60 https://www.uni-bremen.de/en/rg-digital-medicine/research/pro-mics-brca [Translate to English:] Im Projekt Pro-Mics-BrCa nutzen wir KI Methoden, um auf MRT-, und Mammographiedaten aus Vorsorgeuntersuchungen eine Tumorentwicklung vorherzusagen. en University of Bremen Fri, 17 Apr 2026 21:34:33 +0200 Fri, 17 Apr 2026 21:34:33 +0200 University of Bremen news-34923 Mon, 19 Feb 2024 11:27:00 +0100 https://www.uni-bremen.de/en/rg-digital-medicine/research/pro-mics-brca/kai-geissler-praesentiert-poster Kai Geißler presented the poster "Deformable current-prior registration of DCE breast MR images on multi-site data" at SPIE Medical Imaging: Image Processing in San Diego. The article demonstrates the registration of follow-up examinations. News Tom Koller SPIE news-32196 Thu, 13 Jul 2023 09:38:19 +0200 https://www.uni-bremen.de/en/rg-digital-medicine/research/pro-mics-brca/ani-ambroladze-presents-poster-at-bvm-2023-1 Ani Ambroladze presented the Poster "CNN-Based Whole Breast Segmentation in Longitudinal High-Risk MRI Study" at the BVM 2023 in Braunschweig. It is our first paper in the "Pro-Mics-BrCa" project, showing off the breast segmentation on MRI images. News Tom Koller Springer Nature