Robust multimodal mental workload classification: A cross-physiological condition machine learning approach [0.03%]
鲁棒的多模态精神工作负荷分类：一种跨生理条件的机器学习方法
Anais Pontiggia,Michael Quiquempoix,Pierre Fabries et al.
Anais Pontiggia et al.
Background and objective: Aircraft pilots can be faced with a high mental workload (MW) combined with moderate hypoxia and sleep restriction. We aimed to assess the cross-validation of a machine learning-based MW predicti...
CellViT++: Energy-efficient and adaptive cell segmentation and classification using foundation models [0.03%]
基于基础模型的节能自适应细胞分割与分类方法（CellViT++）
Fabian Hörst,Moritz Rempe,Helmut Becker et al.
Fabian Hörst et al.
Background and objective: Deep learning-based cell segmentation and classification methods in digital pathology are critical for diagnostics but are hampered by models that require extensive annotated datasets, are comput...
In silico modelling of aortic annuloplasty: hemodynamic assessment through in vitro experiments and in vivo MRI [0.03%]
主动脉环成形的在体和离体实验研究
Marta Zattoni,Luca Bontempi,Steffen Ringgaard et al.
Marta Zattoni et al.
Aortic annuloplasty (AA) is an innovative surgical technique for aortic root (AR) enlargement. It is performed by implanting sutures, bands, or rings, either externally or internally the AR, hereby reducing its diameter. This study evaluate...
A diagnosis tool for early detection and classification of heart disease in individuals using transformer mechanisms [0.03%]
一种使用变压器机制对个体进行早期检测和分类心脏疾病的诊断工具
Saba Arif,Sang Hyeok Son,Hyun Yong Kim et al.
Saba Arif et al.
Background: Heart disease remains a leading cause of mortality, making accurate and efficient prediction tools essential for the general population. In medical diagnosis, deep learning-based approaches have shown signific...
Towards open-set myoelectric gesture recognition via dual-perspective inconsistency learning [0.03%]
基于双视角不一致学习的开集肌电手势识别研究
Chen Liu,Can Han,Chengfeng Zhou et al.
Chen Liu et al.
Background and objective: Gesture recognition based on surface electromyography (sEMG) has achieved significant progress in human-machine interaction (HMI), especially in prosthetic control and movement rehabilitation. Ho...
Shape matters: Predicting Huntington's disease using progression modelling [0.03%]
形状很重要：使用进展模型预测亨廷顿病
Mohsen Ghofrani-Jahromi,Susmita Saha,Adeel Razi et al.
Mohsen Ghofrani-Jahromi et al.
Background: Despite evidence of group-level differences in striatal morphometry among persons with Huntington's Disease (PwHD), current models of HD progression used for participant selection and assessment of treatment o...
A novel multi-field interaction cutting model for ultrasonically activated surgical devices [0.03%]
一种用于超声手术设备的新型多场耦合切割模型
Shilun Du,Yingda Hu,Fan Wei et al.
Shilun Du et al.
Background and objectives: Ultrasonically activated surgical devices (UASDs) are widely used in surgery due to their cutting, hemostatic, and thermal control capabilities. Modeling the UASD cutting process enhances unders...
Prey capture enhanced Harris hawks optimizer for wrapper-based feature selection in high-dimensional medical data [0.03%]
基于捕食行为的Harris鹰优化算法在高维医疗数据特征选择中的应用研究
Mohammed Batis,Yi Chen,Lei Liu et al.
Mohammed Batis et al.
Background and objective: While the Harris Hawks Optimizer (HHO) is widely utilized for wrapper-based Feature Selection (FS) due to its efficiency and ease of implementation, existing HHO-based FS approaches encounter cha...
Impact of different blood flow modes on hemodynamic environment, thrombosis risk and oxygen transport of oxygenators: A numerical simulation study [0.03%]
不同血液流动模式对体外膜肺氧合器血流动力学环境、血栓风险及携氧能力的影响：数值模拟研究
Xingji Fu,Xiaofang Yang,Feilong Hei et al.
Xingji Fu et al.
Background and objective: Pulsatile blood flow is considered more potential for delivering hemodynamic energy and enhancing microcirculatory perfusion in patients compared to non-pulsatile flow in ECMO. This study aims to...
Automated hemodynamic modeling to explore arterial curvature effects on intracranial aneurysm initiation [0.03%]
自动化血流动力学模型探索动脉曲率对颅内动脉瘤起始的影响
Adi Konsens,Alejandro F Frangi,Gil Marom
Adi Konsens
Background and objective: Intracranial aneurysms (IA) cause hundreds of thousands of deaths annually, yet most remain undiagnosed until rupture due to their asymptomatic nature. Improved prediction of aneurysm initiation ...