Chaitanya Parmar

Johnson & Johnson (United States) — United States

Medicine · Health Sciences

2h-index39citations25works1.32yr avg
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Research Topics

Colorectal Cancer Screening and Detection(7), Radiomics and Machine Learning in Medical Imaging(5), Inflammatory Bowel Disease(4), AI in cancer detection(4), Bladder and Urothelial Cancer Treatments(3)

Publications25 total

P0366 Computer vision endoscopy scoring for ulcerative colitis disease severity (ARGES-CMES): A comparison between adult and paediatric clinical trials
Journal of Crohn s and Colitis·2026
GRASP-PsONet: Gradient-Based Removal of Spurious Patterns for PsOriasis Severity Classification
Lecture notes in computer science·2025· 2 cited
MEGAN: Mixture of Experts for Robust Uncertainty Estimation in Endoscopy Videos
arXiv (Cornell University)·2025Open Access
GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification
arXiv (Cornell University)·2025Open Access
Inferring FGFR status from H&E images using digital pathology to identify patients for early-stage bladder cancer targeted therapies.
Journal of Clinical Oncology·2025
Abstract 2445: Extending ENPP3 expression inference from tissue microarrays to whole tissue sections: building a case for automated patient enrichment and IHC scoring
Cancer Research·2025
PSO-NET: Development of an Automated Psoriasis Assessment System Using Attention-Based Interpretable Deep Neural Networks
2025· 1 cited
Estimation of overall survival in immunotherapy-treated bladder cancer using computer vision.
Journal of Clinical Oncology·2025
PSO-Net: Development of an automated psoriasis assessment system using attention-based interpretable deep neural networks
arXiv (Cornell University)·2025Open Access
Vision Transformer Model for Automated End-to-End Radiographic Assessment of Joint Damage in Psoriatic Arthritis
Lecture notes in computer science·2024
Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos
Lecture notes in computer science·2024· 1 cited
Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos
arXiv (Cornell University)·2024Open Access
Development and deployment of a histopathology-based deep learning algorithm for patient prescreening in a clinical trial
Nature Communications·2024· 23 citedOpen Access
Inferring PDL-1 status from H&E images using digital pathology to identify patients responsive to anti-PD(L)-1 immuno-oncology therapy for bladder cancer trials.
Journal of Clinical Oncology·2024
544 ARGES-CMES: A NOVEL, CONTINUOUS SCORING FOR ULCERATIVE COLITIS DISEASE SEVERITY: PREDICTION AND SENSITIVITY IN ASSESSING TREATMENT RESPONSE
Gastroenterology·2024
Su1830 HIGH PERFORMANCE ESTIMATION OF GEBOES SCORE IN ULCERATIVE COLITIS USING MULTI-INSTANCE LEARNING AND FOUNDATIONAL MODELS
Gastroenterology·2024
Tu1993 ARGESMAP: AN AI-DRIVEN MODEL TO ENHANCE ANATOMIC SEGMENT CLASSIFICATION OF GASTROINTESTINAL ENDOSCOPY VIDEOS IN CROHN'S DISEASE
Gastroenterology·2024
754 ARGES: AN AI-CENTRIC TOOLBOX FOR IBD CLINICAL TRIAL RESEARCH AND DEVELOPMENT
Gastroenterology·2024
Su1831 IDENTIFICATION AND RANKING OF GENE MODULE ASSOCIATION WITH HISTOLOGIC FEATURES IN ULCERATIVE COLITIS
Gastroenterology·2024
Tu1992 ARGES-CMES: A NOVEL, CONTINOUS SCORING FOR ULCERATIVE COLITIS DISEASE SEVERITY: ASSOCIATION WITH CLINICAL MEASURES AND TREATMENT RESPONSE VARIABLES
Gastroenterology·2024
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Frequent Co-authors

Kristopher Standish(24), Pablo F. Damasceno(11), Gabriela Oana Cula(11), Louis R. Ghanem(11), Tommaso Mansi(10), Pooya Mobadersany(9), Albert Juan Ramon(7), Joel Greshock(7), Lindsey Surace(7), Brendon Lutnick(6), Shreyas Fadnavis(6), Molly V. Lucas(5), Krishna Chaitanya(5), Emily A. Scherer(5), Natalia Zemlianskaia(5), Stephen Yip(4), Patricia Raciti(4), Basudha Pal(4), Atman P. Shah(4), David Apfel(4)