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Medical Image Computing and Computer Assisted Intervention − MICCAI 2017
The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy. Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression. Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging. Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis. Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in m...
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016
The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016. Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis, brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation; shape modeling; cardiac and vascular image analysis; image reconstruction; and MR image analysis.
Workflow Optimisation for Radiological Imaging
Deep learning techniques have been shown to successfully address many medical image technical problems, e.g., segmentation, lesion detection, image registration, etc., better than ever. Accordingly, the development of artificial intelligence (AI) applications in medicine is continuously booming in these years for the attempt to improve various image-related medical procedures and workflows. The applications aim to improve the workup of image diagnosis, optimize the imaging workflow, offload the tedious medical tasks, and provide richer and more holistic cues for treatment planning. Specific prominent applications may range from lesion detections like pulmonary nodules and breast lesions, can...
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018. The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histo...
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
The three-volume set LNCS 9349, 9350, and 9351 constitutes the refereed proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, held in Munich, Germany, in October 2015. Based on rigorous peer reviews, the program committee carefully selected 263 revised papers from 810 submissions for presentation in three volumes. The papers have been organized in the following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided diagnosis: automation; quantitative image analysis II: classification, detection, features, and morphology; advanced MRI: diffusion, fMRI, DCE; quantitative image analysis III: motion, deformation, development and degeneration; quantitative image analysis IV: microscopy, fluorescence and histological imagery; registration: method and advanced applications; reconstruction, image formation, advanced acquisition - computational imaging; modelling and simulation for diagnosis and interventional planning; computer-assisted and image-guided interventions.
Medical Imaging and Augmented Reality
This book constitutes the refereed proceedings of the 5th International Workshop on Medical Imaging and Augmented Reality, MIAR 2010, held in Beijing, China, in September 2010. The 60 revised full papers presented were carefully reviewed and selected from 139 submissions. The papers are organized in topical sections on image segmentation, image registration, shape modeling and morphometry, image analysis, diffusion tensor image, computer assisted intervention, medical image computing, visualization and application, segmentation and classification, medical image understanding, image-guided surgery, and augmented reality.
Reading for the Moral
Reassesses didacticism in seventeenth-century Chinese vernacular fiction and challenges the view that the late Ming was a notoriously immoral time. Reading for the Moral offers an innovative reassessment of the nature of moral representation and exemplarity in Chinese vernacular fiction. Maria Franca Sibau focuses on two little-studied story collections published at the end of the Ming dynasty, Exemplary Words for the World (Xingshi yan, 1632) and Bell in the Still Night (Qingye zhong, c. 1645). Far from being tediously moralistic tales, these stories of loyal ministers, filial children, chaste widows, and selfless friends provide a deeper understanding of the five cardinal relationships cen...
In the Shadows of the Dao
Thomas Michael's study of the early history of the Daodejing reveals that the work is grounded in a unique tradition of early Daoism, one unrelated to other early Chinese schools of thought and practice. The text is associated with a tradition of hermits committed to yangsheng, a particular practice of physical cultivation involving techniques of breath circulation in combination with specific bodily movements leading to a physical union with the Dao. Michael explores the ways in which the text systematically anchored these techniques to a Dao-centered worldview. Including a new translation of the Daodejing, In the Shadows of the Dao opens new approaches to understanding the early history of one of the world's great religious texts and great religious traditions.
