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Physics in Medicine and Biology
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February 10, 2018
Comment on 'Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study'
Gilmer Valdes, Yannet Interian
Medical Physics
|
October 2, 2020
Targeted transfer learning to improve performance in small medical physics datasets
Miguel Romero, Yannet Interian, Timothy Solberg, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
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December 1, 2021
The Conditional Super Learner
Gilmer Valdes, Yannet Interian, Efstathios Gennatas, et al.
Artificial Intelligence in Medicine
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August 20, 2021
The Physiological Deep Learner: First application of multitask deep learning to predict hypotension in critically ill patients
Ményssa Cherifa, Yannet Interian, Alice Blet, et al.
Journal of Digital Imaging
|
August 8, 2022
Improving the Automatic Classification of Brain MRI Acquisition Contrast with Machine Learning
Julia Cluceru, Janine M Lupo, Yannet Interian, et al.
Nature Aging
|
May 18, 2026
Predicting categorical and continuous Alzheimer's disease outcomes from a single MRI scan
Daren Ma, Christabelle Pabalan, Abhejit Rajagopal, et al.
Medical Physics
|
April 1, 2018
Deep nets vs expert designed features in medical physics: An IMRT QA case study
Yannet Interian, Vincent Rideout, Vasant P Kearney, et al.
International Journal of Radiation Oncology, Biology, Physics
|
April 25, 2019
In Reply to Gensheimer and Trister
Gilmer Valdes, Albert J Chang, Adam Cunnan, et al.
International Journal of Radiation Oncology, Biology, Physics
|
May 1, 2018
Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis
Gilmer Valdes, Albert J Chang, Yannet Interian, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
February 20, 2020
Expert-augmented machine learning
Efstathios D Gennatas, Jerome H Friedman, Lyle H Ungar, et al.
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Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Physics in Medicine and Biology
|
February 10, 2018
Comment on 'Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study'
Gilmer Valdes, Yannet Interian
Medical Physics
|
October 2, 2020
Targeted transfer learning to improve performance in small medical physics datasets
Miguel Romero, Yannet Interian, Timothy Solberg, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
December 1, 2021
The Conditional Super Learner
Gilmer Valdes, Yannet Interian, Efstathios Gennatas, et al.
Artificial Intelligence in Medicine
|
August 20, 2021
The Physiological Deep Learner: First application of multitask deep learning to predict hypotension in critically ill patients
Ményssa Cherifa, Yannet Interian, Alice Blet, et al.
Journal of Digital Imaging
|
August 8, 2022
Improving the Automatic Classification of Brain MRI Acquisition Contrast with Machine Learning
Julia Cluceru, Janine M Lupo, Yannet Interian, et al.
Nature Aging
|
May 18, 2026
Predicting categorical and continuous Alzheimer's disease outcomes from a single MRI scan
Daren Ma, Christabelle Pabalan, Abhejit Rajagopal, et al.
Medical Physics
|
April 1, 2018
Deep nets vs expert designed features in medical physics: An IMRT QA case study
Yannet Interian, Vincent Rideout, Vasant P Kearney, et al.
International Journal of Radiation Oncology, Biology, Physics
|
April 25, 2019
In Reply to Gensheimer and Trister
Gilmer Valdes, Albert J Chang, Adam Cunnan, et al.
International Journal of Radiation Oncology, Biology, Physics
|
May 1, 2018
Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis
Gilmer Valdes, Albert J Chang, Yannet Interian, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
February 20, 2020
Expert-augmented machine learning
Efstathios D Gennatas, Jerome H Friedman, Lyle H Ungar, et al.
Page
of 2