Publications
92
Citations
8,104
Est. group size
—
Recurring co-author estimate
Active years
17
Publishing since 2010
Sarthak Pati works at the intersection of artificial intelligence and medical imaging, developing machine learning methods to analyze scans such as MRI and CT for disease detection and diagnosis. Recent projects include predicting Alzheimer's disease from brain scans, classifying cancers and brain tumors, and building privacy-protecting systems that let hospitals train shared AI models without exposing patient data (federated learning). The work also covers generating synthetic medical images and evaluating how well segmentation algorithms outline structures in scans.
Publication activity grew sharply around 2020 and has remained steady at roughly 11-15 papers per year through 2025.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Adapting to evolving MRI data: A transfer learning approach for Alzheimer’s disease prediction
NeuroImage · 2025
- From screening to subtyping in a single glance
Patterns · 2025
- Inclusive Federated Learning for Healthcare Collaboration: Development and Evaluation of a Compliance-Aware Differential Privacy Framework (Preprint)
2025
- Inclusive, Differentially Private Federated Learning for Clinical Data
arXiv (Cornell University) · 2025
- GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes
Lecture notes in computer science · 2024
- GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes
arXiv (Cornell University) · 2023
- Panoptica -- instance-wise evaluation of 3D semantic and instance segmentation maps
arXiv (Cornell University) · 2023
- arXiv (Cornell University)×19
- Lecture notes in computer science×11
- Neuro-Oncology×7
- Nature Communications×3
- Radiology×2
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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