Yiqiang Zhan – författare

Low-Dimensional Halide Perovskites: Structure, Properties and Applications provides an in-depth look at halide perovskite materials and their applications. Chapters cover history, fundamentals, physiochemical and optoelectronic properties, synthesis and characterization of traditional and Pb-free halide perovskites. The book concludes with sections describing the different applications of halide perovskites for solar cells, light-emitting diodes and photo detectors, as well as the challenges faced in the industrialization of halide perovskite-based devices and forward-thinking prospects for further deployment. Discusses the applications of halide perovskites according to their dimensionality Includes a look at current challenges for the commercialization of halide perovskites, while also previewing some possible solutions Presents alternative environmentally-friendly materials that can used to replace the current toxic materials-based halide perovskites

This book constitutes the refereed proceedings of the 4th International Workshop on Patch-Based Techniques in Medical Images, Patch-MI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018.The 15 full papers presented were carefully reviewed and selected from 17 submissions. The papers are organized in the following topical sections: Image Denoising¸ Image Registration and Matching, Image Classification and Detection, Brain Image Analysis, and Retinal Image Analysis.

This book constitutes the thoroughly refereedpost-workshop proceedings of the First International Workshop on Patch-based Techniquesin Medical Images, Patch-MI 2015, which was held in conjunction with MICCAI2015, in Munich, Germany, in October 2015.The 25 full papers presented in this volume werecarefully reviewed and selected from 35 submissions. The topics covered are suchas image segmentation of anatomical structures or lesions; image enhancement;computer-aided prognostic and diagnostic; multi-modality fusion; mono and multimodal image synthesis; image retrieval; dynamic, functional physiologic andanatomic imaging; super-pixel/voxel in medical image analysis; sparsedictionary learning and sparse coding; analysis of 2D, 2D+t, 3D, 3D+t, 4D, and4D+t data.

The main aim of the Patch-MI 2016 workshop is to promote methodological advances within the medical imaging field, with various applications in image segmentation, image denoising, image super-resolution, computer-aided diagnosis, image registration, abnormality detection, and image synthesis.