Riemannian Geometric Statistics in Medical Image Analysis
Riemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with application to medical image It provides an introduction to a core methodology followed by a presentation of state-of-the- art methods.
read more
|
Handbook of Medical Image Computing and Computer Assisted Intervention
Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential.
read more
|
Medical Image Recognition, Segmentation and Parsing Machine Learning and Multiple Object Approaches
Learn and apply methods and algorithms for automatically recognizing, segmenting and parsing multiple objects.
read more
|
Machine Learning and Medical Imaging
Learn how to apply machine learning methods to medical imaging.
read more
|
Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting
Applies deep learning methods to medical imaging, providing a clear understanding of the principles and methods of neural network and deep learning.
read more
|
Deep Learning for Medical Image Analysis
Applies deep learning methods to medical imaging, providing a clear understanding of the principles and methods of neural network and deep learning.
read more
|
 Biomedical Texture Analysis:Fundamentals, Tools and Challenges
Biomedical Texture Analysis: Fundamentals,Applications, Tools and Challenges describes the fundamentals and applications of biomedical texture analysis (BTA) for precision medicine. It defines what biomedical textures (BTs) are and why they require specific image analysis design approaches when compared to more classical computer vision applications.
read more
|
Imaging Genetic
Imaging Genetics presents the latest research in imaging genetics methodology for discovering new associations between imaging and genetic variables, providing an overview of the state-of-the-art in the field.
read more
|
Connectomics: Applications to Neuroimaging
The book describes state-of-the-art research that applies brain connectivity analysis techniques to a broad range of neurological and psychiatric disorders (Alzheimer’s, epilepsy, stroke, autism, Parkinson’s, drug or alcohol addiction, depression, bipolar, and schizophrenia), brain fingerprint applications, speech-language assessments, and cognitive assessment.
read more |
| |