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Department of Computer Science djh000@post.uit.no Tromsø

Debesh Jha

  • Debesh Jha, Gorkem Durak, Abhijit Das, Jasmer Sanjotra, Onkar Susladkar, Suramyaa Sarkar et al.:
    Ethical framework for responsible foundational models in medical imaging
    Frontiers in Medicine 19. May 2025 DOI / ARKIV
  • Debesh Jha, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Hicks et al.:
    Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges
    Medical Image Analysis 2025 DOI / ARKIV / ARKIV / ARKIV
  • Debesh Jha, Gorkem Durak, Vanshali Sharma, Elif Keles, Vedat Cicek, Zheyuan Zhang et al.:
    A Conceptual Framework for Applying Ethical Principles of AI to Medical Practice
    Bioengineering 2025 DOI / ARKIV
  • Sharib Ali, Noha Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Cheng Yang et al.:
    Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
    Scientific Reports 2024 DOI / ARKIV / ARKIV
  • Debesh Jha, Vanshali Sharma, Neethi Dash, Nikhil Kumar Tomar, Steven A. Hicks, M.K. Bhuyan et al.:
    GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection
    2023 DOI / ARKIV
  • Sharib Ali, Debesh Jha, Noha Ghatwary, Stefano Realdon, Renato Cannizzaro, Osama E. Salem et al.:
    A multi-centre polyp detection and segmentation dataset for generalisability assessment
    Scientific Data 2023 DOI / ARKIV / ARKIV
  • Debesh Jha, Ashish Rauniyar, Håvard D. Johansen, Dag Johansen, Michael Alexander Riegler, Pål Halvorsen et al.:
    Video Analytics in Elite Soccer: A Distributed Computing Perspective
    Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop 2022 DOI / ARKIV / ARKIV
  • Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård :
    COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics
    Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop 2022 DOI / ARKIV
  • Nikhil Kumar Tomar, Debesh Jha, Michael Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher et al.:
    FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
    IEEE Transactions on Neural Networks and Learning Systems 2022 DOI / ARKIV
  • Rabindra Khadka, Debesh Jha, Steven Hicks, Vajira L B Thambawita, Michael Riegler, Sharib Ali et al.:
    Meta-learning with implicit gradients in a few-shot setting for medical image segmentation
    Computers in Biology and Medicine 2022 DOI / ARKIV / ARKIV
  • Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Michael Alexander Riegler, Dag Johansen, Håvard D. Johansen et al.:
    Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy
    2021 DOI / ARKIV
  • Abhishek Srivastava, Sukalpa Chanda, Debesh Jha, Michael Riegler, Pål Halvorsen, Dag Johansen et al.:
    PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation
    2021 DOI / ARKIV
  • Debesh Jha, Pia Smedsrud, Dag Johansen, Thomas de Lange, Håvard D. Johansen, Pål Halvorsen et al.:
    A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation
    IEEE Journal of Biomedical and Health Informatics 2021 DOI / ARKIV / ARKIV / ARKIV
  • Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael Riegler et al.:
    DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
    2021 DOI / ARKIV
  • Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, Håvard D. Johansen, Dag Johansen et al.:
    MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
    IEEE Journal of Biomedical and Health Informatics 2021 DOI / ARKIV / ARKIV / ARKIV
  • Saurab Rauniyar, Vabesh Kumar Jha, Ritika Kumari Jha, Debesh Jha, Ashish Rauniyar :
    Improving Polyp Segmentation in Colonoscopy using Deep Learning
    Nordic Machine Intelligence (NMI) 2021 DOI / ARKIV
  • Inga Strumke, Steven Hicks, Vajira L B Thambawita, Debesh Jha, Sravanthi Parasa, Michael Alexander Riegler et al.:
    Artificial Intelligence in Gastroenterology
    2021 DOI / ARKIV
  • Debesh Jha, Sharib Ali, Steven Hicks, Vajira L B Thambawita, Hanna Borgli, Pia Smedsrud et al.:
    A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging
    Medical Image Analysis 2021 DOI / ARKIV / ARKIV / ARKIV
  • Enrique Garcia-Ceja, Vajira L B Thambawita, Steven Hicks, Debesh Jha, Petter Jakobsen, Hugo Lewi Hammer et al.:
    HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features
    Lecture Notes in Computer Science (LNCS) 2021 DOI / ARKIV / ARKIV
  • Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Håvard D. Johansen, Dag Johansen, Jens Rittscher et al.:
    Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning
    IEEE Access 2021 DOI / ARKIV / ARKIV / ARKIV / ARKIV
  • Pia Smedsrud, Vajira L B Thambawita, Steven Hicks, Henrik Gjestang, Oda Olsen Nedrejord, Espen Næss et al.:
    Kvasir-Capsule, a video capsule endoscopy dataset
    Scientific Data 2021 DOI / ARKIV / ARKIV / ARKIV / ARKIV
  • Debesh Jha, Anis Yazidi, Michael Alexander Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen :
    LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification
    2021 DOI / ARKIV / ARKIV
  • Debesh Jha, Sharib Ali, Krister Emanuelsen, Steven Hicks, Vajira L B Thambawita, Enrique Garcia-Ceja et al.:
    Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy
    2021 DOI / ARKIV
  • Vajira Lasantha Bandara Thambawita, Debesh Jha, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen, Pål Halvorsen et al.:
