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Nicholas Bien
Researcher at Stanford University
Publications - 2
Citations - 407
Nicholas Bien is an academic researcher from Stanford University. The author has contributed to research in topics: ACL injury. The author has an hindex of 1, co-authored 2 publications receiving 216 citations.
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Journal ArticleDOI
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.
Nicholas Bien,Pranav Rajpurkar,Robyn L. Ball,Jeremy Irvin,Allison Park,Erik Jones,Michael Bereket,Bhavik N. Patel,Kristen W. Yeom,Katie Shpanskaya,Safwan Halabi,Evan J. Zucker,Gary S. Fanton,Derek F. Amanatullah,Christopher F. Beaulieu,Geoffrey M. Riley,Russell Stewart,Francis G. Blankenberg,David B. Larson,Ricky Jones,Curtis P. Langlotz,Andrew Y. Ng,Matthew P. Lungren +22 more
TL;DR: A deep learning model for detecting general abnormalities and specific diagnoses (anterior cruciate ligament [ACL] tears and meniscal tears) on knee MRI exams is developed and the assertion that deep learning models can improve the performance of clinical experts during medical imaging interpretation is supported.
Journal ArticleDOI
Pd60-05 automated detection of prostate cancer on multiparametric mri using deep neural networks trained on spatial coordinates and pathology of biopsy cores
Leo C Chen,Nicholas Bien,Richard E. Fan,Robin Cheong,Pranav Rajpurkar,Alan Thong,Nancy Wang,Sarir Ahmadi,Mirabela Rusu,James D. Brooks,Andrew Y. Ng,Geoffrey A. Sonn +11 more
TL;DR: A deep neural network model to predict prostate cancer on MRI that is trained on spatial coordinates and pathology of biopsy cores as ground truth is presented, which aims to eliminate the interobserver variability of radiologist interpretations and improve the detection of cancer in patients with false negative MRIs.