World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
75
Citations
24075
World Ranking
737
National Ranking
254

Research.com Recognitions

  • 2016 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Jeffrey H. Siewerdsen is affiliated with The University of Texas MD Anderson Cancer Center in the United States. Their research primarily spans the fields of Medicine and Engineering, with a focus on specialized areas including Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery, Computer Vision and Pattern Recognition, and Radiation.

Their work covers several main topics, notably Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging, Radiation Dose and Imaging, Medical Imaging and Analysis, Advanced Radiotherapy Techniques, Spinal Fractures and Fixation Techniques, and Medical Image Segmentation Techniques.

Several recent papers highlight their contributions to the field. These include:

  • "Deformable MR-CT image registration using an unsupervised, dual-channel network for neurosurgical guidance", 2021, Medical Image Analysis
  • "Computed Tomography", 2022, Investigative Radiology
  • "Automated Registration-Based Temporal Bone Computed Tomography Segmentation for Applications in Neurotologic Surgery", 2021, Otolaryngology
  • "Imaging in Interventional Radiology: 2043 and Beyond", 2023, Radiology
  • "Cone-beam CT for imaging of the head/brain: Development and assessment of scanner prototype and reconstruction algorithms", 2020, Medical Physics

The scientist has collaborated frequently with a consistent group of coauthors, including Ali Uneri, Wojciech Zbijewski, Alejandro Sisniega, Pengwei Wu, and Craig Jones.

Their publications have appeared prominently in venues such as Medical Physics, Journal of Medical Imaging, Physics in Medicine and Biology, the 7th International Conference on Image Formation in X-Ray Computed Tomography, and Medical Imaging 2020: Physics of Medical Imaging.

Jeffrey H. Siewerdsen's research topics contribute to a broad understanding of advanced medical imaging techniques and their applications in clinical and interventional radiology. Their work also includes developments in image registration and segmentation techniques, as well as innovations in imaging hardware and reconstruction algorithms.

In 2016, they were recognized as a Fellow of the Indian National Academy of Engineering (INAE), an acknowledgment within the field of engineering.

Best Publications

  • Flat-panel cone-beam computed tomography for image-guided radiation therapy

    David A Jaffray;Jeffrey H Siewerdsen;John W Wong;Alvaro A Martinez

  • Cone-beam computed tomography with a flat-panel imager: Magnitude and effects of x-ray scatter

    Jeffrey H. Siewerdsen;David A. Jaffray

  • Cone‐beam computed tomography with a flat‐panel imager: Initial performance characterization

    D. A. Jaffray;J. H. Siewerdsen

  • Process for on-line cone beam computerized tomography guidance of radiation therapy procedures

    David A Jaffrey;デイヴィッド エイ ジャフリー;John W Wong;ジョン ダブリュー ウォン

  • Technical aspects of dental CBCT: state of the art

    Ruben Pauwels;K Araki;J H Siewerdsen;S S Thongvigitmanee

  • Evaluation of sparse-view reconstruction from flat-panel-detector cone-beam CT.

    Junguo Bian;Jeffrey H Siewerdsen;Xiao Han;Emil Y Sidky

  • Prostate gland motion assessed with cine-magnetic resonance imaging (cine-MRI).

    Michel J. Ghilezan;David A. Jaffray;Jeffrey H. Siewerdsen;Marcel Van Herk

  • Patient dose from kilovoltage cone beam computed tomography imaging in radiation therapy

    Mohammad K. Islam;Thomas G. Purdie;Bernhard D. Norrlinger;Hamideh Alasti

  • A simple, direct method for x-ray scatter estimation and correction in digital radiography and cone-beam CT.

    J. H. Siewerdsen;M. J. Daly;B. Bakhtiar;D. J. Moseley

  • Volume CT with a flat-panel detector on a mobile, isocentric C-arm: Pre-clinical investigation in guidance of minimally invasive surgery

    J. H. Siewerdsen;D. J. Moseley;S. Burch;S. K. Bisland

  • Accurate technique for complete geometric calibration of cone-beam computed tomography systems.

    Youngbin Cho;Douglas J. Moseley;Jeffrey H. Siewerdsen;David A. Jaffray

  • Spektr: A computational tool for x-ray spectral analysis and imaging system optimization

    J. H. Siewerdsen;A. M. Waese;D. J. Moseley;S. Richard

  • Empirical and theoretical investigation of the noise performance of indirect detection, active matrix flat-panel imagers (AMFPIs) for diagnostic radiology

    J. H. Siewerdsen;L. E. Antonuk;Y. El-Mohri;J. Yorkston

  • Cone-beam-CT guided radiation therapy: Technical implementation

    Daniel Létourneau;John W. Wong;Mark Oldham;Misbah Gulam

  • Comparison of localization performance with implanted fiducial markers and cone-beam computed tomography for on-line image-guided radiotherapy of the prostate.

    Douglas J. Moseley;Elizabeth A. White;Kirsty L. Wiltshire;Tara Rosewall

  • Signal, noise power spectrum, and detective quantum efficiency of indirect-detection flat-panel imagers for diagnostic radiology

    J. H. Siewerdsen;L. E. Antonuk;Y. El-Mohri;J. Yorkston

  • A ghost story: spatio-temporal response characteristics of an indirect-detection flat-panel imager.

    J. H. Siewerdsen;D. A. Jaffray

  • The influence of antiscatter grids on soft-tissue detectability in cone-beam computed tomography with flat-panel detectors.

    J. H. Siewerdsen;D. J. Moseley;B. Bakhtiar;S. Richard

  • Optimization of x-ray imaging geometry (with specific application to flat-panel cone-beam computed tomography).

    Jeffrey H. Siewerdsen;David A. Jaffray

  • High resolution gel-dosimetry by optical-CT and MR scanning

    Mark Oldham;Jeffrey H. Siewerdsen;Anil Shetty;David A. Jaffray

Frequent Co-Authors

David A. Jaffray
David A. Jaffray The University of Texas MD Anderson Cancer Center
John A. Carrino
John A. Carrino Hospital for Special Surgery
Jerry L. Prince
Jerry L. Prince Johns Hopkins University
Russell H. Taylor
Russell H. Taylor Johns Hopkins University
Alvaro Martinez
Alvaro Martinez Beaumont Health
Ziya L. Gokaslan
Ziya L. Gokaslan Brown University
Robert A. Street
Robert A. Street Palo Alto Research Center
Gregory D. Hager
Gregory D. Hager Johns Hopkins University
Sean W. Graham
Sean W. Graham University of British Columbia
Rebecca Fahrig
Rebecca Fahrig Siemens Healthcare (United States)

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