We are excited to share that our work “Adaptation of Prompt-enabled Segment-Anything-Model Enhance the Accuracy and Generalizability of Cine Cardiac Magnetic Resonance Segmentation” by Zhennong Chen, Sekeun Kim, Hui Ren and Xiang Li has been accepted for presentation at American
CAMCA’s Latest Research Paper “Motion Correction and Super-Resolution for Multi-slice Cardiac Magnetic Resonance Imaging via an End-to-End Deep Learning Approach”
Are you encountering challenges when using 2D Cardiac MR slices for 3D Cardiac analysis? Here are two major hurdles: 1. Slice thickness (usually 8-10mm) results in missing data between neighboring slices.2. Misalignment between slices due to motion. These issues impact