| HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy H Borgli, V Thambawita, PH Smedsrud, S Hicks, D Jha, SL Eskeland, ... Scientific data 7 (1), 283, 2020 | 356 | 2020 |
| Kvasir-Capsule, a video capsule endoscopy dataset PH Smedsrud, V Thambawita, SA Hicks, H Gjestang, OO Nedrejord, ... Scientific Data 8 (1), 142, 2021 | 163 | 2021 |
| Automatic detection of hateful comments in online discussion HL Hammer Industrial Networks and Intelligent Systems: Second International Conference …, 2017 | 83 | 2017 |
| SinGAN-Seg: Synthetic training data generation for medical image segmentation V Thambawita, P Salehi, SA Sheshkal, SA Hicks, HL Hammer, S Parasa, ... PloS one 17 (5), e0267976, 2022 | 76 | 2022 |
| Machine learning-based analysis of sperm videos and participant data for male fertility prediction SA Hicks, JM Andersen, O Witczak, V Thambawita, P Halvorsen, ... Scientific reports 9 (1), 16770, 2019 | 74 | 2019 |
| DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine V Thambawita, JL Isaksen, SA Hicks, J Ghouse, G Ahlberg, A Linneberg, ... Scientific reports 11 (1), 21896, 2021 | 68 | 2021 |
| An extensive study on cross-dataset bias and evaluation metrics interpretation for machine learning applied to gastrointestinal tract abnormality classification V Thambawita, D Jha, HL Hammer, HD Johansen, D Johansen, ... ACM Transactions on Computing for Healthcare 1 (3), 1-29, 2020 | 59 | 2020 |
| Visem: A multimodal video dataset of human spermatozoa TB Haugen, SA Hicks, JM Andersen, O Witczak, HL Hammer, R Borgli, ... Proceedings of the 10th ACM Multimedia Systems Conference, 261-266, 2019 | 55 | 2019 |
| Pmdata: a sports logging dataset V Thambawita, SA Hicks, H Borgli, HK Stensland, D Jha, MK Svensen, ... Proceedings of the 11th ACM Multimedia Systems Conference, 231-236, 2020 | 54 | 2020 |
| Artificial intelligence in the fertility clinic: status, pitfalls and possibilities MA Riegler, MH Stensen, O Witczak, JM Andersen, SA Hicks, HL Hammer, ... Human Reproduction 36 (9), 2429-2442, 2021 | 52 | 2021 |
| Artificial intelligence in dry eye disease AM Storås, I Strümke, MA Riegler, J Grauslund, HL Hammer, A Yazidi, ... The ocular surface 23, 74-86, 2022 | 44 | 2022 |
| The medico-task 2018: Disease detection in the gastrointestinal tract using global features and deep learning V Thambawita, D Jha, M Riegler, P Halvorsen, HL Hammer, ... arXiv preprint arXiv:1810.13278, 2018 | 36 | 2018 |
| The EndoTect 2020 challenge: evaluation and comparison of classification, segmentation and inference time for endoscopy SA Hicks, D Jha, V Thambawita, P Halvorsen, HL Hammer, MA Riegler Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 35 | 2021 |
| Constructing sentiment lexicons in Norwegian from a large text corpus A Bai, H Hammer, A Yazidi, P Engelstad 2014 IEEE 17th international conference on computational science and …, 2014 | 31 | 2014 |
| Multiplicative update methods for incremental quantile estimation A Yazidi, H Hammer IEEE transactions on cybernetics 49 (3), 746-756, 2017 | 29 | 2017 |
| Bayesian lithology/fluid inversion—Comparison of two algorithms M Ulvmoen, H Hammer Computational Geosciences 14, 357-367, 2010 | 29 | 2010 |
| Threat detection in online discussions A Wester, L Øvrelid, E Velldal, HL Hammer Proceedings of the 7th Workshop on Computational Approaches to Subjectivity …, 2016 | 28 | 2016 |
| Lithology and fluid prediction from prestack seismic data using a Bayesian model with Markov process prior H Hammer, O Kolbjørnsen, H Tjelmeland, A Buland Geophysical Prospecting 60 (3), 500-515, 2012 | 27 | 2012 |
| Control variates for the Metropolis–Hastings algorithm H Hammer, H Tjelmeland Scandinavian Journal of Statistics 35 (3), 400-414, 2008 | 26 | 2008 |
| Why students plagiarise from the internet: The views and practices in three Norwegian upper secondary classrooms H Skaar, H Hammer University of South Australia, 2013 | 25 | 2013 |
