Bryan He
Stanford University
51 Papers
258 Citations
Bryan He is an academic researcher from Stanford University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 14, co-authored 38 publications. Previous affiliations of Bryan He include California Institute of Technology.
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Papers
The Diversity-Innovation Paradox in Science
Bas Hofstra,Vivek Kulkarni,Sebastian Munoz-Najar Galvez,Bryan He,Dan Jurafsky,Daniel A. McFarland +5 more
TL;DR: This paper used text analysis and machine learning to answer a series of questions: How do we detect scientific innovations? Are underrepresented groups more likely to generate scientific innovations, and are the innovations of under-represented groups adopted and rewarded?
820
Video-based AI for beat-to-beat assessment of cardiac function.
David Ouyang,Bryan He,Amirata Ghorbani,Neal Yuan,Joseph E. Ebinger,Curtis P. Langlotz,Paul A. Heidenreich,Robert A. Harrington,David Liang,Euan A. Ashley,James Zou +10 more
TL;DR: A video-based deep learning algorithm that surpasses the performance of human experts in the critical tasks of segmenting the left ventricle, estimating ejection fraction and assessing cardiomyopathy is presented.
Deep learning interpretation of echocardiograms.
Amirata Ghorbani,David Ouyang,Abubakar Abid,Bryan He,Jonathan H. Chen,Robert A. Harrington,David Liang,Euan A. Ashley,James Zou +8 more
- 24 Jan 2020
TL;DR: Using convolutional neural networks on a large new dataset, deep learning applied to echocardiography can identify local cardiac structures, estimate cardiac function, and predict systemic phenotypes that modify cardiovascular risk but not readily identifiable to human interpretation.
Integrating spatial gene expression and breast tumour morphology via deep learning
Bryan He,Ludvig Bergenstråhle,Linnea Stenbeck,Abubakar Abid,Alma Andersson,Åke Borg,Jonas Maaskola,Joakim Lundeberg,James Zou +8 more
TL;DR: Over 100 genes, including known breast cancer biomarkers of intratumoral heterogeneity and the co-localization of tumour growth and immune activation are identified, the expression of which can be predicted from the histopathology images at a resolution of 100 µm.
383
Blinded, randomized trial of sonographer versus AI cardiac function assessment
Bryan He,Alan C. Kwan,Jae H Cho,Neal Yuan,Charles Pollick,Takahiro Shiota,Joseph E. Ebinger,Natalie A. Bello,Janet Wei,Kiranbir Josan,Grant Duffy,Melvin Jujjavarapu,Robert J. Siegel,S. Cheng,James Zou,David W. Ouyang +15 more
TL;DR: In this article , the authors designed a randomized non-inferiority clinical trial (ClinicalTrials.gov ID: NCT05140642; no outside funding) of AI versus sonographer initial assessment of left ventricular ejection fraction (LVEF).