Vajira Thambawita
Vajira Thambawita
PhD Student, SimulaMet, Norway
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
Kvasir-Capsule, a video capsule endoscopy dataset
PH Smedsrud, V Thambawita, SA Hicks, H Gjestang, OO Nedrejord, ...
Scientific Data 8 (1), 1-10, 2021
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
International Conference on Pattern Recognition, 263-274, 2021
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
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
Using Preprocessing as a Tool in Medical Image Detection.
M Kirkerød, V Thambawita, M Riegler, P Halvorsen
MediaEval, 2018
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
Explaining deep neural networks for knowledge discovery in electrocardiogram analysis
SA Hicks, JL Isaksen, V Thambawita, J Ghouse, G Ahlberg, A Linneberg, ...
Scientific reports 11 (1), 1-11, 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
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
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
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
Divergentnets: Medical image segmentation by network ensemble
V Thambawita, SA Hicks, P Halvorsen, MA Riegler
arXiv preprint arXiv:2107.00283, 2021
On evaluation metrics for medical applications of artificial intelligence
S Hicks, I Strüke, V Thambawita, M Hammou, P Halvorsen, M Riegler, ...
medRxiv, 2021
Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus
V Thambawita, S Hicks, P Halvorsen, MA Riegler
arXiv preprint arXiv:2012.07430, 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
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