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Yannet Interian

University of San Francisco

11H-index
44Paper Count
624Citation Count
Published Papers 10
Publication Date
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Leveraging dynamic prompting for outcome prediction of cancer patients using large language models and electronic health record notes
errnpj Digital Medicine
IF15.1
err2026-09-22
err0
errOAAI
errShreyas Anil; Bhumika Srinivas; Bo Liu; Anyi Li; Yannet Interian; William C. Chen; Nicolas D. Prionas; Julian C. Hong; Steve E. Braunstein; Olivier Morin; Hui Lin
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Predicting categorical and continuous Alzheimer’s disease outcomes from a single MRI scan
errNature Aging
IF19.4
err2026-05-18
err0
errOAAI
errDaren Ma; Christabelle Pabalan; Abhejit Rajagopal; Akanksha Akanksha; Yannet Interian; Yang Yang; Ashish Raj
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Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging
errNEURO-ONCOLOGY
IF13.4
err2021-10-15
err33
errOAAI
errCluceru, Julia; Interian, Yannet; Phillips, Joanna J.; Molinaro, Annette M.; Luks, Tracy L.; Alcaide-Leon, Paula; Olson, Marram P.; Nair, Devika; LaFontaine, Marisa; Shai, Anny; Chunduru, Pranathi; Pedoia, Valentina; Villanueva-Meyer, Javier E.; Chang, Susan M.; Lupo, Janine M.
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errSave
The Physiological Deep Learner: First application of multitask deep learning to predict hypotension in critically ill patients
errARTIFICIAL INTELLIGENCE IN MEDICINE
IF6.2
err2021-08-01
err2
errOAAI
errCherifa, Menyssa; Interian, Yannet; Blet, Alice; Resche-Rigon, Matthieu; Pirracchio, Romain
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errSave
Expert-augmented machine learning
errPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
IF9.1
err2020-02-18
err70
errOAAI
errGennatas, Efstathios D.; Friedman, Jerome H.; Ungar, Lyle H.; Pirracchio, Romain; Eaton, Eric; Reichmann, Lara G.; Interian, Yannet; Luna, Jose Marcio; Simone, Charles B., II; Auerbach, Andrew; Delgado, Elier; van der Laan, Mark J.; Solberg, Timothy D.; Valdes, Gilmer
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Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis In Regard to Valdes et al Reply
errINTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
IF6.5
err2018-12-01
err0
PREAI
errValdes, Gilmer; Chang, Albert J.; Cunnan, Adam; Solberg, Timothy D.; Hsu, I-Chow; Interian, Yannet; Owen, Kenton; Jensen, Shane T.; Ungar, Lyle H.
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errSave
Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis
errINTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
IF6.5
err2018-07-01
err18
PREAI
errValdes, Gilmer; Chang, Albert J.; Interian, Yannet; Owen, Kenton; Jensen, Shane T.; Ungar, Lyle H.; Cunha, Adam; Solberg, Timothy D.; Hsu, I-Chow
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errSave
Deep nets vs expert designed features in medical physics: An IMRT QA case study
errMEDICAL PHYSICS
IF3.2
err2018-04-18
err98
PREAI
errInterian, Yannet; Rideout, Vincent; Kearney, Vasant P.; Gennatas, Efstathios; Morin, Olivier; Cheung, Joey; Solberg, Timothy; Valdes, Gilmer
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errSave
Deep Neural Networks vs Medical Physicists: An IMRT QA case study
errRADIOTHERAPY AND ONCOLOGY
IF5.3
err2018-04-01
err0
errOAAI
errInterian, Y.; Valdes, G.; Vincent, R.; Joey, C.; Vasant, K.; Olivier, M.; Gennatas, E.; Solberg, T.
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errSave
Comment on 'Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study'
errPHYSICS IN MEDICINE AND BIOLOGY
IF3.4
err2018-03-15
err16
PREAI
errValdes, Gilmer; Interian, Yannet
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errSave

Research Directions

The data has not been retrieved yet.
Co-authors
Cooperation Journals
S
Susan M. Chang
H-index: 96 · Papers: 707
L
Lyle Ungar
H-index: 87 · Papers: 656
J
Joanna J. Phillips
H-index: 84 · Papers: 643
M
Matthieu Resche‐Rigon
H-index: 77 · Papers: 441
J
Jerome H. Friedman
H-index: 73 · Papers: 251
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