Alvaro Gonzalez-Jimenez
Post-Doc Researcher at University of Hospital of Basel and HSLU
I hold a Bachelor’s degree in Computer Science from the University of Sevilla, followed by a Master’s degree in Informatics from Grenoble INP, where I had the privilege of working under the guidance of Xavier Alameda-Pineda. During my studies, I gained valuable experience as a research intern at Inria and Naver Labs Europe.
I obtained my Ph.D. at the University of Basel, where I was co-supervised by Marc Pouly and Alexander Navarini. My research focuses on leveraging machine learning techniques in dermatology, with an emphasis on developing accessible methods for learning from noisy and limited data.
My research interests include generative modeling, hyperbolic geometry, and the robustness of machine learning systems.
News
| May 12, 2025 | Our paper Is Hyperbolic Space All You Need for Medical Anomaly Detection? has been Early Accepted (Top 9%) at MICCAI 2025 |
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| Mar 1, 2025 | I’m organizing the first Hyperbolic Learning for Medical Imaging (HyperMI) tutorial at MICCAI 2025. |
| Feb 28, 2025 | I am proud to announce that I have successfully defended my PhD thesis and have been awarded with Summa Cum Laude distinction. |
Selected Publications
- ECCVWHyperbolic Metric Learning for Visual Outlier DetectionIn European Conference on Computer Vision Workshops 2024
- CVPRW
Oral SANO Score-based Diffusion Model for Anomaly Localization in DermatologyIn IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023Spotlight Presentation - IJCAISANO: Score-based Anomaly Localization for DermatologyIn Scarce Data in Artificial Intelligence for Healthcare 2023
- JDVImproved Diagnosis by Automated Macro- and Micro-Anatomical Region Mapping of Skin Photographs2023