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Most recent publications

S. Ali, D. Jha, N. Ghatwary, S. Realdon, R. Cannizzaro, O. E. Salem, D. Lamarque, C. Daul, K. V. Anonsen, M. Riegler et al.

A multi-center polyp detection and segmentation dataset for generalisability assessment

Nature Scientific Data 10 (2023).
Journal Article
2023
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D. Jha

Machine Learning-based Classification, Detection, and Segmentation of Medical Images

In UiT The Arctic University of Norway. Vol. PhD, 2022.
PhD Thesis
2022
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N. K. Tomar, D. Jha, M. Riegler, H. D. Johansen, D. Johansen, J. Rittscher, P. Halvorsen and S. Ali

FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation

IEEE Transactions on Neural Networks and Learning Systems (2022): 1-14.
Journal Article
2022
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R. Khadka, D. Jha, S. Hicks, V. Thambawita, M. Riegler, S. Ali and P. Halvorsen

Meta-learning with implicit gradients in a few-shot setting for medical image segmentation

Computers in Biology and Medicine 143 (2022): 105227.
Journal Article
2022
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News

19 January 2022

Debesh Jha successfully defended his thesis

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Export 15 results:
2023

Journal articles

S. Ali, D. Jha, N. Ghatwary, S. Realdon, R. Cannizzaro, O. E. Salem, D. Lamarque, C. Daul, K. V. Anonsen, M. Riegler et al.

A multi-center polyp detection and segmentation dataset for generalisability assessment

Nature Scientific Data 10 (2023).
Status: Published
2022

Journal articles

R. Khadka, D. Jha, S. Hicks, V. Thambawita, M. Riegler, S. Ali and P. Halvorsen

Meta-learning with implicit gradients in a few-shot setting for medical image segmentation

Computers in Biology and Medicine 143 (2022): 105227.
Status: Published
A. Srivastava, D. Jha, S. Chanda, U. Pal, H. Johansen, D. Johansen, M. Riegler, S. Ali and P. Halvorsen

MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation

IEEE Journal of Biomedical and Health Informatics 26, no. 5 (2022): 2252-2263.
Status: Published
N. K. Tomar, D. Jha, M. Riegler, H. D. Johansen, D. Johansen, J. Rittscher, P. Halvorsen and S. Ali

FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation

IEEE Transactions on Neural Networks and Learning Systems (2022): 1-14.
Status: Published

PhD theses

D. Jha

Machine Learning-based Classification, Detection, and Segmentation of Medical Images

In UiT The Arctic University of Norway. Vol. PhD, 2022.
Status: Published
2021

Journal articles

S. Hicks, D. Jha, V. Thambawita, P. Halvorsen, B. Singstad, S. Gaur, K. Pettersen, M. Goodwin, S. Parasa, T. de Lange et al.

MedAI: Transparency in Medical Image Segmentation

Nordic Machine Intelligence 1, no. 1 (2021): 1-4.
Status: Published
D. Jha, S. Ali, N. K. Tomar, H. D. Johansen, D. Johansen, J. Rittscher, M. Riegler and P. Halvorsen

Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

IEEE Access 9 (2021): 40496-40510.
Status: Published
D. Jha, S. Ali, S. Hicks, V. Thambawita, H. Borgli, P. H. Smedsrud, T. de Lange, K. Pogorelov, X. Wang, P. Harzig et al.

A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging

Medical Image Analysis 70 (2021): 102007.
Status: Published
D. Jha, P. H. Smedsrud, D. Johansen, T. de Lange, H. D. Johansen, P. Halvorsen and M. Riegler

A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation

IEEE Journal of Biomedical and Health Informatics 25, no. 6 (2021): 2029-2040.
Status: Published
S. Rauniyar, V. K. Jha, R. K. Jha, D. Jha and A. Rauniyar

Improving Polyp Segmentation in Colonoscopy using Deep Learning

Nordic Machine Intelligence 1, no. 1 (2021): 35-37.
Status: Published