This year, we’re thrilled to announce the continuation of the MICCAI workshop on Multiscale Multimodal Medical Imaging (MMMI 2024), alongside the 1st Workshop on Machine Learning for Multimodal/-sensor Healthcare Data (ML4MHD 2024). For more information click this link: https://mmmi2024.github.io Thank
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
CAMCA’s Xiang Li and Quanzheng Li Recipient for Google Research Scholar Program!
Thrilled to share that Xiang Li and Quanzheng Li have been selected as a recipient for the prestigious Google Research Scholar Program! This recognition highlights our commitment to advancing healthcare through innovative research. Grateful for the opportunity and excited to
CAMCA Paper Published in the American Association of Physicists in Medicine
Our latest study “Estimate and compensate head motion in non-contrast head CT scans using partial angle reconstruction and deep learning” led by Zhennong Chen and Dufan Wu takes on the challenge of imperfections in head motion artifacts in head CT!