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John Guttag

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Tyche: Stochastic In-Context Learning for Medical Image Segmentation

Jan 24, 2024
Marianne Rakic, Hallee E. Wong, Jose Javier Gonzalez Ortiz, Beth Cimini, John Guttag, Adrian V. Dalca

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ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image

Dec 12, 2023
Hallee E. Wong, Marianne Rakic, John Guttag, Adrian V. Dalca

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GIST: Generating Image-Specific Text for Fine-grained Object Classification

Aug 04, 2023
Kathleen M. Lewis, Emily Mu, Adrian V. Dalca, John Guttag

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Generating Image-Specific Text Improves Fine-grained Image Classification

Jul 21, 2023
Emily Mu, Kathleen M. Lewis, Adrian V. Dalca, John Guttag

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Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series

Jul 20, 2023
Aniruddh Raghu, Payal Chandak, Ridwan Alam, John Guttag, Collin M. Stultz

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Multi-Similarity Contrastive Learning

Jul 06, 2023
Emily Mu, John Guttag, Maggie Makar

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Coarse race data conceals disparities in clinical risk score performance

Apr 18, 2023
Rajiv Movva, Divya Shanmugam, Kaihua Hou, Priya Pathak, John Guttag, Nikhil Garg, Emma Pierson

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Non-Proportional Parametrizations for Stable Hypernetwork Learning

Apr 15, 2023
Jose Javier Gonzalez Ortiz, John Guttag, Adrian Dalca

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UniverSeg: Universal Medical Image Segmentation

Apr 12, 2023
Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John Guttag, Adrian V. Dalca

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Amortized Learning of Dynamic Feature Scaling for Image Segmentation

Apr 11, 2023
Jose Javier Gonzalez Ortiz, John Guttag, Adrian Dalca

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