Kristin Ranheim Randel

According to our database, Kristin Ranheim Randel authored at least 10 papers between 2017 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

ACM Multimedia BioMedia 2019 Grand Challenge Overview.

Steven Alexander Hicks, Michael Riegler, Pia H. Smedsrud, Trine B. Haugen, Kristin Ranheim Randel, Konstantin Pogorelov, Håkon Kvale Stensland, Duc-Tien Dang-Nguyen, Mathias Lux, Andreas Petlund, Thomas de Lange, Peter Thelin Schmidt, Pål Halvorsen

Proceedings of the 27th ACM International Conference on Multimedia, 2019

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

Proceedings of the 9th ACM Multimedia Systems Conference, 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

Proceedings of the 9th ACM Multimedia Systems Conference, 2018

Medico Multimedia Task at MediaEval 2018.

Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Steven Alexander Hicks, Kristin Ranheim Randel, Duc-Tien Dang-Nguyen, Mathias Lux, Olga Ostroukhova, Thomas de Lange

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding.

Steven Alexander Hicks, Michael Riegler, Konstantin Pogorelov, Kim V. Anonsen, Thomas de Lange, Dag Johansen, Mattis Jeppsson, Kristin Ranheim Randel, Sigrun Losada Eskeland, Pål Halvorsen

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

2017

Nerthus: A Bowel Preparation Quality Video Dataset.

Konstantin Pogorelov, Kristin Ranheim Randel, Thomas de Lange, Sigrun Losada Eskeland, Carsten Griwodz, Dag Johansen, Concetto Spampinato, Mario Taschwer, Mathias Lux, Peter Thelin Schmidt, Michael Riegler, Pål Halvorsen

Proceedings of the 8th ACM on Multimedia Systems Conference, 2017

KVASIR: A Multi-Class Image Dataset for Computer Aided Gastrointestinal Disease Detection.

Konstantin Pogorelov, Kristin Ranheim Randel, Carsten Griwodz, Sigrun Losada Eskeland, Thomas de Lange, Dag Johansen, Concetto Spampinato, Duc-Tien Dang-Nguyen, Mathias Lux, Peter Thelin Schmidt, Michael Riegler, Pål Halvorsen

Proceedings of the 8th ACM on Multimedia Systems Conference, 2017

A Holistic Multimedia System for Gastrointestinal Tract Disease Detection.

Konstantin Pogorelov, Sigrun Losada Eskeland, Thomas de Lange, Carsten Griwodz, Kristin Ranheim Randel, Håkon Kvale Stensland, Duc-Tien Dang-Nguyen, Concetto Spampinato, Dag Johansen, Michael Riegler, Pål Halvorsen

Proceedings of the 8th ACM on Multimedia Systems Conference, 2017

Multimedia for Medicine: The Medico Task at MediaEval 2017.

Michael Riegler, Konstantin Pogorelov, Pål Halvorsen, Kristin Ranheim Randel, Sigrun Losada Eskeland, Duc-Tien Dang-Nguyen, Mathias Lux, Carsten Griwodz, Concetto Spampinato, Thomas de Lange

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

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

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017