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Eugene Belilovsky

Showing results (1-10 of 6) with videos related to

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Cell|March 27, 2025
Large language models deconstruct the clinical intuition behind diagnosing autismJack Stanley, Emmett Rabot, Siva Reddy, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 21, 2018
Scattering Networks for Hybrid Representation LearningEdouard Oyallon, Sergey Zagoruyko, Gabriel Huang, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|March 26, 2025
Unsupervised Test-Time Adaptation for Hepatic Steatosis Grading Using Ultrasound B-Mode ImagesPedro Vianna, Paria Mehrbod, Muawiz Chaudhary, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 12, 2015
Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support normEugene Belilovsky, Katerina Gkirtzou, Michail Misyrlis, et al.
Scientific Reports|June 10, 2024
Simulating federated learning for steatosis detection using ultrasound imagesYue Qi, Pedro Vianna, Alexandre Cadrin-Chênevert, et al.
Radiology|October 3, 2023
Comparison of Radiologists and Deep Learning for US Grading of Hepatic SteatosisPedro Vianna, Sara-Ivana Calce, Pamela Boustros, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Cell|March 27, 2025
Large language models deconstruct the clinical intuition behind diagnosing autismJack Stanley, Emmett Rabot, Siva Reddy, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 21, 2018
Scattering Networks for Hybrid Representation LearningEdouard Oyallon, Sergey Zagoruyko, Gabriel Huang, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|March 26, 2025
Unsupervised Test-Time Adaptation for Hepatic Steatosis Grading Using Ultrasound B-Mode ImagesPedro Vianna, Paria Mehrbod, Muawiz Chaudhary, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 12, 2015
Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support normEugene Belilovsky, Katerina Gkirtzou, Michail Misyrlis, et al.
Scientific Reports|June 10, 2024
Simulating federated learning for steatosis detection using ultrasound imagesYue Qi, Pedro Vianna, Alexandre Cadrin-Chênevert, et al.
Radiology|October 3, 2023
Comparison of Radiologists and Deep Learning for US Grading of Hepatic SteatosisPedro Vianna, Sara-Ivana Calce, Pamela Boustros, et al.
Pageof 1