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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learnin...
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; op...
Machine Learning in Clinical Neuroimaging
This book constitutes the refereed proceedings of the 6th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2023, held in Conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. The book includes 16 papers which were carefully reviewed and selected from 28 full-length submissions. The 6th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2023) aims to bring together the top researchers in both machine learning and clinical neuroscience as well as tech-savvy clinicians to address two main challenges: 1) development of methodological approaches for analyzing complex and heterogeneous neuroimaging data (machine learning track); and 2) filling the translational gap in applying existing machine learning methods in clinical practices (clinical neuroimaging track). The papers are categorzied into topical sub-headings on Machine Learning and Clinical Applications.
Dialectics of Spontaneity
In Dialectics of Spontaneity, Zhiyi Yang examines the aesthetic and ethical theories of Su Shi, the primary poet, artist, and statesman of Northern Song.
The Poetry of He Zhu (1052-1125)
The Northern Song poet He Zhu is best known for his lyrics (ci) but also produced shi poetry of subtlety, wit, and feeling. This study examines the latter as a response to the options available to a late-eleventh century writer in the pentametrical and heptametrical forms of Ancient Verse, Regulated Verse, and Quatrains. Numerous comparisons are made with Su Shi, Huang Tingjian, Du Fu, and other important writers. In a major advance over previous methodologies, the author uses a clear system of metrical notation to show how sound patterns reveal the poet's artistic and emotional intentions. This innovation and the author's other meticulous explorations of He Zhu's artistry allow us to experience Chinese poetry as never before. From the reader's report: "not just an excellent study of an individual poet but also a model of reading the language of classical Chinese poetry. [..] opens up a world of interpretive territory heretofore seldom explored."
The Chinese of Early Tucson
Focuses on an ethnographic collection gathered from a complex of Chinese dwellings, the importance of which lies in its size, diversity, good condition, and observable continuity of materials known from earlier periods of Chinese occupation in Tucson.
