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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 (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)
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)., 2021.
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 IEEE BHI. IEEE BHI, 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)
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
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)
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)
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)
O. A. N. Rongved, S. Hicks, V. Thambawita, H. K. Stensland, E. Zouganeli, D. Johansen, M. Riegler, and P. Halvorsen. Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks In 2020 IEEE International Symposium on Multimedia (ISM). IEEE, 2020.
2019
M. Jeppsson, H. Espeland, T. Kupka, R. Langseth, A. Petlund, P. Qiaoqiao, C. Xue, D. Johansen, K. Pogorelov, H. K. Stensland et al. "Efficient Live and On-Demand Tiled HEVC 360 VR Video Streaming." International Journal of Semantic Computing 13, no. 3 (2019): 367-391.
F. L. Henriksen, R. Jensen, H. K. Stensland, D. Johansen, M. Riegler, and P. Halvorsen. Performance of Data Enhancements and Training Optimization for Neural Network – A Polyp Detection Case Study In IEEE CBMS International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2019.PDF icon cbms2019.pdf (5.12 MB)
T. Wiik, H. D. Johansen, S. A. Pettersen, I. Baptista, T. Kupka, D. Johansen, M. Riegler, and P. Halvorsen. Predicting Peek Readiness-to-Train of Soccer Players Using Long Short-Term Memory Recurrent Neural Networks In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.PDF icon cbmi2019-pmsys.pdf (1.88 MB)
K. Andreassen, D. Johansen, H. Johansen, I. Baptista, S. A. Pettersen, M. Riegler, and P. Halvorsen. Real-time Analysis of Physical Performance Parameters in Elite Soccer In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.PDF icon cbmi2019-metrix.pdf (489.5 KB)
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)
A. Nordskog, P. Halvorsen, S. Hicks, H. K. Stensland, H. L. Hammer, D. Johansen, and M. Riegler. Semantic Analysis of Soccer News for Automatic Game Event Classification In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.PDF icon cbmi_2019_aanund_football_news.pdf (734.15 KB)