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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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News

19 April 2021

Winner of the 3rd International Endoscopy Computer Vision Challenge (EndoCV)

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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2022

Journal articles

P. Salehi, S. Z. Hassan, M. Lammerse, S. S. Sabet, I. Riiser, R. K. Røed, M. S. Johnson, V. Thambawita, S. Hicks, M. Powell et al.

Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children

Big Data and Cognitive Computing 6, no. 2 (2022): 62.
Status: Published
A. Sharma, R. Kakulavarapu, V. Thambawita, M. Siddiqui, E. Delbarre, M. Riegler, H. L. Hammer and M. Stensen

Automating tracking of cell division for human embryo development in time lapse videos

Human Reproduction 37, no. Supplement_1 (2022).
Status: Published
A. Srivastava, D. Jha, S. Chanda, U. Pal, H. Johansen, D. Johansen, M. Riegler, S. Ali and P. Halvorsen

MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation

IEEE Journal of Biomedical and Health Informatics 26, no. 5 (2022): 2252-2263.
Status: Published
A. Storås, I. Strümke, M. Riegler, J. Grauslund, H. L. Hammer, A. Yazidi, P. Halvorsen, K. G. Gundersen, T. P. Utheim and C. J. Jackson

Artificial intelligence in dry eye disease

The Ocular Surface 23 (2022): 74-86.
Status: Published
W. Tavanapong, J. Oh, M. Riegler, M. I. Khaleel, B. Mitta and P. C. De Groen

Artificial Intelligence for Colonoscopy: Past, Present, and Future

IEEE Journal of Biomedical and Health Informatics 26, no. 8 (2022): 3950-3965.
Status: Published
V. Thambawita, S. Hicks, A. Storås, O. Witczak, J. M. Andersen, H. L. Hammer, P. Halvorsen, M. Riegler and H. B. Trine

Real-time deep learning based multi object tracking of spermatozoa in fresh samples

Human Reproduction 37, no. Supplement_1, July 2022, deac107.104 (2022).
Status: Published
V. Thambawita, P. Salehi, S. A. Sheshkal, S. Hicks, H. L. Hammer, S. Parasa, T. de Lange, P. Halvorsen and M. Riegler

SinGAN-Seg: Synthetic training data generation for medical image segmentation

PLOS ONE 17, no. 5 (2022): e0267976.
Status: Published
N. K. Tomar, D. Jha, M. Riegler, H. D. Johansen, D. Johansen, J. Rittscher, P. Halvorsen and S. Ali

FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation

IEEE Transactions on Neural Networks and Learning Systems (2022): 1-14.
Status: Published

Proceedings, refereed

A. H. M. Ahmed, M. Riegler, S. Hicks and A. Elmokashfi

RCAD:Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks

In ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 2022.
Status: Published
G. A. Baugerud, M. Powell, M. Riegler, P. Halvorsen, M. E. Lamb, S. S. Sabet, S. Z. Hassan, P. Salehi, R. K. Røed and M. S. Johnson

Investigative Interviews using a Multimodal Virtual Avatar

In American Psychology-Law Society Conference 2022. Denver USA,: American Psychology-Law Society, 2022.
Status: Accepted