| 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), 1-14, 2020 | 30 | 2020 |
| To use or not to use: Graphics processing units (GPUs) for pattern matching algorithms V Thambawita, R Ragel, D Elkaduwe 7th International Conference on Information and Automation for …, 2014 | 20 | 2014 |
| 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), 1-10, 2019 | 14 | 2019 |
| 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 | 14 | 2018 |
| 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 | 13 | 2020 |
| 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 ICPR Workshops (8), 263-274, 2020 | 7 | 2020 |
| Using Preprocessing as a Tool in Medical Image Detection. M Kirkerød, V Thambawita, M Riegler, P Halvorsen MediaEval, 2018 | 7 | 2018 |
| ACM Multimedia BioMedia 2020 Grand Challenge Overview SA Hicks, V Thambawita, HL Hammer, TB Haugen, JM Andersen, ... Proceedings of the 28th ACM International Conference on Multimedia, 4655-4658, 2020 | 5 | 2020 |
| Kvasir-Capsule, a video capsule endoscopy dataset PH Smedsrud, HL Gjestang, OO Nedrejord, E Næss, V Thambawita, ... OSF Preprints, 2020 | 5 | 2020 |
| Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy D Jha, S Ali, K Emanuelsen, SA Hicks, V Thambawita, E Garcia-Ceja, ... International Conference on Multimedia Modeling, 218-229, 2021 | 4 | 2021 |
| Real-time detection of events in soccer videos using 3D convolutional neural networks OAN Rongved, SA Hicks, V Thambawita, HK Stensland, E Zouganeli, ... 2020 IEEE International Symposium on Multimedia (ISM), 135-144, 2020 | 4 | 2020 |
| Unsupervised preprocessing to improve generalisation for medical image classification M Kirkerød, RJ Borgli, V Thambawita, S Hicks, MA Riegler, P Halvorsen 2019 13th International Symposium on Medical Information and Communication …, 2019 | 4 | 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 | 3 | 2020 |
| Extracting temporal features into a spatial domain using autoencoders for sperm video analysis V Thambawita, P Halvorsen, H Hammer, M Riegler, TB Haugen arXiv preprint arXiv:1911.03100, 2019 | 2 | 2019 |
| An optimized Parallel Failure-less Aho-Corasick algorithm for DNA sequence matching D Thambawita, RG Ragel, D Elkaduwe 2016 IEEE International Conference on Information and Automation for …, 2016 | 2 | 2016 |
| To use or not to use: Graphics processing units for pattern matching algorithms V Thambawita, R Ragel, D Elkaduwe arXiv preprint arXiv:1412.7789, 2014 | 2 | 2014 |
| Explaining Deep Neural Networks for Knowledge Discovery in Electrocardiogram Analysis S Hicks, J Isaksen, V Thambawita, J Ghouse, G Ahlberg, A Linneberg, ... medRxiv, 2021.01. 06.20248927, 0 | 2 | |
| PSYKOSE: A Motor Activity Database of Patients with Schizophrenia P Jakobsen, E Garcia-Ceja, LA Stabell, KJ Oedegaard, JO Berle, ... 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems …, 2020 | 1 | 2020 |
| Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros H Svoren, V Thambawita, P Halvorsen, P Jakobsen, E Garcia-Ceja, ... Proceedings of the 11th ACM Multimedia Systems Conference, 309-314, 2020 | 1 | 2020 |
| Stacked dense optical flows and dropout layers to predict sperm motility and morphology V Thambawita, P Halvorsen, H Hammer, M Riegler, TB Haugen arXiv preprint arXiv:1911.03086, 2019 | 1 | 2019 |
Pål HalvorsenSimulaMet & Simula Research Laboratory & Oslo Metropolitan UniversityVerified email at simula.no
