Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding. - Steven Alexander Hicks; Michael Riegler 001; Konstantin Pogorelov; Kim V. Anonsen; Thomas de Lange; Dag Johansen; Mattis Jeppsson; Kristin Ranheim Randel; Sigrun Losada Eskeland; Pål Halvorsen (CBMS, 2018)

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 001; Pål Halvorsen (CBMS, 2018)

Efficient Live and on-Demand Tiled HEVC 360 VR Video Streaming. - Mattis Jeppsson; Håvard Espeland; Tomas Kupka; Ragnar Langseth; Andreas Petlund; Peng Qiaoqiao; Chuansong Xue; Konstantin Pogorelov; Michael Riegler 001; Dag Johansen; Carsten Griwodz; Pål Halvorsen (ISM, 2018)

Mimir: an automatic reporting and reasoning system for deep learning based analysis in the medical domain. - Steven Alexander Hicks; Sigrun Losada Eskeland; Mathias Lux; Thomas de Lange; Kristin Ranheim Randel; Mattis Jeppsson; Konstantin Pogorelov; Pål Halvorsen; Michael Riegler 001 (MMSys, 2018)

Comprehensible reasoning and automated reporting of medical examinations based on deep learning analysis. - Steven Alexander Hicks; Konstantin Pogorelov; Thomas de Lange; Mathias Lux; Mattis Jeppsson; Kristin Ranheim Randel; Sigrun Losada Eskeland; Pål Halvorsen; Michael Riegler 001 (MMSys, 2018)

Efficient Live and On-Demand Tiled HEVC 360 VR Video Streaming. - Mattis Jeppsson; Håvard Nygaard Espeland; Tomas Kupka; Ragnar Langseth; Andreas Petlund; Peng Qiaoqiao; Chuansong Xue; Dag Johansen; Konstantin Pogorelov; Håkon Kvale Stensland; Carsten Griwodz; Michael Riegler 001; et al. (Int. J. Semantic Comput., 2019)