Primary tabs

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
View
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
View
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
View
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
View

News

03 February 2022
Fasade of the European Commission building.

SimulaMet part of EU project to improve patient outcome in acute stroke treatment

Courses held

Several courses within Machine Learning and programming

Available Master's topics

Find publication

Status

Departments

Publication type

Year published

Export 13 results:
2022

Posters

A. Storås, M. Riegler, P. Halvorsen, A. Åsberg and I. Strümke

Predicting drug exposure in kidney transplanted patients using machine learning

NORA Annual Conference, Stavanger, Norway, 2022.
Status: Published

Public outreach

O. Lysne, I. Strümke and M. Riegler

Data samlet fra åpne kilder er ikke ufarlig

Kronikk: Aftenposten, 2022.
Status: Published
2021

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
2020

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
2019

Posters

R. Borgli, K. Pogorelov, M. Riegler, J. Markussen, H. K. Stensland, P. Halvorsen, C. Griwodz and S. L. Eskeland

Efficient Processing of Medical Videos in a Multi-auditory Environment Using Gpu Lending

NVIDIA's GPU Technology Conference (GTC), 2019.
Status: Published

Public outreach

G. Morin and M. Riegler

An interview with Géraldine Morin

In ACM SIGMultimedia Records. Vol. 10. ACM, 2019.
Status: Published
A. Smeaton, H. Zhang, M. Riegler, J. Jia and L. Nie

Report from the SIGMM Emerging Leaders Symposium 2018

In ACM SIGMultimedia Records. Vol. 10. ACM, 2019.
Status: Published
2017

Public outreach

H. J. Escalante, J. Wan, S. Escalera, I. Guyon, M. Riegler, X. Baró, H. Müller and M. Larson

IAPR Newsletter

Vol. 39. www.iapr.org: IAPR, 2017.
Status: Published
M. Riegler, H. Engelbrecht and M. Lux

Interview column: introduction

ACM, 2017.
Status: Published
M. Riegler

An interview with David Ayman Shamma

ACM, 2017.
Status: Published