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Computer Science

D-Index
39
Citations
10682
World Ranking
9534
National Ranking
4041

Overview

Emil Y. Sidky is affiliated with the University of Chicago in the United States and has contributed extensively to the fields of medicine and engineering, with a particular focus on radiology, nuclear medicine, and imaging. Their research spans a range of topics primarily centered on medical imaging techniques and advanced X-ray and CT imaging.

Their recent scholarly output includes multiple publications in notable scientific venues. Selected papers by Emil Y. Sidky include:

  • Do CNNs Solve the CT Inverse Problem? (2020), published in IEEE Transactions on Biomedical Engineering
  • Report on the AAPM deep-learning sparse-view CT grand challenge (2022), published in Medical Physics

Other significant works co-authored include studies on image reconstruction and spectral CT published in Medical Image Analysis, Computerized Medical Imaging and Graphics, and Medical Physics, reflecting a collaboration across several specialized journals in the domain.

Emil Y. Sidky frequently collaborates with researchers such as Xiaochuan Pan, Buxin Chen, Dan Xia, Zheng Zhang, and Taly Gilat Schmidt. This network of coauthors indicates active contributions to interdisciplinary projects within biomedical engineering and advanced imaging methods.

Publication venues where Emil Y. Sidky has repeatedly contributed include:

  • Medical Physics
  • arXiv (Cornell University)
  • 7th International Conference on Image Formation in X-Ray Computed Tomography
  • IEEE Transactions on Biomedical Engineering
  • Journal of Magnetic Resonance

The principal areas of study associated with Emil Y. Sidky's work are Medicine and Engineering, with subfields focusing on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Atomic and Molecular Physics, Radiation, and Electrical and Electronic Engineering.

The main research topics addressed in their publications include:

  • Medical Imaging Techniques and Applications
  • Advanced X-ray and CT Imaging
  • Radiation Dose and Imaging
  • Advanced MRI Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Atomic and Subatomic Physics Research
  • Welding Techniques and Residual Stresses

This extensive publication record and range of research topics emphasize a focus on improving imaging technologies and methods relevant to medical diagnostics and treatment planning.

Best Publications

  • Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization

    Emil Y Sidky;Xiaochuan Pan

  • Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT

    Emil Y. Sidky;Chien-Min Kao;Xiaochuan Pan

  • Why do commercial CT scanners still employ traditional, filtered back-projection for image reconstruction?

    Xiaochuan Pan;Emil Y Sidky;Michael Vannier

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

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

  • Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle-Pock algorithm

    Emil Y. Sidky;Jakob Heide Jørgensen;Xiaochuan Pan

  • Enhanced imaging of microcalcifications in digital breast tomosynthesis through improved image-reconstruction algorithms.

    Emil Y. Sidky;Xiaochuan Pan;Ingrid S. Reiser;Robert M. Nishikawa

  • A robust method of x-ray source spectrum estimation from transmission measurements: Demonstrated on computer simulated, scatter-free transmission data

    Emil Y. Sidky;Lifeng Yu;Xiaochuan Pan;Yu Zou

  • Image reconstruction in regions-of-interest from truncated projections in a reduced fan-beam scan.

    Yu Zou;Xiaochuan Pan;Emil Y Sidky

  • Algorithm-Enabled Low-Dose Micro-CT Imaging

    Xiao Han;Junguo Bian;D R Eaker;T L Kline

  • Accurate image reconstruction from few-view and limited-angle data in diffraction tomography.

    Samuel J. LaRoque;Emil Y. Sidky;Xiaochuan Pan

  • Compressive sensing in medical imaging

    Christian G. Graff;Emil Y. Sidky

  • Region of interest reconstruction from truncated data in circular cone-beam CT

    Lifeng Yu;Yu Zou;E.Y. Sidky;C.A. Pelizzari

  • Optimization-based reconstruction of sparse images from few-view projections.

    Xiao Han;Junguo Bian;Erik L Ritman;Emil Y Sidky

  • Theory and algorithms for image reconstruction on chords and within regions of interest

    Yu Zou;Xiaochuan Pan;Emil Y Sidky

  • A constrained, total-variation minimization algorithm for low-intensity x-ray CT

    Emil Y. Sidky;Yuval Duchin;Xiaochuan Pan;Christer Ullberg

  • Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT

    Emil Y. Sidky;Chien-Min Kao;Xiaochuan Pan

  • Quantifying Admissible Undersampling for Sparsity-Exploiting Iterative Image Reconstruction in X-Ray CT

    J. S. Jorgensen;E. Y. Sidky;X. Pan

  • Imaging system performing substantially exact reconstruction and using non-traditional trajectories

    Xiaochuan Pan;Yu Zou;Lifeng Yu;Chien-Min Kao

  • An algorithm for constrained one-step inversion of spectral CT data.

    Rina Foygel Barber;Emil Y Sidky;Taly Gilat Schmidt;Xiaochuan Pan

  • A constrained, total-variation minimization algorithm for low-intensity X-ray CT

    Emil Y. Sidky;Yuval Duchin;Christer Ullberg;Xiaochuan Pan

  • Image reconstruction from limited or incomplete data

    Xiaochuan M. Pan;Emil Sidky;Chien-Min Kao

  • An algorithm for constrained one-step inversion of spectral CT data

    Rina Foygel Barber;Emil Y. Sidky;Taly Gilat Schmidt;Xiaochuan Pan

  • Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle-Pock algorithm

    Emil Y. Sidky;Jakob H. Jørgensen;Xiaochuan Pan

Frequent Co-Authors

Xiaochuan Pan
Xiaochuan Pan University of Chicago
Mark A. Anastasio
Mark A. Anastasio University of Illinois at Urbana-Champaign
Robert M. Nishikawa
Robert M. Nishikawa University of Pittsburgh
Ling Shao
Ling Shao Terminus International
Michael W. Vannier
Michael W. Vannier University of Chicago
Charles E. Metz
Charles E. Metz University of Chicago
Heinrich M. Jaeger
Heinrich M. Jaeger University of Chicago
Jeffrey H. Siewerdsen
Jeffrey H. Siewerdsen The University of Texas MD Anderson Cancer Center
Søren Holdt Jensen
Søren Holdt Jensen University of Extremadura
Xingcheng Xiao
Xingcheng Xiao General Motors (United States)

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