Publications by authors named "Yannet Interian"

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Improving the Automatic Classification of Brain MRI Acquisition Contrast with Machine Learning.
Julia Cluceru, Janine M Lupo, Yannet Interian, Riley Bove, Jason C Crane

J Digit Imaging· February 2023

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The Conditional Super Learner.
Gilmer Valdes, Yannet Interian, Efstathios Gennatas, Mark Van der Laan

IEEE Trans Pattern Anal Mach Intell· December 2022

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Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging.
Julia Cluceru, Yannet Interian, Joanna J Phillips, Annette M Molinaro, Tracy L Luks

Neuro Oncol· April 2022

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The Physiological Deep Learner: First application of multitask deep learning to predict hypotension in critically ill patients.
Ményssa Cherifa, Yannet Interian, Alice Blet, Matthieu Resche-Rigon, Romain Pirracchio

Artif Intell Med· August 2021

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Targeted transfer learning to improve performance in small medical physics datasets.
Miguel Romero, Yannet Interian, Timothy Solberg, Gilmer Valdes

Med Phys· December 2020

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Expert-augmented machine learning.
Efstathios D Gennatas, Jerome H Friedman, Lyle H Ungar, Romain Pirracchio, Eric Eaton, Yannet Interian

Proc Natl Acad Sci U S A· March 2020

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Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival.
Olivier Morin, William C Chen, Farshad Nassiri, Matthew Susko, Stephen T Magill, Yannet Interian

Neurooncol Adv· August 2019

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In Reply to Gensheimer and Trister.
Gilmer Valdes, Albert J Chang, Adam Cunnan, Timothy D Solberg, I-Chow Hsu, Yannet Interian

Int J Radiat Oncol Biol Phys· December 2018

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Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis.
Gilmer Valdes, Albert J Chang, Yannet Interian, Kenton Owen, Shane T Jensen

Int J Radiat Oncol Biol Phys· July 2018

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Deep nets vs expert designed features in medical physics: An IMRT QA case study.
Yannet Interian, Vincent Rideout, Vasant P Kearney, Efstathios Gennatas, Olivier Morin

Med Phys· June 2018

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Comment on 'Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study'.
Gilmer Valdes, Yannet Interian

Phys Med Biol· March 2018

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