Alvaro Fernandez Quilez | Universitetet i Stavanger

Kontakt

E-post: alvaro.f.quilez@uis.no

Rom: KE E-437

Sted: KE-E437

Organisasjonsenhet

Det teknisk- naturvitenskapelige fakultet

Institutt for data- og elektroteknologi

Kort om meg

I'm currently an Associate Professor in Artificial Intelligence (AI) at the Department of Electrical Engineering and Computer Science (University of Stavanger). I am also leading Stavanger AI Laboratory (SAIL), the AI research network at the University of Stavanger.

Courses

I am the coordinator of:

· DAT105 - AI for everyone (https://www.uis.no/nb/student/course/DAT105_1)

I am/have been a guest lecturer in:

· (Master level) BIO510 - Bioinformatics (https://www.uis.no/nb/course/BIO510_1) Topic: Foundations of AI in healthcare

· (Master level, discontinued) DIG503 - Technological foundations (https://www.uis.no/en/course/DIG503_1) Topic: Foundations of AI.

· (PhD level) DUH205 - PhD ethics (https://www.uis.no/en/course/DUH205) Topic: AI and ethics

I have also been a lecturer in non-recurring courses/workshops:

· (PhD level) Generative AI for PhD candidates - "How to navigate generative AI as a PhD candidate"

· (Bachelor/Master level) Getting started with generative AI (NITO)

Teaching competences

PhD supervisory qualification program (100 hours, 2025)

Dette forsker jeg på

Most of my research occurs within the fields of responsible AI and AI for decision-making, with a particular interest in healthcare and education applications.

Some examples of on-going or past research projects can be found in my google scholar.

Akademisk bakgrunn

I hold a PhD in AI and oncological medical imaging, obtained at the University of Stavanger (Health faculty, Department of Quality and Health Technology). My educational background is in Telecommunications Engineering (Universitat Politècnica de Catalunya, Barcelona, Spain), Computational Biomedical Engineering (Universitat Pompeu Fabra, Spain) and Physics (Universitat de Barcelona, Spain) with mentions in the field of AI.

Følg meg på nett

Publikasjoner

Vitenskapelige publikasjoner

Solveig Kristina Hammonds; Trygve Christian Eftestøl; Kathinka Dæhli Kurz; Alvaro Fernandez Quilez (2025) Decision Strategies in AI-Based Ensemble Models in Opportunistic Alzheimer’s Detection from Structural MRI. I: Journal of Imaging Informatics in Medicine (JIIM). ISSN 2948-2925. DOI: 10.1007/s10278-025-01604-5

Marius Gade; Kevin Mekhaphan Nguyen; Sol Gedde Vedde; Alvaro Fernandez Quilez (2024) Impact of uncertainty quantification through conformal prediction on volume assessment from deep learning-based MRI prostate segmentation. I: Insights into Imaging. Online ISSN 1869-4101. Volum 15. DOI: 10.1186/s13244-024-01863-w

Solveig Kristina Hammonds; Trygve Christian Eftestøl; Ketil Oppedal; Alvaro Fernandez Quilez (2024) Unraveling Gender Fairness Analysis in Deep Learning Prediction of Alzheimer’s Disease. I: Kai Morgan Kjølerbakken; Sanjay Misra; Hasan Ogul; Jonas Moræus Aamodt, 2024 4th International Conference on Applied Artificial Intelligence (ICAPAI). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9798350349764. DOI: 10.1109/ICAPAI61893.2024.10541140

Erlend Sortland Rolfsnes; Philip Thangngat; Trygve Christian Eftestøl; Tobias Nordström; Fredrik Jäderling; Martin Eklund; Alvaro Fernandez Quilez (2024) On Undesired Emergent Behaviors in Compound Prostate Cancer Detection Systems. I: Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. Volum 15199. s.73-82. DOI: 10.1007/978-3-031-73376-5_7

Kevin Mekhaphan Nguyen; Alvaro Fernandez Quilez (2024) Segmentation Uncertainty with Statistical Guarantees in Prostate MRI. I: European Signal Processing Conference. ISSN 2076-1465. s.1636-1640. DOI: 10.23919/EUSIPCO63174.2024.10715449

Alvaro Fernandez Quilez; Christoffer Gabrielsen Andersen; Trygve Christian Eftestøl; Svein Reidar Kjosavik; Ketil Oppedal (2023) 3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI. I: Proceedings of the Northern Lights Deep Learning Workshop. Online ISSN 2703-6928. Volum 4. DOI: 10.7557/18.6787

Andres Anaya-Isaza; Leonel Mera-Jimenez; Alvaro Fernandez Quilez (2023) CrossTransUnet: A New Computationally Inexpensive Tumor Segmentation Model for Brain MRI. I: IEEE Access. Online ISSN 2169-3536. Volum 11. s.27066-27085. DOI: 10.1109/ACCESS.2023.3257767

Anna Kurbatskaya; Alberto Jaramillo-Jiménez; John Fredy Ochoa-Gomez; Kolbjørn Kallesten Brønnick; Alvaro Fernandez Quilez (2023) Assessing Gender Fairness in EEG-Based Machine Learning Detection of Parkinson's Disease: A Multi-Center Study. I: European Signal Processing Conference. ISSN 2076-1465. DOI: 10.23919/EUSIPCO58844.2023.10289837

Anna Kurbatskaya; Alberto Jaramillo-Jiménez; John Fredy Ochoa-Gomez; Kolbjørn Kallesten Brønnick; Alvaro Fernandez Quilez (2023) Machine Learning-Based Detection of Parkinson’s Disease From Resting-State EEG: A Multi-Center Study. I: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Online ISSN 2694-0604. DOI: 10.1109/EMBC40787.2023.10340700

Alvaro Fernandez Quilez; Jon Tobias Nordström; Fredrik Jäderling; Svein Reidar Kjosavik; Martin Eklund (2023) Prostate Age Gap: An MRI Surrogate Marker of Aging for Prostate Cancer Detection. I: Journal of Magnetic Resonance Imaging. ISSN 1053-1807. DOI: 10.1002/jmri.29090

Alvaro Fernandez Quilez (2022) Deep learning for an improved diagnostic pathway of prostate cancer in a small multi-parametric magnetic resonance data regime. Universitetet i Stavanger. ISBN 9788284390901.

