Mid-space-independent deformable image registration-Reference-Cited by-同舟云学术

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Mid-space-independent deformable image registration

Published:2017-05 Issue: Volume:152 Page:158-170
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Aganj Iman,Iglesias Juan Eugenio,Reuter Martin,Sabuncu Mert Rory,Fischl Bruce

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

National Institute for Biomedical Imaging and Bioengineering

National Institute on Aging

National Center for Alternative Medicine

National Institute for Neurological Disorders and Stroke

National Cancer Institute

NIH

BrightFocus Foundation

Massachusetts Alzheimer’s Disease Research Center

Ellison Medical Foundation

Spanish Ministry of Economy and Competitiveness

Marie Sklodowska-Curie Grant

European Research Council

Microsoft Azure for Research Award

NVIDIA Corporation GPU Grant

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference53 articles.

1. On removing interpolation and resampling artifacts in rigid image registration;Aganj;Image Process. IEEE Trans.,2013

2. Avoiding symmetry-breaking spatial non-uniformity in deformable image registration via a quasi-volume-preserving constraint;Aganj;NeuroImage,2015

3. Aganj, I., Iglesias, J.E., Reuter, M., Sabuncu, M.R., Fischl, B., 2015a. Mid-space-independent symmetric data term for pairwise deformable image registration. Medical Image Computing and Computer-Assisted Intervention – MICCAI, Munich, Germany.

4. Assessment of brain growth in early childhood using deformation-based morphometry;Aljabar;NeuroImage,2008

5. Towards a coherent statistical framework for dense deformable template estimation;Allassonnière;J. R. Stat. Soc.: Ser. B (Stat. Methodol.),2007

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