Your Location：
Home >
Browse articles >
Q-space-coordinate-guided neural networks for high-fidelity diffusion tensor estimation from minimal diffusion-weighted images
Regular Papers | Updated：2025-09-04

    • Q-space-coordinate-guided neural networks for high-fidelity diffusion tensor estimation from minimal diffusion-weighted images

      Enhanced Publication
    • Q空间坐标引导的神经网络从最小数量扩散加权图像中实现高保真扩散张量估计
    • “In the field of diffusion tensor imaging (DTI), a new deep neural network called q-space-coordinate-guided diffusion tensor imaging (QCG-DTI) has been developed. This technology can efficiently and accurately estimate diffusion tensors (DTs) under flexible q-space sampling schemes, providing a new direction for DTI research.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 8, Pages: 1305-1323(2025)

    • DOI：10.1631/FITEE.2400766    

      CLC： TP391.4

    • Received：03 September 2024，

      Revised：2025-01-24，

      Published：2025-08

    Scan QR Code

  • Maokun ZHENG, Zhi LI, Long ZHENG, et al. Q-space-coordinate-guided neural networks for high-fidelity diffusion tensor estimation from minimal diffusion-weighted images[J]. Frontiers of information technology & electronic engineering, 2025, 26(8): 1305-1323. DOI： 10.1631/FITEE.2400766.

  •  
  •  

0

Views

10

Downloads

0

CSCD

PlumX

>
Alert me when the article has been cited
Submit
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

CRGT-SA: an interlaced and spatiotemporal deep learning model for network intrusion detection
Federated model with contrastive learning and adaptive control variates for human activity recognition
A comprehensive survey of physical adversarial vulnerabilities in autonomous driving systems
Automatic parallelism strategy generation with minimal memory redundancy
Visual knowledge in the big model era: retrospect and prospect

Related Author

Jue CHEN
Wanxiao LIU
Xihe QIU
Wenjing LV
Yujie XIONG
Ignatius IWAN
Bernardo Nugroho YAHYA
Seok-Lyong LEE

Related Institution

School of Electronic and Electrical Engineering, Shanghai University of Engineering Science
Department of Industrial and Management Engineering, Hankuk University of Foreign Studies
CATARC Intelligent and Connected Technology Co., Ltd.
Tianjin Key Lab of Machine Learning
College of Intelligence and Computing, Tianjin University
0