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ORCIDAlvaro Fernandez-Quilez
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2020 – today
- 2024
[c13]Kevin Mekhaphan Nguyen, Alvaro Fernandez-Quilez:
Segmentation Uncertainty with Statistical Guarantees in Prostate MRI. EUSIPCO 2024: 1636-1640- [c12]Erlend Sortland Rolfsnes, Philip Thangngat, Trygve Eftestøl, Tobias Nordström, Fredrik Jäderling, Martin Eklund, Alvaro Fernandez-Quilez:
On Undesired Emergent Behaviors in Compound Prostate Cancer Detection Systems. CaPTion@MICCAI 2024: 73-82 - 2023
- [j2]Andres J. Anaya-Isaza
, Leonel Mera-Jiménez, Alvaro Fernandez-Quilez:
CrossTransUnet: A New Computationally Inexpensive Tumor Segmentation Model for Brain MRI. IEEE Access 11: 27066-27085 (2023) - [j1]Alvaro Fernandez-Quilez:
Deep learning in radiology: ethics of data and on the value of algorithm transparency, interpretability and explainability. AI Ethics 3(1): 257-265 (2023) - [c11]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: 1-4 - [c10]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: 1020-1024 - [c9]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: 1-5 - [c8]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 - [i9]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 abs/2303.01389 (2023) - [i8]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 abs/2303.06376 (2023) - [i7]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 abs/2308.05344 (2023) - [i6]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 abs/2308.06477 (2023) - [i5]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 abs/2308.06481 (2023) - [i4]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 abs/2309.08381 (2023) - 2022
- [c7]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: 1-5 - [c6]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: 1-5 - [c5]Alvaro Fernandez-Quilez, Omer Parvez, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal:
Improving prostate cancer triage with GAN-based synthetically generated prostate ADC MRI. Computer-Aided Diagnosis 2022 - [c4]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. Computer-Aided Diagnosis 2022 - [c3]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. Computer-Aided Diagnosis 2022 - [c2]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. Computer-Aided Diagnosis 2022 - [i3]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 abs/2212.14267 (2022) - 2021
- [c1]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: 1915-1919 - [i2]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 abs/2103.14955 (2021) - [i1]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 abs/2107.10806 (2021)
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