Machine Learning in Clinical Neuroimaging

This book features selected papers from a workshop focused on machine learning applications in clinical neuroimaging, highlighting innovative research and methodologies.

The proceedings of the 4th International Workshop on Machine Learning in Clinical Neuroimaging, Machine Learning in Clinical Neuroimaging, present a collection of insightful research and findings in the field. Held on September 27, 2021, in conjunction with MICCAI 2021, this workshop featured 17 carefully selected papers from a competitive pool of 27 submissions. The event was conducted virtually in response to the ongoing COVID-19 pandemic, allowing researchers from around the globe to participate and share their work.

The selected papers are organized into topical sections focusing on computational anatomy, brain networks, and time series analysis. Each contribution offers a unique perspective on the application of machine learning techniques in clinical neuroimaging, showcasing innovative methodologies and their implications for enhancing diagnostic and therapeutic processes in neuroscience. The research highlights the growing importance of integrating machine learning into clinical practices, particularly in understanding complex brain structures and functions.

Machine Learning in Clinical Neuroimaging serves as a valuable resource for researchers, clinicians, and students interested in the intersection of artificial intelligence and neuroimaging. By documenting the latest advancements and collaborative efforts in this rapidly evolving field, the book aims to inspire further exploration and development of machine learning applications in clinical settings.