Guttag, John V.

13 publications

CVPR 2024 Tyche: Stochastic In-Context Learning for Medical Image Segmentation Marianne Rakic, Hallee E. Wong, Jose Javier Gonzalez Ortiz, Beth A. Cimini, John V. Guttag, Adrian V. Dalca

NeurIPS 2023 Scale-Space Hypernetworks for Efficient Biomedical Image Analysis Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian Dalca

CVPR 2020 Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Fredo Durand, John V. Guttag, Adrian V. Dalca

CVPR 2019 Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation Amy Zhao, Guha Balakrishnan, Fredo Durand, John V. Guttag, Adrian V. Dalca

MLHC 2019 Learning from Few Subjects with Large Amounts of Voice Monitoring Data Jose Javier Gonzalez Ortiz, Daryush D. Mehta, Jarrad H. Van Stan, Robert Hillman, John V. Guttag, Marzeyeh Ghassemi

ICCV 2019 Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Fredo Durand, William T. Freeman

AAAI 2018 Learning the Probability of Activation in the Presence of Latent Spreaders Maggie Makar, John V. Guttag, Jenna Wiens

MLHC 2018 Learning to Summarize Electronic Health Records Using Cross-Modality Correspondences Jen J. Gong, John V. Guttag

ICCVW 2015 Estimating a Small Signal in the Presence of Large Noise Amy Zhao, Frédo Durand, John V. Guttag

NeurIPS 2012 Patient Risk Stratification for Hospital-Associated C. Diff as a Time-Series Classification Task Jenna Wiens, Eric Horvitz, John V. Guttag

NeurIPS 2010 Active Learning Applied to Patient-Adaptive Heartbeat Classification Jenna Wiens, John V. Guttag

ICML 2010 Application of Machine Learning to Epileptic Seizure Detection Ali H. Shoeb, John V. Guttag

NeurIPS 2010 Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch Zeeshan Syed, John V. Guttag