Preserving Tumor Volumes for Unsupervised Medical Image Registration-Reference-Cited by-同舟云学术

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Preserving Tumor Volumes for Unsupervised Medical Image Registration

Published:2023-10-01 Issue: Volume: Page:21151-21161
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
Short-container-title:

Author:

Dong Qihua¹,Du Hao¹,Song Ying²,Xu Yan³,Liao Jing¹

Affiliation:

1. City University of Hong Kong,Department of Computer Science

2. Chinese Academy of Medical Sciences and Peking Union Medical College,National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital

3. Beihang University,School of Biological Science and Medical Engineering

Funder

Innovation and Technology Commission

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377041.pdf?arnumber=10377041

Reference39 articles.

1. Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation

2. Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain

3. Advanced Normalization Tools: V1.0

4. The brain tumor sequence registration challenge: establishing correspondence between pre-operative and followup mri scans of diffuse glioma patients;Baheti,2021

5. An Unsupervised Learning Model for Deformable Medical Image Registration

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