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)

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)

Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis. - Xiaoyi Ji; Richard Salmon; Nita Mulliqi; Umair Khan; Yinxi Wang; Anders Blilie; Henrik Olsson; Bodil Ginnerup Pedersen; Karina Dalsgaard Sørensen; Benedicte Parm Ulhøi; Svein Reidar Kjosavik; Emilius A. M. Janssen; et al. (CoRR, 2023)

Prostate Age Gap (PAG): An MRI surrogate marker of aging for prostate cancer detection. - Alvaro Fernandez-Quilez; Tobias Nordström; Fredrik Jäderling; Svein Reidar Kjosavik; Martin Eklund (CoRR, 2023)

Foundation Models - A Panacea for Artificial Intelligence in Pathology? - Nita Mulliqi; Anders Blilie; Xiaoyi Ji; Kelvin Szolnoky; Henrik Olsson; Sol Erika Boman; Matteo Titus; Geraldine Martinez Gonzalez; Julia Anna Mielcarz; Masi Valkonen; Einar Gudlaugsson; Svein Reidar Kjosavik; et al. (CoRR, 2025)

The impact of tissue detection on diagnostic artificial intelligence algorithms in digital pathology. - Sol Erika Boman; Nita Mulliqi; Anders Blilie; Xiaoyi Ji; Kelvin Szolnoky; Einar Gudlaugsson; Emiel A. M. Janssen; Svein Reidar Kjosavik; José Asenjo; Marcello Gambacorta; Paolo Libretti; Marcin Braun; et al. (CoRR, 2025)

Artificial Intelligence-Assisted Prostate Cancer Diagnosis for Reduced Use of Immunohistochemistry. - Anders Blilie; Nita Mulliqi; Xiaoyi Ji; Kelvin Szolnoky; Sol Erika Boman; Matteo Titus; Geraldine Martinez Gonzalez; José Asenjo; Marcello Gambacorta; Paolo Libretti; Einar Gudlaugsson; Svein Reidar Kjosavik; et al. (CoRR, 2025)