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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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R. K. Røed, G. A. Baugerud, S. Z. Hassan, S. S. Sabet, P. Salehi, M. Powell, M. Riegler, P. Halvorsen and M. S. Johnson

Enhancing Questioning Skills through Child Avatar Chatbot Training with Feedback

Frontiers in Psychology (2023).
Journal Article
2023
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29 May 2019
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Francisco Javier Velázquez-García successfully defended his PhD

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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

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2021

Journal articles

S. Hicks, D. Jha, V. Thambawita, P. Halvorsen, B. Singstad, S. Gaur, K. Pettersen, M. Goodwin, S. Parasa, T. de Lange et al.

MedAI: Transparency in Medical Image Segmentation

Nordic Machine Intelligence 1, no. 1 (2021): 1-4.
Status: Published
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.
Status: Published
D. Jha, P. H. Smedsrud, D. Johansen, T. de Lange, H. D. Johansen, P. Halvorsen and M. Riegler

A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation

IEEE Journal of Biomedical and Health Informatics 25, no. 6 (2021): 2029-2040.
Status: Published
D. Jha, S. Ali, N. K. Tomar, H. D. Johansen, D. Johansen, J. Rittscher, M. Riegler and P. Halvorsen

Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

IEEE Access 9 (2021): 40496-40510.
Status: Published
D. Jha, S. Ali, S. Hicks, V. Thambawita, H. Borgli, P. H. Smedsrud, T. de Lange, K. Pogorelov, X. Wang, P. Harzig et al.

A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging

Medical Image Analysis 70 (2021): 102007.
Status: Published
J. K. Kanters, S. Hicks, J. L. Isaksen, N. Grarup, N. H. Rathlou, J. Ghouse, G. Ahlberg, M. S. Olesen, A. Linneberg, C. Ellervik et al.

Deep learning neural network can measure ECG intervals and amplitudes accurately

Journal of Electrocardiology 69 (2021): 82.
Status: Published
J. Markussen, L. B. Kristiansen, P. Halvorsen, H. Kielland-Gyrud, H. K. Stensland and C. Griwodz

SmartIO: Zero-overhead Device Sharing through PCIe Networking

ACM Transactions on Computer Systems 38, no. 1-2 (2021): 1-78.
Status: Published
A. B. Ovesen, T. S. Nordmo, H. D. Johansen, M. Riegler, P. Halvorsen and D. Johansen

File System Support for Privacy-Preserving Analysis and Forensics in Low-Bandwidth Edge Environments

Information 12, no. 10 (2021): 430.
Status: Published
M. Riegler, M. H. Stensen, O. Witczak, J. M. Andersen, S. Hicks, H. L. Hammer, E. Delbarre, P. Halvorsen, A. Yazidi, N. Holst et al.

Artificial intelligence in the fertility clinic: status, pitfalls and possibilities

Human Reproduction 36, no. 9 (2021): 2429-2442.
Status: Published
O. A. N. Rongved, S. Hicks, V. Thambawita, H. K. Stensland, E. Zouganeli, D. Johansen, C. Midoglu, M. Riegler and P. Halvorsen

Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events

International Journal of Semantic Computing 15, no. 2 (2021): 161-187.
Status: Published