Javier Bisbal,Julio Sotelo,Maria I Valdes et al.
Javier Bisbal et al.
Background and objective: Plane reformatting for Four-dimensional Phase Contrast Magnetic Resonance Imaging (4D flow MRI) is time-consuming and prone to inter-observer variability, which limits fast cardiovascular flow as...
Understanding palliative care trajectories through clustering, calibrated prediction models, and explainable AI [0.03%]
通过聚类、校准预测模型和解释型人工智能来理解姑息治疗的转归路径
Battushig Migiddorj,Marijka Batterham,David Currow et al.
Battushig Migiddorj et al.
Background: Despite growing demand for palliative care, access remains limited and often occurs late in life. Existing machine learning approaches rarely integrate clinically validated measures of symptom burden and funct...
Can we really trust generative models in healthcare? A systematic review of uncertainty quantification in generative AI for medical imaging [0.03%]
我们能真正信任医疗保健中的生成模型吗？医学影像中生成AI不确定性量化系统回顾
Alen Shahini,Silvia Seoni,Alessandra Manzin et al.
Alen Shahini et al.
Background and objective: Generative AI is transforming medical imaging research through synthesis, enhancement, and reconstruction of clinical images. While these advances show promise in addressing data scarcity and sup...
AGSI: Adaptive group-enhanced strategy for iterative integration of single-cell multi-omics [0.03%]
自适应组增强策略迭代集成单细胞多组学数据（AGSI）
Fanyu Zhang,Junliang Shang,Shoujia Jiang et al.
Fanyu Zhang et al.
Background and objective: Single-cell multi-omics data integration is critical for understanding cellular heterogeneity and disease mechanisms. However, current methods face two key limitations: (1) uniform evaluation of ...
Network dynamics under neuronal degradation: A comparison between modular and small-world topologies [0.03%]
模块化和小世界拓扑神经退行性疾病的网络动力学比较研究
G T P Agostini,L H A Monteiro
G T P Agostini
Background and objective: The human brain exhibits a complex organization that combines local segregation with global integration, typically characterized by modular structure and small-world topology. Structural alterati...
Machine learning-based extraction of microstructural parameters from diffusion-weighted imaging starting from realistic in silico cellular substrates: Application in breast and prostate cancer [0.03%]
基于机器学习的从体内细胞基质中提取扩散加权成像微观结构参数：在乳腺癌和前列腺癌中的应用
Chiara Tinelli,Chiara Scotti,Fabio Casaccio et al.
Chiara Tinelli et al.
Background and objective: Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI) is a key tool for probing tissue microstructure by measuring water motion. Given the invasiveness and limited sampling of biopsies, Apparent...
IEU-Net: Sequence learning of internal texture and external morphology for sonographic kidney segmentation [0.03%]
IEU-Net：基于内部纹理和外部形态序列学习的超声肾脏分割模型
Chung-Ming Lo,Yu-Chi Chang,Yi-Kong Chen et al.
Chung-Ming Lo et al.
Background and objective: The global prevalence rate of chronic kidney disease (CKD) is on the rise, posing a significant public health concern. Renal ultrasound is an important assessment tool for clinicians. Using autom...
Natural sit-to-stand control for biomimetic musculoskeletal robots with synergy-based deep reinforcement learning and bio-inspired reward shaping [0.03%]
基于协同的深度强化学习和生物启发式奖励塑形的类骨骼机器人的自然坐立控制
Yaru Chen,Liangchi Zhan,Yongxuan Wang et al.
Yaru Chen et al.
Background and objectives: Bio-inspired musculoskeletal humanoids offer inherent compliance and robustness, yet their control remains challenging due to nonlinear dynamics, redundant muscle-tendon actuation, and strong in...
Forecasting and real-time detection of neonatal seizures: A machine learning perspective [0.03%]
从机器学习角度预测和实时检测新生儿癫痫发作
Tamara Skoric,Marija Djermanovic,John M O&#x;Toole et al.
Tamara Skoric et al.
Background and objectives: Recognition and treatment of neonatal seizures, primarily diagnosed using EEG, are essential to protect the developing brain, yet only 11% of seizures are treated within 1 hour of onset. Develop...
Metabolic splicing subtypes elucidate metastatic trajectories and clinical biomarkers in adrenocortical carcinoma [0.03%]
代谢拼接亚型阐明了肾上腺皮质癌的转移轨迹和临床生物标志物
Min Zou,Rifang Lan,Zhengchun Huo et al.
Min Zou et al.
Background and objective: Adrenocortical carcinoma (ACC) is a rare but highly aggressive malignancy, and alternative splicing (AS) serves as a key post-transcriptional regulatory mechanism involved in its malignant progre...