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Debesh Jha,

Research Associate, Department of Radiology, Northwestern University

My core area of research is to develop a fully automated artificial intelligence system for endoscopic disease segmentation, detection, and localization.  I am very optimistic that the AI tool can act as a second pair of eyes for the endoscopist providing them with the opportunity to improve the quality of endoscopy and make better decisions. 

Recent News:

Awards and Honors

  • Received the first-ever Paper with Code contributor Award
  • CBMS 2020 Best Presentation Award Finalist
  • Best paper award at International Conference on Electronics, Information, and Communication (ICEIC 2018), Hawaii, USA.
  • Best Poster Presentation award at International Conference on Electronics, Information, and Communication (ICEIC 2018), Hawaii, USA.
  • Mahatma Gandhi Scholarship, Government of India (2006-2007).
  • Fully funded PhD Program at UiT The Arctic University of Norway
  • Fully Funded Master’s Degree program at Chosun University, Republic of Korea

Research Interest

  • Medical image analysis
  • Medical image segmentation
  • Deep learning
  • Gastrointestinal endoscopy & wireless capsule endosocpy
  • Radiation oncology
  • Polyp segmentation, detection, and localization
  • Surgical data science
  • Prostrate and lung caner segmentation
  • Robust and trustworthy AI systems
  • Ethical AI
  • Sport Analytics

Professional Activities

PC Member and reviewer







  • IEEE Transactions on Medical Imaging
  • IEEE Transactions on Neural Network and Learning Systems
  • Medical Image Analysis
  • Pattern Recognition
  • IEEE Journal of Biomedical and Health Informatics
  • Neurocomputing
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • Applied Soft Computing
  • Computers in Biology and Medicine
  • World Journal of Gastrointestinal Endoscopy
  • Artificial Intelligence In Medicine
  • Medical Physics
  • Diagnostics
  • Mathematical Biosciences and Engineering
  • Signal Processing: Image Communication
  • PLOS One
  • Digital Signal Processing
  • IET image Processing
  • IET computer vision
  • Electronics Letter
  • Frontiers in Artificial Intelligence
  • International Journal of imaging systems and technology


  • MICCAI Student Member
  • Norwegian COINS Research School of Computer and Information Security
  • Artificial intelligence Lab, Oslo Metropolitan University, Oslo, Norway
  • IEEE Student Member

I am open to collaboration related to my research topics. If you are interested in these topics, please feel free to contact me.