NeuroOmics-Net: An interpretable multimodal deep learning framework for Alzheimer's disease diagnosis and progression prediction using neuroimaging, EEG, and genomic data [0.03%]
R Kavitha,K Premalatha
R Kavitha
Accurate diagnosis and progression prediction of Alzheimer's disease (AD) remain challenging due to the heterogeneous nature of the disease, which involves structural brain degeneration, electrophysiological dysfunction, and molecular dysre...
Corrigendum to "Dual-Channel in Spatial-Frequency Domain CycleGAN for perceptual enhancement of transcranial cortical vascular structure and function" [Comput. Biol. Med. 173 (2024) 108377] [0.03%]
Yuwei Du,Dongyu Li,Zhengwu Hu et al.
Yuwei Du et al.
Published Erratum
Computers in biology and medicine. 2026 Jul 25:111863. DOI:10.1016/j.compbiomed.2026.111863 2026
Staggered arrangement of high-density multielectrodes for improved omnipolar sensing in cardiac electrophysiology: an in silico study [0.03%]
高密度多电极心房电解剖模型的错位布局对全极化信号的影响：仿真研究
Raúl Alós,Elisa Ramírez,Alfred Peris et al.
Raúl Alós et al.
Background and objective: Accurate characterization of the cardiac substrate through multi-electrode catheters allows for the reconstruction of electroanatomical maps, guiding and optimizing ablation procedures. Omnipolar...
Epileptic seizure detection from EEG signals using ensemble of type-2 neuro-fuzzy inference systems with GWO-optimized fuzzy rules [0.03%]
基于GWO优化模糊规则的二型神经模糊推理系统集成在EEG信号中检测癫痫发作
Amirhossein Sadr,Sara Rouhani,Dara Rahmati et al.
Amirhossein Sadr et al.
Epileptic seizure detection from electroencephalography (EEG) signals is a challenging task due to the nonlinear, nonstationary, and uncertain nature of neural activity. This paper proposes a novel tri-domain epileptic seizure classificatio...
Corrigendum to "NAG-Net: Nested attention-guided learning for segmentation of carotid lumen-intima interface and media-adventitia interface" [Comput. Biol. Med. 156 (2023) 106718] [0.03%]
“NAG-Net：用于颈动脉内膜-中膜界面分割的嵌套注意力引导学习”一文的勘误表 [ Comput. Biol. Med. 156 (2023) 106718 ]
Qinghua Huang,Liangrun Zhao,Guanqing Ren et al.
Qinghua Huang et al.
Published Erratum
Computers in biology and medicine. 2026 Jul 22:111864. DOI:10.1016/j.compbiomed.2026.111864 2026
Morphology-preserving transfer-guided GAN with adaptive discriminative loss for robust and imbalanced ECG arrhythmia detection [0.03%]
自适应判别损失的形态保持转移引导GAN在鲁棒和不平衡心律失常检测中的应用
Majid Sepahvand,Beneen Dourgham Karim Al-Harizi,Maytham N Meqdad
Majid Sepahvand
Electrocardiogram (ECG) based arrhythmia detection remains challenging due to severe class imbalance, morphological variability, and noise commonly present in wearable monitoring environments. Traditional augmentation techniques often disto...
UMCA-Net: Uncertainty-aware multi-stage cross-attention for cost-aware multi-omics data classification [0.03%]
基于不确定性感知的多阶段交叉注意的成本意识型多组学数据分类算法UMCA-Net
Yehong Huang,Huan Huang,Selena He et al.
Yehong Huang et al.
Multi-omics data integration holds great promise for precision medicine, yet its clinical adoption is hindered by high acquisition costs and the complexity of heterogeneous data representations. To address these challenges, we propose an un...
MAGMED: A clinically grounded LLM-guided synthetic augmentation framework for admission-time ICU mortality prediction [0.03%]
MAGMED：一个基于临床的LLM引导合成增强框架，用于入院时ICU死亡率预测
Wenxiong Chen,Chao Yu,Zhihong Zuo et al.
Wenxiong Chen et al.
Background: Mortality risk prediction for elderly intensive care unit (ICU) patients with severe infections remains challenging due to limited sample sizes and poor generalization across institutions. Existing models ofte...
Machine-learning-guided control of a pulsed cold atmospheric plasma jet reveals a voltage-dependent discharge transition relevant to diabetic wound healing [0.03%]
基于机器学习的脉冲冷等离子体射流控制揭示了与糖尿病伤口愈合相关的电压依赖性放电转换
Aliakbar Ansari,Milad Rasouli,Jamshid Sabbaghzadeh et al.
Aliakbar Ansari et al.
Cold atmospheric plasma (CAP) technology is promising for biomedical treatment, but its translation is limited by the difficulty of identifying operating conditions that simultaneously preserve non-thermal discharge stability, enhance react...
Automated early preterm detection using hybrid multimodal attention network with gated fusion [0.03%]
基于混合多模态注意网络与门控融合的自动早期早产检测
Deepshikha Bhattacharya,Pratibha Singh,Anil Kumar Tiwari
Deepshikha Bhattacharya
Preterm birth is a major pregnancy complication associated with increased maternal and neonatal risks, making early detection of labor essential. Electrohysterography (EHG), provides a non-invasive approach for monitoring uterine dynamics. ...