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Deep Network Design for Medical Image Computing
Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and localization, cardiac ultrasound image segmentation, 2D/3D medical image registration for intervention, metal artifact reduction, sparse-view artifact reduction, etc. For each topic, the book provides a deep learning-based solution that takes into account the medical or biological aspect of the problem and how the solution addresses a variety of important questions surrounding architecture, the design of deep learning techniques, when to introduce adversarial learning, and more. This book will help graduate students and researchers develop a better understanding of the deep learning design principles for MIC and to apply them to their medical problems. - Explains design principles of deep learning techniques for MIC - Contains cutting-edge deep learning research on MIC - Covers a broad range of MIC tasks, including the classification, detection, segmentation, registration, reconstruction and synthesis of medical images
Riemannian Geometric Statistics in Medical Image Analysis
Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational frameworks for analyzing such data. Riemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with applications in medical image analysis. It provides an introduction to the core methodology followed by a presentation of state-of-the-art methods. Beyond medical image computing, the methods described in this book may also apply to other domains such as sign...
Geeks, Genes, and the Evolution of Asperger Syndrome
In this unusual book an evolutionary anthropologist and her coauthor/granddaughter, who has Asperger syndrome, examine the emergence and spread of Asperger syndrome and other forms of high-functioning autism. The authors speak to readers with autism, parents, teachers, clinicians, psychologists, psychiatrists, other health-care providers, autism researchers, evolutionary biologists, geneticists, paleoanthropologists, and people who simply enjoy reading about science. Using the latest findings regarding brain evolution and the neurological, genetic, and cognitive underpinnings of autistic individuals at the high end of the spectrum, Falk theorizes that many characteristics associated with Asperger syndrome are by-products of the evolution of advanced mental processing. She explores the origins of autism, whether it is currently evolving, how it differs in males and females, and whether it is a global phenomenon. Additionally, Eve Schofield, who was diagnosed with Asperger syndrome as a child, provides firsthand accounts of what it is like to grow up as an “Aspie.”
Biomedical Image Registration
This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Biomedical Image Registration. The 20 revised full papers and 18 revised poster papers presented were carefully reviewed and selected for inclusion in the book. The papers cover all areas of biomedical image registration; methods of registration, biomedical applications, and validation of registration.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2002
The fifth international Conference in Medical Image Computing and Computer Assisted Intervention (MICCAI 2002) was held in Tokyo from September 25th to 28th, 2002. This was the first time that the conference was held in Asia since its foundation in 1998. The objective of the conference is to offer clinicians and scientists the opportunity to collaboratively create and explore the new medical field. Specifically, MICCAI offers a forum for the discussion of the state of art in computer-assisted interventions, medical robotics, and image processing among experts from multi-disciplinary professions, including but not limited to clinical doctors, computer scientists, and mechanical and biomedical...
Medical Imaging
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Bench & Bar of Minnesota
"Official membership directory" in each volume.
