Matthew T. Freedman

University of Virginia Health System — United States

Computer Science · Physical Sciences

31h-index4.1kcitations259works0.02yr avg
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Research Topics

AI in cancer detection(84), Digital Radiography and Breast Imaging(50), Radiomics and Machine Learning in Medical Imaging(50), Medical Imaging Techniques and Applications(36), Medical Image Segmentation Techniques(34)

Publications258 total

Arterial Stenosis From Sarcoidosis-Associated Adenopathy and Fibrosing Mediastinitis Leading to Pulmonary Infarction
CHEST Journal·2026Open Access
Characteristics and Outcomes of Patients Requiring Repeat Intensive Care Unit Consults
Mayo Clinic Proceedings Innovations Quality & Outcomes·2023Open Access
Patients Who Decompensate and Trigger Rapid Response Immediately Upon Hospital Admission Have Higher Mortality Than Equivalent Patients Without Rapid Responses
Journal of Patient Safety·2023· 1 cited
Metastasis of Renal Cell Carcinoma to the Lung 22 Years After Nephrectomy
2020
Geared Rotationally Identical and Invariant Convolutional Neural Network Systems
arXiv (Cornell University)·2018· 2 citedOpen Access
Transformationally Identical and Invariant Convolutional Neural Networks by Combining Symmetric Operations or Input Vectors
arXiv (Cornell University)·2018· 2 citedOpen Access
Transformationally Identical and Invariant Convolutional Neural Networks through Symmetric Element Operators
arXiv (Cornell University)·2018· 1 citedOpen Access
JOURNAL CLUB: Computer-Aided Detection of Lung Nodules on CT With a Computerized Pulmonary Vessel Suppressed Function
American Journal of Roentgenology·2018· 76 cited
Factors Associated With Small Aggressive Non–Small Cell Lung Cancers in the National Lung Screening Trial: A Validation Study
JNCI Cancer Spectrum·2018· 10 citedOpen Access
Germline BRCA2 Mutations in Men With Prostate Cancer Assort into Functional Cluster Regions
International Journal of Radiation Oncology*Biology*Physics·2017
Comment on “Maximum-Intensity-Projection and Computer-Aided-Detection Algorithms as Stand-Alone Reader Devices in Lung Cancer Screening Using Different Dose Levels and Reconstruction Kernels”
American Journal of Roentgenology·2016· 2 cited
ARTICLES Serendipity in Diagnostic Imaging: Magnetic Resonance Imaging of the Breast
2015
Evaluation of computer-aided detection and diagnosis systems<sup>a)</sup>
Medical Physics·2013· 139 citedOpen Access
Quality assurance and training procedures for computer‐aided detection and diagnosis systems in clinical use<sup>a)</sup>
Medical Physics·2013· 25 citedOpen Access
Image reconstruction of arc cone-beam CT with reprojection: a preliminary study
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2013· 1 cited
Changes of nodule detection after radiologists read bone opacity suppressed chest radiography
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2012· 2 cited
Post-traumatic osteochondroma
SpringerReference·2011· 3 cited
Lung Nodules: Improved Detection with Software That Suppresses the Rib and Clavicle on Chest Radiographs
Radiology·2011· 98 cited
BI-RADS guided mammographic mass retrieval
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2011· 8 cited
A superior chest x-ray computer-aided detection (CXR CAD) application: a reader study
European Society of Radiology·2011Open Access
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Frequent Co-authors

Seong K. Mun(16), Shih‐Chung B. Lo(10), S.-C.B. Lo(6), Jyh-Shyan Lin(6), Heang‐Ping Chan(4), Martin M. Oken(4), Huai Li(3), Paul F. Pinsky(3), Philip C. Prorok(3), Paul A. Kvale(3), Nicholas Petrick(3), Berkman Sahiner(3), Akira Hasegawa(3), Kevin Cleary(3), Jianhua Xuan(3), John K. Gohagan(2), Susan M. Ascher(2), Timothy R. Church(2), William G. Hocking(2), Samuel G. Armato(2)