: #000000;" /><br style="color: #000000;" />More information: <a href="http://www.hopkinsmedicine.org/otolaryngology/our_team/faculty/richmon.html" target="_new">Hopkins Otolaryngology-HNS</a>

Jeremy Richmon, M.D.

Assistant Professor
Department of Otolaryngology - Head and Neck Surgery
Johns Hopkins University Phone: 410-955-6420
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Jeremy Richmon

Assistant Professor
Department of Otolaryngology - Head and Neck Surgery
Johns Hopkins University Phone: 410-955-6420

Dr. Jeremy Richmon is head and neck surgeon and expert in robotic-assisted surgery. He has helped to pioneer new approaches in minimally invasive, robotic-assisted thyroidectomy and base of tongue surgery. His clinical expertise includes head and neck cancer, microsvascular reconstruction, and tumors of the oral cavity, salivary glands, pharynx, larynx, sinuses, and skull base. Collaboration with I-STAR includes the development of advanced image-guidance and image registration techniques for integration in trans-oral robotic-assisted surgery.

More information: Hopkins Otolaryngology-HNS

Dr. Ken Taguchi is recognized leader in the field of CT image science, 3D / 4D image reconstruction, CT data acquisition, photon counting, and spectral CT. He is among the pioneers of multi-detector CT (MDCT) in the 1990s and leads a vibrant program of research in advanced CT imaging technologies. Dr. Taguchi's collaboration with I-STAR includes the development of new photon counting detector systems for CT and spectral CT, including the development of new experimental systems for photon counting CT and new algorithms for high-quality dual-energy CT decomposition.

More information: <a href="http://dmip.rad.jhmi.edu/people/faculty/Taguchi/index.htm" target="_new">Division of Medical Imaging Physics (DMIP)</a>

Katsuyuki (Ken) Taguchi, Ph.D.

Associate Professor
Department of Radiology
Johns Hopkins University Phone: 433-287-2974
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Katsuyuki Taguchi

Associate Professor
Department of Radiology
Johns Hopkins University Phone: 433-287-2974

Dr. Ken Taguchi is recognized leader in the field of CT image science, 3D / 4D image reconstruction, CT data acquisition, photon counting, and spectral CT. He is among the pioneers of multi-detector CT (MDCT) in the 1990s and leads a vibrant program of research in advanced CT imaging technologies. Dr. Taguchi’s collaboration with I-STAR includes the development of new photon counting detector systems for CT and spectral CT, including the development of new experimental systems for photon counting CT and new algorithms for high-quality dual-energy CT decomposition.

More information: Division of Medical Imaging Physics (DMIP)

Dr. Russ Taylor is the Director of the NSF Engineering Research Center for Computer-Integrated Surgical Systems and Technology (ERC-CISST). His work focuses on robotics in medicine, image-guided interventions, medical imaging and modeling, and integration of advanced interventional systems. The theme underlying a broad spectrum of research in his laboratories is the basic insight that information-based technologies can have similar impact in computer-integrated medicine as they have had on computer-integrated manufacturing techniques. He collaborates closely with the I-STAR Lab on topics of image-guided interventions and advanced image reconstruction and modeling techniques.<br style="color: #000000;" /><br style="color: #000000;" />More information: <a href="http://www.cs.jhu.edu/~rht/" target="_new">http://www.cs.jhu.edu/~rht/</a>

Russell H. Taylor, Ph.D.

Professor
Dept. of Computer Science
127 Computational Sciences and Engineering Building
Johns Hopkins University
3400 North Charles Street
Baltimore, Maryland 21218 USA
Phone: 410-516-6299
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Russell Taylor

Professor
Dept. of Computer Science
127 Computational Sciences and Engineering Building
Johns Hopkins University
3400 North Charles Street
Baltimore, Maryland 21218 USA
Phone: 410-516-6299

Dr. Russ Taylor is the Director of the NSF Engineering Research Center for Computer-Integrated Surgical Systems and Technology (ERC-CISST). His work focuses on robotics in medicine, image-guided interventions, medical imaging and modeling, and integration of advanced interventional systems. The theme underlying a broad spectrum of research in his laboratories is the basic insight that information-based technologies can have similar impact in computer-integrated medicine as they have had on computer-integrated manufacturing techniques. He collaborates closely with the I-STAR Lab on topics of image-guided interventions and advanced image reconstruction and modeling techniques.

More information: http://www.cs.jhu.edu/~rht/

Dr. Jean-Paul Wolinsky's work involves neurosurgical oncology, pathology of the occipital-cervical junction and complex spinal reconstruction. He has been actively developing new approaches to spinal surgery and concepts for spinal reconstruction. His research includes new systems for surgical navigation and intraoperative imaging, including methods for fast registration and high-precision guidance.

Jean-Paul Wolinsky, MD

Associate Professor of Neurological SurgeryThe Johns Hopkins Hospital
600 N. Wolfe Street
Meyer Building, 7th floor Room 109
Baltimore, MD 21287
Phone: 410-955-4424
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Jean-Paul Wolinsky

Associate Professor of Neurological SurgeryThe Johns Hopkins Hospital
600 N. Wolfe Street
Meyer Building, 7th floor Room 109
Baltimore, MD 21287
Phone: 410-955-4424

Dr. Jean-Paul Wolinsky’s work involves neurosurgical oncology, pathology of the occipital-cervical junction and complex spinal reconstruction. He has been actively developing new approaches to spinal surgery and concepts for spinal reconstruction. His research includes new systems for surgical navigation and intraoperative imaging, including methods for fast registration and high-precision guidance.

I-STAR Alumni