Sahil Sethi

According to our database, Sahil Sethi authored at least 7 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ProtoSSL: Interpretable Prototype Learning from Unlabeled Time-Series Data.

Steven Song, Sahil Sethi, Brett K. Beaulieu-Jones, Robert L. Grossman

CoRR, May, 2026

2025

Property prediction for ionic liquids without prior structural knowledge using limited experimental data: A data-driven neural recommender system leveraging transfer learning.

Sahil Sethi, Kai Sundmacher, Caroline Ganzer

CoRR, September, 2025

Prototype Learning to Create Refined Interpretable Digital Phenotypes from ECGs.

Sahil Sethi, David Chen, Michael C. Burkhart, Nipun Bhandari, Bashar Ramadan, Brett K. Beaulieu-Jones

CoRR, August, 2025

SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses.

Sahil Sethi, Sai Reddy, Mansi Sakarvadia, Jordan Serotte, Darlington Nwaudo, Nicholas Maassen, Lewis Shi

CoRR, April, 2025

ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning.

Sahil Sethi, David Chen, Thomas Statchen, Michael C. Burkhart, Nipun Bhandari, Bashar Ramadan, Brett K. Beaulieu-Jones

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

2024

CloudATAC: a cloud-based framework for ATAC-Seq data analysis.

Avinash M. Veerappa, M. Jordan Rowley, Angela Maggio, Laura Beaudry, Dale Hawkins, Allen Kim, Sahil Sethi, Paul L. Sorgen, Chittibabu Guda

Briefings Bioinform., July, 2024

Toward Non-Invasive Diagnosis of Bankart Lesions with Deep Learning.

Sahil Sethi, Sai Reddy, Mansi Sakarvadia, Jordan Serotte, Darlington Nwaudo, Nicholas Maassen, Lewis Shi

CoRR, 2024