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Bryan He
Bryan He
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
The diversity–innovation paradox in science
B Hofstra, VV Kulkarni, SMN Galvez, B He, D Jurafsky, DA McFarland
Proceedings of the National Academy of Sciences 117 (17), 9284-9291, 2020
3392020
Video-based AI for beat-to-beat assessment of cardiac function
D Ouyang, B He, A Ghorbani, N Yuan, J Ebinger, CP Langlotz, ...
Nature 580 (7802), 252-256, 2020
1832020
Deep learning interpretation of echocardiograms
A Ghorbani, D Ouyang, A Abid, B He, JH Chen, RA Harrington, DH Liang, ...
NPJ digital medicine 3 (1), 1-10, 2020
1432020
Learning the structure of generative models without labeled data
SH Bach, B He, A Ratner, C Ré
International Conference on Machine Learning (ICML), 2017
1242017
Integrating spatial gene expression and breast tumour morphology via deep learning
B He, L Bergenstrĺhle, L Stenbeck, A Abid, A Andersson, Ĺ Borg, ...
Nature biomedical engineering 4 (8), 827-834, 2020
952020
Accelerated stochastic power iteration
P Xu, B He, C De Sa, I Mitliagkas, C Re
International Conference on Artificial Intelligence and Statistics, 58-67, 2018
572018
Inferring generative model structure with static analysis
P Varma, BD He, P Bajaj, N Khandwala, I Banerjee, D Rubin, C Ré
Advances in neural information processing systems 30, 2017
412017
Socratic learning: Augmenting generative models to incorporate latent subsets in training data
P Varma, B He, D Iter, P Xu, R Yu, C De Sa, C Ré
arXiv preprint arXiv:1610.08123, 2016
34*2016
Scan order in Gibbs sampling: Models in which it matters and bounds on how much
BD He, CM De Sa, I Mitliagkas, C Ré
Advances in neural information processing systems 29, 2016
272016
Super-resolved spatial transcriptomics by deep data fusion
L Bergenstrĺhle, B He, J Bergenstrĺhle, X Abalo, R Mirzazadeh, K Thrane, ...
Nature biotechnology 40 (4), 476-479, 2022
242022
Dynamic analysis of naive adaptive brain-machine interfaces
KC Kowalski, BD He, L Srinivasan
Neural Computation 25 (9), 2373-2420, 2013
232013
A simple optimal binary representation of mosaic floorplans and Baxter permutations
BD He
Theoretical Computer Science 532, 40-50, 2014
14*2014
How to evaluate deep learning for cancer diagnostics–factors and recommendations
R Daneshjou, B He, D Ouyang, JY Zou
Biochimica et Biophysica Acta (BBA)-Reviews on Cancer 1875 (2), 188515, 2021
92021
Deep learning evaluation of biomarkers from echocardiogram videos
JW Hughes, N Yuan, B He, J Ouyang, J Ebinger, P Botting, J Lee, ...
EBioMedicine 73, 103613, 2021
8*2021
Signal quality of endovascular electroencephalography
BD He, M Ebrahimi, L Palafox, L Srinivasan
Journal of Neural Engineering 13 (1), 016016, 2016
82016
Generalized analog thresholding for spike acquisition at ultralow sampling rates
BD He, A Wein, LR Varshney, J Kusuma, AG Richardson, L Srinivasan
Journal of neurophysiology 114 (1), 746-760, 2015
52015
High-throughput precision phenotyping of left ventricular hypertrophy with cardiovascular deep learning
G Duffy, PP Cheng, N Yuan, B He, AC Kwan, MJ Shun-Shin, ...
JAMA cardiology 7 (4), 386-395, 2022
32022
Systematic Quantification of Sources of Variation in Ejection Fraction Calculation Using Deep Learning
N Yuan, I Jain, N Rattehalli, B He, C Pollick, D Liang, P Heidenreich, ...
Cardiovascular Imaging 14 (11), 2260-2262, 2021
22021
CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seq
B He, M Thomson, M Subramaniam, R Perez, CJ Ye, J Zou
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2022, 337-348, 2021
22021
Neural shaping with joint optimization of controller and plant under restricted dynamics
BD He, L Srinivasan
2014 Information Theory and Applications Workshop (ITA), 1-6, 2014
22014
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Articles 1–20