Rapid, label-free cancer detection in fresh pancreatic tissue using deep learning and multispectral Mueller matrix polarimetry [0.03%]
基于深度学习和多光谱穆勒矩阵偏振法的鲜胰腺组织快速无标记癌症检测技术
Paulo Sampaio,Davide Scandella,C H Lucas Patty et al.
Paulo Sampaio et al.
Background: Frozen section (FS) tissue assessment is essential for guiding intraoperative surgical decision-making in oncology, particularly in procedures such as pancreatic ductal adenocarcinoma (PDAC) resections, where ...
Assist-as-needed Hip Exoskeleton Control for Gait Asymmetry Correction via Human-in-the-loop Optimization [0.03%]
基于人机结合优化的助行外骨骼髋关节助力穿戴式机器人控制方法研究
Yuepeng Qian,Jingfeng Xiong,Haoyong Yu et al.
Yuepeng Qian et al.
Gait asymmetry is a significant clinical characteristic of hemiplegic gait that most stroke survivors suffer, leading to limited mobility and long-term negative impacts on their quality of life. Although a variety of exoskeleton controls ha...
Disentangled Multimodal Spatiotemporal Learning for Hybrid EEG-fNIRS Brain-Computer Interface [0.03%]
用于混合EEG-fNIRS脑机接口的解缠多模态时空学习方法
Yun Xu,Chi-Man Vong,Zihao Xu et al.
Yun Xu et al.
The hybrid EEG-fNIRS Brain-computer interface (BCI) combines the high temporal resolution of electroencephalography (EEG) with the high spatial resolution of functional near-infrared spectroscopy (fNIRS) to enable comprehensive brain activi...
A two-stage algorithm to detect electrographically focal seizures using a wearable single-channel EEG sensor [0.03%]
一种基于可穿戴单通道EEG传感器检测电图源性局灶性发作的两阶段算法
Shini Renjith,Karthik Gopalakrishnan,Tobias Loddenkemper et al.
Shini Renjith et al.
Objective: This paper presents a two-stage machine learning model for electrographic seizure detection using wearable single-channel scalp electroencephalogram (EEG) sensors. ...
Patching with Sequential Updating for High-Fidelity Bayesian Spectral Estimation of Physiological Time Series [0.03%]
基于高保真贝叶斯谱估计的生理时间序列顺序更新修补方法
Zheping Wang,Chengye Lin,Kai Chen
Zheping Wang
Objective: Physiological time series reflect the underlying behavior of physiological systems. In this paper, we introduce a novel patching with sequential updating for Bayesian nonparametric spectral estimation (PBNSE) t...
Accurate Heart Sound Segmentation with Temporal Convolutional Network-Enhanced Duration Hidden Markov Model and Adaptive Calibration [0.03%]
基于时间卷积网络增强持续时长隐马尔可夫模型和自适应调校的精确心音分割方法
Kaichuan Yang,Chengyi Liu,Shuicai Wu
Kaichuan Yang
Objective: Accurate segmentation of heart sound signal stages is critical in cardiovascular disease analysis. Methods: This study propo...
Data Augmentation for Subject-Independent SSVEP-BCIs via Simultaneous Spatial-Energy Representation [0.03%]
基于时空联合表征的面向多用户的SSVEP脑机接口数据增强方法
Wenlong Ding,Aiping Liu,Le Wu et al.
Wenlong Ding et al.
Objective: Data augmentation is important for enhancing subject-independent classification in deep learning (DL) approaches for steady-state visual evoked potential (SSVEP) brain-computer interfaces (BCIs) using electroen...
Variational Instance-Adaptive Personalized Stress Recognition Based on Wearable Sensor Signals [0.03%]
基于可穿戴传感器信号的变分实例自适应个性化压力识别
Juncong Xu,Cheng Song,Zijie Yue et al.
Juncong Xu et al.
Objective: Stress has emerged as a major adverse factor affecting both physical and mental health. Timely recognition of stress is essential for effective stress management. However, substantial inter-individual variabili...
Prototypical Representation Learning for Multi-Site Domain Generalization in Schizophrenia Diagnosis [0.03%]
精神分裂症诊断中多来源域通用化的原型表示学习
Yixin Ji,Vince D Calhoun,Jin Zhang et al.
Yixin Ji et al.
Brain functional networks (BFNs) derived from multi-site fMRI data have been widely used in the diagnosis of psychiatric disorders such as schizophrenia (SZ). However, site-induced distribution shifts pose a major challenge to the generaliz...
Virtual Imaging-Guided Harmonization of Chest X-rays Using a Generative Adversarial Neural Network [0.03%]
基于生成对抗神经网络的虚拟影像引导的胸部X光图像融合技术
Mojtaba Zarei,Ehsan Abadi,Liesbeth Vancoillie et al.
Mojtaba Zarei et al.
Objective: To reduce variability in chest radiography (CXR) from acquisition and post-processing, and assess whether harmonization improves image quality and down-stream diagnostic performance. ...