GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection (https://osf.io/84e7f/)

Endoscopic and Pathological data extraction for various endo-pathological data extraction

EndoCV2020: Endoscopic Artefact Detection Challenge (EAD2020) - Implementation of the proposed framework

TransRUPNet for Improved Out-of-Distribution Generalization in Polyp Segmentation (IEEE EMBC)

Official repository for the MediaEval Medico 2025: VQA (with multimodal explanations) for GastroIntestinal Imaging, featuring the Kvasir-VQA-x1 dataset, participation guidelines, and starter resources.

Core function for reading and processing of 13C breath test data for gastric emptying

Endoscopic and Pathological data extraction for various endo-pathological data extraction

Classification of eight classes of gastrointestinal diseases(namely Dyed-lifted polyps, Dyed-resection margines, Esophagitis, Normal-cecum, Normal pylorus, Normal-Z-line, Polyps and Ulcerative-colitis)

501(c)(3) organization

Video capsule endoscopy (VCE) is an important innovation for gastroenterology and enables minimally invasive GI investigations. But VCE creates enormous amounts of data. The proposed model uses CNN architecture and ensemble learning to address this issue. And also used XAI methods like SHAP, LIME, Grad-CAM for explaining the model.

Streamlit web-app for calculating the updated Lémann Index, measures cumulative bowel-damage in Crohn’s disease (strictures + fistulae + surgery). Research/education use only.

This repo presents codes that helps patients to get informed about diverticulitis from food meal image with help of Ollama and MedGemma with VLM in local setup