Gröger Fabian HSLU I

Fabian Gröger Fabian Gröger

Research Associate Doctoral Student

Gröger Fabian HSLU I

Lucerne School of Computer Science and Information Technology

Room 7.64
Campus Zug-Rotkreuz
Suurstoffi 1
6343 Rotkreuz


Research

Research Associate Doctoral Student

+41 41 349 30 71

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Biography

Responsibilities

  • Scientific Collaborator at the Algorithmic Business (ABIZ) Research Lab
  • Lecturer in the CAS Machine Learning

Experience

  • Data Scientist, Jaywalker Digital
  • Research Assistant at the Algorithmic Business (ABIZ) Research Lab
  • Teaching Assistant for the Advanced Machine Learning Module in the AIML Bachelor Program
  • Teaching Assistant for the Bachelor in Artificial Intelligence & Machine Learning
  • Trainee in Robotic Process Automation, Schindler Group
  • Full-Stack developer, ADMIA Solutions GmbH
  • IT Apprentice, PRtools GmbH

Education

  • ongoing PhD in Biomedical Engineering, University of Basel
  • Master of Science in Engineering (MSE), Data Science / Machine Learning, Lucerne University of Applied Sciences
  • Bachelor of Science in Computer Science, Lucerne University of Applied Sciences
Professional competencies
  • Machine Learning & Deep Learning
  • Time Series and Audio Data
  • Self-Supervised Learning
Teaching and research focus
  • Data Science
  • Machine Learning & Deep Learning

Projects

Research projects

  • HEART
  • Recommender Systems for the Travel Industry
  • FAInman: a hep-ph virtual lab
  • Adverse Event Mining
  • SelfClean for Audio
  • Strategic Collaboration with Prepress Media AG
  • AI for All
  • IDN Volksmusik-KI an Alpentöne 2025
  • Onset-Detection von Schlagzeugklängen in komplexen Schallsignalen
  • Onset-Detection von Schlagzeugklängen in komplexen Schallsignalen
  • Counteracting Data Scarcity in MedTech
  • A Machine-Learning Approach to Small-Hotel Revenue-Management
  • Onset-Detection von Schlagzeugklängen in komplexen Schallsignalen
  • Museum Exposition on Food & Artificial Intelligence
  • PollenFace - Face recognition for bioaerosol particle identification
  • Umgang mit Geld
  • Transparenz im Temporary Housing Markt
  • ITC – Generierte AR-Soundscapes
  • AI Ice Cream
  • IAC
  • Artificial Yodel
  • Erkennung von Handekzemen mit Machine Learning

