Chintan Shah

UPMC Hillman Cancer Center — United States

Medicine · Health Sciences

26h-index4.0kcitations135works1.12yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Multiple Myeloma Research and Treatments(10), Chemotherapy-induced cardiotoxicity and mitigation(10), Neuroendocrine Tumor Research Advances(9), Colorectal Cancer Screening and Detection(8), Global Cancer Incidence and Screening(8)

Publications128 total

Abstract PS3-04-14: Artificial intelligence (AI) as a decision support tool for practicing oncologists: breast cancer cases
Clinical Cancer Research·2026
PLUTO-4: Frontier Pathology Foundation Models
arXiv (Cornell University)·2025Open Access
Comparison of Tobramycin-Dexamethasone Combination Eyedrop Versus Artificial Tear Eyedrop for the Management of Presumed Viral Epidemic Conjunctivitis: A Randomized Treatment Trial
Current Eye Research·2025
Su1904: CONSORTIUM-DRIVEN DEVELOPMENT OF PATHOLOGY FOUNDATION MODEL-BASED APPROACHES FOR AUTOMATED SCORING OF HISTOPATHOLOGY IN ULCERATIVE COLITIS
Gastroenterology·2025
ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows
arXiv (Cornell University)·2025· 2 citedOpen Access
Abstract TP114: Implementation of Evaluation and Treatment Package for Uniform Stroke Care and Outcomes in Medical Colleges in India (IMPETUSTROKE): Tele-Rehabilitation Model of Care for Post Stroke Patients
Stroke·2025· 1 cited
A feasibility study using quantitative and interpretable histological analyses of celiac disease for automated cell type and tissue area classification
Scientific Reports·2024Open Access
Multi-Institutional Evaluation and Training of Breast Density Classification AI Algorithm Using ACR Connect and AI-LAB
Journal of the American College of Radiology·2024
Traumatic irido-pseudophacocele following whiplash injury with cow tail: A case report
Indian Journal of Ophthalmology - Case Reports·2024Open Access
Learning biologically relevant features in a pathology foundation model using sparse autoencoders
arXiv (Cornell University)·2024Open Access
Abstract 7402: Foundation AI models predict molecular measurements of tumor purity
Cancer Research·2024· 4 cited
Lytic lesions in bone in a CKD patient, brown tumor is a must on the differential
Wadia Journal of Women and Child Health·2024Open Access
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology
2024· 10 cited
P008 Machine learning derived histological features of epithelial injury and repair in Ulcerative Colitis biopsies correlate with disease severity
Journal of Crohn s and Colitis·2024Open Access
Fully automated histological classification of cell types and tissue regions of celiac disease is feasible and correlates with the Marsh score
2023· 2 citedOpen Access
A Comparison of Machine Learning Algorithms for Customer Churn Prediction
2023· 11 cited
Mobile battery blast injuries: An emerging ocular health hazard in children
Indian Journal of Ophthalmology·2023· 2 citedOpen Access
Utility of Prognostic Scoring in Severe Malaria
2023
ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology
arXiv (Cornell University)·2023· 1 citedOpen Access
Comparison of profile and short-term outcome of acute kidney injury between steroid sensitive and steroid resistant nephrotic syndrome
International Journal of Contemporary Pediatrics·2023Open Access
page 1 of 7Next →

Frequent Co-authors

Rohit Bishnoi(18), Harini Bejjanki(6), Jan S. Moreb(6), William Paul Skelton(5), Nam H. Dang(5), Yu Wang(4), Young‐Rock Hong(4), Jinhai Huo(4), Amit Mohan(3), Pradhnya Sen(3), Elesh Jain(3), Azka Ali(3), Long H. Dang(3), Lazarus K. Mramba(3), Jiang Bian(3), Taimour Langaee(3), Carl J. Pepine(3), Yan Gong(3), Dinkar Juyal(3), Ankur Jain(2)