Lars Aabakken

According to our database, Lars Aabakken authored at least 6 papers between 2016 and 2021.

Collaborative distances:

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

2021

Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction.

Hemin Ali Qadir, Younghak Shin, Johannes Solhusvik, Jacob Bergsland, Lars Aabakken, Ilangko Balasingham

Medical Image Anal., 2021

2020

Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video.

Hemin Ali Qadir, Ilangko Balasingham, Johannes Solhusvik, Jacob Bergsland, Lars Aabakken, Younghak Shin

IEEE J. Biomed. Health Informatics, 2020

2019

A Framework With a Fully Convolutional Neural Network for Semi-Automatic Colon Polyp Annotation.

Hemin Ali Qadir, Johannes Solhusvik, Jacob Bergsland, Lars Aabakken, Ilangko Balasingham

IEEE Access, 2019

Polyp Detection and Segmentation using Mask R-CNN: Does a Deeper Feature Extractor CNN Always Perform Better?

Hemin Ali Qadir, Younghak Shin, Johannes Solhusvik, Jacob Bergsland, Lars Aabakken, Ilangko Balasingham

Proceedings of the 13th International Symposium on Medical Information and Communication Technology, 2019

2018

Automatic Colon Polyp Detection Using Region Based Deep CNN and Post Learning Approaches.

Younghak Shin, Hemin Ali Qadir, Lars Aabakken, Jacob Bergsland, Ilangko Balasingham

IEEE Access, 2018

2016

Edge density based automatic detection of inflammation in colonoscopy videos.

Igor Sevo, Aleksej Avramovic, Ilangko Balasingham, Ole Jakob Elle, Jacob Bergsland, Lars Aabakken

Comput. Biol. Medicine, 2016