{"product_id":"riemannian-geometric-statistics-in-medical-xavier-pennec-9780128147252","title":"Riemannian Geometric Statistics in Medical Image Analysis","description":"\u003cp\u003eOver the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational frameworks for analyzing such data.\u003c\/p\u003e\u003ci\u003e \u003c\/i\u003e\u003cp\u003eRiemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with applications in medical image analysis. It provides an introduction to the core methodology followed by a presentation of state-of-the-art methods.\u003c\/p\u003e \u003cp\u003eBeyond medical image computing, the methods described in this book may also apply to other domains such as signal processing, computer vision, geometric deep learning, and other domains where statistics on geometric features appear. As such, the presented core methodology takes its place in the field of geometric statistics, the statistical analysis of data being elements of nonlinear geometric spaces. The foundational material and the advanced techniques presented in the later parts of the book can be useful in domains outside medical imaging and present important applications of geometric statistics methodology\u003c\/p\u003e\u003cb\u003e \u003c\/b\u003e\u003cp\u003eContent includes: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eThe foundations of Riemannian geometric methods for statistics on manifolds with emphasis on concepts rather than on proofs\u003c\/li\u003e \u003cli\u003eApplications of statistics on manifolds and shape spaces in medical image computing\u003c\/li\u003e \u003cli\u003eDiffeomorphic deformations and their applications\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eAs the methods described apply to domains such as signal processing (radar signal processing and brain computer interaction), computer vision (object and face recognition), and other domains where statistics of geometric features appear, this book is suitable for researchers and graduate students in medical imaging, engineering and computer science.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Xavier Pennec\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 0128147253\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9780128147252\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Academic Press\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 09\/04\/2019\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 636\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 2.37lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.25h x 7.50w x 1.28d","brand":"Xavier Pennec","offers":[{"title":"Paperback","offer_id":48086375891199,"sku":"9780128147252","price":125.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_f26c5e5f-80ce-434f-851e-b16a4835c33a.jpg?v=1769094335","url":"https:\/\/www.whiterainbookhouse.com\/products\/riemannian-geometric-statistics-in-medical-xavier-pennec-9780128147252","provider":"WR Book House","version":"1.0","type":"link"}