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Most recent publications

P. H. Smedsrud, H. Espeland, T. J. D. Berstad, A. Petlund, T. de Lange, M. Riegler and P. Halvorsen

Man vs. AI: An in silico study of polyp detection performance

In 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS). L'Aquila, Italy: IEEE, 2023.
Proceedings, refereed
2023
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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
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F. Fineide, A. Storås, M. Magnø, H. L. Hammer, X. Chen, A. Khan, P. Halvorsen, T. Utheim and M. Riegler

Predicting the degree of meibomian gland dropout with artificial intelligence

In ARVO Annual Meeting, 2023.
Proceedings, refereed
2023
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F. Fineide, A. Storås, M. Riegler and T. Utheim

Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence

In IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2023), 2023.
Proceedings, refereed
2023
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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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Projects

Child holding hands with a robot in Japan. Photo: Andy Kelly, Unsplash

Interview training of child-welfare and law-enforcement professionals interviewing maltreated children supported via artificial avatars

Courses held

Several courses within Machine Learning and programming

Available Master's topics

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2021

Proceedings, refereed

V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler

DivergentNets: Medical Image Segmentation by Network Ensemble

In EndoCV, 2021.
Status: Accepted
N. K. Tomar, D. Jha, S. Ali, H. D. Johansen, D. Johansen, M. Riegler and P. Halvorsen

DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation

In 25th International Conference on Pattern Recognition. Springer, 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

Miscellaneous

S. Aneja, C. Midoglu, D. Dang-Nguyen, M. Riegler, P. Halvorsen, M. Niessner, B. Adsumilli and C. Bregler

MMSys'21 Grand Challenge on Detecting Cheapfakes

arXiv, 2021.
Status: Published
A. S. K. Bekkelund, H. Lovett, T. Tennøe, D. Nassehi, H. M. Brøgger, M. Riegler, E. Fosse and S. Madsen

KUNSTIG INTELLIGENS I KLINIKKEN - Seks trender for fremtidens helsetjeneste

Oslo, Norway: Teknologiradet, 2021.
Status: Published
2020

Journal articles

H. Borgli, V. Thambawita, P. H. Smedsrud, S. Hicks, D. Jha, S. L. Eskeland, K. R. Randel, K. Pogorelov, M. Lux, D. T. D. Nguyen et al.

HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

Scientific Data 7, no. 1 (2020): 1-14.
Status: Published
E. Garcia-Ceja, B. Morin, A. Aguilar-Rivera and M. Riegler

A Genetic Attack Against Machine Learning Classifiers to Steal Biometric Actigraphy Profiles from Health Related Sensor Data

Journal of Medical Systems 44, no. 10 (2020): 1-11.
Status: Published
P. Jakobsen, E. Garcia-Ceja, M. Riegler, L. A. Stabell, T. Nordgreen, J. Torresen, O. B. Fasmer and K. J. Oedegaard

Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls

PLOS ONE 15, no. 8 (2020): e0231995.
Status: Published