Fabian Gröger

Gonzalez-Jimenez, A., Lionetti, S., Amruthalingam, L., Gottfrois, P., Gröger, F., Pouly, M., & Navarini, A. A. (2026). Is Hyperbolic Space All You Need for Medical Anomaly Detection? Lecture Notes in Computer Science, 15962 LNCS. https://doi.org/10.1007/978-3-032-04947-6_30

Gröger, Fabian, Lionetti, Simone, Gottfrois, Philippe, Gonzalez-Jimenez, Alvaro, Groh, Matthew, Habermacher, Lea, Amruthalingam, Ludovic, Pouly, Marc, & Navarini, Alexander. (2025). A Global Atlas of Digital Dermatology to Map Innovation and Disparities [Posted-content]. openRxiv. https://doi.org/10.64898/2025.12.27.25342585

Han, Seung Seog, Cho, Soo Ick, Fabian, Gröger, Navarini, Alexander A., Kim, Myoung Shin, Lee, Dong Hun, Lee, Ju Hee, Kim, Jihee, Won, Chong Hyun, Bae, Kyung-Nam, Lee, Jee-Bum, Yoon, Hyun-Sun, Chang, Sung Eun, Kim, Seong Hwan, Na, Jung Im, & Navarrete-Dechent, Cristian. (2025). Planet-wide performance of a skin disease AI algorithm validated in Korea. npj Digital Medicine, 8(1). https://doi.org/10.1038/s41746-025-01980-w

Gonzalez-Jimenez, Alvaro, Lionetti, Simone, Gottfrois, Philippe, Gröger, Fabian, Navarini, Alexander, & Pouly, Marc. (2025). Robust T-Loss for medical image segmentation. Medical Image Analysis, 105. https://doi.org/10.1016/j.media.2025.103735

Willi, Adrian, Baumann, Pascal, Erb, Sophie, Gröger, Fabian, Zeder, Yanick, & Lionetti, Simone. (2025). Self-supervised and few-shot learning for robust bioaerosol monitoring. Aerobiologia, 41, 263–268. https://doi.org/10.1007/s10453-025-09850-4

Gonzalez-Jimenez, Alvaro, Lionetti, Simone, Bazazian, Dena, Gottfrois, Philippe, Gröger, Fabian, Navarini, Alexander, & Pouly, Marc. (2025). Hyperbolic Metric Learning for Visual Outlier Detection [Book-chapter]. In Lecture Notes in Computer Science: Vol. 15639 LNCS (pp. 327–344). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-91585-7_20

Gröger, F., Amruthalingam, L., Lionetti, S., Navarini, A. A., Ille, F., & Pouly, M. (2025). A review and systematic guide to counteracting medical data scarcity for AI applications. 8. https://doi.org/10.1016/j.cmpbup.2025.100220

Gröger, Fabian, Baumann, Pascal, Amruthalingam, Ludovic, Simon, Laurent, Giurda, Ruksana, & Lionetti, Simone. (2025, January 1). Evaluation of Deep Audio Representations for Hearables. ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings. https://doi.org/10.1109/ICASSP49660.2025.10887737

Gröger, Fabian, Wen, Shuo, Le, Huyen, & Brbić, Maria. (2025, January 1). With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You. Advances in Neural Information Processing Systems (NeurIPS).

Gonzalez-Jimenez, Alvaro, Lionetti, Simone, Bazazian, Dena, Gottfrois, Philippe, Gröger, Fabian, Navarini Alexander, & Pouly, Marc. (2024, January 1). Hyperbolic Metric Learning for Visual Outlier Detection. European Conference on Computer Vision Workshops.

Gottfrois, Philippe, Gröger, Fabian, Andriambololoniaina, Faly Herizo, Amruthalingam, Ludovic, Gonzalez-Jimenez, Alvaro, Hsu, Christophe, Kessy, Agnes, Lionetti, Simone, Mavura, Daudi, Ng’ambi, Wingston, Ngongonda, Dingase Faith, Pouly, Marc, Rakotoarisaona, Mendrika Fifaliana, Rapelanoro Rabenja, Fahafahantsoa, Traoré, Ibrahima, & Navarini, Alexander A. (2024). PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa. In Lecture Notes in Computer Science: Vol. 15003 LNCS (pp. 703–712). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-72384-1_66

Gröger, Fabian, Gottfrois, Philippe, Amruthalingam, Ludovic, Gonzalez-Jimenez, Alvaro, Lionetti, Simone, Soenksen Martinez, Luis R., Navarini, Alexander, & Pouly, Marc. (2024, January 1). Towards Scalable Foundation Models for Digital Dermatology. In Machine Learning for Health (ML4H).

Gröger, Fabian, Lionetti, Simone, Gottfrois, Philippe, Gonzalez-Jimenez, Alvaro, Amruthalingam, Ludovic, Groh, Matthew, Navarini, Alexander, & Pouly, Marc. (2024, January 1). Intrinsic Self-Supervision for Data Quality Audits. Neural Information Processing Systems (NeurIPS). https://selfclean.github.io/

Zhou, Helen, Hegselmann, Stefan, Healey, Elizabeth, Chang, Trenton, Ellington, Caleb, Leone, Michael, Mhasawade, Vishwali, Tonekaboni, Sana, Chen, Winston, Jeong, Hyewon, Li, Xiaoxiao, Heo, Juyeon, Chandak, Payal, Noori, Ayush, Jabbour, Sarah, Dafflon, Jessica, Ji, Jerry, Kaur, Jivat Neet, Adibi, Amin, et al. (2024). Machine Learning for Health (ML4H) 2024. Proceedings of Machine Learning Research, 259, 1–13.

Gonzalez-Jimenez, Alvaro, Lionetti, Simone, Gottfrois, Philippe, Gröger, Fabian, Pouly, Marc, & Navarini, Alexander A. (2023). Robust T-Loss for Medical Image Segmentation. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14222 LNCS, 714–724. https://doi.org/10.1007/978-3-031-43898-1_68

Gröger, Fabian, Lionetti, Simone, Gottfrois, Philippe, Gonzalez-Jimenez, Alvaro, Groh, Matthew, Daneshjou, Roxana, Labelling Consortium, Navarini, Alexander A., & Pouly, Marc. (2023). Towards Reliable Dermatology Evaluation Benchmarks. Proceedings of Machine Learning Research, 225, 101–128.

Groger, Fabian, Pouly, Marc, Tinner, Flavia, & Brandes, Leif. (2022). Assessing Guest Nationality Composition from Hotel Reviews. Proceedings 2022 9th Swiss Conference on Data Science Sds 2022, 65–66. https://doi.org/10.1109/SDS54800.2022.00018