Markerless Respiratory Tumor Motion Prediction Using an Adaptive Neuro-fuzzy Approach-Reference-Cited by-同舟云学术

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Markerless Respiratory Tumor Motion Prediction Using an Adaptive Neuro-fuzzy Approach

Published:2018 Issue:1 Volume:8 Page:25
ISSN:2228-7477
Container-title:Journal of Medical Signals & Sensors
language:en
Short-container-title:J Med Signals Sens

Author:

Jabbari Keyvan,Rostampour Nima,Esmaeili Mahdad,Mohammadi Mohammad,Nabavi Shahabedin

Publisher

Medknow

Subject

Health Informatics,Radiology Nuclear Medicine and imaging,Biomedical Engineering,Radiological and Ultrasound Technology,Computer Science (miscellaneous)

Cited by 8 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. Real Time Lung Tumor Tracking Based on Biomechanical Modeling and LSTM Network Models of the Respiratory Movement for Radiation Therapy;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

2. Extracting lung contour deformation features with deep learning for internal target motion tracking: a preliminary study;Physics in Medicine & Biology;2023-09-22

3. Prediction of free-breathing 4DCT lung deformation using probabilistic motion auto-encoders;Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling;2023-04-03

4. Recent Applications of Artificial Intelligence in Radiotherapy: Where We Are and Beyond;Applied Sciences;2022-03-22

5. PET respiratory motion correction: quo vadis?;Physics in Medicine & Biology;2022-02-01

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