Narayan Hegde
Working on understanding and developing deep neural networks for healthcare applications
Authored Publications
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Evaluating PEARL - a Personalized Exercise Assistant using Reinforcement Learning (Walkmate Study)
Hulya Emir-Farinas
Martin Seneviratne
Amy Lee
Jim Taylor
Sriram Lakshminarasimhan
Emily Rosenzweig
OSF Registries (2024)
Deep learning models for histologic grading of breast cancer and association with disease prognosis
Trissia Brown
Isabelle Flament
Fraser Tan
Yuannan Cai
Kunal Nagpal
Emad Rakha
David J. Dabbs
Niels Olson
James H. Wren
Elaine E. Thompson
Erik Seetao
Carrie Robinson
Melissa Miao
Fabien Beckers
Lily Hao Yi Peng
Craig Mermel
Cameron Chen
npj Breast Cancer (2022)
Walking with PACE — Personalized and Automated Coaching Engine
Deepak Nathani
Eshan Motwani
Karina Lorenzana Livingston
Madhurima Vardhan
Martin Gamunu Seneviratne
Nur Muhammad
Rahul Singh
Shantanu Prabhat
Sriram Lakshminarasimhan
Srujana Merugu
UMAP: 30th ACM Conference on User Modeling, Adaptation and Personalization (2022)
Interpretable Survival Prediction for Colorectal Cancer using Deep Learning
Melissa Moran
Markus Plass
Robert Reihs
Fraser Tan
Isabelle Flament
Trissia Brown
Peter Regitnig
Cameron Chen
Apaar Sadhwani
Bob MacDonald
Benny Ayalew
Lily Hao Yi Peng
Heimo Mueller
Zhaoyang Xu
Martin Stumpe
Kurt Zatloukal
Craig Mermel
npj Digital Medicine (2021)
Similar Image Search for Histopathology: SMILY
Jason Hipp
Michael Emmert-Buck
Daniel Smilkov
Mahul Amin
Craig Mermel
Lily Peng
Martin Stumpe
Nature Partner Journal (npj) Digital Medicine (2019)
Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making
Jason Hipp
Daniel Smilkov
Martin Stumpe
Conference on Human Factors in Computing Systems (2019)
