Alvaro Fernandez-Quilez

According to our database, Alvaro Fernandez-Quilez authored at least 17 papers between 2021 and 2023.

Collaborative distances:

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

2023

Deep learning in radiology: ethics of data and on the value of algorithm transparency, interpretability and explainability.

Alvaro Fernandez-Quilez

AI Ethics, February, 2023

Reconsidering evaluation practices in modular systems: On the propagation of errors in MRI prostate cancer detection.

Erlend Sortland Rolfsnes, Philip Thangngat, Trygve Eftestøl, Tobias Nordström, Fredrik Jäderling, Martin Eklund, Alvaro Fernandez-Quilez

CoRR, 2023

Leveraging multi-view data without annotations for prostate MRI segmentation: A contrastive approach.

Tim Nikolass Lindeijer, Tord Martin Ytredal, Trygve Eftestøl, Tobias Nordström, Fredrik Jäderling, Martin Eklund, Alvaro Fernandez-Quilez

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

CrossTransUnet: A New Computationally Inexpensive Tumor Segmentation Model for Brain MRI.

Andres J. Anaya-Isaza, Leonel Mera-Jiménez, Alvaro Fernandez-Quilez

IEEE Access, 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

Assessing Gender Fairness in EEG-Based Machine Learning Detection of Parkinson's Disease: A Multi-Center Study.

Anna Kurbatskaya, Alberto Jaramillo-Jimenez, John Fredy Ochoa-Gómez, Kolbjørn Brønnick, Alvaro Fernandez-Quilez

Proceedings of the 31st European Signal Processing Conference, 2023

Machine Learning-Based Detection of Parkinson's Disease From Resting-State EEG: A Multi-Center Study.

Anna Kurbatskaya, Alberto Jaramillo-Jimenez, John Fredy Ochoa-Gómez, Kolbjørn Brønnick, Alvaro Fernandez-Quilez

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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, 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, 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, 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, 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