Machine Learning in Clinical Neuroimaging

This collection features selected papers from the 5th International Workshop on Machine Learning in Clinical Neuroimaging, addressing key challenges in the field.

This book presents the refereed proceedings from the 5th International Workshop on Machine Learning in Clinical Neuroimaging, known as MLCN 2022, which took place in Singapore in September 2022. Featuring 17 meticulously reviewed papers selected from a pool of 23 full-length submissions, the volume highlights the latest advancements in the intersection of machine learning and clinical neuroscience.

The primary objective of MLCN 2022 was to unite leading researchers and tech-savvy clinicians to tackle two significant challenges. First, the workshop focused on developing methodological approaches to analyze complex and heterogeneous neuroimaging data within the machine learning track. Second, it sought to bridge the translational gap by applying existing machine learning methods to clinical practices in the clinical neuroimaging track.

The collected papers are organized under specific topical sub-headings, including Morphometry, Diagnostics, Aging, and Neurodegeneration. Each section delves into critical aspects of how machine learning can enhance our understanding and treatment of neurological conditions, making Machine Learning in Clinical Neuroimaging an essential resource for researchers and practitioners alike.