Publications and presentations

Publications and presentations - Article, review; peer reviewed

  • Lionetti, Simone; Gröger, Fabian; Amruthalingam, Ludovic; Gonzalez-Jimenez, Alvaro; Gottfrois, Philippe Léon-Marius; Navarini, Alexander & Pouly, Marc (05.12.2025). Clinical Uncertainty Impacts Machine Learning Evaluations. Machine Learning for Health (ML4H),
  • Gonzalez-Jimenez, Alvaro; Gröger, Fabian; Wermelinger, Linda; Bürli, Andrin; Kastanis, Iason; Lionetti, Simone & Pouly, Marc (2026). Representation-Based Data Quality Audits for Audio. ICASSP’26: Proceedings of the International Conference on Acoustics, Speech, and Signal Processing,
  • Gröger, Fabian; Wen, Shuo; Le, Huyen & Brbić, Maria (20.06.2025). With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You. NeurIPS’25: Proceedings of the 39th Annual Conference on Neural Information Processing Systems,
  • Gröger, Fabian; Baumann, Pascal; Amruthalingam, Ludovic; Simon, Laurent; Giurda, Ruksana & Lionetti, Simone (10.02.2025). Evaluation of Deep Audio Representations for Hearables. arXiv,
  • Gonzales-Jimenez, Alvaro; Lionetti, Simone; Gottfrois, Philippe Léon-Marius; Gröger, Fabian; Amruthalingam, Ludovic; Pouly, Marc & Navarini, Alexander (2025). Is Hyperbolic Space All You Need for Medical Anomaly Detection? MICCAI'25: Proceedings of the 28thInternational Conference on Medical Image Computing and Computer Assisted Intervention,
  • Gonzalez-Jimenez, Alvaro; Lionetti, Simone; Gottfrois, Philippe Léon-Marius; Gröger, Fabian; Navarini, Alexander & Pouly, Marc (2025). Robust T-Loss for Medical Image Segmentation. Medical Image Analysis, doi: 10.1016/j.media.2025.103735
  • Gröger, Fabian; Amruthalingam, Ludovic; Lionetti, Simone; Navarini, Alexander; Ille, Fabian & Pouly, Marc (2025). A Review and Systematic Guide to Counteracting Medical Data Scarcity for AI Applications. Computer Methods and Programs in Biomedicine Update,
  • Baumann, Pascal; Glaus, Seraina; Amruthalingam, Ludovic; Gröger, Fabian; Giurda, Ruksana & Lionetti, Simone (2025). Listening Intention Estimation for Hearables with Natural Behavior Cues. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2025,
  • Willi, Adrian; Baumann, Pascal; Erb, Sophie; Gröger, Fabian; Lionetti, Simone & Zeder, Yanick (14.06.2024). Self-Supervised and Few-Shot Learning for Robust Bioaerosol Monitoring. Aerobiologia, 2025, 41, 263-268. doi: 10.1007/s10453-025-09850-4
  • Gröger, Fabian; Gottfrois, Philippe Léon-Marius; Amruthalingam, Ludovic; Gonzalez-Jimenez, Alvaro; Lionetti, Simone; Soenksen-Martinez, Luis; Navarini, Alexander & Pouly, Marc (2024). Towards Scalable Foundation Models for Digital Dermatology. Machine Learning for Health (ML4H),
  • Gottfrois, Philippe Léon-Marius; Gröger, Fabian; Andriambololoniaina, Herizo; Amruthalingam, Ludovic; Rakotoarisaona, Mendrika; Gonzales-Jimenez, Alvaro; Lionetti, Simone; Ng, Wingston; Hsu, Christophe; Kessy, Agnes; Pouly, Marc; Mavura, Daudi; Faith, Dingase; Traoré, Ibrahima; Rapelanoro, Rabenja & Navarini, Alexander (2024). PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa. Proceedings of the 27th International Conference on Medical Image Computing and Computer Assisted Intervention,
  • Gonzalez-Jimenez, Alvaro; Lionetti, Simone; Bazazian, Dena; Gottfrois, Philippe Léon-Marius; Gröger, Fabian; Navarini, Alexander & Pouly, Marc (2024). Hyperbolic Metric Learning for Visual Outlier Detection. Proceedings of Beyond Euclidean Workshop: Hyperbolic and Hyperspherical Learning for Computer Vision, ECCV’24: European Conference on Computer Vision 2024, doi: 10.1007/978-3-031-91585-7_20
  • Gröger, Fabian; Lionetti, Simone; Gottfrois, Philippe Léon-Marius; Gonzales-Jimenez, Alvaro; Amruthalingam, Ludovic; Groh, Matthew; Navarini, Alexander & Pouly, Marc (2024). Intrinsic Self-Supervision for Data Quality Audits. NeurIPS’24: Proceedings of the 38th Annual Conference on Neural Information Processing Systems,
  • Gröger, Fabian; Gottfrois, Philippe Léon-Marius; Amruthalingam, Ludovic; Gonzales-Jimenez, Alvaro; Lionetti, Simone; Soenksen Martinez, Luis; Navarini, Alexander & Pouly, Marc (2024). Towards Foundation Models for Digital Dermatology. Proceedings of the 4th Machine Learning for Health Symposium, Findings Track,
  • Gonzalez-Jimenez, Alvaro; Lionetti, Simone; Gottfrois, Philippe Léon-Marius; Gröger, Fabian; Pouly, Marc & Navarini, Alexander (2023). Robust T-Loss for Medical Image Segmentation. MICCAI'23: Proceedings of the 26thInternational Conference on Medical Image Computing and Computer Assisted Intervention,
  • Gröger, Fabian; Lionetti, Simone; Gottfrois, Philippe Léon-Marius; Gonzales-Jimenez, Alvaro; Groh, Matthew; Daneshjou, Roxana; Consortium, Labelling; Navarini, Alexander & Pouly, Marc (2023). Towards Reliable Dermatology Evaluation Benchmarks. Proceedings of the Machine Learning for Health conference, 2023,
  • Gröger, Fabian; Pouly, Marc; Tinner, Flavia & Brandes, Leif (2022). Assessing Guest Nationality Composition from Hotel Reviews. Proceedings of the 9th Swiss Data Science Conference, 1.
  • Gröger, Fabian; Gottfrois, Philippe Léon-Marius; Amruthalingam, Ludovic; Gonzalez-Jimenez, Alvaro; Lionetti, Simone; Navarini, Alexander & Pouly, Marc (2022). Towards Reducing The Need For Annotations In Digital Dermatology With Self-supervised Learning. ECAI’22: European Conference on Artificial Intelligence, Proceedings of Workshop 31: Scarce Data in Artificial Intelligence for Healthcare, 11-16. doi: 10.5220/0000164800003523

