Selected Publications


Gonzalez-Jimenez, A., Lionetti, S., Gottfrois, P., Gröger, F., Pouly, M., Navarini, A.A. (2023). Robust T-Loss for Medical Image Segmentation. In: Greenspan, H., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. MICCAI 2023. Lecture Notes in Computer Science, vol 14222. Springer, Cham. https://doi.org/10.1007/978-3-031-43898-1_68

Amruthalingam, L., Gottfrois, P., Gonzalez Jimenez, A., Gökduman, B., Kunz, M., Koller, T., Pouly, M., & Navarini, A. A. (2022). Improved diagnosis by automated macro‐ and micro‐anatomical region mapping of skin photographs. In Journal of the European Academy of Dermatology and Venereology (Vol. 36, Issue 12, pp. 2525–2532). Wiley. https://doi.org/10.1111/jdv.18476

Amruthalingam, L., Mang, N., Gottfrois, P., Gonzalez Jimenez, A., Maul, J., Kunz, M., Pouly, M., & Navarini, A. A. (2023). Objective hand eczema severity assessment with automated lesion anatomical stratification. In Experimental Dermatology (Vol. 32, Issue 4, pp. 521–528). Wiley. https://doi.org/10.1111/exd.14744

Amruthalingam, L., Buerzle, O., Gottfrois, P., Jimenez, A. G., Roth, A., Koller, T., Pouly, M., & Navarini, A. A. (2022). Quantification of Efflorescences in Pustular Psoriasis Using Deep Learning. In Healthcare Informatics Research (Vol. 28, Issue 3, pp. 222–230). The Korean Society of Medical Informatics. https://doi.org/10.4258/hir.2022.28.3.222

Gröger, F., Lionetti, S., Gottfrois, P., Gonzalez-Jimenez, A., Amruthalingam, L., Labelling Consortium, Groh, M., Navarini, A. A., & Pouly, M. (2023/05/26). A Self-Supervised Data Cleaning Strategy: SelfClean [Preprint]. arXiv preprint arXiv:2305.17048

Gröger, F., Lionetti, S., Gottfrois, P., Gonzalez-Jimenez, A., Groh, M., Daneshjou, R., Consortium, L., Navarini, A.A. & Pouly, M.. (2023). Towards Reliable Dermatology Evaluation Benchmarks. Proceedings of the 3rd Machine Learning for Health Symposium, in Proceedings of Machine Learning Research225:101-128 Available from https://proceedings.mlr.press/v225/groger23a.html.