Deqiang Xiao
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Explore the profile of Deqiang Xiao including associated specialties, affiliations and a list of published articles.
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50
Citations
202
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Recent Articles
1.
Yang Y, Fan J, Fu T, Xiao D, Ma D, Song H, et al.
Comput Med Imaging Graph
. 2025 Jan;
120:102483.
PMID: 39778310
In skull base surgery, the method of using a probe to draw or 3D scanners to acquire intraoperative facial point clouds for spatial registration presents several issues. Manual manipulation results...
2.
Jiang J, Fu T, Liu J, Wang Y, Fan J, Song H, et al.
J Mech Behav Biomed Mater
. 2024 Aug;
158:106682.
PMID: 39142234
In virtual surgical training, it is crucial to achieve real-time, high-fidelity simulation of the tissue deformation. The anisotropic and nonlinear characteristics of the organ with multi-component make accurate real-time deformation...
3.
Li X, Ai D, Song H, Fan J, Fu T, Xiao D, et al.
IEEE Trans Pattern Anal Mach Intell
. 2024 Jul;
46(12):9908-9920.
PMID: 39024088
Detecting coronary stenosis accurately in X-ray angiography (XRA) is important for diagnosing and treating coronary artery disease (CAD). However, challenges arise from factors like breathing and heart motion, poor imaging...
4.
Han T, Ai D, Fan J, Song H, Xiao D, Wang Y, et al.
IEEE J Biomed Health Inform
. 2024 Jul;
28(10):6064-6077.
PMID: 38954568
Deep learning methods have recently achieved remarkable performance in vessel segmentation applications, yet require numerous labor-intensive labeled data. To alleviate the requirement of manual annotation, transfer learning methods can potentially...
5.
Chen Y, Ai D, Yu Y, Fan J, Yu W, Xiao D, et al.
Med Phys
. 2024 Jun;
51(9):6103-6119.
PMID: 38865713
Background: Inferring the shape and position of coronary artery poses challenges when using fluoroscopic image guidance during percutaneous coronary intervention (PCI) procedure. Although angiography enables coronary artery visualization, the use...
6.
Zhang J, Fu T, Xiao D, Fan J, Song H, Ai D, et al.
IEEE Trans Image Process
. 2024 Jun;
33:3676-3691.
PMID: 38837936
Medical image segmentation and registration are two fundamental and highly related tasks. However, current works focus on the mutual promotion between the two at the loss function level, ignoring the...
7.
Geng H, Fan J, Yang S, Chen S, Xiao D, Ai D, et al.
IEEE Trans Med Imaging
. 2024 May;
43(11):3909-3923.
PMID: 38805326
Accurately reconstructing 4D critical organs contributes to the visual guidance in X-ray image-guided interventional operation. Current methods estimate intraoperative dynamic meshes by refining a static initial organ mesh from the...
8.
Chen X, Liu Q, Deng H, Kuang T, Lin H, Xiao D, et al.
Pattern Recognit
. 2024 Apr;
152.
PMID: 38645435
Deep learning models for medical image segmentation are usually trained with voxel-wise losses, e.g., cross-entropy loss, focusing on unary supervision without considering inter-voxel relationships. This oversight potentially leads to semantically...
9.
Shao L, Fu T, Lin Y, Xiao D, Ai D, Zhang T, et al.
Comput Methods Programs Biomed
. 2024 Mar;
248:108108.
PMID: 38461712
Background: The existing face matching method requires a point cloud to be drawn on the real face for registration, which results in low registration accuracy due to the irregular deformation...
10.
Li J, Fu T, Song H, Fan J, Xiao D, Lin Y, et al.
IEEE J Biomed Health Inform
. 2024 Mar;
28(5):2916-2929.
PMID: 38437146
In recent years, 4D medical image involving structural and motion information of tissue has attracted increasing attention. The key to the 4D image reconstruction is to stack the 2D slices...