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Keypoint Transfer for Fast Whole-Body Segmentation

  • Published:2020-02 Issue:2 Volume:39 Page:273-282
  • ISSN:0278-0062
  • Container-title:IEEE Transactions on Medical Imaging
  • language:
  • Short-container-title:IEEE Trans. Med. Imaging

Author:

Wachinger ChristianORCID,Toews MatthewORCID,Langs Georg,Wells William,Golland Polina

Funder

Bayerisches Staatsministerium für Bildung und Kultus, Wissenschaft und Kunst

Alexander von Humboldt-Stiftung

National Alliance for Medical Image Computing

NeuroImaging Analysis Center

National Center for Image Guided Therapy

Wistron Corporation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Instance Segmentation of Nematode Image Based on Transformer with Skeleton Points;2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE);2024-03-01

2. Anatomy-aware and acquisition-agnostic joint registration with SynthMorph;Imaging Neuroscience;2024

3. A robust and interpretable deep learning framework for multi-modal registration via keypoints;Medical Image Analysis;2023-12

4. A Comprehensive Analysis of Interaction Based Segmentation Using Deep Learning Techniques;2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2023-02-18

5. Whole-Body Keypoint and Skeleton Augmented RGB Networks for Video Action Recognition;Applied Sciences;2022-06-18
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