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Neeraj Kumar

8PUBLICATIONS

170CO-AUTHORS

Gene expression (incl. microarray and other genome-wide approaches)Predictive and prognostic markersDeep learningSemi- and unsupervised learningCardiology (incl. cardiovascular diseases)

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Publications (8)

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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

|Nov 24, 2023

Accurate personalized survival prediction for amyotrophic lateral sclerosis patients.

Li-Hao Kuan, Pedram Parnianpour, Rafsanjany Kushol

|Jul 18, 2023

Learning Individual Survival Models from PanCancer Whole Transcriptome Data.

Neeraj Kumar, Daniel Skubleny, Michael Parkes

|Jan 26, 2023

Author Correction: Federated learning enables big data for rare cancer boundary detection.

Sarthak Pati, Ujjwal Baid, Brandon Edwards

|Dec 05, 2022

Federated learning enables big data for rare cancer boundary detection.

Sarthak Pati, Ujjwal Baid, Brandon Edwards

|Mar 17, 2022

Learning accurate personalized survival models for predicting hospital discharge and mortality of COVID-19 patients.

Neeraj Kumar, Shi-Ang Qi, Li-Hao Kuan

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Frequent Collaborators

3 joint publications

Russell Greiner

2 joint publications

Peter H Gann

2 joint publications

Amit Sethi

2 joint publications

Sarthak Pati

2 joint publications

Ujjwal Baid

2 joint publications

Brandon Edwards

2 joint publications

Patrick Foley

2 joint publications

Deepthi Karkada

2 joint publications

Christos Davatzikos

2 joint publications

Chiharu Sako

Frequent Collaborators

3 joint publications

Russell Greiner

2 joint publications

Peter H Gann

2 joint publications

Amit Sethi

2 joint publications

Sarthak Pati

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