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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.PDF icon 2.pdf (3.22 MB)
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.PDF icon endotect_segmentation_debesh.pdf (4.12 MB)
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.
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.
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.PDF icon mmm.pdf (648.64 KB)
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.PDF icon 412100a037.pdf (789.29 KB)
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.PDF icon 09369308.pdf (2.6 MB)