Fabian Gröger

According to our database, Fabian Gröger authored at least 17 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You.

Fabian Gröger, Shuo Wen, Huyen Le, Maria Brbic

CoRR, June, 2025

Is Hyperbolic Space All You Need for Medical Anomaly Detection?

Álvaro González-Jiménez, Simone Lionetti, Ludovic Amruthalingam, Philippe Gottfrois, Fabian Gröger, Marc Pouly, Alexander A. Navarini

CoRR, May, 2025

CleanPatrick: A Benchmark for Image Data Cleaning.

Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Ludovic Amruthalingam, Elisabeth Victoria Goessinger, Hanna Lindemann, Marie Bargiela, Marie Hofbauer, Omar Badri, Philipp Tschandl, Arash Koochek, Matthew Groh, Alexander A. Navarini, Marc Pouly

CoRR, May, 2025

Robust T-Loss for medical image segmentation.

Álvaro González-Jiménez, Simone Lionetti, Philippe Gottfrois, Fabian Gröger, Alexander A. Navarini, Marc Pouly

Medical Image Anal., 2025

Evaluation of Deep Audio Representations for Hearables.

Fabian Gröger, Pascal Baumann, Ludovic Amruthalingam, Laurent Simon, Ruksana Giurda, Simone Lionetti

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Towards Scalable Foundation Models for Digital Dermatology.

Fabian Gröger, Philippe Gottfrois, Ludovic Amruthalingam, Álvaro González-Jiménez, Simone Lionetti, Luis R. Soenksen-Martinez, Alexander A. Navarini, Marc Pouly

CoRR, 2024

Self-Supervised and Few-Shot Learning for Robust Bioaerosol Monitoring.

Adrian Willi, Pascal Baumann, Sophie Erb, Fabian Gröger, Yanick Zeder, Simone Lionetti

CoRR, 2024

Intrinsic Self-Supervision for Data Quality Audits.

Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Ludovic Amruthalingam, Matthew Groh, Alexander A. Navarini, Marc Pouly

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Machine Learning for Health (ML4H) 2024.

Helen Zhou, Stefan Hegselmann, Elizabeth Healey, Trenton Chang, Caleb Ellington, Michael Leone, Vishwali Mhasawade, Sana Tonekaboni, Winston Chen, Hyewon Jeong, Xiaoxiao Li, Juyeon Heo, Payal Chandak, Ayush Noori, Sarah Jabbour, Jessica Dafflon, Jerry Ji, Jivat Neet Kaur, Amin Adibi, Xu Cao, Meera Krishnamoorthy, Yidi Huang, Fabian Gröger, Aishwarya Mandyam, Niloufar Saharhkhiz, Teya S. Bergamaschi, William Boag, Jeroen Berrevoets, Matthew Lee, Kyle Heuton, Peniel N. Argaw, Haoran Zhang

Proceedings of the Machine Learning for Health, 2024

PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa.

Philippe Gottfrois, Fabian Gröger, Faly Herizo Andriambololoniaina, Ludovic Amruthalingam, Álvaro González-Jiménez, Christophe Hsu, Agnes Kessy, Simone Lionetti, Daudi Mavura, Wingston Ng'ambi, Dingase Faith Ngongonda, Marc Pouly, Mendrika Fifaliana Rakotoarisaona, Fahafahantsoa Rapelanoro Rabenja, Ibrahima Traoré, Alexander A. Navarini

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Hyperbolic Metric Learning for Visual Outlier Detection.

Álvaro González-Jiménez, Simone Lionetti, Dena Bazazian, Philippe Gottfrois, Fabian Gröger, Alexander A. Navarini, Marc Pouly

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

SelfClean: A Self-Supervised Data Cleaning Strategy.

Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Ludovic Amruthalingam, Labelling Consortium, Matthew Groh, Alexander A. Navarini, Marc Pouly

CoRR, 2023

Towards Reliable Dermatology Evaluation Benchmarks.

Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Matthew Groh, Roxana Daneshjou, Labelling Consortium, Alexander A. Navarini, Marc Pouly

Proceedings of the Machine Learning for Health, 2023

2022

Assessing Guest Nationality Composition from Hotel Reviews.

Fabian Gröger, Marc Pouly, Flavia Tinner, Leif Brandes

Proceedings of the 9th Swiss Conference on Data Science, 2022

2021

STRUDEL: Self-training with Uncertainty Dependent Label Refinement Across Domains.

Fabian Gröger, Anne-Marie Rickmann, Christian Wachinger

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020

Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils.

Youssef Beauferris, Jonas Teuwen, Dimitrios Karkalousos, Nikita Moriakov, Matthan W. A. Caan, Lívia Rodrigues, Alexandre Lopes, Hélio Pedrini, Letícia Rittner, Maik Dannecker, Viktor Studenyak, Fabian Gröger, Devendra Vyas, Shahrooz Faghih-Roohi, Amrit Kumar Jethi, JayaChandra Raju, Mohanasankar Sivaprakasam, Wallace Loos, Richard Frayne, Roberto Souza

CoRR, 2020

2011

Erweiterung einer Konferenzplattform um eine In-Bound-Fähigkeit mit Authentifizierung.

Fabian Gröger

Proceedings of the Informatiktage 2011, 2011