Bryan He

Bryan He

Stanford University

H-index: 16

North America-United States

About Bryan He

Bryan He, With an exceptional h-index of 16 and a recent h-index of 14 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Machine learning, Optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep learning for transesophageal echocardiography view classification

SleepFM: Multi-modal Representation Learning for Sleep across ECG, EEG and Respiratory Signals

Electrocardiographic deep learning for predicting post-procedural mortality: a model development and validation study

ARTIFICIAL INTELLIGENCE FOR PRECISION RIGHT VENTRICULAR FUNCTION ASSESSMENT

Blinded, randomized trial of sonographer versus AI cardiac function assessment

AI-enabled assessment of cardiac function and video quality in emergency department point-of-care echocardiograms

Development and Deployment of Machine Learning in Medicine

Methods and systems using video-based machine learning for beat-to-beat assessment of cardiac function

Bryan He Information

University

Position

___

Citations(all)

2525

Citations(since 2020)

2409

Cited By

525

hIndex(all)

16

hIndex(since 2020)

14

i10Index(all)

19

i10Index(since 2020)

17

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Bryan He Skills & Research Interests

Machine learning

Optimization

Top articles of Bryan He

Title

Journal

Author(s)

Publication Date

Deep learning for transesophageal echocardiography view classification

Scientific Reports

Kirsten R Steffner

Matthew Christensen

George Gill

Michael Bowdish

Justin Rhee

...

2024/1/2

SleepFM: Multi-modal Representation Learning for Sleep across ECG, EEG and Respiratory Signals

RN

Rahul Thapa

Bryan He

Magnus Ruud Kjær

Gauri Ganjoo

Hyatt Moore

...

2024

Electrocardiographic deep learning for predicting post-procedural mortality: a model development and validation study

The Lancet Digital Health

David Ouyang

John Theurer

Nathan R Stein

J Weston Hughes

Pierre Elias

...

2024/1/1

ARTIFICIAL INTELLIGENCE FOR PRECISION RIGHT VENTRICULAR FUNCTION ASSESSMENT

Journal of the American College of Cardiology

Bryan He

Ádám Szijártó

Márton Tokodi

Susan Cheng

David Ouyang

...

2024/4/2

Blinded, randomized trial of sonographer versus AI cardiac function assessment

Nature

Bryan He

Alan C Kwan

Jae Hyung Cho

Neal Yuan

Charles Pollick

...

2023/4/5

AI-enabled assessment of cardiac function and video quality in emergency department point-of-care echocardiograms

The Journal of Emergency Medicine

Bryan He

Dev Dash

Youyou Duanmu

Ting Xu Tan

David Ouyang

...

2023/2/24

Development and Deployment of Machine Learning in Medicine

Bryan Dawei He

2023

Methods and systems using video-based machine learning for beat-to-beat assessment of cardiac function

2023/7/18

Video-based deep learning for automated assessment of left ventricular ejection fraction in pediatric patients

Journal of the American Society of Echocardiography

Charitha D Reddy

Leo Lopez

David Ouyang

James Y Zou

Bryan He

2023/5/1

High-throughput precision phenotyping of left ventricular hypertrophy with cardiovascular deep learning

JAMA cardiology

Grant Duffy

Paul P Cheng

Neal Yuan

Bryan He

Alan C Kwan

...

2022/2/23

CloudPred: Predicting patient phenotypes from single-cell RNA-seq

Bryan He

Matthew Thomson

Meena Subramaniam

Richard Perez

Chun Jimmie Ye

...

2021

Confounders mediate AI prediction of demographics in medical imaging

npj Digital Medicine

Grant Duffy

Shoa L Clarke

Matthew Christensen

Bryan He

Neal Yuan

...

2022/12/22

AI-enabled in silico immunohistochemical characterization for Alzheimer's disease

Cell reports methods

Bryan He

Syed Bukhari

Edward Fox

Abubakar Abid

Jeanne Shen

...

2022/4/25

107 Real-Time Computer Vision TTE Analytics using Existing Ultrasound Workflows

Annals of Emergency Medicine

D Dash

B He

I Brown

J Zou

2021/10/1

How to evaluate deep learning for cancer diagnostics–factors and recommendations

Biochimica et Biophysica Acta (BBA) - Reviews on Cancer

Roxana Daneshjou

Bryan He

David Ouyang

James Y Zou

2021/1/26

Interpretable deep learning prediction of 3d assessment of cardiac function

Grant Duffy

Ishan Jain

Bryan He

David Ouyang

2021

Super-resolved spatial transcriptomics by deep data fusion

Nature biotechnology

Ludvig Bergenstråhle

Bryan He

Joseph Bergenstråhle

Xesús Abalo

Reza Mirzazadeh

...

2022/4

Deep learning for biomedical videos: perspective and recommendations

David Ouyang

Zhenqin Wu

Bryan He

James Zou

2021/1/1

Systematic quantification of sources of variation in ejection fraction calculation using deep learning

Cardiovascular Imaging

Neal Yuan

Ishan Jain

Neeraj Rattehalli

Bryan He

Charles Pollick

...

2021/11/1

Deep learning evaluation of biomarkers from echocardiogram videos

EBioMedicine

J Weston Hughes

Neal Yuan

Bryan He

Jiahong Ouyang

Joseph Ebinger

...

2021/11/1

See List of Professors in Bryan He University(Stanford University)