Our Research and Publications
University Spin-Off
The journey of aisencia began at the Center for Industrial Mathematics (ZeTeM) at the University of Bremen, under the leadership of Prof. Dr. Dr. h.c. Peter Maass. Known for applying mathematical innovation to real-world challenges, particularly in health tech, ZeTeM has a strong reputation for fostering successful spin-offs.
Building on this foundation, aisencia is dedicated to advancing AI-powered skin pathology through ongoing research and innovation. Our publications reflect how we leverage artificial intelligence to improve diagnostic precision and efficiency. Explore our peer-reviewed publications to learn more about our latest findings and contributions to the field!
Peer-reviewed Publications
Herdt R, Schmidt M, Otero Baguer D, Le’Clerc Arrastia J, & Maass P (2024). How GAN Generators can Invert Networks in Real-Time. Proceedings of the 15th Asian Conference on Machine Learning, in Proceedings of Machine Learning Research 222:422-437 https://proceedings.mlr.press/v222/herdt24a.html
Jansen P, Le’Clerc Arrastia J, Otero Baguer D, Schmidt M, Landsberg J, Wenzel J, Emberger M, Schadendorf D, Hadaschik E, Maass P, Griewank KG. Deep learning based histological classification of adnex tumors. Eur J Cancer. 2024;196:113431. https://doi.org/10.1016/j.ejca.2023.113431
Jansen P, Otero Baguer D, Duschner N, Le’Clerc Arrastia J, Schmidt M, Landsberg J, Wenzel J, Schadendorf D, Hadaschik E, Maass P, Schaller J, Griewank KG. Deep learning detection of melanoma metastases in lymph nodes. Eur J Cancer. 2023;188:161-70. https://doi.org/10.1016/j.ejca.2023.04.023
Duschner N, Otero Baguer D, Schmidt M, Griewank KG, Hadaschik E, Hetzer S, Wiepjes B, Le’Clerc Arrastia J, Jansen P, Maass P, Schaller J. Applying an artificial intelligence deep learning approach to routine dermatopathological diagnosis of basal cell carcinoma. Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG. 2023;21:1329-37. https://doi.org/10.1111/ddg.15180
Gutiérrez Pérez JC, Otero Baguer D, Maass P. StainCUT: Stain Normalization with Contrastive Learning. Journal of Imaging. 2022; 8(7):202. https://doi.org/10.3390/jimaging8070202
Jansen P, Otero Baguer D, Duschner N, et al. Evaluation of a Deep Learning Approach to Differentiate Bowen’s Disease and Seborrheic Keratosis. Cancers (Basel). 2022;14(14):3518. Published 2022 Jul 20. https://doi.org/10.3390/cancers14143518
Le’Clerc Arrastia J, Heilenkötter N, Otero Baguer D, Hauberg-Lotte L, Boskamp T, Hetzer S, Duschner N, Schaller J, Maass P. Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma. Journal of Imaging. 2021; 7(4):71. https://doi.org/10.3390/jimaging7040071
