About me

I am Miguel López-Pérez, a lecturer at the University of Granada.

Research

I do research in the methodology of machine learning and its applications (mainly) to the medical imaging domain, with wide experience in computational pathology and probabilistic models. I am interested in topics related to:

• Fairness
• Crowdsourcing
• Generative models
• Uncertainty quantification
• Explainability
• Vision Language Models

I am really open to new collaborations. If you have any idea or are motivated to conduct a project related to these interests, reach me out!

About

I graduated in mathematics (2017) and earned a master’s degree in data science (2018), both at the University of Granada (UGR). My PhD, supervised by Prof. Rafael Molina (UGR) and Prof. Aggelos Katsaggelos (Northwestern University, NWU), was entitled “Probabilistic Methods for Image and Signal Classification. Applications to Medicine and Volcanology” (2022). As part of it, I spent three months visiting NWU, working with Prof. Katsaggelos and Dr. Lee Cooper on crowdsourcing and digital pathology.

I then spent a year as a postdoc at UGR before being awarded the prestigious Juan de la Cierva postdoctoral fellowship, which I carried out at the Universitat Politècnica de València (UPV) under Prof. Valery Naranjo, working on trustworthy AI for digital pathology. During this fellowship, I also won a competitive José Castillejo grant to visit the Technical University of Denmark (DTU), where I worked with Prof. Aasa Feragen and Prof. Søren Hauberg on uncertainty quantification and fairness in medical imaging.

Academic service

• Program committee member, MIRASOL workshop.
• Tutorial presenter for the FAIMI workshop at MICCAI(2025).
• Board member of RISE-MICCAI as tutorial coordinator (2026-current)
• Local organiser in Pint of Science (2026).

Reviewer

• Reviewer for MICCAI (2024, 2025, 2026)
• Reviewer for the MIRASOL workshop at MICCAI (2026).
• Reviewer for high-impact journals: Artificial Intelligence in Medicine, Expert Systems with Applications, Digital Signal Processing.

Awards

• Outstanding Doctoral Thesis Award, University of Granada (2021/2022 course)

Latest updates

📅 Jun 1, 2026 - Two new papers accepted!

ICIP accepted our work on evaluating demographic fairness in histopathology foundation models (with Natalia P. García-de-la-Puente and Valery Naranjo). IPMU accepted our paper on zero-shot vision–language models for agri-food image classification (with Andrea Morales-Garzón, Salvador Lopez-Joya, and Maria J. Martin-Bautista).

📅 Dec 20, 2025 - RISE-tutorial coordinator

I have taken on the role of RISE-tutorial coordinator. Excited to lead and organize engaging tutorial sessions!

📅 Dec 15, 2025 - Outstanding Doctoral Thesis Award

I received the outstanding doctoral thesis award in the course (2021/2022).

📅 Dec 7, 2025 - Presenting at MedEURIPS!

We presented an ongoing work on Uncertainty Quantification in VAEs and its application to fairness in medical imaging.

📅 Sept 22, 2025 - Tutorial at FAIMI

I contributed with a hands-on session in the tutorial of FAIMI, which is about Fairness in Medical Imaging. It was an amazing time in MICCAI, BTW!

📅 Sept 16, 2025 - New beginning at University of Granada as an interim lecturer

Today, I start a new chapter in my life. I come back to Granada to gave classes as an interim lecturer. This is a temporary position but I can get engaged with students to carry out new projects! Feels exciting! :)

📅 Apr 18, 2025 - New Histopathology dataset published at Scientific data

The AI4SkIN dataset is out! Check it out. It contains 641 WSIs from 2 Spanish hospitals with multiple annotators.

📅 March 26, 2025 - New paper accepted at SCIA!

New paper accepted during my visit to DTU. Are generative models fair? In this paper, we study the racial bias in dermatology images using a VAE.

📅 March 18, 2025 - New preprint!

New preprint during my visit to DTU. We explore the extension of UQ methods to high-dimensional output models as VAE in medical imaging.

📅 Jan 1, 2025 — Starting a new visit at DTU funded by José Castillejo fellowship

I started a new visit to DTU. I’m going to resume some exciting topics about UQ and fairness with Aasa and Søren.

📅 Dec 28, 2024 — New university grant!

I’ve been awarded with a small grant from my university to do trustworthy AI models for skin cancer. These funds will allow me to go to some conferences next year and buy new material!

📅 Jun 17, 2024 — New MICCAI paper

Our MICCAI’s submission with Natalia have been accepted publication! It’s about domain adaptation in anomaly detection for whole slide images.

📅 Jun 1, 2024 — Visit to DTU

I have started a 4-month visit at DTU under the supervision of Aasa Feragen and Søren Hauberg. I’ll explore UQ and fairnes in generative models. Pretty exciting!

📅 Jan 1, 2024 — New Postdoctoral fellowship start

I’m starting as a Juan de la Cierva fellow at the Universitat Politècnica de València (UPV). I’m truly thrilled, as this is one of the most competitive postdoctoral fellowships for early-career researchers.