Search Results - "Si, Weixin"
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Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
Published in NPJ digital medicine (29-03-2021)“…Data privacy mechanisms are essential for rapidly scaling medical training databases to capture the heterogeneity of patient data distributions toward robust…”
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2
Constraint-Based Optimized Human Skeleton Extraction from Single-Depth Camera
Published in Sensors (Basel, Switzerland) (07-06-2019)“…As a cutting-edge research topic in computer vision and graphics for decades, human skeleton extraction from single-depth camera remains challenging due to…”
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3
Risk prediction and analysis of gallbladder polyps with deep neural network
Published in Computer assisted surgery (Abingdon, England) (01-12-2024)“…The aim of this study is to analyze the risk factors associated with the development of adenomatous and malignant polyps in the gallbladder. Adenomatous polyps…”
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4
Mixed Reality Guided Radiofrequency Needle Placement: A Pilot Study
Published in IEEE access (01-01-2018)“…This paper presents a novel mixed reality (MR) guidance method for liver tumors radiofrequency ablation (RFA). Compared with traditional computed tomography…”
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5
A novel simulator-based checklist for evaluating residents' competence in cerebral angiography in China
Published in Frontiers in neurology (16-02-2023)“…Nowadays, with the fast-increasing demand for neuro-endovascular therapy, surgeons in this field are in urgent need. Unfortunately, there is still no formal…”
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6
Flow diverters treatment planning of small- and medium-sized intracranial saccular aneurysms on the internal carotid artery via constraint-based virtual deployment
Published in International journal for computer assisted radiology and surgery (01-06-2024)“…Purpose The internal carotid artery (ICA) is a region with a high incidence for small- and medium-sized saccular aneurysms. However, the treatment relies…”
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Enhancing the depth perception of DSA images with 2D-3D registration
Published in Frontiers in neurology (08-02-2023)“…Today, cerebrovascular disease has become an important health hazard. Therefore, it is necessary to perform a more accurate and less time-consuming…”
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8
Animating Wall-Bounded Turbulent Smoke via Filament-Mesh Particle-Particle Method
Published in IEEE transactions on visualization and computer graphics (01-03-2018)“…Turbulent vortices in smoke flows are crucial for a visually interesting appearance. Unfortunately, it is challenging to efficiently simulate these appealing…”
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Automatic identification of sweet spots from MERs for electrodes implantation in STN-DBS
Published in International journal for computer assisted radiology and surgery (01-05-2021)“…Purpose Microelectrode recordings (MERs) are a significant clinical indicator for sweet spots identification of implanted electrodes during deep brain…”
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10
PlaqueNet: deep learning enabled coronary artery plaque segmentation from coronary computed tomography angiography
Published in Visual computing for industry, biomedicine and art (22-03-2024)“…Cardiovascular disease, primarily caused by atherosclerotic plaque formation, is a significant health concern. The early detection of these plaques is crucial…”
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Towards Interactive Progressive Cutting of Deformable Bodies via Phyxel-Associated Surface Mesh Approach for Virtual Surgery
Published in IEEE access (01-01-2018)“…Interactive progressive cutting of deformable body is vital for surgical training/planning systems with resection operations. Unfortunately, it is challenging…”
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12
Mixed reality based respiratory liver tumor puncture navigation
Published in Computational visual media (Beijing) (01-12-2019)“…This paper presents a novel mixed reality based navigation system for accurate respiratory liver tumor punctures in radiofrequency ablation (RFA). Our system…”
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13
Automatic Localization of Seizure Onset Zone From High-Frequency SEEG Signals: A Preliminary Study
Published in IEEE journal of translational engineering in health and medicine (2021)“…Objective: Stereoelectroencephalogram (SEEG) has been widely adapted to detect the electrical activity of patients with epilepsy. Due to the low-quality,…”
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14
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
Published in NPJ digital medicine (24-04-2022)Get full text
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15
Modeling and predicting tissue movement and deformation for high intensity focused ultrasound therapy
Published in PloS one (20-05-2015)“…In ultrasound-guided High Intensity Focused Ultrasound (HIFU) therapy, the target tissue (such as a tumor) often moves and/or deforms in response to an…”
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16
The Metaverse in Minimally Invasive Partial Nephrectomy: Are We There Yet?
Published in European urology (01-04-2024)Get full text
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Versatile latent distribution-preserving tabular data synthesis-based endovascular treatment selection for intracranial aneurysm
Published in Expert systems with applications (01-12-2024)“…Proper decision-making for endovascular treatment (EVT) is crucial in reducing complications of intracranial aneurysms (IAs) and improving the quality of…”
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Synergistic Digital Twin and Holographic Augmented-Reality-Guided Percutaneous Puncture of Respiratory Liver Tumor
Published in IEEE transactions on human-machine systems (01-12-2022)“…Thermal ablation is an exciting new minimally invasive treatment that destroys liver tumors without removing them. It uses image guidance to place a needle…”
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Synthesizing Feature-Aligned and Category-aware Electronic Medical Records for Intracranial Aneurysm Rupture Prediction
Published in IEEE journal of biomedical and health informatics (23-08-2024)“…Rupture prediction is crucial for precise treatment and follow-up management of patients with intracranial aneurysms (IAs). Considerable machine learning (ML)…”
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A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging
Published in Medical image analysis (01-01-2021)“…•A benchmark study of a global segmentation challenge conducted on the largest atrial LGE-MRI dataset.•Performed rigorous subgroup analysis and hyper-parameter…”
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