World's Best Scientists 2026 revealed!
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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
53
Citations
15857
World Ranking
4721
National Ranking
63

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award
  • 2015 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2008 - SPIE Fellow

Overview

Jiang Hsieh is affiliated with General Electric (Spain) in Spain and focuses on research primarily in the fields of Medicine and Engineering. Their work centers on Radiology, Nuclear Medicine and Imaging, as well as Biomedical Engineering, with additional contributions to Surgery, Pulmonary and Respiratory Medicine, and Electrical and Electronic Engineering.

The main topics covered in their research include:

  • Advanced X-ray and CT Imaging
  • Medical Imaging Techniques and Applications
  • Radiation Dose and Imaging
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced MRI Techniques and Applications
  • Cardiac Imaging and Diagnostics
  • Coronary Interventions and Diagnostics

Hsieh has multiple recent publications, reflecting their focus in CT and medical imaging technology. These include:

  • "Computed tomography recent history and future perspectives," 2021, Journal of Medical Imaging
  • "Protocol Optimization Considerations for Implementing Deep Learning CT Reconstruction," 2021, American Journal of Roentgenology
  • "Can Photon-Counting CT Improve Estimation Accuracy of Morphological Radiomics Features? A Simulation Study for Assessing the Quantitative Benefits from Improved Spatial Resolution in Deep Silicon-Based Photon-Counting CT," 2022, Academic Radiology
  • "High Pitch Helical CT Reconstruction," 2021, IEEE Transactions on Medical Imaging
  • "Principles and applications of multienergy CT: Report of AAPM Task Group 291," 2020, Medical Physics

Frequent coauthors in Hsieh's work include:

  • Thomas Flohr
  • Shobhit Sharma
  • Debashish Pal
  • Ehsan Abadi
  • Paul Segars

Hsieh commonly publishes in several venues, notably:

  • Medical Physics
  • Journal of cardiovascular computed tomography
  • SPIE eBooks
  • Journal of Medical Imaging
  • American Journal of Roentgenology

In addition to articles, Hsieh has contributed to book publications, including a title published by SPIE:

  • "Computed Tomography: Principles, Design, Artifacts, and Recent Advances, Fourth Edition," 2022

Their academic recognition includes fellowships from professional organizations:

  • Fellow of the Indian National Academy of Engineering (INAE), 2015
  • SPIE Fellow, 2008

Best Publications

  • Computed Tomography: Principles, Design, Artifacts, and Recent Advances

    Jiang Hsieh

  • A three-dimensional statistical approach to improved image quality for multislice helical CT.

    Jean-Baptiste Thibault;Ken D. Sauer;Charles A. Bouman;Jiang Hsieh

  • Low-Dose X-ray CT Reconstruction via Dictionary Learning

    Qiong Xu;Hengyong Yu;Xuanqin Mou;Lei Zhang

  • Prospectively Gated Transverse Coronary CT Angiography versus Retrospectively Gated Helical Technique : Improved Image Quality and Reduced Radiation Dose

    James P Earls;Elise L Berman;Bruce A Urban;Charlene A Curry

  • Abdominal CT: Comparison of Adaptive Statistical Iterative and Filtered Back Projection Reconstruction Techniques

    Sarabjeet Singh;Mannudeep K. Kalra;Jiang Hsieh;Paul E. Licato

  • Reducing abdominal CT radiation dose with adaptive statistical iterative reconstruction technique.

    Priyanka Prakash;Mannudeep K. Kalra;Avinash K. Kambadakone;Homer Pien

  • Adaptive streak artifact reduction in computed tomography resulting from excessive x-ray photon noise

    Jiang Hsieh

  • Adaptive statistical iterative reconstruction technique for radiation dose reduction in chest CT: a pilot study.

    Sarabjeet Singh;Mannudeep K. Kalra;Matthew D. Gilman;Jiang Hsieh

  • Nonlinear sinogram smoothing for low-dose X-ray CT

    Tianfang Li;Xiang Li;Jing Wang;Junhai Wen

  • Fast Model-Based X-Ray CT Reconstruction Using Spatially Nonhomogeneous ICD Optimization

    Zhou Yu;J Thibault;C A Bouman;K D Sauer

  • An iterative approach to the beam hardening correction in cone beam CT

    Jiang Hsieh;Robert C. Molthen;Robert C. Molthen;Christopher A. Dawson;Roger H. Johnson;Roger H. Johnson

  • Step-and-shoot data acquisition and reconstruction for cardiac x-ray computed tomography

    Jiang Hsieh;John Londt;Melissa Vass;Jay Li

  • Radiation dose reduction with chest computed tomography using adaptive statistical iterative reconstruction technique: initial experience.

    Priyanka Prakash;Mannudeep K. Kalra;Subba R. Digumarthy;Jiang Hsieh

  • Computer-simulated radiation dose reduction for abdominal multidetector CT of pediatric patients.

    Donald P. Frush;Christopher C. Slack;Caroline L. Hollingsworth;George S. Bisset

  • A novel reconstruction algorithm to extend the CT scan field-of-view.

    J. Hsieh;E. Chao;J. Thibault;B. Grekowicz

  • A three-dimensional-weighted cone beam filtered backprojection (CB-FBP) algorithm for image reconstruction in volumetric CT-helical scanning.

    Xiangyang Tang;Jiang Hsieh;Roy A Nilsen;Sandeep Dutta

  • Predictive respiratory gating: a new method to reduce motion artifacts on CT scans.

    C. J. Ritchie;Jiang Hsieh;M. F. Gard;J. D. Godwin

  • Diffuse Lung Disease: CT of the Chest with Adaptive Statistical Iterative Reconstruction Technique

    Priyanka Prakash;Mannudeep K. Kalra;Jeanne B. Ackman;Subba R. Digumarthy

  • Recent Advances in CT Image Reconstruction

    Jiang Hsieh;Brian Nett;Zhou Yu;Ken Sauer

  • Volumetric computed tomography system for cardiac imaging

    Hui Hu;Jiang Hsieh;Stanley H. Fox;Kishore C. Acharya

Frequent Co-Authors

Ge Wang
Ge Wang Rensselaer Polytechnic Institute
Guang-Hong Chen
Guang-Hong Chen University of Wisconsin–Madison
Charles A. Bouman
Charles A. Bouman Purdue University West Lafayette
Hengyong Yu
Hengyong Yu University of Massachusetts Lowell
Charles A. Mistretta
Charles A. Mistretta University of Wisconsin–Madison
Zhengrong Liang
Zhengrong Liang Stony Brook University
Jeffrey H. Siewerdsen
Jeffrey H. Siewerdsen The University of Texas MD Anderson Cancer Center
Paul E. Kinahan
Paul E. Kinahan University of Washington
Lei Zhang
Lei Zhang Hong Kong Polytechnic University

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