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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
Multimodal MRI segmentation of key structures for microvascular decompression via knowledge-driven mutual distillation and topological constraints
Microvascular decompression (MVD) is a widely used neurosurgical intervention for the treatment of cranial nerves compression. Segmentation of MVD-related structures, including the brainstem, nerves, arteries,...
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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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Article
Morphology-aware multi-source fusion–based intracranial aneurysms rupture prediction
We proposed a new approach to train deep learning model for aneurysm rupture prediction which only uses a limited amount of labeled data.
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Article
Open AccessAuthor Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
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Article
Amplitude-frequency-aware deep fusion network for optimal contact selection on STN-DBS electrodes
Parkinson’s disease (PD) is treated effectively by deep brain stimulation (DBS) of the subthalamic nucleus (STN), using an electrode inserted into the head of a PD patient. The electrode has multiple electrica...
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Article
Automatic identification of sweet spots from MERs for electrodes implantation in STN-DBS
Microelectrode recordings (MERs) are a significant clinical indicator for sweet spots identification of implanted electrodes during deep brain stimulation of the subthalamic nucleus (STN) surgery. As 1D MERs s...
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Article
Open AccessFederated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
Data privacy mechanisms are essential for rapidly scaling medical training databases to capture the heterogeneity of patient data distributions toward robust and generalizable machine learning systems. In the ...
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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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Article
Complement Complex C5b-9 Levels Are Associated with the Clinical Outcomes of Acute Ischemic Stroke and Carotid Plaque Stability
The terminal complement complex C5b-9 plays an important role in acute ischemic stroke (AIS) and carotid atherosclerosis. However, the associations between serum C5b-9, the severity and outcome of AIS, and the...
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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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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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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...
