Unsupervised Deep Learning Network for Deformable Fundus Image Registration-Reference-Cited by-同舟云学术

Unsupervised Deep Learning Network for Deformable Fundus Image Registration

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Benvenuto Giovana Augusta¹,Colnago Marilaine²,Casaca Wallace²

Affiliation:

1. São Paulo State University,Faculty of Science and Technology,Presidente Prudente,Brazil

2. São Paulo State University,Department of Energy Engineering,Rosana,Brazil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747686.pdf?arnumber=9747686

Reference23 articles.

1. A segmentation based robust deep learning framework for multimodal retinal image registration;wang;IEEE International Conference on Acoustics Speech and Signal Processing,2020

2. Multi-scale U-net with Edge Guidance for Multimodal Retinal Image Deformable Registration

3. Deep learning in medical image registration: a survey

4. Learning Mri Contrast-Agnostic Registration

5. U-Net: Convolutional Networks for Biomedical Image Segmentation;ronneberger,2015

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2. Vista Morph - Unsupervised Image Registration of Visible-Thermal Facial Pairs;2023 IEEE International Joint Conference on Biometrics (IJCB);2023-09-25

3. A Straightforward Bifurcation Pattern-Based Fundus Image Registration Method;Sensors;2023-09-11

4. A Fully Unsupervised Deep Learning Framework for Non-Rigid Fundus Image Registration;Bioengineering;2022-08-05