G
Gopal R. Vijayaraghavan
Researcher at University of Massachusetts Medical School
Publications - 26
Citations - 662
Gopal R. Vijayaraghavan is an academic researcher from University of Massachusetts Medical School. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 9, co-authored 21 publications receiving 347 citations. Previous affiliations of Gopal R. Vijayaraghavan include Beth Israel Deaconess Medical Center & University of Massachusetts Amherst.
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Journal ArticleDOI
Digital Breast Tomosynthesis: State of the Art.
TL;DR: The observations of increase in cancer detection rates, particularly for invasive cancers, and the reduction in false-positive rates with DBT in prospective trials indicate its benefit for breast cancer screening.
Journal ArticleDOI
Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach.
William Lotter,Abdul Rahman Diab,Bryan Haslam,Jiye G. Kim,Giorgia Grisot,Eric Wu,Kevin Wu,Jorge Onieva Onieva,Yun Boyer,Jerrold L. Boxerman,Jerrold L. Boxerman,Meiyun Wang,Mack Bandler,Gopal R. Vijayaraghavan,A. Gregory Sorensen +14 more
TL;DR: In this article, an annotation-efficient deep learning approach was proposed for mammogram classification, which achieved state-of-the-art performance on 2D and 3D mammograms.
Posted Content
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach
William Lotter,Abdul Rahman Diab,Bryan Haslam,Jiye G. Kim,Giorgia Grisot,Eric Wu,Kevin Wu,Jorge Onieva Onieva,Jerrold L. Boxerman,Meiyun Wang,Mack Bandler,Gopal R. Vijayaraghavan,A. Gregory Sorensen +12 more
TL;DR: An annotation-efficient deep learning approach that achieves state-of-the-art performance in mammogram classification, successfully extends to digital breast tomosynthesis (DBT; '3D mammography'), and detects cancers in clinically negative prior mammograms of patients with cancer is presented.
Journal ArticleDOI
COVID-19 Vaccination-Related Uptake on FDG PET/CT: An Emerging Dilemma and Suggestions for Management.
TL;DR: In this article, the authors present an institutional approach for management of COVID-19 vaccine-related lymphadenopathy on FDG PET/CT according to early experience, and suggest that patients with cancer undergo CT at least 2 weeks after vaccination in patients with a cancer.
Journal ArticleDOI
Imaging-guided Parenchymal Liver Biopsy: How We Do It.
TL;DR: The algorithm followed at this institution for performing percutaneous US-guided parenchymal liver biopsy is described, and a total of 20 liver biopsies should be adequate training.