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2021
M. Riegler, M. H. Stensen, O. Witczak, J. M. Andersen, S. Hicks, H. L. Hammer, E. Delbarre, P. Halvorsen, A. Yazidi, N. Holst et al. "Artificial intelligence in the fertility clinic: status, pitfalls and possibilities." Human Reproduction 36, no. 9 (2021): 2429-2442.
T. B. Haugen, S. Hicks, O. Witczak, J. M. Andersen, L. Bjørndal, M. Riegler and M. H. Stensen. Assessment of sperm motility according to WHO classification using convolutional neural networks. ESHRE: ESHRE, 2021.
J. Valand, H. Kadragic, S. Hicks, V. Thambawita, C. Midoglu, T. Kupka, D. Johansen, M. Riegler and P. Halvorsen. Automated Clipping of Soccer Events using Machine Learning In IEEE International Symphosium of Multimedia (ISM). IEEE, 2021.
O. A. N. Rongved, M. Stige, S. Hicks, V. Thambawita, C. Midoglu, E. Zouganeli, D. Johansen, M. Riegler and P. Halvorsen. "Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities." Machine Learning and Knowledge Extraction 3, no. 4 (2021): 1030-1054.
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)
V. Thambawita, I. Strümke, S. Hicks, M. Riegler, P. Halvorsen and S. Parasa. Data Augmentation Using Generative Adversarial Networks For Creating Realistic Artificial Colon Polyp Images In DDW 2021., 2021.
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)
J. K. Kanters, S. Hicks, J. L. Isaksen, N. Grarup, N. H. Rathlou, J. Ghouse, G. Ahlberg, M. S. Olesen, A. Linneberg, C. Ellervik et al. "Deep learning neural network can measure ECG intervals and amplitudes accurately." Journal of Electrocardiology 69 (2021): 82.
V. Thambawita, J. L. Isaksen, S. Hicks, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, C. Ellervik, M. S. Olesen, T. Hansen et al. "DeepFake electrocardiograms: the key for open science for artificial intelligence in medicine." Scientific Reports (2021).
V. Thambawita, J. L. Isaksen, S. Hicks, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, C. Ellervik, M. S. Olesen, T. Hansen et al. "DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine." Nature Scientific Reports 11 (2021): 21896.PDF icon s41598-021-01295-2.pdf (1.8 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.
V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler. DivergentNets: Medical Image Segmentation by Network Ensemble In EndoCV., 2021.
T. S. Nordmo, A. B. Ovesen, H. D. Johansen, M. Riegler, P. Halvorsen and D. Johansen. Dutkat: A Multimedia System for Catching Illegal Catchers in a Privacy-Preserving Manner In Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR'21), Edited by M. Dao, D. Dang-Nguyen and M. Riegler. New York, NY, USA: ACM, 2021.
T. S. Nordmo, A. B. Ovesen, H. D. Johansen, M. Riegler, P. Halvorsen and D. Johansen. Dutkat: A Multimedia System for Catching Illegal Catchers in a Privacy-Preserving Manner In Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR'21), Edited by M. Dao, D. Dang-Nguyen and M. Riegler. New York, NY, USA: ACM, 2021.
S. Hicks, J. L. Isaksen, V. Thambawita, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, I. Strümke, C. Ellervik, M. S. Olesen et al. "Explaining deep neural networks for knowledge discovery in electrocardiogram analysis." Scientific Reports 11 (2021): 10949.
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.
A. B. Ovesen, T. S. Nordmo, H. D. Johansen, M. Riegler, P. Halvorsen and D. Johansen. "File System Support for Privacy-Preserving Analysis and Forensics in Low-Bandwidth Edge Environments." Information 12, no. 10 (2021): 430.
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)
S. Hicks, A. Stautland, O. B. Fasmer, W. Frøland, H. L. Hammer, P. Halvorsen, K. Mjeldheim, K. J. Oedegaard, B. Osnes, V. E. G. Syrstad et al. HYPERAKTIV: An Activity Dataset from Patients with Attention-Deficit/Hyperactivity Disorder (ADHD) In Proceedings of the 12th ACM Multimedia Systems Conference (MMSys '21). ACM, 2021.PDF icon 3458305.3478454.pdf (546.98 KB)
V. Thambawita, T. B. Haugen, M. Stensen, O. Witczak, H. L. Hammer, P. Halvorsen and M. Riegler. Identification of spermatozoa by unsupervised learning from video data In 37th Virtual Annual Meeting of the European Society of Human Reproduction and Embryology (ESHRE). Oxford University Press, 2021.
V. Thambawita, S. Hicks, I. Strümke, M. Riegler, P. Halvorsen and S. Parasa. Impact of Image Resolution on Convolutional Neural Networks Performance in Gastrointestinal Endoscopy In DDW 2021., 2021.
V. Thambawita, I. Strümke, S. Hicks, P. Halvorsen, S. Parasa and M. Riegler. "Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images." Diagnostics 11, no. 12 (2021).PDF icon diagnostics-11-02183_1.pdf (3.38 MB)
A. S. K. Bekkelund, H. Lovett, T. Tennøe, D. Nassehi, H. M. Brøgger, M. Riegler, E. Fosse and S. Madsen. KUNSTIG INTELLIGENS I KLINIKKEN - Seks trender for fremtidens helsetjeneste. Oslo, Norway: Teknologiradet, 2021.PDF icon kunstig-intelligens-i-klinikken.pdf (2.04 MB)
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.

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