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Machine Learning in Cardiovascular Medicine
Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers;...
Object Representation in Computer Vision
This book documents the scientific outcome of the International NSF-ARPA Workshop on Object Representation in Computer Vision, held in New York City in December 1994 with invited participants chosen among the recognized experts in the field. The volume presents the complete set of papers in revised full-length versions. In addition, the first paper is a report on the workshop in which the panel discussions as well as the conclusions and recommendations reached by the workshop participants are summarized. Altogether the volume provides an excellent, in-depth view of the state of the art in this active area of research and applications.
Computational and Psychophysical Mechanisms of Visual Coding
All visual tasks, from the simplest computer graphics program to the most complex biological visual system, require an underlying representation of visual information. The structure or coding of this representation provides the framework for processing the information. Both the biological and computational communities have had to address the task of designing or inferring visual coding strategies. This volume, by some of the most active contributors in the field of visual coding, describes some of the mechanisms used to code descriptions of visual phenomena in both areas. These chapters illustrate the similarities in the problems considered and the common models and algorithms that are proposed to solve them. The book includes an overview that sets the later chapters in context. Researchers in neuroscience and computational vision will find a wealth of new ideas here.
Interactive Technology and the New Paradigm for Healthcare
This work contains the state-of-the-art in Virtual Reality as applied to Medicine. Interactive technology, used in many research and development programs, can be applied to health care by involving: robotics, computer vision, simulation, artificial intelligence, image manipulation and storage, data gloves, man-machine interfaces, etc. The Health Telematics Application Program, for example, is advancing virtual reality and enabling technologies (simulation, visualization and robotics) in health care services for patients, the elderly and persons with disabilities. This book addresses the following items from the end-user's perspective: technology transfer, telerobotics, telemedicine, educatio...
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004
The 7th International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2004, was held in Saint-Malo, Brittany, France at the “Palais du Grand Large” conference center, September 26–29, 2004. The p- posaltohostMICCAI2004wasstronglyencouragedandsupportedbyIRISA, Rennes. IRISA is a publicly funded national research laboratory with a sta? of 370,including150full-timeresearchscientistsorteachingresearchscientistsand 115 postgraduate students. INRIA, the CNRS, and the University of Rennes 1 are all partners in this mixed research unit, and all three organizations were helpful in supporting MICCAI. MICCAI has become a premier international conference with in-depth - pe...
Information Processing in Medical Imaging
This book constitutes the refereed proceedings of the 15th International Conference on Information Processing in Medical Imaging, IPMI'97, held in Poultney, Vermont, USA, in June 1997. The 27 revised full papers presented were selected from a total of 96 submissions; also included are 31 poster presentations. The book is divided into topical sections on shape models and matching, novel imaging methods, segmentation, image quality and statistical character of measured data, registration/mapping, statistical models in functional neuroimaging, and MR analysis and processing.
Autism Autonomy
Autism Autonomy: In Search of Our Human Dignity provides a new and unifying methodological framework and discusses machine learning and biometrics techniques to diagnose, characterize, and treat patterns of sensory motor control underlying autism symptoms. With the hope of improving basic research in these areas, this volume will allow readers to design better interventions and provide awareness of a number of new technologies used in the autism field. Wearable bio-sensing technologies, machine learning, and AI methods are all discussed regarding their applications to provide better self-awareness, interaction, diagnosis, and prognosis.This volume is useful for researchers and clinicians int...