    An extensive study on cross-dataset bias and evaluation metrics interpretation for machine learning applied to gastrointestinal tract abnormality classification
    ACM Transactions on Computing for Healthcare (HEALTH) 22. June 2020 DOI / ARKIV
  • Debesh Jha, Steven Hicks, Krister Emanuelsen, Håvard D. Johansen, Dag Johansen, Thomas de Lange et al.:
    Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation
    2020 ARKIV
  • Tobias Ross, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz et al.:
    Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 challenge
    Medical Image Analysis 2020 DOI / ARKIV
  • Vajira Lasantha Bandara Thambawita, Steven Hicks, Hanna Borglia, Håkon Kvale Stensland, Debesh Jha, Martin Kristoffer Svensen et al.:
    PMData: a sports logging dataset
    2020 DOI / ARKIV / ARKIV
  • Debesh Jha, Michael Alexander Riegler, Dag Johansen, Pål Halvorsen, Håvard D. Johansen :
    DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation
    IEEE International Symposium on Computer-Based Medical Systems 2020 DOI / ARKIV / ARKIV
  • Hanna Borgli, Vajira Lasantha Bandara Thambawita, Pia Smedsrud, Steven Hicks, Debesh Jha, Sigrun Losada Eskeland et al.:
    HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy
    Scientific Data 2020 DOI / ARKIV / ARKIV / ARKIV / ARKIV / ARKIV
  • Debesh Jha, Pia Smedsrud, Michael Riegler, Pål Halvorsen, Thomas de Lange, Dag Johansen et al.:
    Kvasir-SEG: A segmented polyp dataset
    Lecture Notes in Computer Science (LNCS) 2020 DOI / ARKIV / ARKIV / ARKIV / ARKIV
  • Debesh Jha, Pia Smedsrud, Michael Riegler, Dag Johansen, Thomas de Lange, Pål Halvorsen et al.:
    ResUNet++: An Advanced Architecture for Medical Image Segmentation
    2019 DOI / ARKIV
  • Sharib Ali, Noha Ghatwary, Debesh Jha, Pål Halvorsen :
    Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021)
    Ceur 2021 ARKIV
  • Steven Hicks, Debesh Jha, Konstantin Pogorelov, Alba Garcia Seco de Herrera, Dmitry Bogdanov, Pierre-Etienne Martin et al.:
    Working Notes Proceedings of the MediaEval 2020 Workshop
    CEUR 2020 ARKIV
  • Debesh Jha, Håvard D. Johansen :
    Machine Learning-based Classification, Detection, and Segmentation of Medical Images
    UiT Norges arktiske universitet 21. January 2022 ARKIV
  • Abhishek Srivastava, Sukalpa Chanda, Debesh Jha, Umapada Pal, Sharib Ali :
    GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation
    2022 ARKIV
  • Steven A. Hicks, Debesh Jha, Vajira L B Thambawita, Hugo Lewi Hammer, Thomas de Lange, Sravanthi Parasa et al.:
    Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation
    2021 ARKIV
  • Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael Riegler et al.:
    DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
    2021 ARKIV
  • Saurab Rauniyar, Vabesh Kumar Jha, Ritika Kumari Jha, Debesh Jha, Ashish Rauniyar, Abhishek Srivastava :
    Automated Polyp Segmentation in Colonoscopy using MSRFNet
    2021 ARKIV
  • Abhishek Srivastava, Sukalpa Chanda, Debesh Jha, Michael Riegler, Pål Halvorsen, Dag Johansen et al.:
    PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation
    2021 ARKIV
  • Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Thomas de Lange et al.:
    NanoNet: Real-Time Polyp Segmentation in VideoCapsule Endoscopy and Colonoscopy
    2021 ARKIV
  • Nikhil Kumar Tomar, Nabil Ibtehaz, Debesh Jha, Pål Halvorsen, Sharib Ali :
    Improving generalizability in polyp segmentation using ensemble convolutional neural network
    2021 ARKIV
  • Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen, Huazhu Fu, Debesh Jha et al.:
    Progressively Normalized Self-Attention Network for Video Polyp Segmentation
    2021 ARKIV
  • Debesh Jha, Sharib Ali, Krister Emanuelsen, Steven Hicks, Vajira L B Thambawita, Enrique Garcia-Ceja et al.:
    Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy
    2021 ARKIV
  • Inga Strumke, Steven Hicks, Vajira L B Thambawita, Debesh Jha, Sravanthi Parasa, Michael Alexander Riegler et al.:
    Artificial Intelligence in Gastroenterology
    2021 DOI / ARKIV
  • Steven Hicks, Debesh Jha, Vajira L B Thambawita, Pål Halvorsen, Bjørn Jostein Singstad, Sachin Gaur et al.:
    MedAI: Transparency in Medical Image Segmentation
    Nordic Machine Intelligence (NMI) 2021 DOI / ARKIV
  • Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Håvard D. Johansen, Dag Johansen, Michael Riegler et al.:
    Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy
    2021 ARKIV / FULLTEKST
  • Debesh Jha, Smedsrud Pia H, Michael Riegler, Pål Halvorsen, Thomas de Lange, Dag Johansen et al.:
    Kvasir-SEG: A Segmented Polyp Dataset
    2020 ARKIV
  • Debesh Jha, Anis Yazidi, Michael Alexander Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen :
    LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification
    2020 ARKIV
  • Debesh Jha, Pia Smedsrud, Michael Riegler, Dag Johansen, Thomas de Lange, Pål Halvorsen et al.:
    ResUNet++: An Advanced Architecture for Medical Image Segmentation
    2019 ARKIV
  • Vajira Thambawita, Debesh Jha, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer, Håvard D. Johansen et al.:
    The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning
    MediaEval 2018, arXiv:1810.13278, Cornell University 2018 ARKIV

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