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 and Arts (HSLU).

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

news

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 :)
Jun 01, 2024 Our paper “PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa” was early accepted at MICCAI 2024! :sparkles:

selected publications

  1. 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
  2. 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
  3. 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