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2019
K. Ahmad, K. Pogorelov, M. Riegler, O. Ostroukhova, P. Halvorsen, N. Conci and R. Dahyot. "Automatic detection of passable roads after floods in remote sensed and social media data." Signal Processing: Image Communication (2019).
R. Borgli, K. Pogorelov, M. Riegler, J. Markussen, H. K. Stensland, P. Halvorsen, C. Griwodz, S. L. Eskeland and T. de Lange. Efficient Processing of Medical Videos in a Multi-auditory Environment Using Gpu Lending. Nvidia GTC, 2019.PDF icon gtc_poster.pdf (2.49 MB)
K. Kousias, Ö. Alay, A. Argyriou, A. Lutu and M. Riegler. Estimating Downlink Throughput from End-User Measurements in Mobile Broadband Networks In IEEE World of Wireless, Mobile and Multimedia Networks (WoWMoM)., 2019.
S. Hicks, P. Smedsrud, M. Riegler, T. de Lange, A. Petlund, S. L. Eskeland, K. Pogorelov, P. T. Schmidt and P. Halvorsen. Explainable AI for Automatic Generation of Endoscopy Reports. DDW 2019: None, 2019.
P. Smedsrud, M. Riegler, T. de Lange, A. Petlund, S. L. Eskeland and P. Halvorsen. Kunstig intelligens for endoskopi – Automatisk deteksjon av lesjoner i sanntid. Norsk Gastroenterologisk Forening, 2019.PDF icon ngf-nytt.pdf (439.45 KB)
M. Kirkerød, R. Borgli, V. Thambawita, S. Hicks, M. Riegler and P. Halvorsen. Unsupervised Preprocessing to Improve Generalisation for Medical Image Classification In ISMICT 2019., 2019.
T. B. Haugen, S. Hicks, J. M. Andersen, O. Witczak, H. L. Hammer, R. Borgli, P. Halvorsen and M. Riegler. VISEM: A Multimodal Video Dataset of Human Spermatozoa In MMSys 2019., 2019.PDF icon mmsys_dataset_sperm.pdf (4.31 MB)
2018
K. Pogorelov, O. Ostroukhova, A. Petlund, P. Halvorsen, H. Espeland, T. Kupka, T. de Lange, C. Griwodz and M. Riegler. Automatic Detection of Angiectasia: Evaluation of Deep Learning and Handcrafted Approaches In IEEE Conference on Biomedical and Health Informatics (BHI) 2018., 2018.
R. Borgli, P. Halvorsen, M. Riegler and H. K. Stensland. Automatic Hyperparameter Optimization in Keras for the MediaEval 2018 Medico Multimedia Task In Working Notes Proceedings of the MediaEval 2018 Workshop. CEUR Workshop Proceedings (CEUR-WS.org), 2018.PDF icon rune_mediaeval_final.pdf (1.22 MB)
V. R. Gaddam, R. Langseth, H. K. Stensland, C. Griwodz, M. Riegler, T. Kupka, H. Espeland, D. Johansen, H. Johansen and P. Halvorsen. "Camera Synchronization for Panoramic Videos." In MediaSync, edited by M. Montagud, P. Cesar, F. Boronat and J. Jansen, 565-592. Springer, 2018.
D. Dang-Nguyen, M. Riegler, L. Zhou and C. Gurrin. Challenges and Opportunities within Personal Life Archives In Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, Edited by K. Aizawa, M. Lew and S. Satoh. New York, NY, USA: ACM Press, 2018.
S. Hicks, K. Pogorelov, M. Lux, M. Jeppsson, K. R. Randel, T. de Lange, S. L. Eskeland, P. Halvorsen and M. Riegler. Comprehensible Reasoning and Automated Reporting of Medical Examinations Based on Deep Learning Analysis In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.
K. Pogorelov, O. Ostroukhova, A. Petlund, P. Halvorsen, T. de Lange, H. Espeland, T. Kupka, C. Griwodz and M. Riegler. Deep Learning and Handcrafted Feature Based Approaches for Automatic Detection of Angiectasia In 2018 IEEE Conference on Biomedical and Health Informatics (BHI). IEEE, 2018.
