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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.
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. M. e. al.. Springer, 2018.
D. Dang-Nguyen, M. Riegler, L. Zhou and C. Gurrin. Challenges and Opportunities within Personal Life Archives In 2018 ACM on International Conference on Multimedia Retrieval - ICMR '18, Edited by K. Aizawa, M. Lew and S. Satoh. Yokohama, JapanNew York, New York, 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 ACM Multimedia Systems., 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 IEEE Conference on Biomedical and Health Informatics (BHI) 2018., 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., 2018.PDF icon cbms_2018_paper_163_preprint.pdf (1.61 MB)
E. Garcia-Ceja, M. Riegler, P. Jakobsen, J. Tørresen, T. Nordgreen, K. J. Oedegaard and O. B. Fasmer. Depresjon In the 9th ACM Multimedia Systems ConferenceProceedings of the 9th ACM Multimedia Systems Conference on - MMSys '18, Edited by P. Cesar, M. Zink and N. Murray. Amsterdam, NetherlandsNew York, New York, 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., 2018.
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.
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.
S. Hicks, M. Lux, T. de Lange, K. R. Randel, M. Jeppsson, K. Pogorelov, P. Halvorsen and M. Riegler. Mimir: An Automatic Reporting and Reasoning System for Deep Learning based Analysis in the Medical Domain In ACM Multimedia Systems., 2018.
E. Garcia-Ceja, M. Riegler, P. Jakobsen, J. Torresen, T. Nordgreen, K. J. Oedegaard and O. B. Fasmer. Motor Activity Based Classification of Depression in Unipolar and Bipolar Patients In 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS)2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS), Edited by B. Kane. Karlstad: IEEE, 2018.
M. Soleymani, M. Riegler and P. Halvorsen. "Multimodal analysis of user behavior and browsed content under different image search intents." International Journal of Multimedia Information Retrieval 7 (2018): 29-41.
K. Pogorelov, Z. Albisser, O. Ostroukhova, M. Lux, D. Johansen, P. Halvorsen and M. Riegler. OpenSea - Open Search Based Classification Tool In ACM Multimedia Systems., 2018.
B. Ionescu, H. Müller, M. Villegas, A. G. S. de Herrera, C. Eickhoff, V. Andrearczyk, Y. D. Cid, V. Liauchuk, V. Kovalev, S. A. Hasan et al. Overview of ImageCLEF 2018: Challenges, datasets and evaluation In ImageCLEF 2018, Edited by P. Bellot. Springer, 2018.
B. Thomee, M. Riegler, F. de Simone and G. Simon. "Sharing and reproducibility in ACM SIGMM." ACM SIGMultimedia Records 10 (2018): 1.
F. Murabito, C. Spampinato, S. Palazzo, K. Pogorelov and M. Riegler. "Top-Down Saliency Detection Driven by Visual Classification." Computer Vision and Image Understanding (2018).
2017
D. Nguyen, D. Tien, L. Zhou, R. Gupta, M. Riegler and C. Gurrin. Building a disclosed lifelog dataset: challenges, principles and processes In Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing (CBMI 2017), Edited by M. Bertini. ACM/IEEE, 2017.
K. Pogorelov, M. Riegler, P. Halvorsen and C. Griwodz. ClusterTag: Interactive Visualization, Clustering and Tagging Tool for Big Image Collections In ACM International Conference on Multimedia Retrieval. Bucharest: ACM, 2017.
K. Ahmad, K. Pogorelov, M. Riegler, N. Conci and P. Halvorsen. CNN and GAN Based Satellite and Social Media Data Fusion for Disaster Detection In MediaEval Benchmark 2017, Edited by K. Ahmad. Dublin, Ireland: CEUR-WS.org, 2017.
K. Pogorelov, M. Riegler, P. Halvorsen, C. Griwodz, T. de Lange, K. R. Randel, S. L. Eskeland, D. Dang-Nguyen, O. Olga, M. Lux et al. A comparison of deep learning with global features for gastrointestinal disease detection In MediaEval Benchmark 2017, Edited by M. Riegler. Dublin, Ireland: CEUR-WS.org, 2017.
K. Pogorelov, M. Riegler, P. Halvorsen, C. Griwodz, T. de Lange, K. R. Randel, S. L. Eskeland, D. Dang-Nguyen, O. Olga, M. Lux et al. A comparison of deep learning with global features for gastrointestinal disease detection In MediaEval Benchmark 2017, Edited by M. Riegler. Dublin, Ireland: CEUR-WS.org, 2017.
S. Suman, F. A. B. Hussin, A. S. Malik, K. Pogorelov, M. Riegler, S. H. Ho, I. Hilmi and K. L. Goh. Detection and Classification of Bleeding Region in WCE Images Using Color Feature In Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing. New York, NY, USA: ACM, 2017.
K. Pogorelov, M. Riegler, S. L. Eskeland, T. de Lange, D. Johansen, C. Griwodz, P. T. Schmidt and P. Halvorsen. "Efficient disease detection in gastrointestinal videos – global features versus neural networks." Multimedia Tools and Applications 76, no. 21 (2017): 22493-22525.PDF icon pogorelov_et_al-2017-multimedia_tools_and_applications.pdf (7.69 MB)
M. Riegler. EIR - A Medical Multimedia System for Efficient Computer Aided Diagnosis In University of Oslo. Vol. PhD. University of Oslo: University of Oslo, 2017.

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