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2021
S. Alam, N. K. Tomar, A. Thakur, D. Jha, and A. Rauniyar. Automatic Polyp Segmentation using U-Net-ResNet50 In Medico MediaEval 2020. MediaEval 2020, 2021.PDF icon debesh_medico_2020.pdf (375.53 KB)
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 (2021).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 (2021).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)
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.PDF icon mmm_2021_dataset_htad.pdf (637.46 KB)
N. KumarTomar, N. Ibtehaz, D. Jha, P. Halvorsen, and S. Ali. Improving generalizibilty in polyp segmentation using ensemble convolutional neural network In Endocv2021 (ISBI)., 2021.
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).
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. MMM 2021, 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)
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 MICCAI 2021. Springer, 2021.
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 (2021).PDF icon 09369308.pdf (2.6 MB)
2020
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).PDF icon 1.pdf (6.18 MB)
D. Jha, M. Riegler, D. Johansen, P. Halvorsen, and H. D. Johansen. DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation In CBMS 2020: International Symposium on Computer-Based Medical Systems. IEEE, 2020.PDF icon 09183321_1.pdf (1.15 MB)
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.
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.PDF icon 3386295.pdf (8.11 MB)
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.PDF icon nature_scientific_data_hyper_kvasir_revision.pdf (6.09 MB)
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)
V. Thambawita, S. Hicks, H. Borgli, H. K. Stensland, D. Jha, M. K. Svensen, S. Pettersen, D. Johansen, H. D. Johansen, S. D. Pettersen et al. PMData: a sports logging dataset In Proceedings of the 11th ACM Multimedia Systems Conference. ACM, 2020.PDF icon 3339825.3394926.pdf (23.99 MB)
2019
D. Jha, P. H. Smedsrud, M. Riegler, D. Johansen, T. de Lange, P. Halvorsen, and H. D. Johansen. ResUNet++: An Advanced Architecture for Medical Image Segmentation In 2019 IEEE International Symposium on Multimedia (ISM). San Diego, California, USA: IEEE, 2019.PDF icon resunet_accepted_debesh.pdf (1.01 MB)