World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5570
World Ranking
10793
National Ranking
4494

Research.com Recognitions

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

Overview

Rebecca Fahrig is affiliated with Siemens Healthcare in the United States. Their research primarily focuses on the fields of Medicine, Engineering, and Computer Science, with a significant emphasis on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, and Computer Vision and Pattern Recognition.

The scientist's work covers a range of topics related to medical imaging, including Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging, Radiation Dose and Imaging, Advanced Radiotherapy Techniques, Radiomics and Machine Learning in Medical Imaging, Medical Image Segmentation Techniques, and Digital Radiography and Breast Imaging.

Frequent publication venues for Fahrig include arXiv (Cornell University), Medical Physics, Journal of Medical Imaging, Physics in Medicine and Biology, and Pattern Recognition. The researcher has contributed multiple papers to these journals, reflecting a consistent focus on imaging technology and computational methods in medicine.

Notable recent papers authored or co-authored by Fahrig include:

  • Flat-panel conebeam CT in the clinic: history and current state, 2021, Journal of Medical Imaging
  • Monocular multi-person pose estimation: A survey, 2021, Pattern Recognition
  • Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images, 2021, Scientific Reports
  • A multi-sensor architecture combining human pose estimation and real-time location systems for workflow monitoring on hybrid operating suites, 2022, Future Generation Computer Systems
  • Baptizo: A sensor fusion based model for tracking the identity of human poses, 2020, Information Fusion

Frequent collaborators in Fahrig's research include Andreas Maier, Norbert Strobel, Annette Birkhold, Markus Kowarschik, and Philipp Roser, indicating active engagement in collaborative projects within the imaging and biomedical engineering communities.

Rebecca Fahrig was recognized as a Fellow of the Indian National Academy of Engineering (INAE) in 2016, marking a formal acknowledgment of contributions to the field.

Best Publications

  • Scatter Correction Method for X-Ray CT Using Primary Modulation: Theory and Preliminary Results

    Lei Zhu;N.R. Bennett;R. Fahrig

  • Deconvolution-based CT and MR brain perfusion measurement: theoretical model revisited and practical implementation details

    Andreas Fieselmann;Markus Kowarschik;Arundhuti Ganguly;Joachim Hornegger

  • Dose and image quality for a cone-beam C-arm CT system.

    Rebecca Fahrig;Robert Dixon;Thomas Payne;Richard L. Morin

  • Three‐dimensional computed tomographic reconstruction using a C‐arm mounted XRII: Correction of image intensifier distortion

    R. Fahrig;M. Moreau;D. W. Holdsworth

  • Three-dimensional computed tomographic reconstruction using a C-arm mounted XRII: Image-based correction of gantry motion nonidealities

    R. Fahrig;D. W. Holdsworth;D. W. Holdsworth

  • Towards cardiac C-arm computed tomography

    G. Lauritsch;J. Boese;L. Wigstrom;H. Kemeth

  • CONRAD—A software framework for cone-beam imaging in radiology

    Andreas Maier;Hannes G. Hofmann;Martin Berger;Peter Fischer

  • Optimization of spectral shape in digital mammography: Dependence on anode material, breast thickness, and lesion type

    Rebecca Fahrig;Martin J. Yaffe;Martin J. Yaffe

  • A truly hybrid interventional MR/X-ray system: feasibility demonstration.

    Rebecca Fahrig;Kim Butts;John A. Rowlands;Rowland Saunders

  • Computed tomography with increased field of view

    Norbert J. Pelc;Rebecca Fahrig;Edward G. Solomon

  • An inverse-geometry volumetric CT system with a large-area scanned source: a feasibility study.

    Taly Gilat Schmidt;Rebecca Fahrig;Norbert J. Pelc;Edward G. Solomon

  • Filtered backprojection for modifying the impulse response of circular tomosynthesis.

    Grant M. Stevens;Rebecca Fahrig;Norbert J. Pelc

  • Scatter correction method for x-ray CT using primary modulation: Phantom studies

    Hewei Gao;Rebecca Fahrig;N. Robert Bennett;Mingshan Sun

  • X-ray scatter correction for cone-beam CT using moving blocker array

    Lei Zhu;Norbert Strobel;Norbert Strobel;Rebecca Fahrig

  • X-ray imaging with amorphous selenium: detective quantum efficiency of photoconductive receptors for digital mammography.

    Rebecca Fahrig;Rebecca Fahrig;J. A. Rowlands;J. A. Rowlands;Martin J. Yaffe;Martin J. Yaffe

  • Dynamic geometrical calibration for 3D cerebral angiography

    Nassir Navab;Ali R. Bani-Hashemi;Matthias M. Mitschke;David W. Holdsworth

  • Cerebral CT Perfusion Using an Interventional C-Arm Imaging System: Cerebral Blood Flow Measurements

    A. Ganguly;A. Fieselmann;M. Marks;J. Rosenberg

  • Cardiac C-Arm CT: A Unified Framework for Motion Estimation and Dynamic CT

    M. Prummer;J. Hornegger;G. Lauritsch;L. Wigstrom

  • A prototype table-top inverse-geometry volumetric CT system

    Taly Gilat Schmidt;Josh Star-Lack;N. Robert Bennett;Samuel R. Mazin

  • Marker-free motion correction in weight-bearing cone-beam CT of the knee joint

    M. Berger;K. Müller;A. Aichert;M. Unberath

  • A model for optimization of spectral shape in digital mammography.

    Rebecca Fahrig;Rebecca Fahrig;Martin J. Yaffe;Martin J. Yaffe

Frequent Co-Authors

Andreas Maier
Andreas Maier University of Erlangen-Nuremberg
Joachim Hornegger
Joachim Hornegger University of Erlangen-Nuremberg
Norbert J. Pelc
Norbert J. Pelc Stanford University
Lei Xing
Lei Xing Stanford University
John A. Rowlands
John A. Rowlands Sunnybrook Health Science Centre
Jeffrey H. Siewerdsen
Jeffrey H. Siewerdsen The University of Texas MD Anderson Cancer Center
John M. Pauly
John M. Pauly Stanford University
Yefeng Zheng
Yefeng Zheng Tencent (China)
James Z. Wang
James Z. Wang Pennsylvania State University

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