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. Currently, I am a visiting PhD Student 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

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!
Dec 21, 2024 Our paper “Evaluation of Deep Audio Representations for Hearables” has been accepted at ICASSP 2025 in Hyderabad, India!
Nov 13, 2024 I was awarded the Best Lightning Talk and Abstract at the Symposium on AI-Driven Advances in Clinical and Translational Medicine at the Biomedical Data Science Center in Lausanne :1st_place_medal:

selected publications

  1. 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
  2. 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
  3. 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
  4. 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