John Guttag
25 papers · 2009–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (52) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Keyword Pioneer
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Keyword Trendsetter Combo
(3)
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Keyword Champion
(2)
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Century Club Β· Bronze
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The Questioner
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Renaissance Researcher
(6)
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Conference Pioneer
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Keyword Collector
(136)
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Trend Setter
Top co-authors
Research topics
Machine Learning
(21)
Learning Types
(13)
Computer Vision
(10)
Core Methods
(10)
Application Areas
(9)
Healthcare & Medicine
(8)
Clinical
(8)
Deep Learning
(6)
Analysis
(6)
Artificial Intelligence
(5)
Domain-Specific
(5)
Data Science & Analytics
(4)
Core AI
(4)
Optimization & Theory
(4)
Processing
(3)
Keywords
risk stratification
(3)
medical imaging
(3)
convolutional neural network
(3)
test-time augmentation
(2)
disease prediction
(2)
representation learning
(2)
unsupervised learning
(2)
semantic segmentation
(1)
contrastive learning
(1)
causal inference
(1)
transfer learning
(1)
anomaly detection
(1)
principal component analysis
(1)
decision making
(1)
conformal prediction
(1)
self-supervised learning
(1)
risk management
(1)
motion estimation
(1)
model robustness
(1)
image generation
(1)
Papers
MultiMorph: On-demand Atlas Construction
CVPR 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
Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
ICLR 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
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series
ICML 2023
UniverSeg: Universal Medical Image Segmentation
ICCV 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
NeurIPS 2019
Multiple Instance Learning for ECG Risk Stratification
MLHC 2019
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
CVPR 2018
An Unsupervised Learning Model for Deformable Medical Image Registration
CVPR 2018
Synthesizing Images of Humans in Unseen Poses
CVPR 2018
Patient Risk Stratification with Time-Varying Parameters: A Multitask Learning Approach
JMLR 2016
Transferring Knowledge from Text to Predict Disease Onset
MLHC 2016
Uncovering Voice Misuse Using Symbolic Mismatch
MLHC 2016
Detecting Pulse from Head Motions in Video
CVPR 2013
Learning Connections in Financial Time Series
ICML 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