John Guttag

25 papers · 2009–2025 · 8 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🏃 Academic Marathon (16) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (11)

🌈 Renaissance Researcher (8) 🗺️ Taxonomy Completionist (49) 🌉 Interdisciplinary Bridge 🏆 Keyword Champion (3) 🚀 Conference Pioneer ❓ The Questioner 📈 Trend Setter 💎 Century Club (25) 🗃️ Keyword Collector (128)

Conferences

CVPR (6) ICML (5) MLHC (4) ICCV (3) JMLR (3) ICLR (2) ECCV (1) NIPS (1)

Top co-authors

Adrian V. Dalca (6) Divya Shanmugam (4) Guha Balakrishnan (4) Zeeshan Syed (3) Davis Blalock (3) Jose Javier Gonzalez Ortiz (3) Mert R. Sabuncu (3) Adrian Dalca (2) Fredo Durand (2) Collin Stultz (2)

Research topics

Techniques (1) Applications (1) Applications (1)

Keywords

medical imaging (3) convolutional neural network (3) risk stratification (3) disease prediction (2) unsupervised learning (2) representation learning (2) test-time augmentation (2) semantic segmentation (1) contrastive learning (1) causal inference (1) anomaly detection (1) principal component analysis (1) decision making (1) similarity learning (1) transfer learning (1) conformal prediction (1) self-supervised learning (1) motion estimation (1) risk management (1) model robustness (1)

Papers

MultiMorph: On-demand Atlas Construction CVPR 2025 Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations ICLR 2025 MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance ICCV 2025 Test-time Augmentation Improves Efficiency in Conformal Prediction CVPR 2025 Magnitude Invariant Parametrizations Improve Hypernetwork Learning ICLR 2024 ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image ECCV 2024 Coarse race data conceals disparities in clinical risk score performance MLHC 2023 UniverSeg: Universal Medical Image Segmentation ICCV 2023 Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series ICML 2023 Better Aggregation in Test-Time Augmentation ICCV 2021 Exploiting structured data for learning contagious diseases under incomplete testing ICML 2021 Multiplying Matrices Without Multiplying ICML 2021 Estimation of Bounds on Potential Outcomes For Decision Making ICML 2020 Learning Conditional Deformable Templates with Convolutional Networks NIPS 2019 Multiple Instance Learning for ECG Risk Stratification MLHC 2019 Synthesizing Images of Humans in Unseen Poses CVPR 2018 An Unsupervised Learning Model for Deformable Medical Image Registration CVPR 2018 Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation CVPR 2018 Transferring Knowledge from Text to Predict Disease Onset MLHC 2016 Uncovering Voice Misuse Using Symbolic Mismatch MLHC 2016 Patient Risk Stratification with Time-Varying Parameters: A Multitask Learning Approach JMLR 2016 Learning Connections in Financial Time Series ICML 2013 Detecting Pulse from Head Motions in Video CVPR 2013 Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data JMLR 2011 Learning Approximate Sequential Patterns for Classification JMLR 2009