Ketil Oppedal

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 17

Top Topics

Normal Controls

Magnetic Resonance Images

Prostate Cancer

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Biomed. Signal Process. Control.

Publications

Alvaro Fernandez-Quilez, Linas Vidziunas, Ørjan Kløvfjell Thoresen, Ketil Oppedal, Svein Reidar Kjosavik, Trygve Eftestøl
Out-of-Distribution Multi-view auto-Encoders for Prostate Cancer Lesion Detection. ISBI (2023)
Alvaro Fernandez-Quilez, Linas Vidziunas, Ørjan Kløvfjell Thoresen, Ketil Oppedal, Svein Reidar Kjosavik, Trygve Eftestøl
Out-of-distribution multi-view auto-encoders for prostate cancer lesion detection. CoRR (2023)
Alvaro Fernandez-Quilez, Christoffer Gabrielsen Andersen, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI. NLDL (2023)
Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
Learning to triage by learning to reconstruct: a generative self-supervised approach for prostate cancer based on axial T2w MRI. Medical Imaging: Computer-Aided Diagnosis (2022)
Alvaro Fernandez-Quilez, Habib Ullah, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
One class to rule them all: detection and classification of prostate tumors presence in bi-parametric MRI based on auto-encoders. Medical Imaging: Computer-Aided Diagnosis (2022)
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
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. Medical Imaging: Computer-Aided Diagnosis (2022)
Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Morten Goodwin, Ketil Oppedal
Contrasting Axial T2W MRI for Prostate Cancer Triage: A Self-Supervised Learning Approach. ISBI (2022)
Alvaro Fernandez-Quilez, Omer Parvez, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
Improving prostate cancer triage with GAN-based synthetically generated prostate ADC MRI. Medical Imaging: Computer-Aided Diagnosis (2022)
Alvaro Fernandez-Quilez, Christoffer Gabrielsen Andersen, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI. CoRR (2022)
Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Morten Goodwin, Ketil Oppedal
Multi-Planar T2W MRI for an Improved Prostate Cancer Lesion Classification. ISBI (2022)
Alvaro Fernandez-Quilez, Steinar Valle Larsen, Morten Goodwin, Thor Ole Gulsrud, Svein Reidar Kjosavik, Ketil Oppedal
Improving Prostate Whole Gland Segmentation In T2-Weighted MRI With Synthetically Generated Data. ISBI (2021)
Alvaro Fernandez-Quilez, Trygve Eftestøl, Morten Goodwin, Svein Reidar Kjosavik, Ketil Oppedal
Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI. CoRR (2021)
Alvaro Fernandez-Quilez, Steinar Valle Larsen, Morten Goodwin, Thor Ole Gulsrud, Svein Reidar Kjosavik, Ketil Oppedal
Improving prostate whole gland segmentation in t2-weighted MRI with synthetically generated data. CoRR (2021)
Charul Giri, Morten Goodwin, Ketil Oppedal
Deep 3D Convolution Neural Network for Alzheimer's Detection. LOD (1) (2020)
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
The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study. Medical Image Anal. 66 (2020)
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
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study. CoRR (2019)
Ketil Oppedal, Kjersti Engan, Trygve Eftestøl, Mona K. Beyer, Dag Aarsland
Classifying Alzheimer's disease, Lewy body dementia, and normal controls using 3D texture analysis in magnetic resonance images. Biomed. Signal Process. Control. 33 (2017)
Ketil Oppedal, Trygve Eftestøl, Kjersti Engan, Mona K. Beyer, Dag Aarsland
Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images. Int. J. Biomed. Imaging 2015 (2015)
Ketil Oppedal, Kjersti Engan, Dag Aarsland, Mona K. Beyer, Ole-Bjorn Tysnes, Trygve Eftestøl
Using local binary pattern to classify dementia in MRI. ISBI (2012)