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Amit Sethi

4PUBLICATIONS

12CO-AUTHORS

Gene expression (incl. microarray and other genome-wide approaches)Innate immunityModelling and simulationDeep learning

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Publications (4)

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|Dec 31, 2024

Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide Images.

Nikhil Cherian Kurian, Peter H Gann, Neeraj Kumar

|May 25, 2023

Multiscale deep learning framework captures systemic immune features in lymph nodes predictive of triple negative breast cancer outcome in large-scale studies.

Gregory Verghese, Mengyuan Li, Fangfang Liu

|Oct 13, 2022

Cautious Artificial Intelligence Improves Outcomes and Trust by Flagging Outlier Cases.

Abhiraj S Kanse, Nikhil C Kurian, Himanshu P Aswani

|Aug 04, 2021

Weakly supervised learning on unannotated H&E-stained slides predicts BRAF mutation in thyroid cancer with high accuracy.

Deepak Anand, Kumar Yashashwi, Neeraj Kumar

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Frequent Collaborators

3 joint publications

Swapnil Rane

3 joint publications

Peter H Gann

2 joint publications

Neeraj Kumar

2 joint publications

Nikhil Cherian Kurian

1 joint publications

Abhiraj S Kanse

1 joint publications

Mengyuan Li

1 joint publications

Terry Chan

1 joint publications

Mark Opdam

1 joint publications

J Louise Jones

1 joint publications

Anita Grigoriadis

Frequent Collaborators

3 joint publications

Swapnil Rane

3 joint publications

Peter H Gann

2 joint publications

Neeraj Kumar

2 joint publications

Nikhil Cherian Kurian

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