SeRL: Style-embedding representation learning for unsupervised CT images synthesis from unpaired MR images [0.03%]
基于不成对的MR图像的无监督CT图像合成的风格嵌入表示学习-SeRL
Lei You,Hongyu Wang,Eduardo J Matta et al.
Lei You et al.
Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide, and the fastest-growing cause of cancer deaths in the United States. Computed tomography (CT) and magnetic resonance (MR) imaging are the key imag...
CNN-Autoformer: Automated EEG-Based Seizure Detection and Localization Using Hybrid Deep Learning [0.03%]
基于EEG的自动癫痫检测和定位的混合深度学习方法(CNN-Autoformer)
Shuhao Ren,Haotian Li,Weisen Lu et al.
Shuhao Ren et al.
Epilepsy is a neurological disorder characterized by transient and recurrent abnormal brain activity, often diagnosed through manual inspection extensive analysis of electroencephalogram (EEG) recordings. However, existing deep-learning sei...
Generalizable Multimodal Retinal Image Registration via Label-free Vessel Segmentation [0.03%]
无标签血管分割的可推广多模态视网膜图像配准方法
Utkarsh Doshi,Elli Davis,Mayss Al-Sheikh et al.
Utkarsh Doshi et al.
Multimodal retinal imaging plays a crucial role in diagnosing and managing various retinal diseases such as diabetic retinopathy and age-related macular degeneration (AMD). The majority of retinal imaging modalities including Color Fundus P...
Explainable Automated Seizure Detection using Attentive Deep Multi-View Networks [0.03%]
基于多视角注意深度网络的可解释性癫痫自动检测方法
Aref Einizade,Samaneh Nasiri,Mohsen Mozafari et al.
Aref Einizade et al.
Manual inspection of Electroencephalography (EEG) signals to detect epileptic seizures is time-consuming and prone to inter-rater variability. Moreover, EEG signals are contaminated with different noise sources, e.g., patient movement durin...
Subject-Specific Modeling by Domain Adaptation for the Estimation of Subglottal Pressure from Neck-Surface Acceleration Signals [0.03%]
基于领域适应的声门下压力估计的发音人相关建模
Emiro J Ibarra,Julián D Arias-Londoño,Juan I Godino-Llorente et al.
Emiro J Ibarra et al.
Subglottal air pressure is a critical physiologically-based parameter that reveals fundamental pathophysiological processes in patients with voice disorders. However, its assessment in both laboratory and ambulatory settings presents signif...
Yanyan Zheng,Bihan Tian,Shuchen Yu et al.
Yanyan Zheng et al.
Deep learning is widely utilized for medical image segmentation, and its effectiveness is significantly influenced by the choice of specialized loss functions. In this study, we introduce an adaptive boundary-enhanced Dice (ABeDice) loss fu...
A generalized coherence framework for quantifying input contributions in multi-input systems with correlated or uncorrelated inputs [0.03%]
广义相干框架：用于量化多输入系统中输入贡献，输入间相关或不相关的通用方法
Nolan H Howes,Matthew S Allen,Dario Farina et al.
Nolan H Howes et al.
In multi-input systems, it is often necessary to quantify the contribution of each input to an output. Such contribution analysis is frequently performed using coherence. However, when correlation is present between inputs, existing coheren...
Assessing time series correlation significance: A parametric approach with application to physiological signals [0.03%]
基于生理信号的应用时间序列相关显著性评测的参数方法
Johan Medrano,Abderrahmane Kheddar,Sofiane Ramdani
Johan Medrano
Correlation coefficients play a pivotal role in quantifying linear relationships between random variables. Yet, their application to time series data is very challenging due to temporal dependencies. This paper introduces a novel approach t...
Automated Image Clarity Detection for the Improvement of Colposcopy Imaging with Multiple Devices [0.03%]
用于改进多设备阴道镜成像的自动图像清晰度检测
Lillian Ekem,Erica Skerrett,Megan J Huchko et al.
Lillian Ekem et al.
The proportion of women dying from cervical cancer in middle- and low-income countries is over 60%, twice that of their high-income counterparts. A primary screening strategy to eliminate this burden is cervix visualization and application ...
Nishaal Parmar,Parikshat Sirpal,William A Sikora et al.
Nishaal Parmar et al.
Following a stroke, compensation for the loss of ipsilesional corticospinal and corticobulbar projections, results in increased reliance on contralesional motor pathways during paretic arm movement. Better understanding outcomes of post-str...