Alvaro Fernandez-Quilez

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 22

Top Topics

Prostate Biopsy

Magnetic Resonance Spectroscopy

Machine Learning

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Erlend Sortland Rolfsnes, Philip Thangngat, Trygve Eftestøl, Tobias Nordström, Fredrik Jäderling, Martin Eklund, Alvaro Fernandez-Quilez
Reconsidering evaluation practices in modular systems: On the propagation of errors in MRI prostate cancer detection. CoRR (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. ISBI (2023)
Tim Nikolass Lindeijer, Tord Martin Ytredal, Trygve Eftestøl, Tobias Nordström, Fredrik Jäderling, Martin Eklund, Alvaro Fernandez-Quilez
Leveraging multi-view data without annotations for prostate MRI segmentation: A contrastive approach. CoRR (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)
Andres J. Anaya-Isaza, Leonel Mera-Jiménez, Alvaro Fernandez-Quilez
CrossTransUnet: A New Computationally Inexpensive Tumor Segmentation Model for Brain MRI. IEEE Access 11 (2023)
Anna Kurbatskaya, Alberto Jaramillo-Jimenez, John Fredy Ochoa-Gómez, Kolbjørn Brønnick, Alvaro Fernandez-Quilez
Assessing Gender Fairness in EEG-Based Machine Learning Detection of Parkinson's Disease: A Multi-Center Study. EUSIPCO (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
Deep learning in radiology: ethics of data and on the value of algorithm transparency, interpretability and explainability. AI Ethics 3 (1) (2023)
Anna Kurbatskaya, Alberto Jaramillo-Jimenez, John Fredy Ochoa-Gómez, Kolbjørn Brønnick, Alvaro Fernandez-Quilez
Assessing gender fairness in EEG-based machine learning detection of Parkinson's disease: A multi-center study. CoRR (2023)
Anna Kurbatskaya, Alberto Jaramillo-Jimenez, John Fredy Ochoa-Gómez, Kolbjørn Brønnick, Alvaro Fernandez-Quilez
Machine Learning-Based Detection of Parkinson's Disease From Resting-State EEG: A Multi-Center Study. CoRR (2023)
Alvaro Fernandez-Quilez, Tobias Nordström, Fredrik Jäderling, Svein Reidar Kjosavik, Martin Eklund
Prostate Age Gap (PAG): An MRI surrogate marker of aging for prostate cancer detection. CoRR (2023)
Anna Kurbatskaya, Alberto Jaramillo-Jimenez, John Fredy Ochoa-Gómez, Kolbjørn Brønnick, Alvaro Fernandez-Quilez
Machine Learning-Based Detection of Parkinson's Disease From Resting-State EEG: A Multi-Center Study. EMBC (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)