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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

Journal articles

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
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
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
P. H. Smedsrud, V. Thambawita, S. Hicks, H. Gjestang, O. O. Nedrejord, E. Næss, H. Borgli, D. Jha, T. J. D. Berstad, S. L. Eskeland et al.

Kvasir-Capsule, a video capsule endoscopy dataset

Scientific Data 8, no. 1 (2021): 142.
Status: Published

Proceedings, refereed

S. Alam, N. K. Tomar, A. Thakur, D. Jha and A. Rauniyar

Automatic Polyp Segmentation using U-Net-ResNet50

In Medico MediaEval 2020. MediaEval, 2021.
Status: Published
E. Garcia-Ceja, V. Thambawita, S. Hicks, D. Jha, P. Jakobsen, H. L. Hammer, P. Halvorsen and M. Riegler

HTAD: A Home-Tasks Activities Dataset with Wrist-accelerometer and Audio Features

In 27th International Conference on Multimedia Modeling. Springer, 2021.
Status: Published
S. Hicks, D. Jha, V. Thambawita, H. L. Hammer, T. de Lange, S. Parasa, M. Riegler and P. Halvorsen

Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation

In Mediaeval Medico 2021. Mediaeval 2021, 2021.
Status: Published
D. Jha, S. Ali, N. K. Tomar, M. Riegler, D. Johansen, H. D. Johansen and P. Halvorsen

Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy

In 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 2021.
Status: Published
D. Jha, S. Ali, K. Emanuelsen, S. Hicks, V. Thambawita, E. Garcia-Ceja, M. Riegler, T. de Lange, P. T. Schmidt, H. D. Johansen et al.

Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy

In 27th International Conference on Multimedia Modeling. Vol. LNCS, volume 12573. Springer, 2021.
Status: Published
D. Jha, N. K. Tomar, S. Ali, M. Riegler, H. D. Johansen, D. Johansen, T. de Lange and P. Halvorsen

NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy

In 34th IEEE CBMS International Symposium on Computer-Based Medical Systems. IEEE, 2021.
Status: Published