Petter Minne; Alvaro Fernandez Quilez; Dag Aarsland; Daniel Ferreira; Eric Westman; Afina W. Lemstra; Mara Ten Kate; Alessandro Padovani; Irene Rektorova; Laura Bonnani; Flavio Mariano Nobili; Milica G. Kramberger; John-Paul Taylor; Jakub Hort; Jon Snædal; Frederic Blanc; Angelo Antonini; Ketil Oppedal (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. I: Proceedings of SPIE, the International Society for Optical Engineering. ISSN 0277-786X. Volum 12033. DOI: 10.1117/12.2611339

Alvaro Fernandez Quilez; Trygve Christian Eftestøl; Svein Reidar Kjosavik; Morten Goodwin; Ketil Oppedal (2022) Multi-Planar T2W MRI for an Improved Prostate Cancer Lesion Classification. I: IEEE International Symposium on Biomedical Imaging. ISSN 1945-7928. DOI: 10.1109/ISBI52829.2022.9761514

Alvaro Fernandez Quilez; Trygve Christian Eftestøl; Svein Reidar Kjosavik; Morten Goodwin; Ketil Oppedal (2022) Contrasting Axial T2W MRI for Prostate Cancer Triage: A Self-Supervised Learning Approach. I: IEEE International Symposium on Biomedical Imaging. ISSN 1945-7928. DOI: 10.1109/ISBI52829.2022.9761573

Alvaro Fernandez Quilez (2022) Deep learning in radiology: ethics of data and on the value of algorithm transparency, interpretability and explainability. I: AI and Ethics. ISSN 2730-5953. DOI: 10.1007/s43681-022-00161-9

Alvaro Fernandez Quilez; Omer Parvez; Trygve Christian Eftestøl; Svein Reidar Kjosavik; Ketil Oppedal (2022) Improving prostate cancer triage with GAN-based synthetically generated prostate ADC MRI. I: Proceedings of SPIE, the International Society for Optical Engineering. ISSN 0277-786X. Volum 12033. DOI: 10.1117/12.2606557

Alvaro Fernandez Quilez; Trygve Christian Eftestøl; Svein Reidar Kjosavik; Ketil Oppedal (2022) Learning to triage by learning to reconstruct: a generative self-supervised approach for prostate cancer based on axial T2w MRI. I: Proceedings of SPIE, the International Society for Optical Engineering. ISSN 0277-786X. Volum 12033. DOI: 10.1117/12.2610623

Alvaro Fernandez Quilez; Habib Ullah; Trygve Christian Eftestøl; Svein Reidar Kjosavik; Ketil Oppedal (2022) One class to rule them all: detection and classification of prostate tumors presence in bi-parametric MRI based on auto-encoders. I: Proceedings of SPIE, the International Society for Optical Engineering. ISSN 0277-786X. Volum 12033. DOI: 10.1117/12.2602884

Maria Isabel Pons; Jordi Mill; Alvaro Fernandez Quilez; Andy L. Olivares; Etelvino Silva; Tom De Potter; Oscar Camara (2022) Joint Analysis of Morphological Parameters and In Silico Haemodynamics of the Left Atrial Appendage for Thrombogenic Risk Assessment. I: Journal of Interventional Cardiology. ISSN 0896-4327. Volum 2022. s.1-10. DOI: 10.1155/2022/9125224

Alvaro Fernandez Quilez; Steinar Valle Larsen; Morten Goodwin; Thor Ole Gulsrud; Svein Reidar Kjosavik; Ketil Oppedal (2021) Improving prostate whole gland segmentation in T2-weighted MRI with synthetically generated data. I: NN NN, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781665412469. s.1915-1919. DOI: 10.1109/ISBI48211.2021.9433793

Nicolas Castellanos-Perilla; Miguel Germán Borda; Alvaro Fernandez Quilez; Vera Vårin Birkemo Aarsland; Hogne Sønnesyn; Carlos Alberto Cano-Gutierrez (2020) Factors associated with functional loss among community‐dwelling Mexican older adults. I: Biomédica. ISSN 0120-4157. Volum 40. s.546-556. DOI: 10.7705/biomedica.5380

Formidling

Andrea Aparecida Gonçalves Nes; Alvaro Fernandez Quilez (2025) Nursing Mentorship Supported by Artificial Intelligence (MENTAI). ICN Congress 2025; 2025-06-09 - 2025-06-13.

Elisabeth Wetzer; Elisavet Kozyri; Alvaro Fernandez Quilez; Nages Razavian (2024) Panel Discussion on "Diversity in AI". Diversity in AI Event at Northern Lights Deep Learning Conference; 2024-01-09.

Alvaro Fernandez Quilez; Trond Tjersland; Andrijana Podhraski; Maria Camila Gonzalez Velez; Ketil Oppedal (2021) EARLY DETECTION OF PSYCHOSIS IN PARKINSON’S DISEASE BASED ON NEUROPSYCHOLOGICAL TESTS AND DEMOGRAPHICS: A MACHINE LEARNING APPROACH. International Conference on Alzheimer's&Parkinson's diseases; 2021-02-01 - 2021-02-05.

Kilde: Nasjonalt vitenarkiv