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Nathanael Romano
Nathanael Romano
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Automated echocardiographic quantification of left ventricular ejection fraction without volume measurements using a machine learning algorithm mimicking a human expert
FM Asch, N Poilvert, T Abraham, M Jankowski, J Cleve, M Adams, ...
Circulation: Cardiovascular Imaging 12 (9), e009303, 2019
1432019
Learning effective representations from clinical notes
S Dubois, N Romano, DC Kale, N Shah, K Jung
stat 1050, 15, 2017
312017
Video clip selector for medical imaging and diagnosis
C Cadieu, H Hong, K Koepsell, J Mathe, N Poilvert, M Cannon, ...
US Patent 10,806,402, 2020
162020
Accuracy and reproducibility of a novel artificial intelligence deep learning-based algorithm for automated calculation of ejection fraction in echocardiography
FM Asch, T Abraham, M Jankowski, J Cleve, M Adams, N Romano, ...
Journal of the American College of Cardiology 73 (9S1), 1447-1447, 2019
162019
The effectiveness of transfer learning in electronic health records data
S Dubois, N Romano, K Jung, N Shah, DC Kale
142017
Automated echo-cardiographic quantification of left ventricular ejection fraction without volume measurements using a machine learning algorithm mimicking a human expert. Circ …
FM Asch, N Poilvert, T Abraham, M Jankowski, J Cleve, M Adams, ...
Journal of the American Society of Echocardiography 33 (5), 0
10
Effective representations of clinical notes
S Dubois, N Romano, DC Kale, N Shah, K Jung
arXiv preprint arXiv:1705.07025, 2017
92017
Learning effective embeddings from medical notes
S Dubois, N Romano
arXiv preprint arXiv:1705.07025, 2017
72017
Deep learning algorithm for fully-automated left ventricular ejection fraction measurement
N Poilvert, H Hong, N Romano, D Adams, C Cadieu, RY Bae
J Am Soc Echocardiogr 31 (6), P2-45, 2018
42018
Distilling Knowledge to Specialist Networks for Clustered Classification
N Romano, R Schucker
32015
Confidence determination in a medical imaging video clip measurement based upon video clip image quality
C Cadieu, H Hong, K Koepsell, N Poilvert, MG Cannon, N Romano, ...
US Patent 10,726,548, 2020
22020
Video clip selector for medical imaging and diagnosis
C Cadieu, H Hong, K Koepsell, J Mathe, N Poilvert, M Cannon, ...
US Patent 11,497,451, 2022
12022
Video clip selector for medical imaging and diagnosis
C Cadieu, H Hong, K Koepsell, J Mathe, N Poilvert, M Cannon, ...
US Patent 11,166,678, 2021
12021
Video clip selector for medical imaging and diagnosis
C Cadieu, H Hong, K Koepsell, J Mathe, N Poilvert, M Cannon, ...
US Patent 11,160,510, 2021
12021
Video clip selector for medical imaging and diagnosis
C Cadieu, H Hong, K Koepsell, J Mathe, N Poilvert, M Cannon, ...
US Patent 10,631,791, 2020
12020
P4347 Automated echocardiographic quantification of left ventricular ejection fraction without volume measurements using a machine learning algorithm mimicking a human expert
FM Asch, N Poilvert, T Abraham, M Jankowski, J Cleve, M Adams, ...
European Heart Journal 40 (Supplement_1), ehz745. 0755, 2019
2019
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