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D. Jha, S. Ali, K. Emanuelsen, S. Hicks, V. Thambawita, E. Garcia-Ceja, M. Riegler, T. de Lange, P. T. Schmidt, H. D. Johansen et al.

Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy

In International Conference on Multimedia Modeling. Springer, 2020.
Proceedings, refereed
2020
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D. Jha, S. Hicks, K. Emanuelsen, H. D. Johansen, D. Johansen, T. de Lange, M. Riegler and P. Halvorsen

Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation

In Medico MediaEval 2020. CEUR, 2020.
Proceedings, refereed
2020
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P. Jakobsen, E. Garcia-Ceja, L. A. Stabell, K. J. Oedegaard, J. O. Berle, V. Thambawita, S. Hicks, P. Halvorsen, O. B. Fasmer and M. Riegler

PSYKOSE: A Motor Activity Database of Patients with Schizophrenia

In 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS). Rochester, MN, USA: IEEE, 2020.
Proceedings, refereed
2020
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O. O. Nedrejord, V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler

Vid2Pix - A Framework for Generating High-Quality Synthetic Videos

In 2020 IEEE International Symposium on Multimedia (ISM). IEEE, 2020.
Proceedings, refereed
2020
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09 June 2022

Steven Hicks successfully defended his thesis

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Export 17 results:
2020

Proceedings, refereed

V. Thambawita, S. Hicks, H. Borgli, H. K. Stensland, D. Jha, M. K. Svensen, S. Pettersen, D. Johansen, H. D. Johansen, S. D. Pettersen et al.

PMData: a sports logging dataset

In Proceedings of the 11th ACM Multimedia Systems Conference. ACM, 2020.
Status: Published

Posters

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

Big data is not always better – prediction of live birth using machine learning on time-lapse videos of human embryos

ESHRE virtual 36th Annual Meeting: ESHRE, 2020.
Status: Published
2018

Proceedings, refereed

S. Hicks, M. Lux, T. de Lange, K. R. Randel, M. Jeppsson, K. Pogorelov, P. Halvorsen and M. Riegler

Mimir: An Automatic Reporting and Reasoning System for Deep Learning based Analysis in the Medical Domain

In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.
Status: Published
S. Hicks, M. Riegler, K. Pogorelov, T. de Lange, K. R. Randel, K. V. Ånonsen, M. Jeppsson, P. Halvorsen and S. L. Eskeland

Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding

In 31st IEEE CBMS International Symposium on Computer-Based Medical Systems. Karlstad, Sweden: IEEE, 2018.
Status: Published
S. Hicks, P. H. Smedsrud, P. Halvorsen and M. Riegler

Deep Learning Based Disease Detection Using Domain Specific Transfer Learning

In MediaEval 2018. MediaEval, 2018.
Status: Published
S. Hicks, K. Pogorelov, M. Lux, M. Jeppsson, K. R. Randel, T. de Lange, S. L. Eskeland, P. Halvorsen and M. Riegler

Comprehensible Reasoning and Automated Reporting of Medical Examinations Based on Deep Learning Analysis

In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.
Status: Published
K. Pogorelov, M. Riegler, P. Halvorsen, S. Hicks, K. R. Randel, D. Dang-Nguyen, M. Lux, O. Ostroukhova and T. de Lange

Medico Multimedia Task at MediaEval 2018

In Working Notes Proceedings of the MediaEval 2018 Workshop. CEUR Workshop Proceedings, 2018.
Status: Published