This digital poster session features advanced work on segmentation in MRI, with a strong emphasis on neuroanatomical structures, brain pathologies, and methodological robustness. The abstracts cover a wide range of applications including deep brain nuclei, white-matter tracts, cerebellar and thalamic structures, tumors, stroke, vascular anatomy, and functional speech imaging. Methodological themes include multi-sequence learning, physics-informed modeling, contrast translation, failure detection, privacy-preserving preprocessing, and diffusion-based segmentation. These Abstracts highlight the diversity and maturity of contemporary segmentation research in brain and head-and-neck MRI, with a clear trajectory toward reliable clinical and intraoperative deployment.

Skill Level: Basic