Using local binary pattern to classify dementia in MRI. - Ketil Oppedal; Kjersti Engan; Dag Aarsland; Mona K. Beyer; Ole-Bjorn Tysnes; Trygve Eftestøl (ISBI, 2012)

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)

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)

The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study. - Gustav Mårtensson; Daniel Ferreira 003; Tobias Granberg; Lena Cavallin; Ketil Oppedal; Alessandro Padovani; Irena Rektorová; Laura Bonanni; Matteo Pardini; Milica G. Kramberger; John-Paul Taylor; Jakub Hort; et al. (CoRR, 2019)

Deep 3D Convolution Neural Network for Alzheimer's Detection. - Charul Giri; Morten Goodwin; Ketil Oppedal (LOD (1), 2020)

The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study. - Gustav Mårtensson; Daniel Ferreira 003; Tobias Granberg; Lena Cavallin; Ketil Oppedal; Alessandro Padovani; Irena Rektorová; Laura Bonanni; Matteo Pardini; Milica G. Kramberger; John-Paul Taylor; Jakub Hort; et al. (Medical Image Anal., 2020)

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 (ISBI, 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)

Multi-Planar T2W MRI for an Improved Prostate Cancer Lesion Classification. - Alvaro Fernandez-Quilez; Trygve Eftestøl; Svein Reidar Kjosavik; Morten Goodwin; Ketil Oppedal (ISBI, 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 (ISBI, 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 (Computer-Aided Diagnosis, 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 (Computer-Aided Diagnosis, 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 (Computer-Aided Diagnosis, 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 003; Eric Westman; Afina W. Lemstra; Mara Ten Kate; Alessandro Padovani; Irena Rektorová; Laura Bonanni; Flavio Nobili; Milica G. Kramberger; et al. (Computer-Aided Diagnosis, 2022)

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 (ISBI, 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 (NLDL, 2023)