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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, A. Rauniyar, H. D. Johansen, D. Johansen, M. Riegler, P. Halvorsen and U. Bagci

Video Analytics in Elite Soccer: A Distributed Computing Perspective

In IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM). Trondheim, Norway: IEEE, 2022.
Proceedings, refereed
2022
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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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A. Srivastava, S. Chanda, D. Jha, U. Pal and S. Ali

GMSRF-Net: An Improved generalizability with Global Multi-Scale Residual Fusion Network for Polyp Segmentation

In 26th International Conference on Pattern Recognition. IEEE, 2022.
Proceedings, refereed
2022
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2021

Proceedings, refereed

G. Ji, Y. Chou, D. Fan, G. Chen, H. Fu, D. Jha and L. Shao

Progressively Normalized Self-Attention Network for Video Polyp Segmentation

In Medical Image Computing and Computer Assisted Intervention (MICCAI 2021). Vol. LNCS, volume 12901. Springer, 2021.
Status: Published
A. Srivastava, S. Chanda, D. Jha, M. Riegler, P. Halvorsen, D. Johansen and U. Pal

PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation

In Proc. of 2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART). Paris / Créteil, France: IEEE, 2021.
Status: Published
N. K. Tomar, D. Jha, S. Ali, H. D. Johansen, D. Johansen, M. Riegler and P. Halvorsen

DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation

In 25th International Conference on Pattern Recognition. Springer, 2021.
Status: Published

Book chapters

I. Strümke, S. Hicks, V. Thambawita, D. Jha, S. Parasa, M. Riegler and P. Halvorsen

Artificial Intelligence in Gastroenterology

In Artificial Intelligence in Medicine, 1-20. Cham: Springer International Publishing, 2021.
Status: Published

Proceedings, non-refereed

N. KumarTomar, N. Ibtehaz, D. Jha, P. Halvorsen and S. Ali

Improving generalizibilty in polyp segmentation using ensemble convolutional neural network

In 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV2021). Vol. 2886. CEUR Workshop Proceedings, 2021.
Status: Published
S. Rauniyar, A. Srivastava, V. K. Jha, R. K. Jha, D. Jha and A. Rauniyar

Automated Polyp Segmentation in Colonoscopy using MSRFNet

In MediaEval medico . CEUR Workshop Proceedings, 2021.
Status: Published
2020

Journal articles

H. Borgli, V. Thambawita, P. H. Smedsrud, S. Hicks, D. Jha, S. L. Eskeland, K. R. Randel, K. Pogorelov, M. Lux, D. T. D. Nguyen et al.

HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

Scientific Data 7, no. 1 (2020): 1-14.
Status: Published
T. Roß, A. Reinke, P. M. Full, M. Wagner, H. Kenngott, M. Apitz, H. Hempe, D. M. Filimon, P. Scholz, T. N. Tran et al.

Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 challenge

Medical Image Analysis (2020).
Status: Published
V. Thambawita, D. Jha, H. L. Hammer, H. D. Johansen, D. Johansen, P. Halvorsen and M. Riegler

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 1 (2020): 1-29.
Status: Published

Proceedings, refereed

S. Hicks, D. Jha, V. Thambawita, P. Halvorsen, H. L. Hammer and M. Riegler

The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy

In 25th International Conference on Pattern Recognition (ICPR). IEEE, 2020.
Status: Published