Cerebrovascular Landmark Detection under Anatomical Variations
Author:
Affiliation:
1. Tsinghua University,Department of Automation,Beijing,China
2. UnionStrong (Beijing) Technology Co. Ltd,Beijing,China
Funder
Capital Medical University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9761376/9761399/09761535.pdf?arnumber=9761535
Reference25 articles.
1. Integrating spatial configuration into heatmap regression based CNNs for landmark localization
2. Landmarks detection with anatomical constraints for total hip arthroplasty preoperative measurements;liu;MICCAI,2020
3. Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network
4. Multi-Task Learning Network for Landmark Detection in Anatomical Tree Structures
5. CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging
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1. Multi-task global optimization-based method for vascular landmark detection;Computerized Medical Imaging and Graphics;2024-06
2. Adversarial Learning Framework for Cerebrovascular Landmark Detection Using Cross-Modality Information;2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI);2023-04-18
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