The MICCAI Society book Series – serie

Computational Retinal Image Analysis

Tools, Applications and Perspectives

Medical Image Recognition, Segmentation and Parsing

Machine Learning and Multiple Object Approaches

Machine Learning and Medical Imaging

Deep Learning for Medical Image Analysis

Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting

Biomedical Texture Analysis

Fundamentals, Tools and Challenges

Medical Image Analysis

Connectomics

Applications to Neuroimaging

Imaging Genetics

Handbook of Medical Image Computing and Computer Assisted Intervention

Radiomics and Its Clinical Application

Artificial Intelligence and Medical Big Data

Visualization, Visual Analytics and Virtual Reality in Medicine

State-of-the-art Techniques and Applications

Biomedical Image Synthesis and Simulation

Methods and Applications

Deep Network Design for Medical Image Computing

Principles and Applications

Deep Learning for Medical Image Analysis

Less-Supervised Segmentation with CNNs

Scenarios, Models and Optimization

Meta Learning With Medical Imaging and Health Informatics Applications

Federated Learning for Medical Imaging

Principles, Algorithms, and Applications