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Big Data in Multimodal Medical Imaging

analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this;

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Big Data in Multimodal Medical Imaging

analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this;

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Multimodal Analytics for Next-Generation Big Data Technologies and Applications

data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data;

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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support

in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held;

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Multimodal Retrieval in the Medical Domain

This book constitutes the proceedings of the First International Workshop on Multimodal Retrieval in the Medical Domain, MRMD 2015, held;

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Big Data in Medical Image Processing

of images. This book is divided into the following domains: Importance of big data in medical imaging, pre-processing, image registration;

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Big Data in Medical Image Processing

of images. This book is divided into the following domains: Importance of big data in medical imaging, pre-processing, image registration;

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Medical Computer Vision: Algorithms for Big Data

: Algorithms for Big Data, MCV 2014, held in Cambridge, MA, USA, in September 2019, in conjunction with the 17th International Conference on Medical;

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Biomedical Data Management and Graph Online Querying

This book constitutes the refereed proceedings of the two International Workshops on Big-Graphs Online Querying, Big-O(Q) 2015, and Data;

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Medical Content-Based Retrieval for Clinical Decision Support

reviewed and selected from 15 submissions. The papers are divided on several topics on image analysis of visual or multimodal medical data (X-ray;

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Medical Big Data and Internet of Medical Things

Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly;

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Health Monitoring and Personalized Feedback using Multimedia Data

, multimodal data plays an increasingly central role in healthcare. Experts in computer vision, image processing, medical imaging, biomedical;

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Big Data in Radiation Oncology

Big Data in Radiation Oncology gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients;

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Big Data in Radiation Oncology

Big Data in Radiation Oncology gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients;

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Multimodal Imaging in Neurology

of multimodal imaging with respect to concepts, data acquisition, and postprocessing. Examples for intermodal and intramodal multimodality imaging are;

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Image Fusion in Preclinical Applications

This book provides an accessible and comprehensive overview of the state of the art in multimodal, multiparametric preclinical imaging;

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Machine Learning and Medical Imaging

recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the;

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Multimodal Learning for Clinical Decision Support and Clinical Image Based Proce

multimodal data sets for clinical decision support and treatment planning. The CLIP workshops provides a forum for work centered on specific clinical;

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Multimodal Imaging in Neurology

of multimodal imaging with respect to concepts, data acquisition, and postprocessing. Examples for intermodal and intramodal multimodality imaging are;

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Nanobiomaterials In Medical Imaging

Nanobiomaterials in Medical Imaging presents the latest developments in medical exploratory approaches using nanotechnology. Leading;

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PACSBased Multimedia Imaging Informatics

sections cover Medical Imaging, Industrial Guidelines, Standards, and Compliance; Informatics, Data Grid, Workstation, Radiation Therapy;

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Machine Learning, Big Data, and IoT for Medical Informatics

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic;

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Medical Imaging

descriptions of current state-of-the-art medical imaging systems (comprised of x-ray CT, MRI, ultrasound, and nuclear medicine) and data processing;

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Deep Learning and Edge Computing Solutions for High Performance Computing

identification, object tracking, human action recognition, and cross-modal and multimodal data analysis. High performance computing systems for;

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Information Technology in Biomedicine

The rapid and continuous growth in the amount of available medical information and the variety of multimodal content has created demand for;

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