Fabian Gröger

Gonzalez-Jimenez, Alvaro, Lionetti, Simone, Amruthalingam, Ludovic, Gottfrois, Philippe, Gröger, Fabian, Pouly, Marc, & Navarini, Alexander A. (2026). Is Hyperbolic Space All You Need for Medical Anomaly Detection? Lecture Notes in Computer Science, 15962 LNCS, 312–322. https://doi.org/10.1007/978-3-032-04947-6_30

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

Baumann, Pascal, Glaus, Seraina, Amruthalingam, Ludovic, Gröger, Fabian, Giurda, Ruksana, & Lionetti, Simone. (2025, January 1). Listening Intention Estimation for Hearables with Natural Behavior Cues. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. https://doi.org/10.1109/waspaa66052.2025.11230929

Gröger, Fabian, Amruthalingam, Ludovic, Lionetti, Simone, Navarini, Alexander A., 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, 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. Neural Information Processing Systems (NeurIPS).

Gonzalez-Jimenez, A., Lionetti, S., Bazazian, D., Gottfrois, P., Gröger, F., Pouly, M., & Navarini, A. (2024). Hyperbolic Metric Learning for Visual Outlier Detection. European Conference on Computer Vision ECCV, 1–22. https://doi.org/10.48550/arxiv.2403.15260

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). Intrinsic Self-Supervision for Data Quality Audits. Advances in Neural Information Processing Systems, 37, 92273–92316. https://doi.org/10.52202/079017-2930

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

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, Fabian, Lionetti, Simone, Gottfrois, Philippe, Gonzalez-Jimenez, Alvaro, Habermacher, Lea, Amruthalingam, Ludovic, Groh, Matthew, Pouly, Marc, & Navarini, Alexander. (2026). A Global Atlas of Digital Dermatology to Map Innovation and Disparities [Posted-content]. In medrXiv. Springer Science and Business Media LLC. https://doi.org/10.21203/rs.3.rs-8530334/v1

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