18 Result(s)
within
**angyun Liao
English
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Article
Flow diverters treatment planning of small- and medium-sized intracranial saccular aneurysms on the internal carotid artery via constraint-based virtual deployment
The internal carotid artery (ICA) is a region with a high incidence for small- and medium-sized saccular aneurysms. However, the treatment relies heavily on the surgeon’s experience to achieve optimal outcome....
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Article
Open AccessPlaqueNet: deep learning enabled coronary artery plaque segmentation from coronary computed tomography angiography
Cardiovascular disease, primarily caused by atherosclerotic plaque formation, is a significant health concern. The early detection of these plaques is crucial for targeted therapies and reducing the risk of ca...
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Chapter and Conference Paper
Progressive Frequency-Aware Network for Laparoscopic Image Desmoking
Laparoscopic surgery offers minimally invasive procedures with better patient outcomes, but smoke presence challenges visibility and safety. Existing learning-based methods demand large datasets and high compu...
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Article
Open AccessHepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention
Segmentation of liver vessels from CT images is indispensable prior to surgical planning and aroused a broad range of interest in the medical image analysis community. Due to the complex structure and low-cont...
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Chapter and Conference Paper
Multi-BERT-wwm Model Based on Probabilistic Graph Strategy for Relation Extraction
As the core work of information extraction, relation extraction aims to find medical entity pairs with relations from the medical records. The current methods of relation extraction either ignore the relevance...
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Article
Open AccessMixed reality based respiratory liver tumor puncture navigation
This paper presents a novel mixed reality based navigation system for accurate respiratory liver tumor punctures in radiofrequency ablation (RFA). Our system contains an optical see-through head-mounted displa...
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Chapter and Conference Paper
Multipath Densely Connected Convolutional Neural Network for Brain Tumor Segmentation
This paper presents a novel Multipath Densely Connected Convolutional Neural Network (MDCNN) for automatically segmenting glioma with unknown sizes, shapes and positions. Our network architecture is based on t...
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Chapter and Conference Paper
Computational Modeling of Fluid–Structure Interaction Between Blood Flow and Mitral Valve
Mitral valve repair is a complex operation, in which the functionality of incompetent mitral valve is reconstructed by surgical techniques. Simulation-based surgical planning system, allowing surgeons to simul...
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Chapter and Conference Paper
Attention Based Hierarchical Aggregation Network for 3D Left Atrial Segmentation
Atrial fibrillation (AF) is the most common type of cardiac arrhythmia. The atrial segmentation is essential for the understanding of the human atria structure which is vital to the AF treatment. In this paper...
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Article
Open AccessAltered expression of K13 disrupts DNA replication and repair in Plasmodium falciparum
Plasmodium falciparum exhibits resistance to the artemisinin component of the frontline antimalarial treatment Artemisinin-based Combination Therapy in South East Asia. Millions of lives will be at risk if artemi...
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Article
Open AccessUnraveling the Plasmodium vivax sporozoite transcriptional journey from mosquito vector to human host
Malaria parasites transmitted by mosquito bite are remarkably efficient in establishing human infections. The infection process requires roughly 30 minutes and is highly complex as quiescent sporozoites inject...
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Chapter and Conference Paper
3D Deeply-Supervised U-Net Based Whole Heart Segmentation
Accurate whole-heart segmentation from multi-modality medical images (MRI, CT) plays an important role in many clinical applications, such as precision surgical planning and improvement of diagnosis and treatm...
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Article
Open AccessPersonalized heterogeneous deformable model for fast volumetric registration
Biomechanical deformable volumetric registration can help improve safety of surgical interventions by ensuring the operations are extremely precise. However, this technique has been limited by the accuracy and...
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Chapter and Conference Paper
Improved Compressed Sensing Based 3D Soft Tissue Surface Reconstruction
This paper presents a 3D soft tissue surface reconstruction method based on improved compressed sensing and radial basis function interpolation for a small amount of uniform sampling data points on 3D surface....
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Chapter and Conference Paper
Coupled Tissue Bleeding Simulation in Virtual Surgery
Tissue bleeding simulation is the key problem in virtual surgery, which greatly reduces the risk of real surgery. It also plays an important role in the application of fluid-solid coupling. Traditional methods...
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Article
Parallel computing of 3D smoking simulation based on OpenCL heterogeneous platform
Open Computing Language (OpenCL) is an open royalty-free standard for general purpose parallel programming across Central Processing Units (CPUs), Graphic Processing Units (GPUs) and other processors. This pap...
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Chapter and Conference Paper
A Robust Physics-Based 3D Soft Tissue Parameters Estimation Method for War** Dynamics Simulation
Soft tissue war** is one of the key technologies in dynamic simulation of many surgical procedures. To achieve high performance simulation of 3D soft tissue war**, the research of physical parameters estim...
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Chapter and Conference Paper
A Method for Space Tracking and Positioning of Surgical Instruments in Virtual Surgery Simulation
As the unique interface for users to communicate with virtual environment, space tracking and positioning apparatus of surgical instruments is an indispensable part of virtual surgery simulation system. A meth...
