Ketil Oppedal

19 papers Journal 8Unranked 11
YearRankTypeTitle / Venue / Authors
2023 — conf
3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI.
NLDL
Alvaro Fernandez-Quilez, Christoffer Gabrielsen Andersen, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
2023 — conf
Out-of-Distribution Multi-view auto-Encoders for Prostate Cancer Lesion Detection.
ISBI
Alvaro Fernandez-Quilez, Linas Vidziunas, Ørjan Kløvfjell Thoresen, Ketil Oppedal, Svein Reidar Kjosavik, Trygve Eftestøl
2023 J jnl
Out-of-distribution multi-view auto-encoders for prostate cancer lesion detection.
CoRR
Alvaro Fernandez-Quilez, Linas Vidziunas, Ørjan Kløvfjell Thoresen, Ketil Oppedal, Svein Reidar Kjosavik, Trygve Eftestøl
2022 J jnl
3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI.
CoRR
Alvaro Fernandez-Quilez, Christoffer Gabrielsen Andersen, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
2022 — conf
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.
Computer-Aided Diagnosis
Petter Minne, Alvaro Fernandez-Quilez, Dag Aarsland, Daniel Ferreira, Eric Westman, Afina W. Lemstra, Mara ten Kate, Alessandro Padovani, Irena Rektorová, Laura Bonanni, Flavio Nobili, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jón Snædal, Frédéric Blanc, Angelo Antonini, Ketil Oppedal
2022 — conf
Contrasting Axial T2W MRI for Prostate Cancer Triage: A Self-Supervised Learning Approach.
ISBI
Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Morten Goodwin, Ketil Oppedal
2022 — conf
Improving prostate cancer triage with GAN-based synthetically generated prostate ADC MRI.
Computer-Aided Diagnosis
Alvaro Fernandez-Quilez, Omer Parvez, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
2022 — conf
Learning to triage by learning to reconstruct: a generative self-supervised approach for prostate cancer based on axial T2w MRI.
Computer-Aided Diagnosis
Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
2022 — conf
Multi-Planar T2W MRI for an Improved Prostate Cancer Lesion Classification.
ISBI
Alvaro Fernandez-Quilez, Trygve Eftestøl, Svein Reidar Kjosavik, Morten Goodwin, Ketil Oppedal
2022 — conf
One class to rule them all: detection and classification of prostate tumors presence in bi-parametric MRI based on auto-encoders.
Computer-Aided Diagnosis
Alvaro Fernandez-Quilez, Habib Ullah, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
2021 — conf
Improving Prostate Whole Gland Segmentation In T2-Weighted MRI With Synthetically Generated Data.
ISBI
Alvaro Fernandez-Quilez, Steinar Valle Larsen, Morten Goodwin, Thor Ole Gulsrud, Svein Reidar Kjosavik, Ketil Oppedal
2021 J jnl
Improving prostate whole gland segmentation in t2-weighted MRI with synthetically generated data.
CoRR
Alvaro Fernandez-Quilez, Steinar Valle Larsen, Morten Goodwin, Thor Ole Gulsrud, Svein Reidar Kjosavik, Ketil Oppedal
2021 J jnl
Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI.
CoRR
Alvaro Fernandez-Quilez, Trygve Eftestøl, Morten Goodwin, Svein Reidar Kjosavik, Ketil Oppedal
2020 — conf
Deep 3D Convolution Neural Network for Alzheimer's Detection.
LOD (1)
Charul Giri, Morten Goodwin, Ketil Oppedal
2020 J jnl
The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study.
Medical Image Anal.
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
2019 J jnl
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study.
CoRR
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
2017 J jnl
Classifying Alzheimer's disease, Lewy body dementia, and normal controls using 3D texture analysis in magnetic resonance images.
Biomed. Signal Process. Control.
Ketil Oppedal, Kjersti Engan, Trygve Eftestøl, Mona K. Beyer, Dag Aarsland
2015 J jnl
Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images.
Int. J. Biomed. Imaging
Ketil Oppedal, Trygve Eftestøl, Kjersti Engan, Mona K. Beyer, Dag Aarsland
2012 — conf
Using local binary pattern to classify dementia in MRI.
ISBI
Ketil Oppedal, Kjersti Engan, Dag Aarsland, Mona K. Beyer, Ole-Bjorn Tysnes, Trygve Eftestøl