Academic Publications

“Deep Learning and Hand-crafted Feature Based Approaches for Polyp Detection in Medical Videos”, Konstantin Pogorelov, Olga Ostroukhova, Mattis Jeppsson, Håvard Espeland, Carsten Griwodz, Thomas de Lange, Dag Johansen, Michael Riegler, Pål Halvorsen, Proceedings of International Symposium on Computer-Based Medical Systems (CBMS), Karlstad, Sweden, June 2018 “Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding”, Steven Alexander Hicks, Michael Riegler, Konstantin Pogorelov, Kim V. Ånonsen,Thomas de Lange, Dag Johansen, Mattis Jeppsson, Kristin Ran- heim Randel, Sigrun Eskeland, Pål Halvorsen, Proceedings of International Symposium on Computer-Based Medical Systems (CBMS), Karlstad, Sweden, June 2018 “Mimir: An Automatic Reporting and Reasoning System for Deep Learning based Analysis in the Medical Domain”, Steven Alexander Hicks, Sigrun Eskeland, Mathias Lux, Thomas de Lange, Kristin Ranheim Randel, Mattis Jeppsson, Konstantin Pogorelov, Pål Halvorsen, Michael Riegler, Proceedings of ACM Multimedia Systems (MMSYS), Amsterdam, The Netherlands, June 2018 “Comprehensible Reasoning and Automated Reporting of Medical Examinations Based on Deep Learning Analysis”, Steven Alexander Hicks, Konstantin Pogorelov, Mathias Lux, Mattis Jeppsson, Kristin Ranheim Randel, Thomas de Lange, Sigrun Eske- land, Pål Halvorsen, Michael Riegler, Proceedings of ACM Multimedia Systems (MMSYS), Amsterdam, The Netherlands, June 2018 “OpenSea - Open Search Based Classification Tool”, Konstantin Pogorelov Zeno Albisser Olga Ostroukhova, Mathias Lux, Dag Johansen, Pål Halvorsen, Michael Riegler, Proceedings of ACM Multimedia Systems (MMSYS), Amsterdam, The Netherlands, June 2018 “Deep Learning and Handcrafted Feature Based Approaches for Automatic Detection of Angiectasia”, Konstantin Pogorelov,Olga Ostroukhova, Andreas Petlund, Pål Halvorsen, Thomas de Lange, Haåard Nygaard Espeland, Tomas Kupka, Carsten Griwodz, Michael Riegler, Proceedings of IEEE Conference on Biomedical and Health Informatics (BHI), Las Vegas, Nevada, USA, March 2018 “Automatic Detection of Angiectasia:Evaluation of Deep Learning and Handcrafted Approaches” (extended abstract), Konstantin Pogorelov, Olga Ostroukhova, Andreas Petlund, Pål Halvorsen, Thomas de Lange, Haåard Nygaard Espeland, Tomas Kupka, Carsten Griwodz, Michael Riegler, Proceedings of IEEE Conference on Biomedical and Health Informatics (BHI), Las Vegas, Nevada, USA, March 2018 “Efficient disease detection in gastrointestinal videos - global features versus neural networks”, Konstantin Pogorelov, Michael Riegler, Sigrun Losada Eskeland, Thomas de Lange, Dag Johansen, Carsten Griwodz, Peter Thelin Schmidt, Pål Halvorsen, Multimedia Tools and Applications, Volume 76, Issue 21, November 2017 “Medical Multimedia Information Systems (MMIS)” (tutorial abstract), Klaus Schöffmann, Bernd Münzer, Michael Riegler, Pål Halvorsen Proceedings of ACM Multimedia (ACM MM), Mountain View, California, USA, October 2017, pp. 1957-1958 “CNN and GAN Based Satellite and Social Media Data Fusion for Disaster Detection”, Kashif Ahmad, Konstantin Pogorelov, Michael Riegler, Nicola Conci, Pål Halvorsen CEUR Workshop Proceedings - Multimedia Benchmark Workshop (MediaEval), Vol-1984, September 2017, Dublin, Ireland “Multimedia for Medicine: The Medico Task at MediaEval 2017”, Michael Riegler, Konstantin Pogorelov, Pål Halvorsen, Kris- tin Ranheim Randel, Sigrun Losada Eskeland, Duc-Tien Dang-Nguyen, Mathias Lux, Carsten Griwodz, Concetto Spampinato, Thomas de Lange CEUR Workshop Proceedings - Multimedia Benchmark Workshop (MediaEval), Vol-1984, September 2017, Dublin, Ireland “A Comparison of Deep Learning with Global Features for Gastrointestinal Disease Detection”, Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Carsten Griwodz, Thomas de Lange, Kristin Ranheim Randel, Sigrun Losada Eskeland, Duc-Tien Dang- Nguyen, Olga Ostroukhova, Mathias Lux, Concetto Spampinato, CEUR Workshop Proceedings - Multimedia Benchmark Work- shop (MediaEval), Vol-1984, September 2017, Dublin, Ireland “A Holistic Multimedia System for Gastrointestinal Tract Disease Detection”, Konstantin Pogorelov, Sigrun L. Eskeland, Tho- mas de Lange, Carsten Griwodz, Kristin Ranheim, Håkon Kvale Stensland, Duc-Tien Dang-Nguyen, Concetto Spampinato, Dag Johansen, Michael Riegler, Pål Halvorsen, Proceedings of ACM Multimedia Systems (MMSYS), Taipei, Taiwan, June 2017, pp. 112-123 “Kvasir: A Multi-Class Image-Dataset for Computer Aided Gastrointestinal Disease Detection”, Konstantin