John Guttag
Dugald C. Jackson Professor in Electrical Engineering, (Post-Tenure)
Leads the Clinical and Applied Machine Learning Group, developing machine learning and computer vision tools to improve medical outcomes.
John Guttag's lab at MIT works on medical imaging & healthcare AI. 20 papers since 2023, 12 at top venues, mostly CVPR and NeurIPS. 108 alumni. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 60%
- PhD students
- —
- MS students
- —
- alumni listed
- 108
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 8 papers2025 · T1 6
- 4 papers2024 · T1 3
- 8 papers2023 · T1 3
T1 venuesOtherVenues: CVPR, NeurIPS, ICCV, ICLR, ECCV
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI4 papers
- improve1 paper
- applied machine0 papers
- outcomes0 papers
- developing machine0 papers
Paper list
From the lab homepage.
20258 papers
- ML4HClassifying Phonotrauma Severity from Vocal Fold Images with Soft Ordinal Regression
- NeurIPS (T1)Estimating Classifier Performance With Limited Labels
- ML4HMachine Learning Reveals Hidden Diagnoses Among Underserved Populations
- CVPR (T1)MultiMorph: On-demand Atlas Construction
- ICCV (T1)MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-context Guidance
- NeurIPS (T1)Pancakes: Consistent Multi-Protocol Image Segmentation Across Biomedical Domains
- CVPR (T1)Test-time augmentation Improves Efficiency in Conformal Prediction
- ICLR (T1)Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
20244 papers
- ICLR (T1)Magnitude Invariant Parameterizations Improve Hypernetwork Learning
- NEJM CatalystReducing Fraud, Waste, and Abuse through Real-time AI-based Screening: Prospective Results in Deployment
- ECCV (T1)ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image
- CVPR (T1)Tyche: Stochastic In-Context Learning for Medical Image Segmentation
20238 papers
- Applied SciencesAcoustic voice and speech biomarkers of treatment status during hospitalization for acute decompensated heart failure
- Kaleidoscope: Semantically-grounded, context-specific model evaluation,� CHI Conference on Human Factors in Computing SystemsAmour, J. Guttag, and A.Satyanarayan
- CHILContrastive Learning of Electrodermal Activity Representations for Stress Detection
- MLHCCourse race data conceals disparities in clinical risk score performance
- ACM Conference on Fairness, Accountability, and Transparency. FAccT '23Saliency Cards: A Framework to Characterize and Compare Saliency Methods
- NeurIPS (T1)Scale-space Hypernetworks for Efficient Biomedical Image Analysis
- ICML (T1)Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series
- ICCV (T1)UniverSeg: Universal Medical Image Segmentation
Where alumni went108 listed
Apply to MITFall 2027
MIT EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- TOEFL/IELTS
- Fee
- USD 90
Confirmed on the program page.
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
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- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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