Fabian Gröger

PhD Student at University of Basel.

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I am a PhD Student supervised by Alexander A. Navarini and Marc Pouly at the University of Basel in Switzerland. During my PhD I held a visiting PhD position at the MLBio Lab under the supervision of Maria Brbić at EPFL.

My research focuses on data-centric machine learning, multimodal representation learning, and medical imaging.

I also work as a Research Associate at the Applied AI Research Lab (AAI) at Lucerne University of Applied Sciences, and as a Data Scientist at Jaywalker Digital AG.

Apart from doing research, I spend my time with my family and cycling.

news

Oct 28, 2025 Our paper “Clinical Uncertainty Impacts Machine Learning Evaluations” has been accepted at ML4H 2025 in San Diego, US!
Oct 27, 2025 Our tutorial on “Modern Data Cleaning” has been accepted at IEEE International Symposium on Biomedical Imaging (ISBI) 2026 in London 🇬🇧!
Sep 19, 2025 Our paper “With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You” has been accepted at NeurIPS 2025! :building_construction:
Sep 19, 2025 Our paper “Listening Intention Estimation for Hearables with Natural Behavior Cues” has been accepted as an oral presentation at WASPAA 2025!
Jun 01, 2025 Our paper “Is Hyperbolic Space All You Need for Medical Anomaly Detection?” was early accepted at MICCAI 2025!

selected publications

  1. NeurIPS
    With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You
    Fabian Gröger, Shuo Wen, Huyen Le, and Maria Brbić
    Advances in Neural Information Processing Systems (NeurIPS), 2025
    arXiv Website
  2. NeurIPS
    Intrinsic Self-Supervision for Data Quality Audits
    Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Alvaro Gonzalez-Jimenez, Ludovic Amruthalingam , and 4 more authors
    Advances in Neural Information Processing Systems (NeurIPS), Dec 2024
    arXiv Code Website
  3. MICCAI
    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 , and 11 more authors
    Medical Image Computing and Computer Assisted Intervention (MICCAI), Oct 2024
    Note: Early Accept (top 11%), Oral
    arXiv Website
  4. MICCAI
    Robust T-Loss for Medical Image Segmentation
    Alvaro Gonzalez-Jimenez, Simone Lionetti, Philippe Gottfrois, Fabian Gröger, Marc Pouly , and 1 more author
    Medical Image Computing and Computer Assisted Intervention (MICCAI), Oct 2023
    Note: Early Accept (top 14%), Best Paper Award
    Best Paper Award arXiv Code Website