Pogorelov, Kris- tin Ranheim, Carsten Griwodz, Thomas de Lange, Sigrun L. Eskeland, Dag Johansen, Concetto Spampinato, Duc-Tien Dang- Nguyen, Mathias Lux, Peter T. Schmidt, Michael Riegler, Pål Halvorsen, Proceedings of ACM Multimedia Systems (MMSYS), Taipei, Taiwan, June 2017, pp. 164-169 “Nerthus: A Bowel Preparation Quality Video Dataset”, Konstantin Pogorelov, Kristin Ranheim, Thomas de Lange, Sigrun L. Eskeland, Dag Johansen, Carsten Griwodz, Concetto Spampinato, Mario Taschwer, Mathias Lux, Peter T. Schmidt, Michael Riegler, Pål Halvorsen Proceedings of ACM Multimedia Systems (MMSYS), Taipei, Taiwan, June 2017, pp. 170-174 “ClusterTag: Interactive Visualization, Clustering and Tagging Tool for Big Image Collections”, Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Carsten Griwodz, Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR), Bucharest, Romania, June 2017, pp. 112-116 “From Annotation to Computer Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System”, Michael Riegler, Kon- stantin Pogorelov, Sigrun L. Eskeland, Zeno Albisser, Dag Johansen, Carsten Griwodz, Peter T. Schmidt, Thomas de Lange and Pål Halvorsen, ACM Transactions on Multimedia Computing Communications and Applications, Vol. 13, No. 3, May 2017, Article no. 26 “EIR: changing the scene of automatic detection software for gastrointestinal endoscopy” (poster), Sigrun Losada Eskeland, Lars Aabakken, Michael Alexander Riegler, Peter Thelin Schmidt, Dag Johansen, Pål Halvorsen, Thomas de Lange, World Congress of GI Endoscopy (Endo 2017), Hyderabad, India, February 2017 “Multimedia and Medicine: Teammates for Better Disease Detection and Survival”, Michael Riegler, Mathias Lux, Carsten Griwodz,Concetto Spampinato, Thomas de Lange, Sigrun L. Eskeland, Konstantin Pogorelov†, Wallapak Tavanapong, Peter T. Schmidt, Cathal Gurrin, Dag Johansen, Håvard Johansen, Pål Halvorsen, Proceedings of ACM Multimedia (ACM MM), Amster- dam, The Netherlands, October 2016, pp. 968-977 “GPU-accelerated Real-time Gastrointestinal Diseases Detection”, Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Peter Thelin Schmidt, Carsten Griwodz, Dag Johansen, Sigrun Losada Eskeland, Thomas de Lange, Proceedings of the International Symposium on Computer-Based Medical Systems (CBMS), Dublin, Ireland/Belfast, Northern Ireland, June 2016 “EIR - Efficient Computer Aided Diagnosis Framework for Gastrointestinal Endoscopies”, Michael Riegler, Konstantin Pogore- lov, Pål Halvorsen, Thomas de Lange, Carsten Griwodz, Peter Thelin Schmidt, Sigrun Losada Eskeland, Dag Johansen, Procee- dings of the International Workshop on Content-based Multimedia Indexing (CBMI), Bucharest, Romania, June 2016 “Explorative Hyperbolic-Tree-Based Clustering Tool for Unsupervised Knowledge Discovery”, Michael Riegler, Konstantin Pogorelov, Mathias Lux, Pål Halvorsen, Carsten Griwodz, Sigrun Losada Eskeland, Thomas de Lange, Proceedings of the Interna- tional Workshop on Content-based Multimedia Indexing (CBMI), Bucharest, Romania, June 2016 “Efficient Processing of Videos in a Multi Auditory Environment Using Device Lending of GPUs”, Konstantin Pogorelov,Michael Riegler, Jonas Markussen, Hålkon Kvale Stensland, Pål Halvorsen, Carsten Griwodz, Sigrun Losada Eskeland, Thomas de Lange, Proceedings of the ACM Multimedia Systems Conference (MMSys), Klagenfurt am Wörthersee, Austria, May 2016 “LIRE - Open Source Visual Information Retrieval”, Mathias Lux, Michael Riegler, Pål Halvorsen, Konstantin Pogorelov, Nekta- rios Anagnostopoulos, Proceedings of the ACM Multimedia Systems Conference (MMSys), Klagenfurt am Wörthersee, Austria, May 2016 “Computer Aided Disease Detection System for Gastrointestinal Examinations”, Michael Riegler, Konstantin Pogorelov, Jonas Markussen, Mathias Lux, Håkon Kvale Stensland, Thomas de Lange, Carsten Griwodz, Pål Halvorsen, Dag Johansen, Peter Thelin Schmidt, Sigrun L. Eskeland, Proceedings of the ACM Multimedia Systems Conference (MMSys), Klagenfurt am Wörthersee, Austria, May 2016 “Expert Driven Semi-Supervised Elucidation Tool for Medical Endoscopic Videos” (demo), Zeno Albisser, Michael Riegler, Pål Halvorsen, Jiang Zhou, Carsten Griwodz, Ilangko Balasingham, Cathal Gurrin, Proceedings of the ACM Multimedia Systems Conference (MMSys), Portland, OR, USA, March 2015 “Event Understanding in Endoscopic Surgery Videos”,Mario Guggenberger,Michael Riegler,Mathias Lux,Pål Halvorsen,Proceedings of the ACM International Workshop on Human Centered Event Understanding from Multimedia (HuEvent), Orlando, FL, USA, November 2014 pp. 17-22