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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

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.
Feb 14, 2025 Simone Lionetti and I have presented our first tutorial on Hyperbolic Learning in Action at the EMLD@EPFL
Sep 29, 2024 We presented our work on Hyperbolic Space for Out-of-Distribution Detection in the Beyond Euclidean Workshop@ECCV.

Selected Publications

  1. ECCVW
    Hyperbolic Metric Learning for Visual Outlier Detection
    Alvaro Gonzalez-JimenezSimone Lionetti, Dena Bazazian, Philippe Gottfrois, Fabian Gröger, Marc Pouly, and Alexander Navarini
    In European Conference on Computer Vision Workshops 2024
  2. MICCAI Oral
    PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa
    Philippe Gottfrois, Fabian Gröger, Herizo Andriambololoniaina, Ludovic Amruthalingam, Mendrika Rakotoarisaona, Alvaro Gonzalez-JimenezSimone Lionetti, Wingston Ng’ambi, Christophe Hsu, Agnes Kessy, Marc Pouly, Daudi Mavura, Dingase Ngongonda Faith, Ibrahima Traore, Rabenja Rapelanoro, and Alexander Navarini
    In International Conference on Medical Image Computing and Computer-Assisted Intervention 2024
    Early Acceptance - Top 11%
  3. MICCAI
    Robust T-Loss for Medical Image Segmentation
    Alvaro Gonzalez-JimenezSimone Lionetti, Philippe Gottfrois, Fabian Gröger, Marc Pouly, and Alexander Navarini
    In International Conference on Medical Image Computing and Computer-Assisted Intervention 2023
    MICCAI STAR Award
    Best Paper Award - 1/2253 Submissions
  4. CVPRW Oral
    SANO Score-based Diffusion Model for Anomaly Localization in Dermatology
    Alvaro Gonzalez-JimenezSimone LionettiMarc Pouly, and Alexander Navarini
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023
    Spotlight Presentation
  5. JDV
    Improved Diagnosis by Automated Macro- and Micro-Anatomical Region Mapping of Skin Photographs
    Ludovic Amruthalingam, Philippe Gottfrois, Alvaro Gonzalez-Jimenez, B. Gökduman, Thomas. Koller, Alexander Navarini, and Marc Pouly
    2023