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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures

in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI;

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis

This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning;

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Medical Image Computing and Computer Assisted Intervention - MICCAI 2021

learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided;

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Multimodal Learning for Clinical Decision Support and Clinical Image Based Proce

Support, ML-CDS 2020, and the 9th International Workshop on Clinical Image-Based Procedures, CLIP 2020, held in conjunction with the 23rd;

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Machine Learning and Medical Imaging

world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs;

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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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Medical Image Recognition, Segmentation and Parsing

medical image recognition, segmentation and parsing of multiple objects Efficient and effective machine learning solutions based on big;

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Retinal Optical Coherence Tomography Image Analysis

clinical data. It is a valuable resource for researchers in both medical image processing and ophthalmic imaging.;

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Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures

2017, and the 6th International Workshop on Clinical Image-Based Procedures: Translational Research in Medical Imaging, CLIP 2017, held;

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Medical Imaging and Computer Aided Diagnosis

This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma;

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Advanced Machine Vision Paradigms for Medical Image Analysis

. However, due to the unstructured nature of medical imaging data and the volume of data produced during routine clinical processes, the;

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Machine Learning in Medical Imaging

, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection;

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Advancement of Machine Intelligence in Interactive Medical Image Analysis

in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.;

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Advancement of Machine Intelligence in Interactive Medical Image Analysis

in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.;

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Computational Intelligence in Medical Imaging

CI Techniques & Algorithms for a Variety of Medical Imaging SituationsDocuments recent advances and stimulates further research A;

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Computational Intelligence in Medical Imaging

CI Techniques & Algorithms for a Variety of Medical Imaging SituationsDocuments recent advances and stimulates further research A;

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Machine Learning in Medical Imaging

and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical;

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Medical Image Computing and Computer-Assisted Intervention MICCAI 2017

. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical;

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Medical Image Computing and Computer Assisted Intervention MICCAI 2017

. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical;

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Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing

learning in medical image processing. The authors also discuss implementation strategies and future research directions for the design and;

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Machine Learning for Medical Image Reconstruction

This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning for Medical Reconstruction, MLMIR;

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Clinical Image-Based Procedures. Translational Research in Medical Imaging

This book constitutes revised selected papers from the 4th International Workshop on Clinical Image-Based Procedures, CLIP 2015, held;

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Machine Learning for Medical Image Reconstruction

This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR;

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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 Part I

The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image;

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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 7-21, 2016, Proceedings, Part II

The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image;

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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016 Part III

The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image;

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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014

have been organized in the following topical sections: biophysical modeling and simulation; atlas-based transfer of boundary conditions for;

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