By Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells
The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed complaints of the nineteenth foreign convention on scientific picture Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016.
Based on rigorous peer stories, this system committee rigorously chosen 228 revised average papers from 756 submissions for presentation in 3 volumes. The papers were equipped within the following topical sections: half I: mind research; mind research - connectivity; mind research - cortical morphology; Alzheimer disorder; surgical information and monitoring; computing device aided interventions; ultrasound snapshot research; melanoma snapshot research; half II: desktop studying and have choice; deep studying in clinical imaging; functions of desktop studying; segmentation; cellphone photograph research; half III: registration and deformation estimation; form modeling; cardiac and vascular picture research; picture reconstruction; and MR photograph analysis.
Read Online or Download Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I PDF
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Additional info for Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I
Julien Pansiot and Edmond Boyer Semantic Reconstruction-Based Nuclear Cataract Grading from Slit-Lamp Lens Images . . . . . . . . . . . . . . . . . Yanwu Xu, Lixin Duan, Damon Wing Kee Wong, Tien Yin Wong, and Jiang Liu Vessel Orientation Constrained Quantitative Susceptibility Mapping (QSM) Reconstruction . . . . . . . . . . . . . . . . . . . . Suheyla Cetin, Berkin Bilgic, Audrey Fan, Samantha Holdsworth, and Gozde Unal Spatial-Angular Sparse Coding for HARDI .
Khalifa, A. Soliman, M. Abou El-Ghar, A. Dwyer, G. Gimel’farb, R. Keynton, and A. El-Baz 613 Comprehensive Maximum Likelihood Estimation of Diffusion Compartment Models Towards Reliable Mapping of Brain Microstructure . . Aymeric Stamm, Olivier Commowick, Simon K. Warfield, and S. Vantini 622 Author Index . . . . . . . . . . . . . . . . . . . . . . cn Abstract. , Alzheimer’s disease (AD), mild cognitive impairment (MCI), and attention deﬁcit hyperactivity disorder (ADHD). Although several network descriptors have been designed for representing brain connectivity networks, most of them not only ignore the important weight information of edges, but also cannot capture the modular local structures of brain connectivity networks by only focusing on individual brain regions.
S. Chung 513 Deep Fusion Net for Multi-atlas Segmentation: Application to Cardiac MR Images . . . . . . . . . . . . . . . . . . . . . . . Heran Yang, Jian Sun, Huibin Li, Lisheng Wang, and Zongben Xu 521 Prior-Based Coregistration and Cosegmentation . . . . . . . . . . . Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas, Sarah Lippé, Samuel Kadoury, Iasonas Kokkinos, and Nikos Paragios 529 Globally Optimal Label Fusion with Shape Priors . . .