Ketil Oppedal

According to our database, Ketil Oppedal authored at least 16 papers between 2012 and 2023.

Collaborative distances:

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

2023

3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI.

Alvaro Fernandez-Quilez, Christoffer Gabrielsen Andersen, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

Out-of-Distribution Multi-view auto-Encoders for Prostate Cancer Lesion Detection.

Alvaro Fernandez-Quilez, Linas Vidziunas, Ørjan Kløvfjell Thoresen, Ketil Oppedal, Svein Reidar Kjosavik, Trygve Eftestøl

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

A study on 3D classical versus GAN-based augmentation for MRI brain image to predict the diagnosis of dementia with Lewy bodies and Alzheimer's disease in a European multi-center study.

Petter Minne, Alvaro Fernandez-Quilez, Dag Aarsland, Daniel Ferreira, Eric Westman, Afina W. Lemstra, Mara Ten Kate, Alessandro Padovani, Irene Rektorova, Laura Bonanni, Flavio Nobili, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Frédéric Blanc, Angelo Antonini, Ketil Oppedal

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Learning to triage by learning to reconstruct: a generative self-supervised approach for prostate cancer based on axial T2w MRI.

Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

One class to rule them all: detection and classification of prostate tumors presence in bi-parametric MRI based on auto-encoders.

Alvaro Fernandez-Quilez, Habib Ullah, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Improving prostate cancer triage with GAN-based synthetically generated prostate ADC MRI.

Alvaro Fernandez-Quilez, Omer Parvez, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Contrasting Axial T2W MRI for Prostate Cancer Triage: A Self-Supervised Learning Approach.

Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Morten Goodwin, Ketil Oppedal

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Multi-Planar T2W MRI for an Improved Prostate Cancer Lesion Classification.

Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Morten Goodwin, Ketil Oppedal

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI.

Alvaro Fernandez-Quilez, Trygve Eftestøl, Morten Goodwin, Svein Reidar Kjosavik, Ketil Oppedal

CoRR, 2021

Improving Prostate Whole Gland Segmentation In T2-Weighted MRI With Synthetically Generated Data.

Alvaro Fernandez-Quilez, Steinar Valle Larsen, Morten Goodwin, Thor Ole Gulsrud, Svein Reidar Kjosavik, Ketil Oppedal

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study.

Gustav Mårtensson, Daniel Ferreira, Tobias Granberg, Lena Cavallin, Ketil Oppedal, Alessandro Padovani, Irena Rektorová, Laura Bonanni, Matteo Pardini, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Jaime Kulisevsky, Frédéric Blanc, Angelo Antonini, Patrizia Mecocci, Bruno Vellas, Eric Westman

Medical Image Anal., 2020

Deep 3D Convolution Neural Network for Alzheimer's Detection.

Charul Giri, Morten Goodwin, Ketil Oppedal

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019

The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study.

Gustav Mårtensson, Daniel Ferreira, Tobias Granberg, Lena Cavallin, Ketil Oppedal, Alessandro Padovani, Irena Rektorová, Laura Bonanni, Matteo Pardini, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Jaime Kulisevsky, Frédéric Blanc, Angelo Antonini, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kloszewska, Hilkka Soininen, Simon Lovestone, Andrew Simmons, Dag Aarsland, Eric Westman

CoRR, 2019

2017

Classifying Alzheimer's disease, Lewy body dementia, and normal controls using 3D texture analysis in magnetic resonance images.

Ketil Oppedal, Kjersti Engan, Trygve Eftestøl, Mona K. Beyer, Dag Aarsland

Biomed. Signal Process. Control., 2017

2015

Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images.

Ketil Oppedal, Trygve Eftestøl, Kjersti Engan, Mona K. Beyer, Dag Aarsland

Int. J. Biomed. Imaging, 2015

2012

Using local binary pattern to classify dementia in MRI.

Ketil Oppedal, Kjersti Engan, Dag Aarsland, Mona K. Beyer, Ole-Bjorn Tysnes, Trygve Eftestøl

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012