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Ruchika Verma

8PUBLICATIONS

37CO-AUTHORS

Gene expression (incl. microarray and other genome-wide approaches)Developmental genetics (incl. sex determination)Predictive and prognostic markersGene and molecular therapyUrban informatics

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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

|Aug 23, 2024

Sexually dimorphic computational histopathological signatures prognostic of overall survival in high-grade gliomas via deep learning.

Ruchika Verma, Tyler J Alban, Prerana Parthasarathy

|Jul 18, 2023

Learning Individual Survival Models from PanCancer Whole Transcriptome Data.

Neeraj Kumar, Daniel Skubleny, Michael Parkes

|Mar 15, 2023

Stable and Discriminatory Radiomic Features from the Tumor and Its Habitat Associated with Progression-Free Survival in Glioblastoma: A Multi-Institutional Study.

R Verma, V B Hill, V Statsevych

|Apr 13, 2021

The Pursuit of Generalizability to Enable Clinical Translation of Radiomics.

Pallavi Tiwari, Ruchika Verma

|Dec 17, 2020

Tumor Habitat-derived Radiomic Features at Pretreatment MRI That Are Prognostic for Progression-free Survival in Glioblastoma Are Associated with Key Morphologic Attributes at Histopathologic Examination: A Feasibility Study.

Ruchika Verma, Ramon Correa, Virginia B Hill

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Frequent Collaborators

4 joint publications

Virginia B Hill

4 joint publications

Pallavi Tiwari

3 joint publications

Ramon Correa

3 joint publications

Anant Madabhushi

3 joint publications

Niha Beig

2 joint publications

Volodymyr Statsevych

2 joint publications

Kaustav Bera

2 joint publications

Neeraj Kumar

1 joint publications

P Leo

1 joint publications

M Ahluwalia

Frequent Collaborators

4 joint publications

Virginia B Hill

4 joint publications

Pallavi Tiwari

3 joint publications

Ramon Correa

3 joint publications

Anant Madabhushi

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