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Andrew Y Ng

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

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IEEE Transactions on Pattern Analysis and Machine Intelligence|March 21, 2009
Make3D: learning 3D scene structure from a single still imageAshutosh Saxena, Min Sun, Andrew Y Ng
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 31, 2023
VetLLM: Large Language Model for Predicting Diagnosis from Veterinary NotesYixing Jiang, Jeremy A Irvin, Andrew Y Ng, et al.
Circulation. Cardiovascular Quality and Outcomes|March 13, 2019
Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure TherapyTony Duan, Pranav Rajpurkar, Dillon Laird, et al.
Patterns (New York, N.Y.)|January 26, 2022
Contrastive learning of heart and lung sounds for label-efficient diagnosisPratham N Soni, Siyu Shi, Pranav R Sriram, et al.
Nature Biomedical Engineering|September 15, 2022
Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learningEkin Tiu, Ellie Talius, Pujan Patel, et al.
Journal of the American Medical Informatics Association : JAMIA|August 22, 2022
Transfer learning enables prediction of myocardial injury from continuous single-lead electrocardiographyBoyang Tom Jin, Raj Palleti, Siyu Shi, et al.
Nature Medicine|January 26, 2019
Publisher Correction: Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural networkAwni Y Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, et al.
Advances in Neural Information Processing Systems|May 6, 2026
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC HistopathologyBarathi Subramanian, Rathinaraja Jeyaraj, Mitchell Nevin Peterson, et al.
Nature Medicine|January 9, 2019
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural networkAwni Y Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, et al.
Arxiv|April 9, 2026
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC HistopathologyBarathi Subramanian, Rathinaraja Jeyaraj, Mitchell Nevin Peterson, et al.
Pageof 3

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

Sort By:
Pageof 3
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 21, 2009
Make3D: learning 3D scene structure from a single still imageAshutosh Saxena, Min Sun, Andrew Y Ng
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 31, 2023
VetLLM: Large Language Model for Predicting Diagnosis from Veterinary NotesYixing Jiang, Jeremy A Irvin, Andrew Y Ng, et al.
Circulation. Cardiovascular Quality and Outcomes|March 13, 2019
Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure TherapyTony Duan, Pranav Rajpurkar, Dillon Laird, et al.
Patterns (New York, N.Y.)|January 26, 2022
Contrastive learning of heart and lung sounds for label-efficient diagnosisPratham N Soni, Siyu Shi, Pranav R Sriram, et al.
Nature Biomedical Engineering|September 15, 2022
Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learningEkin Tiu, Ellie Talius, Pujan Patel, et al.
Journal of the American Medical Informatics Association : JAMIA|August 22, 2022
Transfer learning enables prediction of myocardial injury from continuous single-lead electrocardiographyBoyang Tom Jin, Raj Palleti, Siyu Shi, et al.
Nature Medicine|January 26, 2019
Publisher Correction: Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural networkAwni Y Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, et al.
Advances in Neural Information Processing Systems|May 6, 2026
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC HistopathologyBarathi Subramanian, Rathinaraja Jeyaraj, Mitchell Nevin Peterson, et al.
Nature Medicine|January 9, 2019
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural networkAwni Y Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, et al.
Arxiv|April 9, 2026
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC HistopathologyBarathi Subramanian, Rathinaraja Jeyaraj, Mitchell Nevin Peterson, et al.
Pageof 3