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A. Storås, O. E. Andersen, S. Lockhart, R. Thielemann, F. Gnesin, V. Thambawita, S. Hicks, J. Kanters, I. Strümke, P. Halvorsen et al.

Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis

Diagnostics 13, no. 14 (2023).
Journal Article
2023
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M. Riegler, V. Thambawita, A. Chatterjee, T. Nguyen, S. Hicks, V. Telle-Hansen, S. A. Pettersen, D. Johansen, R. Jain and P. Halvorsen

ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset

In International Conference on Multimedia Modeling (MMM). Vol. 13833. Cham: Springer International Publishing, 2023.
Proceedings, refereed
2023
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T. Nguyen, A. Storås, V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler

Multimedia datasets: challenges and future possibilities

In International conference on multimedia modeling, 2023.
Proceedings, refereed
2023
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S. Hicks, J. M. Andersen, O. Witczak, V. Thambawita, P. Halvorsen, H. L. Hammer, T. B. Haugen and M. Riegler

Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction

Nature Scientific Reports 9, no. 1 (2019).
Journal Article
2019
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16 December 2021
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First PhD Graduate from Engineering Science at OsloMet and SimulaMet

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2023

Journal articles

A. Storås, O. E. Andersen, S. Lockhart, R. Thielemann, F. Gnesin, V. Thambawita, S. Hicks, J. Kanters, I. Strümke, P. Halvorsen et al.

Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis

Diagnostics 13, no. 14 (2023).
Status: Published

Proceedings, refereed

M. Riegler, V. Thambawita, A. Chatterjee, T. Nguyen, S. Hicks, V. Telle-Hansen, S. A. Pettersen, D. Johansen, R. Jain and P. Halvorsen

ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset

In International Conference on Multimedia Modeling (MMM). Vol. 13833. Cham: Springer International Publishing, 2023.
Status: Published
T. Nguyen, A. Storås, V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler

Multimedia datasets: challenges and future possibilities

In International conference on multimedia modeling, 2023.
Status: Published
2019

Journal articles

S. Hicks, J. M. Andersen, O. Witczak, V. Thambawita, P. Halvorsen, H. L. Hammer, T. B. Haugen and M. Riegler

Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction

Nature Scientific Reports 9, no. 1 (2019).
Status: Published

Proceedings, refereed

M. Kirkerød, R. Borgli, V. Thambawita, S. Hicks and M. Riegler

Unsupervised Preprocessing to Improve Generalisation for Medical Image Classification

In IEEE 13th International Symposium on Medical Information and Communication Technology (ISMICT). IEEE, 2019.
Status: Published
V. Thambawita, H. L. Hammer, M. Riegler and P. Halvorsen

GANEx: A complete pipeline of training, inference and benchmarking GAN experiments

In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.
Status: Published
V. Thambawita, P. Halvorsen, H. L. Hammer, M. Riegler and T. B. Haugen

Stacked dense optical flows and dropout layers to predict sperm motility and morphology

In MediaEval 2019, 27-29 October 2019, Sophia Antipolis, France, 2019.
Status: Published
V. Thambawita, P. Halvorsen, H. L. Hammer, M. Riegler and T. B. Haugen

Extracting temporal features into a spatial domain using autoencoders for sperm video analysis

In MediaEval 2019. CEUR Workshop Proceedings, 2019.
Status: Published
2018

Proceedings, refereed

M. Kirkerød, V. Thambawita, M. Riegler and P. Halvorsen

Using preprocessing as a tool in medical image detection

In MediaEval 2018. Nice, France: MediaEval, 2018.
Status: Published
V. Thambawita, D. Jha, M. Riegler, P. Halvorsen, H. L. Hammer, H. D. Johansen and D. Johansen

The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning

In MediaEval 2018. Nice, France: MediaEval, 2018.
Status: Published