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Filters: 1 is biblio_type:PhD Thesis and Author is Håvard D. Johansen  [Reset Search]
2021
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)
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.PDF icon 09314114.pdf (6.16 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)
V. Thambawita, S. Hicks, J. Isaksen, M. H. Stensen, T. B. Haugen, J. Kanters, S. Parasa, T. de Lange, H. D. Johansen, D. Johansen et al. DeepSynthBody: the beginning of the end for data deficiency in medicine In The International Conference on Applied Artificial Intelligence (ICAPAI). IEEE, 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)
2020
D. Jha, P. H. Smedsrud, M. Riegler, P. Halvorsen, H. D. Johansen, T. de Lange and D. Johansen. Kvasir-SEG: A Segmented Polyp Dataset In International Conference on Multimedia Modeling. Daejeon, Korea: Springer, 2020.PDF icon mmm_2020_kvasir_seg_debesh.pdf (4.04 MB)
D. Jha, A. Yazidi, M. Riegler, D. Johansen, H. D. Johansen and P. Halvorsen. LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification In The Joint International Conference PDCAT-PAAP 2020. Springer, 2020.PDF icon pdcat_paap_springer_debesh.pdf (288.65 KB)
D. Jha, S. Hicks, K. Emanuelsen, H. D. Johansen, D. Johansen, T. de Lange, M. Riegler and P. Halvorsen. Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation In Medico MediaEval 2020. CEUR, 2020.PDF icon 2020_automatic_polyp_segmentation_challenge_debesh.pdf (1.49 MB)
2018
V. Thambawita, D. Jha, M. Riegler, P. Halvorsen, H. L. Hammer, H. D. Johansen and D. Johansen. The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning In MediaEval 2018. Nice, France: MediaEval, 2018.PDF icon mediaeval_team_dv_10.pdf (374.73 KB)