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Vajira Thambawita
Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus

Dec 14, 2020
Vajira Thambawita, Steven Hicks, PÃ¥l Halvorsen, Michael A. Riegler


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An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification

May 08, 2020
Vajira Thambawita, Debesh Jha, Hugo Lewi Hammer, HÃ¥vard D. Johansen, Dag Johansen, PÃ¥l Halvorsen, Michael A. Riegler

* 30 pages, 12 figures, 8 tables, Accepted for ACM Transactions on Computing for Healthcare 
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Extracting temporal features into a spatial domain using autoencoders for sperm video analysis

Nov 08, 2019
Vajira Thambawita, PÃ¥l Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen

* 3 pages, 1 figure, MediaEval 19, 27-29 October 2019, Sophia Antipolis, France 
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Stacked dense optical flows and dropout layers to predict sperm motility and morphology

Nov 08, 2019
Vajira Thambawita, PÃ¥l Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen

* 3 pages, 2 figures, MediaEval 19, 27-29 October 2019, Sophia Antipolis, France 
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Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction

Oct 29, 2019
Steven A. Hicks, Jorunn M. Andersen, Oliwia Witczak, Vajira Thambawita, PÃ¥ll Halvorsen, Hugo L. Hammer, Trine B. Haugen, Michael A. Riegler

* Preprint, accepted by Nature Scientific Reports for publication 24.10.2019 
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The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning

Oct 31, 2018
Vajira Thambawita, Debesh Jha, Michael Riegler, PÃ¥l Halvorsen, Hugo Lewi Hammer, HÃ¥vard D. Johansen, Dag Johansen

* MediaEval 2018 
 * 2 pages + 1 page for references, 1 figure, Conference paper 
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