Ruchika Verma

8PUBLICATIONS
37CO-AUTHORS
Gene expression (incl. microarray and other genome-wide approaches)Developmental genetics (incl. sex determination)Predictive and prognostic markersUrban informaticsData models, storage and indexing
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Publications (8)

|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

|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

|Oct 29, 2020
Reproducibility analysis of multi-institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset.

Sarthak Pati, Ruchika Verma, Hamed Akbari

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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