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Proceedings of the National Academy of Sciences of the United States of America
|
April 16, 2020
The Diversity-Innovation Paradox in Science
Bas Hofstra, Vivek V Kulkarni, Sebastian Munoz-Najar Galvez, et al.
Cell Reports Methods
|
May 2, 2022
AI-enabled <i>in silico</i> immunohistochemical characterization for Alzheimer's disease
Bryan He, Syed Bukhari, Edward Fox, et al.
Nature Biomedical Engineering
|
June 24, 2020
Integrating spatial gene expression and breast tumour morphology via deep learning
Bryan He, Ludvig Bergenstråhle, Linnea Stenbeck, et al.
Scientific Reports
|
January 3, 2024
Deep learning for transesophageal echocardiography view classification
Kirsten R Steffner, Matthew Christensen, George Gill, et al.
JACC. Cardiovascular Imaging
|
July 18, 2021
Systematic Quantification of Sources of Variation in Ejection Fraction Calculation Using Deep Learning
Neal Yuan, Ishan Jain, Neeraj Rattehalli, et al.
Nature
|
November 11, 2025
Comprehensive echocardiogram evaluation with view primed vision language AI
Milos Vukadinovic, I-Min Chiu, Xiu Tang, et al.
Medrxiv : the Preprint Server for Health Sciences
|
March 23, 2026
Automated Phenotyping of Mitral Stenosis Using Deep Learning
Hirotaka Ieki, Yuki Sahashi, Miloš Vukadinovic, et al.
NPJ Digital Medicine
|
January 30, 2020
Deep learning interpretation of echocardiograms
Amirata Ghorbani, David Ouyang, Abubakar Abid, et al.
Journal of the American College of Cardiology
|
September 7, 2025
Artificial Intelligence Automation of Echocardiographic Measurements
Yuki Sahashi, Hirotaka Ieki, Victoria Yuan, et al.
Medrxiv : the Preprint Server for Health Sciences
|
April 1, 2025
Artificial intelligence automation of echocardiographic measurements
Yuki Sahashi, Hirotaka Ieki, Victoria Yuan, et al.
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of 3
Search research articles
Search
Showing results (11-20 of 30) with videos related to
Sort By:
Page
of 3
Proceedings of the National Academy of Sciences of the United States of America
|
April 16, 2020
The Diversity-Innovation Paradox in Science
Bas Hofstra, Vivek V Kulkarni, Sebastian Munoz-Najar Galvez, et al.
Cell Reports Methods
|
May 2, 2022
AI-enabled <i>in silico</i> immunohistochemical characterization for Alzheimer's disease
Bryan He, Syed Bukhari, Edward Fox, et al.
Nature Biomedical Engineering
|
June 24, 2020
Integrating spatial gene expression and breast tumour morphology via deep learning
Bryan He, Ludvig Bergenstråhle, Linnea Stenbeck, et al.
Scientific Reports
|
January 3, 2024
Deep learning for transesophageal echocardiography view classification
Kirsten R Steffner, Matthew Christensen, George Gill, et al.
JACC. Cardiovascular Imaging
|
July 18, 2021
Systematic Quantification of Sources of Variation in Ejection Fraction Calculation Using Deep Learning
Neal Yuan, Ishan Jain, Neeraj Rattehalli, et al.
Nature
|
November 11, 2025
Comprehensive echocardiogram evaluation with view primed vision language AI
Milos Vukadinovic, I-Min Chiu, Xiu Tang, et al.
Medrxiv : the Preprint Server for Health Sciences
|
March 23, 2026
Automated Phenotyping of Mitral Stenosis Using Deep Learning
Hirotaka Ieki, Yuki Sahashi, Miloš Vukadinovic, et al.
NPJ Digital Medicine
|
January 30, 2020
Deep learning interpretation of echocardiograms
Amirata Ghorbani, David Ouyang, Abubakar Abid, et al.
Journal of the American College of Cardiology
|
September 7, 2025
Artificial Intelligence Automation of Echocardiographic Measurements
Yuki Sahashi, Hirotaka Ieki, Victoria Yuan, et al.
Medrxiv : the Preprint Server for Health Sciences
|
April 1, 2025
Artificial intelligence automation of echocardiographic measurements
Yuki Sahashi, Hirotaka Ieki, Victoria Yuan, et al.
Page
of 3