Primary tabs

2022
P. Salehi, S. Z. Hassan, S. S. Sabet, G. A. Baugerud, M. S. Johnson, P. Halvorsen and M. Riegler. Is More Realistic Better? A Comparison of Game Engine and GAN-based Avatars for Investigative Interviews of Children In ICDAR '22: Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, Edited by M. Dao, D. Dang-Nguyen and M. Riegler. New York, NY, USA: ACM, 2022.
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.
T. S. Nordmo, A. B. Ovesen, B. A. Juliussen, S. Hicks, V. Thambawita, H. D. Johansen, P. Halvorsen, M. Riegler and D. Johansen. Njord: a fishing trawler dataset In Proceedings of the 13th ACM Multimedia Systems Conference (MMSYS), Edited by N. Murray, G. Simon, M. Farias, I. Viola and M. Montagud. New York, NY, USA: ACM, 2022.
T. Nguyen, T. N. Phan, V. N. Nguyen, T. B. Nguyen, P. Halvorsen and M. Riegler. Parallel feature selection based on the trace ratio criterion In International Joint Conference on Neural Networks (IJCNN). IEEE, 2022.
J. A. Fageren, V. Thambawita, A. Storås, S. Parasa, T. de Lange, P. Halvorsen and M. Riegler. PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps In IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2022.
F. Fineide, A. Storås, X. Chen, M. S. Magnø, A. Yazidi, M. Riegler and T. P. Utheim. "Predicting an unstable tear film through artificial intelligence." Scientific Reports 12, no. 1 (2022): 21416.
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.PDF icon 2022_noraposter_andreastoras_final.pdf (324.69 KB)
A. Storås, A. Åsberg, P. Halvorsen, M. Riegler and I. Strümke. Predicting Tacrolimus Exposure in Kidney Transplanted Patients Using Machine Learning In 35th IEEE CBMS International Symposium on Computer-Based Medical Systems. IEEE, 2022.
A. Chatterjee, A. Prinz and M. Riegler. Prediction Modeling in Activity eCoaching for Tailored Recommendation Generation: A Conceptualization In International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2022.
M. Boeker, M. Riegler, H. L. Hammer, P. Jakobsen and P. Halvorsen. "Prediction of Schizophrenia from Activity Data using Hidden Markov Model Parameters." Neural Computing and Applications (2022).
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.
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).PDF icon deac107.104.pdf (72.6 KB)
B. Torpmann-Hagen, V. Thambawita, K. Glette, P. Halvorsen and M. Riegler. Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation In 2022 IEEE International Symposium on Multimedia (ISM). IEEE, 2022.
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.PDF icon journal.pone_.0267976.pdf (2.66 MB)
V. Thambawita, S. Hicks, E. Jaouen, P. Halvorsen and M. Riegler. "Smittestopp analytics: Analysis of position data." In Smittestopp − A Case Study on Digital Contact Tracing, edited by A. Elmokashfi, O. Lysne and V. Naumova, 63-79. Vol. 11. Cham: Springer International Publishing, 2022.PDF icon thambawita2022_chapter_chapter4smittestoppanalyticsan.pdf (1.16 MB)
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.
S. Z. Hassan, P. Salehi, R. K. Røed, P. Halvorsen, G. A. Baugerud, M. S. Johnson, P. Lison, M. Riegler, M. E. Lamb, C. Griwodz et al. Towards an AI-driven talking avatar in virtual reality for investigative interviews of children In GameSys '22: Proceedings of the 2nd Workshop on Games Systems, Edited by M. Claypool and R. Eg. New York, NY, USA: ACM, 2022.
S. Pontes-Filho, K. Olsen, A. Yazidi, M. Riegler, P. Halvorsen and S. Nichele. "Towards the Neuroevolution of Low-level artificial general intelligence." Frontiers in Robotics and AI 9 (2022).
D. Jha, A. Rauniyar, H. D. Johansen, D. Johansen, M. Riegler, P. Halvorsen and U. Bagci. Video Analytics in Elite Soccer: A Distributed Computing Perspective In IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM). Trondheim, Norway: IEEE, 2022.
S. Z. Hassan, P. Salehi, M. Riegler, M. S. Johnson, G. A. Baugerud, P. Halvorsen and S. S. Sabet. Virtual Reality Talking Avatar for Investigative Interviews of Maltreat Children In 19th International Conference on Content-based Multimedia Indexing. New York, NY, USA: Association for Computing Machinery (ACM), 2022.
S. Hicks, A. Storås, M. Riegler, C. Midoglu, M. Hammou, T. de Lange, S. Parasa, P. Halvorsen and I. Strümke. Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations. arXiv, 2022.
S. Z. Hassan, K. Ahmad, S. Hicks, P. Halvorsen, A. Al-Fuqaha, N. Conci and M. Riegler. "Visual Sentiment Analysis from Disaster Images in Social Media." Sensors 22 (2022): 3628.
S. S. Sabet, R. Eg, K. Raaen, M. Qasim, M. Riegler and P. Halvorsen. When Every Millisecond Counts: The Impact of Delay in VR Gaming In The 14th International Conference on Quality of Multimedia Experience. IEEE, 2022.
2021
J. O. Valand, H. Kadragic, S. Hicks, V. Thambawita, C. Midoglu, T. Kupka, D. Johansen, M. Riegler and P. Halvorsen. "AI-Based Video Clipping of Soccer Events." Machine Learning and Knowledge Extraction 3, no. 4 (2021): 990-1008.
I. Strümke, S. Hicks, V. Thambawita, D. Jha, S. Parasa, M. Riegler and P. Halvorsen. "Artificial Intelligence in Gastroenterology." In Artificial Intelligence in Medicine, edited by N. Lidströmer and H. Ashrafian, 1-20. Cham: Springer International Publishing, 2021.

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