Sigrun Losada Eskeland

According to our database, Sigrun Losada Eskeland authored at least 16 papers between 2016 and 2018.

Collaborative distances:

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

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

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

From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System.

Michael Riegler, Konstantin Pogorelov, Sigrun Losada Eskeland, Peter Thelin Schmidt, Zeno Albisser, Dag Johansen, Carsten Griwodz, Pål Halvorsen, Thomas de Lange

ACM Trans. Multim. Comput. Commun. Appl., 2017

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

Multim. Tools Appl., 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

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 Losada Eskeland

Proceedings of the 7th International Conference on Multimedia Systems, 2016

Efficient processing of videos in a multi-auditory environment using device lending of GPUs.

Konstantin Pogorelov, Michael Riegler, Jonas Markussen, Håkon Kvale Stensland, Pål Halvorsen, Carsten Griwodz, Sigrun Losada Eskeland, Thomas de Lange

Proceedings of the 7th International Conference on Multimedia Systems, 2016

Multimedia and Medicine: Teammates for Better Disease Detection and Survival.

Michael Riegler, Mathias Lux, Carsten Griwodz, Concetto Spampinato, Thomas de Lange, Sigrun Losada Eskeland, Konstantin Pogorelov, Wallapak Tavanapong, Peter Thelin Schmidt, Cathal Gurrin, Dag Johansen, Håvard D. Johansen, Pål Halvorsen

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

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 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

Explorative hyperbolic-tree-based clustering tool for unsupervised knowledge discovery.

Michael Riegler, Konstantin Pogorelov, Mathias Lux, Pål Halvorsen, Carsten Griwodz, Thomas de Lange, Sigrun Losada Eskeland

Proceedings of the 14th International Workshop on Content-Based Multimedia Indexing, 2016

EIR - Efficient computer aided diagnosis framework for gastrointestinal endoscopies.

Michael Riegler, Konstantin Pogorelov, Pål Halvorsen, Thomas de Lange, Carsten Griwodz, Peter Thelin Schmidt, Sigrun Losada Eskeland, Dag Johansen

Proceedings of the 14th International Workshop on Content-Based Multimedia Indexing, 2016