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
2222020
Learning the structure of generative models without labeled data
SH Bach, B He, A Ratner, C Ré
International Conference on Machine Learning (ICML), 2017
1052017
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
1022020
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
922020
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
552020
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
512018
Inferring generative model structure with static analysis
P Varma, B He, P Bajaj, I Banerjee, N Khandwala, DL Rubin, C Ré
Advances in neural information processing systems 30, 239, 2017
352017
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
31*2016
Dynamic analysis of naive adaptive brain-machine interfaces
KC Kowalski, BD He, L Srinivasan
Neural Computation 25 (9), 2373-2420, 2013
242013
Scan order in Gibbs sampling: Models in which it matters and bounds on how much
B He, C De Sa, I Mitliagkas, C Ré
Advances in neural information processing systems 29, 2016
212016
A simple optimal binary representation of mosaic floorplans and Baxter permutations
BD He
Theoretical Computer Science 532, 40-50, 2014
13*2014
Super-resolved spatial transcriptomics by deep data fusion
L Bergenstrĺhle, B He, J Bergenstrĺhle, A Andersson, J Lundeberg, J Zou, ...
bioRxiv, 2020
92020
Signal quality of endovascular electroencephalography
BD He, M Ebrahimi, L Palafox, L Srinivasan
Journal of neural engineering 13 (1), 016016, 2016
72016
How to evaluate deep learning for cancer diagnostics–factors and recommendations
R Daneshjou, B He, D Ouyang, J Zou
Biochimica et Biophysica Acta (BBA)-Reviews on Cancer, 188515, 2021
52021
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
Deep Learning Prediction of Biomarkers from Echocardiogram Videos
JW Hughes, N Yuan, B He, J Ouyang, J Ebinger, P Botting, J Lee, ...
medRxiv, 2021
42021
Echonet-dynamic: a large new cardiac motion video data resource for medical machine learning
D Ouyang, B He, A Ghorbani, MP Lungren, EA Ashley, DH Liang, JY Zou
22019
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
Smooth interactive submodular set cover
B He, Y Yue
Nueral Information Processing Systems, 2015
12015
Feasibility of FRI-Based Square-Wave Reconstruction with Quantization Error and Integrator Noise
B He, A Wein, L Srinivasan
ICASSP, 2015
12015
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Articles 1–20