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S. Z. Hassan, K. Ahmad, M. Riegler, S. Hicks, N. Conci, P. Halvorsen and A. Al-Fuqaha

Visual Sentiment Analysis: A Natural Disaster Use-case Task at MediaEval 2021

In MediaEval 2021. Ceurws, 2021.
Proceedings, refereed
2021
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S. Hicks, D. Jha, V. Thambawita, H. L. Hammer, T. de Lange, S. Parasa, M. Riegler and P. Halvorsen

Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation

In Mediaeval Medico 2021. Mediaeval 2021, 2021.
Proceedings, refereed
2021
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A. H. M. Ahmed, S. Hicks, M. Riegler and A. Elmokashfi

Predicting High Delays in Mobile Broadband Networks

IEEE Access 9 (2021): 168999-169013.
Journal Article
2021
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H. T. Shen, Y. Zhuang, J. R. Smith, Y. Yang, P. Cesar, F. Metze, B. Prabhakaran, J. Korhonen, Y. Su, J. You et al.

Reproducibility Companion Paper: Blind Natural Video Quality Prediction via Statistical Temporal Features and Deep Spatial Features

In Proceedings of the 29th ACM International Conference on Multimedia (MM '21). New York, NY, USA: ACM, 2021.
Proceedings, refereed
2021
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2021

Proceedings, refereed

H. T. Shen, Y. Zhuang, J. R. Smith, Y. Yang, P. Cesar, F. Metze, B. Prabhakaran, L. Tao, X. Wang, T. Yamasaki et al.

Reproducibility Companion Paper: Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework

In Proceedings of the 29th ACM International Conference on Multimedia (MM '21). New York, NY, USA: ACM, 2021.
Status: Published
H. T. Shen, Y. Zhuang, J. R. Smith, Y. Yang, P. Cesar, F. Metze, B. Prabhakaran, J. Korhonen, Y. Su, J. You et al.

Reproducibility Companion Paper: Blind Natural Video Quality Prediction via Statistical Temporal Features and Deep Spatial Features

In Proceedings of the 29th ACM International Conference on Multimedia (MM '21). New York, NY, USA: ACM, 2021.
Status: Published
V. Thambawita, I. Strümke, S. Hicks, M. Riegler, P. Halvorsen and S. Parasa

Data Augmentation Using Generative Adversarial Networks For Creating Realistic Artificial Colon Polyp Images

In DDW 2021, 2021.
Status: Published
V. Thambawita, S. Hicks, I. Strümke, M. Riegler, P. Halvorsen and S. Parasa

Impact of Image Resolution on Convolutional Neural Networks Performance in Gastrointestinal Endoscopy

In DDW 2021, 2021.
Status: Published
V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler

DivergentNets: Medical Image Segmentation by Network Ensemble

In EndoCV, 2021.
Status: Accepted
V. Thambawita, S. Hicks, J. Isaksen, M. H. Stensen, T. B. Haugen, J. Kanters, S. Parasa, T. de Lange, H. D. Johansen, D. Johansen et al.

DeepSynthBody: the beginning of the end for data deficiency in medicine

In The International Conference on Applied Artificial Intelligence (ICAPAI). IEEE, 2021.
Status: Published
J. Valand, H. Kadragic, S. Hicks, V. Thambawita, C. Midoglu, T. Kupka, D. Johansen, M. Riegler and P. Halvorsen

Automated Clipping of Soccer Events using Machine Learning

In IEEE International Symphosium of Multimedia (ISM). IEEE, 2021.
Status: Published

Book chapters

I. Strümke, S. Hicks, V. Thambawita, D. Jha, S. Parasa, M. Riegler and P. Halvorsen

Artificial Intelligence in Gastroenterology

In Artificial Intelligence in Medicine, 1-20. Cham: Springer International Publishing, 2021.
Status: Published

Posters

T. B. Haugen, S. Hicks, O. Witczak, J. M. Andersen, L. Bjørndal, M. Riegler and M. H. Stensen

Assessment of sperm motility according to WHO classification using convolutional neural networks

ESHRE: ESHRE, 2021.
Status: Accepted
2019

Journal articles

S. Hicks, P. H. Smedsrud, M. Riegler, T. de Lange, A. Petlund, S. L. Eskeland, K. Pogorelov, P. T. Schmidt and P. Halvorsen

Deep Learning for Automatic Generation of Endoscopy Reports

Gastrointestinal Endoscopy 89, no. 6 (2019).
Status: Published