Graph Learning in Medical Imaging

Discover the cutting-edge insights in "Graph Learning in Medical Imaging," authored by Daoqiang Zhang and published by Springer Nature Switzerland AG in 2019. This compelling volume compiles the refereed proceedings from the First International Workshop on Graph Learning in Medical Imaging (GLMI 2019), held alongside MICCAI 2019 in Shenzhen, China. With 182 pages of in-depth research, this book features 21 meticulously reviewed papers selected from a competitive pool of 42 submissions. It serves as an essential resource for researchers and professionals interested in the intersection of graph learning techniques and medical imaging. Enhance your understanding of innovative methodologies and applications in this rapidly evolving field with this valuable addition to your academic library.