Primary tabs

Most recent publications

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
View
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
View
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
View
C. Midoglu, A. Storås, S. S. Sabet, M. Hammou, S. Hicks, I. Strümke, M. Riegler, C. Griwodz and P. Halvorsen

Experiences and Lessons Learned from a Crowdsourced-Remote Hybrid User Survey Framework

In 2022 IEEE International Symposium on Multimedia (ISM). Italy: IEEE, 2022.
Proceedings, refereed
2022
View

Available Master's topics

Find publication

Status

Departments

Publication type

Year published

Export 81 results:
2019

Proceedings, refereed

S. Hicks, P. Halvorsen, T. B. Haugen, J. M. Andersen, O. Witczak, K. Pogorelov, H. L. Hammer, D. Dang-Nguyen, M. Lux and M. Riegler

Predicting Sperm Motility and Morphology using Deep Learning and Handcrafted Features

In MediaEval. ceur ws org, 2019.
Status: Published
S. Hicks, T. B. Haugen, P. Halvorsen and M. Riegler

Using Deep Learning to Predict Motility and Morphology of Human Sperm

In MediaEval 2019. CEUR Workshop Proceedings, 2019.
Status: Published
S. Hicks, P. Halvorsen, T. B. Haugen, J. M. Andersen, O. Witczak, K. Pogorelov, H. L. Hammer, D. Dang-Nguyen, M. Lux and M. Riegler

Medico Multimedia Task at MediaEval 2019

In MediaEval. CEUR Workshop Proceedings, 2019.
Status: Published
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
A. Nordskog, P. Halvorsen, S. Hicks, H. K. Stensland, H. L. Hammer, D. Johansen and M. Riegler

Semantic Analysis of Soccer News for Automatic Game Event Classification

In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.
Status: Published
J. Rosenblad, S. Hicks, H. K. Stensland, T. B. Haugen, P. Halvorsen and M. Riegler

Using 2D and 3D Convolutional Neural Networks to Predict Semen Quality

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

Proceedings, refereed

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
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