Oistein Hovde

Orcid: 0000-0003-4662-4153

According to our database1, Oistein Hovde authored at least 14 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images.
CoRR, 2023

3D Reconstruction of Gastrointestinal Regions Using Single-View Methods.
IEEE Access, 2023

Enhancement of Colour Reproduction for Capsule Endoscopy Images.
Proceedings of the 11th European Workshop on Visual Information Processing, 2023

2021
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Error reduction through post processing for wireless capsule endoscope video.
EURASIP J. Image Video Process., 2020

PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data.
Comput. Vis. Image Underst., 2020

The Importance Of Skip Connections In Encoder-Decoder Architectures For Colorectal Polyp Detection.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
StreoScenNet: surgical stereo robotic scene segmentation.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

2018
Stochastic Capsule Endoscopy Image Enhancement.
J. Imaging, 2018

Variational approach for capsule video frame interpolation.
EURASIP J. Image Video Process., 2018

Deep-STRESS Capsule Video Endoscopy Image Enhancement.
Proceedings of the 26th Color and Imaging Conference, 2018

Y-Net: A deep Convolutional Neural Network for Polyp Detection.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy.
Comput. Math. Methods Medicine, 2017

Sparse Coded Handcrafted and Deep Features for Colon Capsule Video Summarization.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017


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