Invited Talks - Debesh Jha

Academic Talks

From Data to Diagnosis – Advancing Medical Imaging with Curated Dataset and AI Algorithms
📍 Stanford MedAI, 2025

This talk focused on dataset curation and segmentation algorithms including CirrMRI600+, PolypGen, Kvasir-SEG, ResUNet++, ColonSegNet, TransNetR, and MDNet.
Beyond Human Vision: Transforming Radiology and GI Endoscopy with AI
📍 Brown Bag Series, University of South Dakota, 2024

Discussed the role of AI in endoscopy and radiology, showcasing how deep learning is transforming diagnostic workflows.
Transforming Medical AI: Advancing Deep Learning for Precision Diagnosis & Image Segmentation
📍 College of Staten Island, CUNY, 2024

Presented TransNetR, SynergyNet, PP-SAM, diffusion models, and CirrMRI600+ in medical imaging applications.
Biopsy-Free Early Detection of Liver Diseases Using AI
📍 Northwestern University, Department of Radiology, 2023

Introduced CirrMRI600+, SynergyNet, and PVTFormer for liver disease segmentation and diagnosis.
The Future is Here: Deep Learning Algorithms Can Reduce the Miss-Rate in Colonoscopy
📍 MIPG Seminar Series 42 – Fall, University of Pennsylvania, 2022

Presented CNN and transformer models to reduce miss rates in colonoscopy using CADx/CADe systems.
Khwopa to Northwestern: My PhD Journey and Some Personal Reflections
📍 Khwopa Engineering College, Nepal, 2022

A reflection on academic journey from Nepal to the U.S., covering personal experiences and research impact.