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Data Augmentation for Electrocardiograms



Aniruddh Raghu , Divya Shanmugam , Eugene Pomerantsev , John Guttag , Collin M. Stultz

* Conference on Health, Inference, and Learning (CHIL) 2022 

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Learning the Effect of Registration Hyperparameters with HyperMorph



Andrew Hoopes , Malte Hoffmann , Douglas N. Greve , Bruce Fischl , John Guttag , Adrian V. Dalca

* Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) at https://www.melba-journal.org 

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Multiplying Matrices Without Multiplying



Davis Blalock , John Guttag

* To appear at ICML 2021 

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Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction



Aniruddh Raghu , John Guttag , Katherine Young , Eugene Pomerantsev , Adrian V. Dalca , Collin M. Stultz

* ACM Conference on Health, Learning, and Inference 2021 

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HyperMorph: Amortized Hyperparameter Learning for Image Registration



Andrew Hoopes , Malte Hoffmann , Bruce Fischl , John Guttag , Adrian V. Dalca

* Keywords: Deformable Image Registration, Hyperparameter Tuning, Deep Learning, and Amortized Learning 

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When and Why Test-Time Augmentation Works



Divya Shanmugam , Davis Blalock , Guha Balakrishnan , John Guttag


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Unsupervised Domain Adaptation in the Absence of Source Data



Roshni Sahoo , Divya Shanmugam , John Guttag


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Anatomical Predictions using Subject-Specific Medical Data



Marianne Rakic , John Guttag , Adrian V. Dalca

* Accepted as a short paper to MIDL2020. Keywords: Medical Imaging, Multi-Modal, Prediction 

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What is the State of Neural Network Pruning?



Davis Blalock , Jose Javier Gonzalez Ortiz , Jonathan Frankle , John Guttag

* Published in Proceedings of Machine Learning and Systems 2020 (MLSys 2020) 

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Image segmentation of liver stage malaria infection with spatial uncertainty sampling



Ava P. Soleimany , Harini Suresh , Jose Javier Gonzalez Ortiz , Divya Shanmugam , Nil Gural , John Guttag , Sangeeta N. Bhatia


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