The Effect of von Willebrand Disease on Platelet Adhesion Dynamics: Correlating a Multiscale Platelet Model to In Vitro Results [0.03%]
von Willebrand病对血小板黏附动力学的影响：将多尺度血小板模型与体外结果相关联
Peineng Wang,Jawaad Sheriff,Yuefan Deng et al.
Peineng Wang et al.
Objective: Von Willebrand Disease (VWD), the most common inherited bleeding disorder affecting 0.1% to 1% of the population, causes extensive mucocutaneous bleeding across various clinical contexts. Von Willebrand Factor ...
Transnasal implants in the nasal cavity and sphenoid sinus for minimally invasive deep brain stimulation: measurement of electric field in cadavers [0.03%]
鼻内窥镜经鼻入路调节卵圆孔和棘孔区植入可调式脑深部刺激电极的尸体解剖研究
Mats Forssell,Yuxin Guo,Dorian Kusyk et al.
Mats Forssell et al.
Objective: Deep brain stimulation (DBS) is increasingly used in treating motor disorders, neurodegenerative conditions, and mental health conditions. However, treatments are limited to the most severe cases due to the inv...
Early Detection of Bladder Cancer Using Advanced Feature Engineering and Swarm Intelligence Optimization on EHRs [0.03%]
基于电子健康记录的高级特征工程和群智能优化的膀胱癌早期检测方法研究
Xu Wang,Andrea Preston,Jonathan Aning et al.
Xu Wang et al.
Background: Bladder cancer (BC) symptoms often overlap with benign conditions, while no routine screening exists for general population. We aim to develop a machine learning (ML)-based screening pipeline for early BC dete...
Multi-channel Electromagnetic Interference Elimination for Shielding-free MRI Using Null Operations [0.03%]
无屏蔽自由呼吸MRI的多通道电磁干扰消除方法：零填充操作法
Jiaqi Wang,Huifang Wang,Linfang Xiao et al.
Jiaqi Wang et al.
Objective: Emerging technologies for electromagnetic interference (EMI) elimination have enabled radio frequency (RF) shielding-free magnetic resonance imaging (MRI), significantly reduced costs and increased accessibilit...
Domain Knowledge is Power: Leveraging Physiological Priors for Self-Supervised Representation Learning in Electrocardiography [0.03%]
领域知识就是力量：利用生理固有先验进行自监督表示学习在心电图中的应用
Nooshin Maghsoodi,Sarah Nassar,Paul F R Wilson et al.
Nooshin Maghsoodi et al.
Electrocardiograms (ECGs) play a crucial role in diagnosing heart conditions; however, the effectiveness of artificial intelligence (AI)-based ECG analysis is often hindered by the limited availability of labeled data. Self-supervised learn...
MVICAD2: Multi-View Independent Component Analysis With Delays and Dilations [0.03%]
具有延迟和扩展的多视图独立分量分析:MVICAD2
Ambroise Heurtebise,Omar Chehab,Pierre Ablin et al.
Ambroise Heurtebise et al.
Machine learning techniques in multi-view settings face significant challenges, particularly when integrating heterogeneous data, aligning feature spaces, and managing view-specific biases. These issues are prominent in neuroscience, where ...
Double Banking on Knowledge: A Unified All-in-One Framework for Unpaired Multi-Modality Semi-supervised Medical Image Segmentation [0.03%]
双管齐下的知识：一种统一的全合一框架用于未配对的多模态半监督医学图像分割
Yingyu Chen,Ziyuan Yang,Zhongzhou Zhang et al.
Yingyu Chen et al.
Multi-modality (MM) semi-supervised learning (SSL) based medical image segmentation has recently gained increasing attention for its ability to utilize MM data and reduce reliance on labeled images. However, current methods face several cha...
STF: A Unified Framework for Joint Pixel-Level Segmentation and Tracking of Tissues in Endoscopic Surgery [0.03%]
STF：内窥镜手术中组织像素级分割和跟踪的统一框架
Yifan Li,Laura Cruciani,Francesco Alessandro Mistretta et al.
Yifan Li et al.
Endoscopic minimally invasive surgery relies on precise tissue video segmentation to avoid complications such as vascular bleeding or nerve injury. However, existing video segmentation methods often fail to maintain long-term robustness due...
Generalised Label-Free Artefact Cleaning for Real-Time Medical Pulsatile Time Series [0.03%]
基于通用思想的医疗脉搏序列实时去噪方法研究
Xuhang Chen,Ihsane Olakorede,Stefan Yu Bogli et al.
Xuhang Chen et al.
Artefacts compromise clinical decision-making in the use of medical time series. Pulsatile waveforms offer opportunities for accurate artefact detection, yet most approaches rely on supervised manners and overlook patient-level distribution...
Rectification of Cornea Induced Distortions in Microscopic Images for Assisted Ophthalmic Surgery [0.03%]
角膜诱导畸变的校正用于辅助眼科手术的显微图像校正
Rebekka Peter,Erik Oberschulte,Atharva Vaidya et al.
Rebekka Peter et al.
Objective: Image distortions induced by the high refractive power of the eye's optical components challenge the accuracy of geometric information derived from intra-operative sensor data in ophthalmic surgery. Correcting ...