This PowerPitch session highlights a broad and methodologically rich collection of abstracts focused on segmentation in MRI across diverse anatomies, patient populations, and clinical workflows. The selected works span brain, cardiac, spine, prostate, fetal, placental, and whole-body MRI, and address key challenges including annotation efficiency, domain adaptation, model compression, anatomical consistency, uncertainty modeling, and inline/real-time deployment. These studies reflect the growing emphasis on robust, reproducible, and clinically translatable segmentation pipelines, ranging from foundational frameworks and benchmarks to disease-specific applications in neurology, oncology, cardiology, and prenatal imaging.

Skill Level: Intermediate