Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham

5 May 2022

Papers citing "Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham"

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Title
On the design of convolutional neural networks for automatic detection of Alzheimer's disease Sheng Liu Chhavi Yadav C. Fernandez‐Granda N. Razavian 42 46 0 09 Nov 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015