Søgeresultater - Debesh Jha

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  1. 1
    Diagnosis of Alzheimer’s Disease Using Dual-Tree Complex Wavelet Transform, PCA, and Feed-Forward Neural Network

    Diagnosis of Alzheimer’s Disease Using Dual-Tree Complex Wavelet Transform, PCA, and Feed-Forward Neural Network af Debesh Jha, Ji‐In Kim, Goo‐Rak Kwon

    Udgivet 2017
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  2. 2
    TGANet: Text-Guided Attention for Improved Polyp Segmentation

    TGANet: Text-Guided Attention for Improved Polyp Segmentation af Nikhil Kumar Tomar, Debesh Jha, Ulaş Bağcı, Sharib Ali

    Udgivet 2022
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  3. 3
    TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing

    TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing af Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulaş Bağcı

    Udgivet 2023
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  4. 4
    Meta-learning with implicit gradients in a few-shot setting for medical image segmentation

    Meta-learning with implicit gradients in a few-shot setting for medical image segmentation af Rabindra Khadka, Debesh Jha, Steven A. Hicks, Vajira Thambawita, Michael A. Riegler, Sharib Ali, Pål Halvorsen

    Udgivet 2022
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    Artigo
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  5. 5
    ResUNet++: An Advanced Architecture for Medical Image Segmentation

    ResUNet++: An Advanced Architecture for Medical Image Segmentation af Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Dag Johansen, Thomas de Lange, Pål Halvorsen, Håvard D. Johansen

    Udgivet 2019
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  6. 6
    A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation

    A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation af Debesh Jha, Pia H. Smedsrud, Dag Johansen, Thomas de Lange, Håvard D. Johansen, Pål Halvorsen, Michael A. Riegler

    Udgivet 2021
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  7. 7
    Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

    Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning af Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen

    Udgivet 2021
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  8. 8
    NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy

    NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy af Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen

    Udgivet 2021
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  9. 9
    A multi-centre polyp detection and segmentation dataset for generalisability assessment

    A multi-centre polyp detection and segmentation dataset for generalisability assessment af Sharib Ali, Debesh Jha, Noha Ghatwary, Stefano Realdon, Renato Cannizzaro, Osama E. Salem, Dominique Lamarque, Christian Daul, Michael A. Riegler, Kim Vidar Ånonsen, Andreas Petlund, Pål Halvorsen, Jens Rittscher, Thomas de Lange, James E. East

    Udgivet 2023
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  10. 10
    A Conceptual Framework for Applying Ethical Principles of AI to Medical Practice

    A Conceptual Framework for Applying Ethical Principles of AI to Medical Practice af Debesh Jha, Görkem Durak, Vanshali Sharma, Elif Keleş, Vedat Çiçek, Zheyuan Zhang, Abhishek Srivastava, Ashish Rauniyar, Desta Haileselassie Hagos, Nikhil Kumar Tomar, Frank H. Miller, Ahmet E. Topcu, Anis Yazidi, Jan Erik Håkegård, Ulaş Bağcı

    Udgivet 2025
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  11. 11
    HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

    HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy af Hanna Borgli, Vajira Thambawita, Pia H. Smedsrud, Steven A. Hicks, Debesh Jha, Sigrun Losada Eskeland, Kristin Ranheim Randel, Konstantin Pogorelov, Mathias Lux, Duc Tien Dang Nguyen, Dag Johansen, Carsten Griwodz, Håkon Kvale Stensland, Enrique Garcia-Ceja, Peter T. Schmidt, Hugo Lewi Hammer, Michael A. Riegler, Pål Halvorsen, Thomas de Lange

    Udgivet 2020
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  12. 12
    HyperKvasir, A Comprehensive Multi-Class Image and Video Dataset for Gastrointestinal Endoscopy

    HyperKvasir, A Comprehensive Multi-Class Image and Video Dataset for Gastrointestinal Endoscopy af Hanna Borgli, Vajira Thambawita, Pia H. Smedsrud, Steven A. Hicks, Debesh Jha, Sigrun Losada Eskeland, Kristin Ranheim Randel, Konstantin Pogorelov, Mathias Lux, Duc‐Tien Dang‐Nguyen, Dag Johansen, Carsten Griwodz, Haakon K. Stensland, Enrique Garcia-Ceja, Peter T. Schmidt, Hugo Lewi Hammer, Michael A. Riegler, Pål Halvorsen, Thomas de Lange

    Udgivet 2019
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  13. 13
    Kvasir-Capsule, a video capsule endoscopy dataset

    Kvasir-Capsule, a video capsule endoscopy dataset af Pia H. Smedsrud, Vajira Thambawita, Steven A. Hicks, Henrik L. Gjestang, Oda Olsen Nedrejord, Espen Næss, Hanna Borgli, Debesh Jha, Tor Jan Derek Berstad, Sigrun Losada Eskeland, Mathias Lux, Håvard Espeland, Andreas Petlund, Duc Tien Dang Nguyen, Enrique Garcia-Ceja, Dag Johansen, Peter T. Schmidt, Ervin Tóth, Hugo Lewi Hammer, Thomas de Lange, Michael A. Riegler, Pål Halvorsen

    Udgivet 2021
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    Artigo
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  14. 14
    A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging

    A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging af Debesh Jha, Sharib Ali, Steven A. Hicks, Vajira Thambawita, Hanna Borgli, Pia H. Smedsrud, Thomas de Lange, Konstantin Pogorelov, Xiaowei Wang, Philipp Harzig, Minh–Triet Tran, Wenhua Meng, Trung-Hiếu Hoàng, Danielle Dias, Tobey H. Ko, Taruna Agrawal, Olga Ostroukhova, Zeshan Khan, Muhammad Atif Tahir, Yang Liu, Yuan Chang, Mathias Kirkerød, Dag Johansen, Mathias Lux, Håvard D. Johansen, Michael A. Riegler, Pål Halvorsen

    Udgivet 2021
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  15. 15
    Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge

    Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge af Sharib Ali, Noha Ghatwary, Debesh Jha, Ece Isik-Polat, Görkem Polat, Yang Chen, Wuyang Li, Adrián Galdrán, Miguel-Ángel González Ballester, Vajira Thambawita, Steven A. Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, Chenghui Yu, Jiangpeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithami, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East

    Udgivet 2024
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    Artigo
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  16. 16
    Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge

    Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge af Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui‐Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo-Sánchez, Huabin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng‐Ann Heng, Enes Hosgor, Zeng‐Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtac, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus Maier‐Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Gutai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp‐Schneider, Beat P. Müller‐Stich, Lena Maier‐Hein

    Udgivet 2020
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