Lars Aabakken

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 8

Top Topics

Feature Extractor

Polyp Detection

Computer Aided Detection

Ct Colonography

Top Venues

IEEE J. Biomed. Health Informatics

Medical Image Anal.

Publications

Hemin Ali Qadir, Younghak Shin, Johannes Solhusvik, Jacob Bergsland, Lars Aabakken, Ilangko Balasingham
Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction. Medical Image Anal. 68 (2021)
Hemin Ali Qadir, Ilangko Balasingham, Johannes Solhusvik, Jacob Bergsland, Lars Aabakken, Younghak Shin
Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video. IEEE J. Biomed. Health Informatics 24 (1) (2020)
Hemin Ali Qadir, Younghak Shin, Johannes Solhusvik, Jacob Bergsland, Lars Aabakken, Ilangko Balasingham
Polyp Detection and Segmentation using Mask R-CNN: Does a Deeper Feature Extractor CNN Always Perform Better? ISMICT (2019)
Younghak Shin, Hemin Ali Qadir, Lars Aabakken, Jacob Bergsland, Ilangko Balasingham
Automatic Colon Polyp Detection using Region based Deep CNN and Post Learning Approaches. CoRR (2019)
Hemin Ali Qadir, Younghak Shin, Johannes Solhusvik, Jacob Bergsland, Lars Aabakken, Ilangko Balasingham
Polyp Detection and Segmentation using Mask R-CNN: Does a Deeper Feature Extractor CNN Always Perform Better? CoRR (2019)
Hemin Ali Qadir, Johannes Solhusvik, Jacob Bergsland, Lars Aabakken, Ilangko Balasingham
A Framework With a Fully Convolutional Neural Network for Semi-Automatic Colon Polyp Annotation. IEEE Access 7 (2019)
Younghak Shin, Hemin Ali Qadir, Lars Aabakken, Jacob Bergsland, Ilangko Balasingham
Automatic Colon Polyp Detection Using Region Based Deep CNN and Post Learning Approaches. IEEE Access 6 (2018)
Igor Sevo, Aleksej Avramovic, Ilangko Balasingham, Ole Jakob Elle, Jacob Bergsland, Lars Aabakken
Edge density based automatic detection of inflammation in colonoscopy videos. Comput. Biol. Medicine 72 (2016)