Author

Jeffrey W. Hoffmeister

Observed names: Hoffmeister, Jeffrey, Hoffmeister, Jeffrey W, Hoffmeister, Jeffrey W., J. W. Hoffmeister, J.W. Hoffmeister, Jeffrey Hoffmeister

Observed institutions: Broad Institute, University of Pittsburgh, Washington University in St. Louis, Jefferson Einstein Philadelphia Hospital, Armstrong Laboratory, U.S. Air Force Materiel Command, U.S. Air Force Institute of Technology, University of Pennsylvania

ORCID: 0000-0002-8203-6589

Observed ORCID: 0000-0002-8203-6589

OpenAlex ID: A5009727720

Improving Accuracy and Efficiency with Concurrent Use of Artificial Intelligence for Digital Breast Tomosynthesis

2019 · Emily F. Conant, Alicia Y. Toledano, et al. · Radiology Artificial Intelligence · 243

Computer-aided breast cancer detection and diagnosis of masses using difference of Gaussians and derivative-based feature saliency

1997 · W.E. Polakowski, D.A. Cournoyer, et al. · IEEE Transactions on Medical Imaging · 167

Effect of Computer-aided Detection for CT Colonography in a Multireader, Multicase Trial

2010 · Abraham H. Dachman, Nancy A. Obuchowski, et al. · Radiology · 95

Impact of Breast Density on Computer-Aided Detection for Breast Cancer

2005 · Rachel F. Brem, Jeffrey W. Hoffmeister, et al. · American Journal of Roentgenology · 87

Evaluation of breast cancer with a computer‐aided detection system by mammographic appearance and histopathology

2005 · Rachel F. Brem, Jocelyn A. Rapelyea, et al. · Cancer · 63

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A Computer-Aided Detection System for the Evaluation of Breast Cancer by Mammographic Appearance and Lesion Size

2005 · Rachel F. Brem, Jeffrey W. Hoffmeister, et al. · American Journal of Roentgenology · 58

Using neural networks to select wavelet features for breast cancer diagnosis

1996 · C.M. Kocur, S.K. Rogers, et al. · IEEE Engineering in Medicine and Biology Magazine · 49

Detection of Breast Cancer with Full-Field Digital Mammography and Computer-Aided Detection

2009 · Juliette S. The, Kathy J. Schilling, et al. · American Journal of Roentgenology · 47

Detection of soft tissue densities from digital breast tomosynthesis: comparison of conventional and deep learning approaches

2016 · Sergei V. Fotin, Yin Yin, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 41

Biomechanics of the arterial wall under simulated flow conditions

1988 · Arthur M. Brant, Sanjay S. Shah, et al. · Journal of Biomechanics · 30

Quality assurance and training procedures for computer‐aided detection and diagnosis systems in clinical usea)

2013 · Zhimin Huo, Ronald M. Summers, et al. · Medical Physics · 25

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Use of Artificial Intelligence for Digital Breast Tomosynthesis Screening: A Preliminary Real-world Experience

2023 · Haley Letter, Meridith Peratikos, et al. · Journal of Breast Imaging · 19

Computer-Aided Detection and Diagnosis of Breast Cancer

2006 · Michael J. Collins, Jeffrey Hoffmeister, et al. · Seminars in Ultrasound CT and MRI · 17

Computer-aided detection system applied to full-field digital mammograms

2010 · Alfonso Vega Bolivar, Sonia Sánchez Gomez, et al. · Acta Radiologica · 15

Three-dimensional surface reconstructions using a general purpose image processing system

1990 · Jeffrey W. Hoffmeister, Gregory C. Rinehart, et al. · Computerized Medical Imaging and Graphics · 13

Improved Breast Cancer Detection with Artificial Intelligence in a Real-World Digital Breast Tomosynthesis Screening Program

2025 · Joshua A. Nepute, Meridith Peratikos, et al. · Clinical Breast Cancer · 10

Automated global matching of temporal thoracic helical CT studies: feasibility study

2003 · M.N. Gurcan, R.C. Hardie, et al. · International Congress Series · 10

Determining Efficacy of Mammographic CAD Systems

2002 · Jeffrey W. Hoffmeister, Steven K. Rogers, et al. · Journal of Imaging Informatics in Medicine · 10

Evaluating the Impact of Changes in Artificial Intelligence–derived Case Scores over Time on Digital Breast Tomosynthesis Screening Outcomes

2025 · Samantha P. Zuckerman, Senthil Periaswamy, et al. · Radiology Artificial Intelligence · 3

Workflow improvements for digital breast tomosynthesis: computerized generation of enhanced synthetic images

2016 · Sergei V. Fotin, Yin Yin, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 3

Wavelet detection of clustered microcalcifications

1996 · Donald A. McCandless, Steven K. Rogers, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 3

Transferring Learned Microcalcification Group Detection from 2D Mammography to 3D Digital Breast Tomosynthesis Using a Hierarchical Model and Scope-based Normalization Features

2016 · Yin, Yin, Fotin, Sergei V., et al. · arXiv (Cornell University) · 2

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Neural network feature selection for breast cancer diagnosis

1995 · Catherine M. Kocur, Steven K. Rogers, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2

Does concurrent reading with AI lead to more false negative errors for cancers that are not marked by AI?

2025 · Robert M. Nishikawa, Jeffrey W. Hoffmeister, et al. · SPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment · 1

Can automation bias exert a positive bias when radiologists read screening mammography concurrently with artificial intelligence?

2026 · Robert M. Nishikawa, Jeffrey W. Hoffmeister, et al. · SPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Works count: 39

Citation count: 1,014

H-index: 14

I10-index: 18