K. Pogorelov, O. Ostroukhova, M. Jeppsson, H. Espeland, C. Griwodz, T. de Lange, D. Johansen, M. Riegler and P. Halvorsen. Deep Learning and Hand-crafted Feature Based Approaches for Polyp Detection in Medical Videos In 31st IEEE CBMS International Symposium on Computer-Based Medical Systems. Karlstad, Sweden: IEEE, 2018.PDF icon cbms_2018_paper_163_preprint.pdf (1.61 MB)
N. Said, K. Pogorelov, K. Ahmad, M. Riegler, N. Ahmad, O. Ostroukhova, P. Halvorsen and N. Conci. Deep learning approaches for flood classification and flood aftermath detection In Working Notes Proceedings of the MediaEval 2018 Workshop. Vol. 2283. Sophia Antipolis, France: CEUR-WS.org, 2018.PDF icon mediaeval_2018_satellite.pdf (365.65 KB)
S. Hicks, P. Smedsrud, P. Halvorsen and M. Riegler. Deep Learning Based Disease Detection Using Domain Specific Transfer Learning In MediaEval 2018. MediaEval, 2018.PDF icon mediaeval_2018_working_notes_paper.pdf (366.65 KB)
E. Garcia-Ceja, M. Riegler, P. Jakobsen, J. Tørresen, T. Nordgreen, K. J. Oedegaard and O. B. Fasmer. Depresjon: A Motor Activity Database of Depression Episodes in Unipolar and Bipolar Patients In Proceedings of the 9th ACM Multimedia Systems Conference, Edited by P. Cesar, M. Zink and N. Murray. New York, NY, USA: ACM Press, 2018.
S. Hicks, M. Riegler, K. Pogorelov, T. de Lange, K. R. Randel, K. V. Ånonsen, M. Jeppsson, P. Halvorsen and S. L. Eskeland. Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding In 31st IEEE CBMS International Symposium on Computer-Based Medical Systems. Karlstad, Sweden: IEEE, 2018.
M. Jeppsson, H. Espeland, T. Kupka, R. Langseth, A. Petlund, P. Qiaoqiao, C. Xue, K. Pogorelov, M. Riegler, D. Johansen et al. Efficient Live and on-Demand Tiled HEVC 360 VR Video Streaming In 2018 IEEE International Symposium on Multimedia (ISM). Taichung, Taiwan: IEEE, 2018.PDF icon paper.pdf (8.99 MB)
M. Lux, M. Riegler, D. Dang-Nguyen, M. Larson, M. Potthast and P. Halvorsen. GameStory Task at MediaEval 2018 In Proceeding of the MediaEval Benchmarking Initiative for Multimedia Evaluation. CEUR Workshop Proceedings, 2018.PDF icon mediaeval_18_paper_8.pdf (650.09 KB)
K. Kousias, M. Riegler, Ö. Alay and A. Argyriou. HINDSIGHT: An R-Based Framework Towards Long Short Term Memory (LSTM) Optimization In Multimedia Systems Conference (MMSys). ACM, 2018.
M. Riegler, P. Halvorsen, B. Münzer and K. Schoeffmann. The Importance of Medical Multimedia In 2018 ACM Multimedia Conference (MM '18). New York, NY, USA: ACM Press, 2018.
K. Pogorelov, M. Riegler, P. Halvorsen, S. Hicks, K. R. Randel, D. Dang-Nguyen, M. Lux, O. Ostroukhova and T. de Lange. Medico Multimedia Task at MediaEval 2018 In Working Notes Proceedings of the MediaEval 2018 Workshop. CEUR Workshop Proceedings, 2018.PDF icon mediaeval_18_paper_63.pdf (348.1 KB)
V. Thambawita, D. Jha, M. Riegler, P. Halvorsen, H. L. Hammer, H. D. Johansen and D. Johansen. The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning In MediaEval 2018. Nice, France: MediaEval, 2018.PDF icon mediaeval_team_dv_10.pdf (374.73 KB)
E. Garcia-Ceja, M. Riegler, T. Nordgreen, P. Jakobsen, K. J. Oedegaard and J. Tørresen. "Mental Health Monitoring with Multimodal Sensing and Machine Learning: A Survey." Pervasive and Mobile Computing 51 (2018): 1-26.

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