Sahil Sethi
Scholar

Sahil Sethi

Google Scholar ID: -fIpotUAAAAJ
University of Chicago
Medical Machine LearningSignal ProcessingMedical Imaging
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Citations & Impact
All-time
Citations
41
 
H-index
3
 
i10-index
1
 
Publications
12
 
Co-authors
0
 
Contact
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Publications
4 items
Property prediction for ionic liquids without prior structural knowledge using limited experimental data: A data-driven neural recommender system leveraging transfer learning
2025
Cited
0
Prototype Learning to Create Refined Interpretable Digital Phenotypes from ECGs
2025
Cited
0
SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses
2025
Cited
0
ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning
2025
Cited
0
Resume (English only)
Background
  • MD student at the University of Chicago
  • Medical AI researcher
  • Research focuses on developing deep learning methods for medical time-series data (e.g., ECGs)
  • Emphasizes model interpretability and clinical decision support
  • Collaborates with Dr. Lewis Shi and Dr. Nicholas Maassen in Orthopedic Surgery on applying machine learning to diagnostic tasks
Co-authors
0 total
Co-authors: 0 (list not available)