Elisenda Bonet-Carne; Jana Hutter; Marco Palombo; Marco Pizzolato; Farshid Sepehrband; Fan Zhang Springer Nature Switzerland AG (2020) Kovakantinen kirja
Carole H. Sudre; Roxane Licandro; Christian Baumgartner; Andrew Melbourne; Adrian Dalca; Jana Hutter; Ryutaro Tanno; Abac Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
Elisenda Bonet-Carne; Jana Hutter; Marco Palombo; Marco Pizzolato; Farshid Sepehrband; Fan Zhang Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
Qian Wang; Alberto Gomez; Jana Hutter; Kristin McLeod; Veronika Zimmer; Oliver Zettinig; Roxane Licandro; Emma Robinson Springer Nature Switzerland AG (2019) Pehmeäkantinen kirja
Yipeng Hu; Roxane Licandro; J. Alison Noble; Jana Hutter; Stephen Aylward; Andrew Melbourne; Esra Abaci Turk; Torrents Ba Springer Nature Switzerland AG (2020) Pehmeäkantinen kirja
Daphna Link-Sourani; Esra Abaci Turk; Christopher Macgowan; Jana Hutter; Andrew Melbourne; Roxane Licandro Springer International Publishing AG (2023) Pehmeäkantinen kirja
Daphna Link-Sourani (ed.); Esra Abaci Turk (ed.); Christopher Macgowan (ed.); Jana Hutter (ed.); Andrew Melbourne (ed.); Li Springer (2024) Pehmeäkantinen kirja
This book gathers papers presented at the Workshop on Computational Diffusion MRI, CDMRI 2020, held under the auspices of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), which took place virtually on October 8th, 2020, having originally been planned to take place in Lima, Peru.This book presents the latest developments in the highly active and rapidly growing field of diffusion MRI. While offering new perspectives on the most recent research challenges in the field, the selected articles also provide a valuable starting point for anyone interested in learning computational techniques for diffusion MRI. The book includes rigorous mathematical derivations, a large number of rich, full-colour visualizations, and clinically relevant results. As such, it is of interest to researchers and practitioners in the fields of computer science, MRI physics, and applied mathematics. The reader will find numerous contributions coveringa broad range of topics, from the mathematical foundations of the diffusion process and signal generation to new computational methods and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as diffusion-relaxometry and frontline applications in research and clinical practice.