Pepe Eulzer,Henrik Voigt,Monique Meuschke et al.
Pepe Eulzer et al.
Background and objective: Underlying biomechanical instability of the vessel wall is believed to drive the substantial morphological variability observed in saccular intracranial aneurysms. Existing approaches to quantify...
Predicting Avatrombopag response in children with immune thrombocytopenia: A multi-view learning framework for tabular missing data [0.03%]
预测阿伐曲波帕治疗免疫性血小板减少症儿童的疗效：一种处理表格型缺失数据的多视角学习框架
Yuntian Wang,Yongqiang Tang,Xiaoling Cheng et al.
Yuntian Wang et al.
Background and objective: Avatrombopag is a thrombopoietin receptor agonist that has demonstrated clinical efficacy in rapidly increasing platelet counts and achieving bleeding control in children with chronic immune thro...
Aortic stiffening after thoracic aortic stent grafting: A multi-patient specific computational study [0.03%]
主动脉覆膜支架植入后的主动脉硬化：一个多患者特定的计算研究
Leonardo Molinari,Hannah Cebull,Marina Piccinelli et al.
Leonardo Molinari et al.
Background and objective: Treatment of Descending Thoracic Aortic Aneurysms (DTAA) using open surgical or endovascular methods (Thoracic EndoVascular Aortic Repair) is widely accepted in medicine. However, these procedure...
Zero-shot arbitrary-scale super resolution in susceptibility-weighted imaging for cerebral microbleed analysis [0.03%]
无参考多尺度超分辨去卷积DWI序列微小病灶检测方法研究
Fengchun Liu,Rong Zhang,Zhongyue Lv et al.
Fengchun Liu et al.
Background and objective: Susceptibility Weighted Imaging (SWI) plays a pivotal role in detecting cerebral microbleeds (CMBs), key biomarkers of vascular abnormalities and neurodegenerative diseases. Clinical protocols of...
Detecting cardiovascular diseases using ECG scans and explainable artificial intelligence [0.03%]
基于ECG扫描和可解释的人工智能的心血管疾病检测方法研究
Arkadiusz Czerwinski,Damian Kucharski,Jacek Kawa et al.
Arkadiusz Czerwinski et al.
Background and objective: Cardiovascular diseases are the leading cause of mortality globally, requiring early and accurate detection through tools like electrocardiography. While artificial intelligence models have emerg...
A 3D parametric model of the endothelial monolayer to predict its barrier integrity: Influence of mechanical and geometric conditions [0.03%]
一种预测内皮单层屏障完整性的三维参数模型：力学和几何条件的影响
O Paseta,J M García-Aznar,M J Gómez-Benito
O Paseta
Background and objective: The endothelium, which consists on a monolayer of endothelial cells, lines the interior surface of blood vessels. These cells form a dynamic structure in which adhesions between them are constant...
The challenge of data scarcity and imbalanced classes in radiomics performance [0.03%]
放射组学性能的数据稀少和不平衡类别的挑战
Pablo Rodriguez-Belenguer,María Beser-Robles,Manuel Marfil-Trujillo et al.
Pablo Rodriguez-Belenguer et al.
Background and objectives: Radiomics-based machine learning models are increasingly used for clinical decision-making, yet their reliability is often constrained by limited sample sizes and class imbalance in imaging data...
Glo-MMF: A modular multi-model framework for automated morphometry of glomerular ultrastructural features [0.03%]
基于超微结构特征的肾小球形态计量学的模块化多模型框架（Glo-MMF）
Zhentai Zhang,Danyi Weng,Guibin Zhang et al.
Zhentai Zhang et al.
Background and objective: Automated morphological analysis of glomerular ultrastructures facilitates diagnosis by reducing pathologists' burden and improving efficiency and accuracy. However, the inherent heterogeneity of...
Antiangiogenic therapy enhances CAR-T cell efficacy in solid tumors: Insights from a hybrid multiscale model [0.03%]
抗血管生成疗法可增强CAR-T细胞在实体肿瘤中的疗效：来自混合多尺度模型的见解
Sayyed Mohammad Ali Mortazavi,Bahar Firoozabadi
Sayyed Mohammad Ali Mortazavi
Background and objectives: Despite the remarkable success of chimeric antigen receptor (CAR) T cells in hematological malignancies, their therapeutic efficacy in solid tumors is still limited, largely due to the insuffici...
Morphology-, noise-, and resolution-robust ultrasound elasticity imaging with Fourier neural operator [0.03%]
傅立叶神经算子的形态、噪声和分辨率不变超声弹性成像方法
Heekyu Kim,Hugon Lee,Minwoo Park et al.
Heekyu Kim et al.
Quasi-static strain elastography is a non-invasive technique for estimating tissue stiffness fields from displacement fields obtained by comparing ultrasound signals before and after compression. While recent deep learning approaches have e...