C
Clifford Yang
Researcher at University of Connecticut Health Center
Publications - 23
Citations - 598
Clifford Yang is an academic researcher from University of Connecticut Health Center. The author has contributed to research in topics: Deep learning & Mammography. The author has an hindex of 8, co-authored 21 publications receiving 363 citations. Previous affiliations of Clifford Yang include University of Connecticut.
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Journal ArticleDOI
Deep convolutional neural networks for mammography: advances, challenges and applications
TL;DR: This survey conducted a detailed review of the strengths, limitations, and performance of the most recent CNNs applications in analyzing MG images and lists the best practices that improve the performance of CNNs including the pre-processing of images and the use of multi-view images.
Journal Article
Doxorubicin-induced cardiomyopathy 17 years after chemotherapy.
TL;DR: The case of an active, otherwise healthy 57-year-old breast cancer survivor who, 17 years after chemotherapy, presented with symptoms of overt heart failure, and was asymptomatic after 1 year of tapered medical therapy, raises questions about the pathogenesis and prevalence of late doxorubicin-induced cardiomyopathy.
Journal ArticleDOI
Posterolateral Corner Reconstruction of the Knee: Evaluation of a Technique With Clinical Outcomes and Stress Radiography
TL;DR: This reconstruction of the posterolateral corner of the knee with concomitant cruciate ligament reconstruction restores varus and rotational stability at a minimum of 2 years postoperatively.
Proceedings ArticleDOI
Breast cancer screening using convolutional neural network and follow-up digital mammography
TL;DR: The performance of the proposed CAD method for breast cancer screening using convolutional neural network (CNN) and follow-up scans is very promising, considering the early-stage cancerous status (1-year ago was normal).
Journal ArticleDOI
Central Core Laboratory versus Site Interpretation of Coronary CT Angiography: Agreement and Association with Cardiovascular Events in the PROMISE Trial
Michael T. Lu,Nandini M. Meyersohn,Thomas Mayrhofer,Daniel O. Bittner,Hamed Emami,Stefan Puchner,Borek Foldyna,Martin E. Mueller,Steven Hearne,Clifford Yang,Stephan Achenbach,Quynh A. Truong,Brian B. Ghoshhajra,Manesh R. Patel,Maros Ferencik,Pamela S. Douglas,Udo Hoffmann +16 more
TL;DR: Assessment of concordance and relative prognostic utility between central core laboratory and local site interpretation for significant coronary artery disease (CAD) and cardiovascular events and resulted in 41% fewer patients being reported as having significant CAD.