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PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging


Apr 12, 2021
Anthony Sicilia, Xingchen Zhao, Anastasia Sosnovskikh, Seong Jae Hwang


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Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in Multi-Domain Loss Landscapes by Inner-Loop Learning


Feb 25, 2021
Anthony Sicilia, Xingchen Zhao, Davneet Minhas, Erin O'Connor, Howard Aizenstein, William Klunk, Dana Tudorascu, Seong Jae Hwang

* IEEE International Symposium on Biomedical Imaging 2021 

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Robust White Matter Hyperintensity Segmentation on Unseen Domain


Feb 17, 2021
Xingchen Zhao, Anthony Sicilia, Davneet Minhas, Erin O'Connor, Howard Aizenstein, William Klunk, Dana Tudorascu, Seong Jae Hwang

* IEEE International Symposium on Biomedical Imaging 2021 

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Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve


Feb 07, 2021
Anthony Sicilia, Xingchen Zhao, Seong Jae Hwang


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Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging


Dec 11, 2018
Seong Jae Hwang, Zirui Tao, Won Hwa Kim, Vikas Singh


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Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families


Sep 02, 2018
Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Vikas Singh

* Version 2 

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