Publications and presentations - Article, review; not peer reviewed

  • Amruthalingam, Ludovic; Gonzalez-Jimenez, Alvaro; Gottfrois, Philippe Léon-Marius; Gröger, Fabian; Groh, Matthew; Habermacher, Lea; Lionetti, Simone; Navarini, Alexander & Pouly, Marc (27.12.2025). A Global Atlas of Digital Dermatology to Map Innovation and Disparities. arXiv preprint,
  • Gröger, Fabian; Lionetti, Simone; Gottfrois, Philippe Léon-Marius; Gonzalez-Jimenez, Alvaro; Amruthalingam, Ludovic; Goessinger, Elisabeth; Lindemann, Hanna; Bargiela, Marie; Hofbauer, Marie; Badri, Omar; Tschandl, Philipp; Koochek, Arash; Groh, Matthew; Navarini, Alexander & Pouly, Marc (2025). CleanPatrick: A Benchmark for Image Data Cleaning. arXiv,
  • Gröger, Fabian; Lionetti, Simone; Gottfrois, Philippe Léon-Marius; Gonzalez-Jimenez, Alvaro; Amruthalingam, Ludovic; Consortium, Labelling; Groh, Matthew; Navarini, Alexander & Pouly, Marc (2023). SelfClean: A Self-Supervised Data Cleaning Strategy. arXiv,
  • Pouly, Marc; Mazumder, Sita & Gröger, Fabian (2021). Künstliche Intelligenz für KMUs. Unternehmerzeitung, 18-19.

Publications and presentations - Report/working paper

  • Gröger, Fabian (2022). Self-Supervised Pre-Training for Texture Segmentation and Diagnosis in Dermatology (Bericht).
  • Gröger, Fabian (2021). Detecting Prejudice and Bias in Hotel Reviews (Bericht).

Publications and presentations - Theses (Bachelor/Master/Dissertation/Habilitation)

  • Gröger, Fabian (2023). Self-Supervised Pre-Training for Digital Dermatology & Data-Centric Approach to Medical Imaging (nicht veröffentlichte Master-/Lizentiats-/Diplomarbeit). Lucerne University of Applied Sciences and Arts, Rotkreuz, Switzerland.
  • Gröger, Fabian (2023). Self-Supervised Pre-Training for Digital Dermatology & Data-Centric Approach to Medical Imaging (nicht veröffentlichte Master-/Lizentiats-/Diplomarbeit). Lucerne University of Applied Sciences and Arts, Rotkreuz, Switzerland.

Achievements

Achievements - Awards and honours

  • Gröger, Fabian (02.12.2024). Outstanding Reviewer für Outstanding Reviewer for the Journal of the European Academy of Dermatology and Venereology (JEADV).
  • Gröger, Fabian (14.11.2024). Best Lightning Talk and Abstract Award für Best Lightning Talk and Abstract at Symposium on AI-Driven Advances in Clinical and Translational Medicine, Biomedical Data Science Center Lausanne.
  • Jimenez, Alvaro Gonzales; Lionetti, Simone; Gottfrois, Philippe Léon-Marius; Gröger, Fabian; Pouly, Marc & Navarini, Alexander (12.10.2023). Best Paper Award für Best Paper at MICCAI 2023.
  • Gröger, Fabian (01.08.2023). Best Master Thesis für Best Master Thesis in MSE.