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Bryan He

Showing results (1-10 of 30) with videos related to

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
Interpretable deep learning prediction of 3d assessment of cardiac functionGrant Duffy, Ishan Jain, Bryan He, et al.
Advances in Neural Information Processing Systems|March 28, 2017
Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How MuchBryan He, Christopher De Sa, Ioannis Mitliagkas, et al.
Biochimica Et Biophysica Acta. Reviews on Cancer|January 29, 2021
How to evaluate deep learning for cancer diagnostics - factors and recommendationsRoxana Daneshjou, Bryan He, David Ouyang, et al.
Proceedings of Machine Learning Research|March 19, 2019
Learning the Structure of Generative Models without Labeled DataStephen H Bach, Bryan He, Alexander Ratner, et al.
Proceedings of Machine Learning Research|June 13, 2019
Accelerated Stochastic Power IterationChristopher De Sa, Bryan He, Ioannis Mitliagkas, et al.
Journal of the American Society of Echocardiography : Official Publication of the American Society of Echocardiography|February 8, 2023
Video-Based Deep Learning for Automated Assessment of Left Ventricular Ejection Fraction in Pediatric PatientsCharitha D Reddy, Leo Lopez, David Ouyang, et al.
The Journal of Emergency Medicine|February 18, 2024
AI-ENABLED ASSESSMENT OF CARDIAC FUNCTION AND VIDEO QUALITY IN EMERGENCY DEPARTMENT POINT-OF-CARE ECHOCARDIOGRAMSBryan He, Dev Dash, Youyou Duanmu, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seqBryan He, Matthew Thomson, Meena Subramaniam, et al.
NPJ Digital Medicine|December 22, 2022
Confounders mediate AI prediction of demographics in medical imagingGrant Duffy, Shoa L Clarke, Matthew Christensen, et al.
Advances in Neural Information Processing Systems|February 3, 2018
Inferring Generative Model Structure with Static AnalysisParoma Varma, Bryan He, Payal Bajaj, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
Interpretable deep learning prediction of 3d assessment of cardiac functionGrant Duffy, Ishan Jain, Bryan He, et al.
Advances in Neural Information Processing Systems|March 28, 2017
Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How MuchBryan He, Christopher De Sa, Ioannis Mitliagkas, et al.
Biochimica Et Biophysica Acta. Reviews on Cancer|January 29, 2021
How to evaluate deep learning for cancer diagnostics - factors and recommendationsRoxana Daneshjou, Bryan He, David Ouyang, et al.
Proceedings of Machine Learning Research|March 19, 2019
Learning the Structure of Generative Models without Labeled DataStephen H Bach, Bryan He, Alexander Ratner, et al.
Proceedings of Machine Learning Research|June 13, 2019
Accelerated Stochastic Power IterationChristopher De Sa, Bryan He, Ioannis Mitliagkas, et al.
Journal of the American Society of Echocardiography : Official Publication of the American Society of Echocardiography|February 8, 2023
Video-Based Deep Learning for Automated Assessment of Left Ventricular Ejection Fraction in Pediatric PatientsCharitha D Reddy, Leo Lopez, David Ouyang, et al.
The Journal of Emergency Medicine|February 18, 2024
AI-ENABLED ASSESSMENT OF CARDIAC FUNCTION AND VIDEO QUALITY IN EMERGENCY DEPARTMENT POINT-OF-CARE ECHOCARDIOGRAMSBryan He, Dev Dash, Youyou Duanmu, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 10, 2021
CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seqBryan He, Matthew Thomson, Meena Subramaniam, et al.
NPJ Digital Medicine|December 22, 2022
Confounders mediate AI prediction of demographics in medical imagingGrant Duffy, Shoa L Clarke, Matthew Christensen, et al.
Advances in Neural Information Processing Systems|February 3, 2018
Inferring Generative Model Structure with Static AnalysisParoma Varma, Bryan He, Payal Bajaj, et al.
Pageof 3