Integration-and separation-aware adversarial model for cerebrovascular segmentation from TOF-MRA

C Chen, K Zhou, T Lu, H Ning, R Xiao - Computer Methods and Programs …, 2023 - Elsevier
Purpose Cerebrovascular segmentation from time-of-flight magnetic resonance angiography
(TOF-MRA) is important but challenging for the simulation and measurement of …

Generative adversarial network based cerebrovascular segmentation for time-of-flight magnetic resonance angiography image

Z Chen, L Xie, Y Chen, Q Zeng, Q ZhuGe, J Shen… - Neurocomputing, 2022 - Elsevier
The accurate segmentation of cerebral vessels from time-of-flight magnetic resonance
angiography (TOF-MRA) data is crucial for the diagnosis and treatment of cerebrovascular …

Cerebrovascular Segmentation in TOF-MRA with Topology Regularization Adversarial Model

C Chen, Y Chen, S Song, J Wang, H Ning… - Proceedings of the 31st …, 2023 - dl.acm.org
Time-of-flight magnetic resonance angiography (TOF-MRA) is a common cerebrovascular
imaging. Accurate and automatic cerebrovascular segmentation in TOF-MRA images is an …

Generative consistency for semi-supervised cerebrovascular segmentation from TOF-MRA

C Chen, K Zhou, Z Wang, R Xiao - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Cerebrovascular segmentation from Time-of-flight magnetic resonance angiography (TOF-
MRA) is a critical step in computer-aided diagnosis. In recent years, deep learning models …

Attention-assisted adversarial model for cerebrovascular segmentation in 3D TOF-MRA volumes

Y Chen, D Jin, B Guo, X Bai - IEEE Transactions on Medical …, 2022 - ieeexplore.ieee.org
Cerebrovascular segmentation in time-of-flight magnetic resonance angiography (TOF-
MRA) volumes is essential for a variety of diagnostic and analytical applications. However …

[HTML][HTML] Cerebrovascular segmentation from TOF-MRA using model-and data-driven method via sparse labels

B Zhang, S Liu, S Zhou, J Yang, C Wang, N Li, Z Wu… - Neurocomputing, 2020 - Elsevier
Cerebrovascular segmentation from time-of-flight magnetic resonance angiography (TOF-
MRA) data is of great importance in blood supply structure analysis, diagnosis, and …

Statistical intensity-and shape-modeling to automate cerebrovascular segmentation from TOF-MRA data

S Zhou, N Li, B Zhang, C Wang, Z Wu, J Yang… - … Image Computing and …, 2019 - Springer
Complete, automatic, and fast segmentation of cerebrovascular Time-of-flight (TOF)
Magnetic Resonance Angiography (MRA) is significant for the clinical application study …

Semi-supervised region-connectivity-based cerebrovascular segmentation for time-of-flight magnetic resonance angiography image

L Xie, Z Chen, X Sheng, Q Zeng, J Huang… - Computers in Biology …, 2022 - Elsevier
Deep-learning-based methods have achieved state-of-the-art results in cerebrovascular
segmentation. However, it is costly and time-consuming to acquire labeled data because of …

[HTML][HTML] Unsupervised cerebrovascular segmentation of TOF-MRA images based on deep neural network and hidden Markov random field model

S Fan, Y Bian, H Chen, Y Kang, Q Yang… - Frontiers in …, 2020 - frontiersin.org
Automated cerebrovascular segmentation of time-of-flight magnetic resonance angiography
(TOF-MRA) images is an important technique, which can be used to diagnose abnormalities …

Contour attention network for cerebrovascular segmentation from TOF‐MRA volumetric images

C Yang, H Zhang, D Chi, Y Li, Q Xiao, Y Bai… - Medical …, 2024 - Wiley Online Library
Background Cerebrovascular segmentation is a crucial step in the computer‐assisted
diagnosis of cerebrovascular pathologies. However, accurate extraction of cerebral vessels …