Size-based optimization of pediatric CT protocols: balancing radiation dose and image quality [0.03%]
基于尺寸的儿科CT协议优化：辐射剂量和图像质量的权衡
Qingting Sun,Yihan Fan,Pengfei Zhu et al.
Qingting Sun et al.
This study investigated a water equivalent diameter (WED)-based tube voltage selection protocol for optimizing radiation dose and image quality in pediatric chest CT. A total of 100 pediatric patients were enrolled and retrospectively analy...
Quantifying daily residual motion of bilateral diaphragmatic domes using an iterative detection algorithm for breath-hold radiation therapy [0.03%]
利用迭代检测算法量化呼吸屏气放射治疗的日残留膈肌运动量
Jie Wei,Ming Chao,Amol Narang et al.
Jie Wei et al.
Breath-hold techniques reduce respiratory motion and planning margins in thoracic and abdominal radiotherapy, but residual motion during breath-hold can still compromise targeting accuracy. Direct tumor tracking remains technically challeng...
Computational evaluation of an adaptive ferroelectric-based impedance matching network for microwave ablation in heterogeneous tissue environments [0.03%]
自适应铁电匹配网络在异构组织环境中微波消融的计算评估
Nikolaos Karkanis,Theodoros N F Kaifas,Theodoros Samaras et al.
Nikolaos Karkanis et al.
Microwave ablation (MWA) efficiency is strongly influenced by impedance mismatch caused by inter-organ dielectric variability, tumor heterogeneity, and temperature-dependent tissue evolution during treatment. This work presents a computatio...
Bias-invariant, detectability-aware dual-distance optical reflectance sensing for layered biological media [0.03%]
一种无偏、可检测性感知的双距离光学反射率感应方法用于层状生物介质
Huda Zain,Khurram Karim Karim Qureshi
Huda Zain
Optical reflectance sensors are widely used for non-invasive tissue assessment but are intrinsically biased by superficial absorbers, limiting reliability in layered media with variable surface composition. In skin-interfaced sensing, epide...
Unmasking data leakage in EEG-ADHD literature: a rigorous, interpretable SOTA framework (DSAEN) [0.03%]
揭开EEG-ADHD文献中的数据泄露：一种严格且可解释的SOTA框架(DSAEN)
Tushar Das,Himanshu Kumar Pathak,Koushlendra Kumar Singh
Tushar Das
The field of translational Electroencephalogram-Artificial Intelligence (EEG-AI) faces a significant methodological challenge regarding epoch-wise data leakage. This study aims to quantify the implications of this leakage through a comprehe...
CORRIGENDUM: Impact of metal nanoparticles on cell survival predicted by the local effect model for cells in suspension and tissue: I. Theoretical framework (2025 Biomed. Phys. Eng. Express 11 065002) [0.03%]
更正：悬浮和组织中细胞局部效应模型预测金属纳米粒子对细胞存活的影响(I):理论框架(2025生物医学物理与工程表达11 065002)
Hans Rabus,Leo Thomas
Hans Rabus
Published Erratum
Biomedical physics & engineering express. 2026 Jul 22;12(4). DOI:10.1088/2057-1976/ae7f28 2026
LHR-Net:A lightweight high-resolution network for retinal vessel segmentation [0.03%]
一种轻量级的视网膜血管高分辨率分割网络:LHR-net
Jun Feng,Haibin He,Jinmei Guo et al.
Jun Feng et al.
Retinal vessel segmentation plays a critical role in the diagnosis of ophthalmic diseases. However, challenges arise due to low image contrast and the complex morphology of blood vessels, hindering automatic segmentation. To overcome these ...
Modeling and detection of acoustic waves induced by ultra-high-dose-rate electron beams from a radiotherapy linear accelerator [0.03%]
超高剂量率放射治疗直线加速器电子束诱导声波的模拟与检测
Xulin Hu,Qin Yang,Liuyuan Zhou et al.
Xulin Hu et al.
FLASH Radiotherapy (FLASH-RT), as an emerging and promising radiation therapy technique, delivers ultra-high radiation doses to the target area within an extremely short time frame, significantly reducing damage to normal tissues while main...
EM-AWFNet: dual-branch adaptive weight fusion for lung cancer PET/CT classification [0.03%]
基于双分支自适应权重融合的肺癌PET/CT分类方法
Angchao Duan,Zhenwei Li,Kai Sun et al.
Angchao Duan et al.
Lung cancer (LC) is a malignant tumor that poses a serious threat to human health. Positron emission tomography/computed tomography (PET/CT) imaging, which integrates both anatomical structure and metabolic activity, plays a crucial role in...
HPA-Net: a lightweight hierarchical progressive fusion network for cardiac disease detection based on ECG-PCG signals [0.03%]
基于ECG-PCG信号的心脏病检测的轻量级层次式渐进融合网络（HPA-Net）
Tong Xiao,Lufeng Che
Tong Xiao
Cardiovascular disease (CVD) remains a leading global health threat, creating a strong clinical need for convenient and rapid diagnostic methods. However, current single-modality and conventional fusion methods often fail to adequately util...