Fabian Gröger

PhD Student at University of Basel.

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I am a second year PhD Student supervised by Alexander A. Navarini and Marc Pouly at the University of Basel. My research interests are self-supervised learning, data-centric machine learning research, and medical imaging.

Previously, I received my Master’s degree in Engineering as well as my Bachelor’s degree in Computer Science at Lucerne University of Applied Sciences (HSLU).

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

news

Dec 21, 2024 Our paper “Evaluation of Deep Audio Representations for Hearables” has been accepted for 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:
Sep 27, 2024 Our paper “Intrinsic Self-Supervision for Data Quality Audits” has been accepted for at NeurIPS 2024 in Vancouver!
Sep 02, 2024 Our paper “PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa” has been accepted for an oral presentation at MICCAI 2024 in Marrakesh!
Aug 21, 2024 Just received my first kaggle gold medal for the application of SelfClean to a competition dataset :)

selected publications

  1. NeurIPS
    Intrinsic Self-Supervision for Data Quality Audits
    Fabian Gröger, Simone Lionetti, Philippe Gottfrois , and 6 more authors
    Advances in Neural Information Processing Systems (NeurIPS), Dec 2024
    arXiv Code Website
  2. MICCAI
    PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa
    Philippe Gottfrois, Fabian Gröger, Herizo Andriambololoniaina , and 13 more authors
    Medical Image Computing and Computer Assisted Intervention (MICCAI), Oct 2024
    Note: Early Accept (top 11%), Oral
    arXiv Website
  3. MICCAI
    Robust T-Loss for Medical Image Segmentation
    Alvaro Gonzalez-Jimenez, Simone Lionetti, Philippe Gottfrois , and 3 more authors
    Medical Image Computing and Computer Assisted Intervention (MICCAI), Oct 2023
    Note: Early Accept (top 14%), Best Paper Award
    Best Paper Award arXiv Code Website