Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies-Reference-Cited by-同舟云学术

Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies

Published:2023 Issue: Volume:39 Page:103483
ISSN:2213-1582
Container-title:NeuroImage: Clinical
language:en
Short-container-title:NeuroImage: Clinical

Author:

Aja-Fernández Santiago,Martín-Martín Carmen,Planchuelo-Gómez Álvaro,Faiyaz Abrar^ORCID,Uddin Md Nasir,Schifitto Giovanni^ORCID,Tiwari Abhishek^ORCID,Shigwan Saurabh J.^ORCID,Kumar Singh Rajeev,Zheng Tianshu,Cao Zuozhen,Wu Dan,Blumberg Stefano B.,Sen Snigdha^ORCID,Goodwin-Allcock Tobias,Slator Paddy J.^ORCID,Yigit Avci Mehmet,Li Zihan^ORCID,Bilgic Berkin,Tian Qiyuan,Wang Xinyi,Tang Zihao^ORCID,Cabezas Mariano^ORCID,Rauland Amelie^ORCID,Merhof Dorit^ORCID,Manzano Maria Renata,Campos Vinícius Paraníba,Santini Tales^ORCID,da Costa Vieira Marcelo Andrade,HashemizadehKolowri SeyyedKazem^ORCID,DiBella Edward^ORCID,Peng Chenxu,Shen Zhimin,Chen Zan,Ullah Irfan^ORCID,Mani Merry,Abdolmotalleby Hesam^ORCID,Eckstrom Samuel,Baete Steven H.^ORCID,Filipiak Patryk^ORCID,Dong Tanxin,Fan Qiuyun,de Luis-García Rodrigo,Tristán-Vega Antonio,Pieciak Tomasz^ORCID

Funder

Ministry of Science and Technology of the People's Republic of China

Gobierno de España Agencia Estatal de Investigación

National Institutes of Health

España Ministerio de Ciencia e Innovación

Engineering and Physical Sciences Research Council

European Union

German Research Foundation

National Natural Science Foundation of China

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV