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- posterDecember 2024
SS-FS CSA: Self-Supervised and Fully Supervised Integration for 3D Cerebrovascular Segmentation
MMAsia '24: Proceedings of the 6th ACM International Conference on Multimedia in AsiaArticle No.: 129, Pages 1–5https://doi.org/10.1145/3696409.3700291Three-dimensional cerebrovascular segmentation is crucial for accurate diagnosis and treatment planning of cerebrovascular diseases. However, the lack of high-quality publicly labelled datasets can limit sufficient training, leading to inaccurate results. ...
- research-articleMarch 2024
FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA
- Yue Cui,
- Haibin Huang,
- Jialu Liu,
- Mingyang Zhao,
- Chengyi Li,
- Xinyong Han,
- Na Luo,
- Jinquan Gao,
- Dong-Ming Yan,
- Chen Zhang,
- Tianzi Jiang,
- Shan Yu
Computers in Biology and Medicine (CBIM), Volume 170, Issue Chttps://doi.org/10.1016/j.compbiomed.2024.107996Abstract PurposeCerebrovascular segmentation and quantification of vascular morphological features in humans and rhesus monkeys are essential for prevention, diagnosis, and treatment of brain diseases. However, current automated whole-brain vessel ...
Highlights- Cerebrovascular segmentation was accomplished using FFCM-MRF.
- FFCM-MRF refers to fast fuzzy c-means clustering with Markov random field refinement.
- FFCM-MRF is a highly accurate, reliable, and generalizable method.
- An open-...
- ArticleSeptember 2023
SS-Net: 3D Spatial-Spectral Network for Cerebrovascular Segmentation in TOF-MRA
Artificial Neural Networks and Machine Learning – ICANN 2023Pages 149–159https://doi.org/10.1007/978-3-031-44213-1_13AbstractThe extraction of cerebrovascular structure plays a pivotal role in the diagnosis and analysis of various cerebrovascular diseases. However, cerebrovascular segmentation from time-of-flight magnetic resonance angiography (TOF-MRA) volumes remains ...
- research-articleMay 2023
Integration- and separation-aware adversarial model for cerebrovascular segmentation from TOF-MRA
Computer Methods and Programs in Biomedicine (CBIO), Volume 233, Issue Chttps://doi.org/10.1016/j.cmpb.2023.107475Highlights- An integration- and separation-aware adversarial model for segmentation.
- Image separation to focus on texture and edge awareness in feature space.
- Diversified discriminations enhance the model robust.
- Experiments and ...
Cerebrovascular segmentation from time-of-flight magnetic resonance angiography (TOF-MRA) is important but challenging for the simulation and measurement of cerebrovascular diseases. Recently, deep learning has promoted the rapid ...
- research-articleOctober 2022
Semi-supervised region-connectivity-based cerebrovascular segmentation for time-of-flight magnetic resonance angiography image
- Lei Xie,
- Zan Chen,
- Xuanshuo Sheng,
- Qingrun Zeng,
- Jiahao Huang,
- Caiyun Wen,
- Liang Wen,
- Guoqiang Xie,
- Yuanjing Feng
Computers in Biology and Medicine (CBIM), Volume 149, Issue Chttps://doi.org/10.1016/j.compbiomed.2022.105972AbstractDeep-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 the complex structure of cerebral vessels. In this paper, ...
Highlights- We present a semi-supervised cerebrovascular segmentation network, which helps to utilize the unlabeled data and greatly reduces the burden of manual ...
- research-articleOctober 2022
An automatic detection method of cerebral aneurysms in time-of-flight magnetic resonance angiography images based on attention 3D U-Net
Computer Methods and Programs in Biomedicine (CBIO), Volume 225, Issue Chttps://doi.org/10.1016/j.cmpb.2022.106998Highlights- Early detection of cerebral aneurysms can prevent cerebral hemorrhage.
- Magnetic ...
Subarachnoid hemorrhage caused by ruptured cerebral aneurysm often leads to fatal consequences. However, if the aneurysm can be found and treated during asymptomatic periods, the probability of rupture can be ...
- research-articleJune 2022
Generative adversarial network based cerebrovascular segmentation for time-of-flight magnetic resonance angiography image
Neurocomputing (NEUROC), Volume 488, Issue CPages 657–668https://doi.org/10.1016/j.neucom.2021.11.075AbstractThe accurate segmentation of cerebral vessels from time-of-flight magnetic resonance angiography (TOF-MRA) data is crucial for the diagnosis and treatment of cerebrovascular diseases. However, cerebrovascular segmentation remains ...
- research-articleOctober 2019
Numerical simulations of flows in cerebral aneurysms using the lattice Boltzmann method with single- and multiple-relaxation time collision models
Computers & Mathematics with Applications (CMAP), Volume 78, Issue 8Pages 2746–2760https://doi.org/10.1016/j.camwa.2019.04.021AbstractLattice Boltzmann simulations of flows in TOF-MRA-based cerebral aneurysm models are carried out using the single-, two- and multiple-relaxation time collision models, SRT, TRT and MRT, to investigate the effects of the collision model ...
- ArticleOctober 2019
Statistical Intensity- and Shape-Modeling to Automate Cerebrovascular Segmentation from TOF-MRA Data
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019Pages 164–172https://doi.org/10.1007/978-3-030-32245-8_19AbstractComplete, automatic, and fast segmentation of cerebrovascular Time-of-flight (TOF) Magnetic Resonance Angiography (MRA) is significant for the clinical application study, where vascular network coverage and accuracy are the focused issues. In our ...