Author

Ritu Aneja

University of Alabama at BirminghamORCID 0000-0003-4489-5320Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Approach:deep learning· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Fusheng WangiD· 2 shared George TeodoroiD· 2 shared Jun KongiD· 2 shared Mahak BhargavaiD· 2 shared Shristi BhattaraiiD· 2 shared Akhila BalasubramanianiD· 1 shared Angela R. OmilianiD· 1 shared Arun SreekumariD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Fusheng WangORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Cancer BiologyNature CommunicationsPeer-reviewedJul 17, 2025

Integrative spatial omics reveals distinct tumor-promoting multicellular niches and immunosuppressive mechanisms in Black American and White American patients with TNBC

Qian Zhu, Akhila Balasubramanian, Jaya Ruth Asirvatham…·Arun Sreekumar

This study uses spatial omics to identify distinct tumor microenvironment profiles in Black and White American TNBC patients, linking them to different immunosuppressive mechanisms and clinical outcomes.

33 citationstop 1%

humanspatial transcriptomics

𝕏 PostBluesky

BioinformaticsJournal of Pathology InformaticsPeer-reviewedJan 1, 2023

Deep Learning Based Registration of Serial Whole-slide Histopathology Images in Different Stains

Mousumi Roy, Fusheng Wang, George Teodoro…·Jun Kong

This paper introduces CycGANRegNet, a deep learning method for registering serial WSIs in different stains, achieving better performance than existing methods on breast cancer patient data.

23 citations

humanimaging

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedAug 13, 2022

A Spatial Attention Guided Deep Learning System for Prediction of Pathological Complete Response Using Breast Cancer Histopathology Images

Hongyi Duanmu, Shristi Bhattarai, Hongxiao Li…·Jun Kong

This paper develops a deep learning system to predict pathological complete response in TNBC patients using histopathology images and biomarkers, achieving 93% accuracy.

47 citations

humanimaging

𝕏 PostBluesky