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M. Lux, M. Riegler, P. Halvorsen, D. Dang-Nguyen and M. Potthast

Challenges for Multimedia Research in E-Sports Using Counter-Strike Global Offensive as an Example

In Savegame, 197-206. Vol. 4. Wiesbaden: Springer Fachmedien Wiesbaden, 2019.
Book Chapter
2019
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O. Witczak, J. Andersen, S. Hicks, H. L. Hammer, M. Riegler and T. Haugen

Artificial intelligence predicts sperm motility from sperm fatty acids: P-120

Human Reproduction 34 (2019).
Journal Article
2019
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M. Riegler, J. Andersen, M. Andersen, H. L. Hammer, S. Hicks, A. Hicks, W. Oliwia and T. Haugen

Artificial intelligence as a tool in predicting sperm motility and morphology: P-116

Human Reproduction 34 (2019).
Journal Article
2019
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K. Ahmad, K. Pogorelov, M. Ullah, M. Riegler, N. Conci, J. Langguth and A. Al-Fuqaha

Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences

In Multimediaeval Benchmark 2019. CEUR Workshop Proceedings, 2019.
Proceedings, refereed
2019
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Selected publications

A. Reinke, M. D. Tizabi, C. H. Sudre, M. Eisenmann, T. Rädsch, M. Baumgartner, L. Acion, M. Antonelli, T. Arbel, S. Bakas et al.

Common Limitations of Image Processing Metrics: A Picture Story

arXiv, 2022.
Miscellaneous
2022
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M. Riegler, C. Griwodz, C. Spampinato, T. de Lange, S. L. Eskeland, K. Pogorelov, W. Tavanapong, P. T. Schmidt, C. Gurrin, D. Johansen et al.

Multimedia and Medicine: Teammates for Better Disease Detection and Survival

In ACM Multimedia. Amsterdam, The Netherlands, The Netherlands: ACM, 2016.
Proceedings, refereed
2016
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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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S. Hicks, J. L. Isaksen, V. Thambawita, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, I. Strümke, C. Ellervik, M. S. Olesen et al.

Explaining deep neural networks for knowledge discovery in electrocardiogram analysis

Scientific Reports 11 (2021): 10949.
Journal Article
2021
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News

19 April 2021

New tool and guide on evaluation metrics for medical applications of AI

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Several courses within Machine Learning and programming

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2019

Proceedings, refereed

R. Borgli, H. K. Stensland and M. Riegler

Automatic Hyperparameter Optimization for Transfer Learning on Medical Image Datasets Using Bayesian Optimization

In 13th International Symposium on Medical Information and Communication Technology (ISMICT). IEEE, 2019.
Status: Published
H. Borgli, H. K. Stensland, P. Halvorsen and M. Riegler

Saga: An Open Source Platform for Training Machine Learning Models and Community-driven Sharing of Techniques

In International Conference on Content-Based Multimedia Indexing (CBMI 2019). IEEE, 2019.
Status: Published
D. Dang-Nguyen, L. Piras, M. Riegler, M. Tran, L. Zhou, M. Lux, T. Le, V. Ninh and C. Gurrin

Overview of ImageCLEFlifelog 2019: solve my life puzzle and lifelog moment retrieval

In CLEF2019 Working Notes. Vol. 2380. CEUR Workshop Proceedings (CEUR-WS.org), 2019.
Status: Published
E. R. Eriksen, S. Hicks, M. Riegler, P. Halvorsen and V. Carapella

A Web-Based Software for Training and Quality Assessment in the Image Analysis Workflow for Cardiac T1 Mapping MRI

In 2019 IEEE International Symposium on Multimedia (ISM). IEEE, 2019.
Status: Published
H. L. Hammer, M. Riegler, L. Øvrelid and E. Velldal

THREAT: A Large Annotated Corpus for Detection of Violent Threats

In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.
Status: Published
T. B. Haugen, S. Hicks, J. M. Andersen, O. Witczak, H. L. Hammer, R. Borgli, P. Halvorsen and M. Riegler

VISEM: a multimodal video dataset of human spermatozoa

In Proceedings of the 10th ACM Multimedia Systems Conference. ACM, 2019.
Status: Published
F. L. Henriksen, R. Jensen, H. K. Stensland, D. Johansen, M. Riegler and P. Halvorsen

Performance of Data Enhancements and Training Optimization for Neural Network – A Polyp Detection Case Study

In IEEE CBMS International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 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

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