Quantitative evaluation of the influence of multiple MRI sequences and of pathological tissues on the registration of longitudinal data acquired during brain tumor treatment [0.03%]
基于多MRI序列和病理组织的脑肿瘤治疗纵向数据配准定量评估研究
Luca Canalini,Jan Klein,Diana Waldmannstetter et al.
Luca Canalini et al.
Registration methods facilitate the comparison of multiparametric magnetic resonance images acquired at different stages of brain tumor treatments. Image-based registration solutions are influenced by the sequences chosen to compute the dis...
Weakly Supervised Skull Stripping of Magnetic Resonance Imaging of Brain Tumor Patients [0.03%]
弱监督脑肿瘤磁共振图像颅骨剥离技术
Sara Ranjbar,Kyle W Singleton,Lee Curtin et al.
Sara Ranjbar et al.
Automatic brain tumor segmentation is particularly challenging on magnetic resonance imaging (MRI) with marked pathologies, such as brain tumors, which usually cause large displacement, abnormal appearance, and deformation of brain tissue. ...
Automatic measurements of fetal intracranial volume from 3D ultrasound scans [0.03%]
基于三维超声的胎儿脑内体积自动测量方法研究
Yaron Caspi,Sonja M C de Zwarte,Iris J Iemenschot et al.
Yaron Caspi et al.
Three-dimensional fetal ultrasound is commonly used to study the volumetric development of brain structures. To date, only a limited number of automatic procedures for delineating the intracranial volume exist. Hence, intracranial volume me...
Extracting default mode network based on graph neural network for resting state fMRI study [0.03%]
基于图神经网络的静息态功能磁共振成像默认模式网路提取研究
Donglin Wang,Qiang Wu,Don Hong
Donglin Wang
Functional magnetic resonance imaging (fMRI)-based study of functional connections in the brain has been highlighted by numerous human and animal studies recently, which have provided significant information to explain a wide range of patho...
Abnormal Functional Hierarchies of EEG Networks in Familial and Sporadic Prodromal Alzheimer's Disease During Visual Short-Term Memory Binding [0.03%]
家族性和散发性阿尔茨海默病前驱期视觉短期记忆整合过程中脑电网络的功能层次异常
Keith M Smith,John M Starr,Javier Escudero et al.
Keith M Smith et al.
Alzheimer's Disease (AD) shows both complex alterations of functional dependencies between brain regions and a decreased ability to perform Visual Short-Term Memory Binding (VSTMB) tasks. Recent advances in network neuroscience toward under...
A standardized protocol for manually segmenting stroke lesions on high-resolution T1-weighted MR images [0.03%]
基于高分辨率T1加权MRI手动分割卒中病灶的标准协议
Bethany P Lo,Miranda R Donnelly,Giuseppe Barisano et al.
Bethany P Lo et al.
Although automated methods for stroke lesion segmentation exist, many researchers still rely on manual segmentation as the gold standard. Our detailed, standardized protocol for stroke lesion tracing on high-resolution 3D T1-weighted (T1w) ...
Characterization of Early Stage Parkinson's Disease From Resting-State fMRI Data Using a Long Short-Term Memory Network [0.03%]
基于静息态功能磁共振成像数据的帕金森病早期诊断研究
Xueqi Guo,Sule Tinaz,Nicha C Dvornek
Xueqi Guo
Parkinson's disease (PD) is a common and complex neurodegenerative disorder with five stages on the Hoehn and Yahr scaling. Characterizing brain function alterations with progression of early stage disease would support accurate disease sta...
A functional MRI pre-processing and quality control protocol based on statistical parametric mapping (SPM) and MATLAB [0.03%]
基于统计参数映射(SPM)和MATLAB的功能性磁共振图像预处理与质量控制方案
Xin Di,Bharat B Biswal
Xin Di
Functional MRI (fMRI) has become a popular technique to study brain functions and their alterations in psychiatric and neurological conditions. The sample sizes for fMRI studies have been increasing steadily, and growing studies are sourced...
Influence of contrast and texture based image modifications on the performance and attention shift of U-Net models for brain tissue segmentation [0.03%]
基于对比度和纹理的图像修改对U-Net模型脑组织分割性能和注意力转移的影响
Suhang You,Mauricio Reyes
Suhang You
Contrast and texture modifications applied during training or test-time have recently shown promising results to enhance the generalization performance of deep learning segmentation methods in medical image analysis. However, a deeper under...
Inconsistencies in mapping current distribution in transcranial direct current stimulation [0.03%]
经颅直流电刺激中电流分布映射的不一致之处
Anita S Jwa,Jonathan S Goodman,Gary H Glover
Anita S Jwa
Introduction: tDCS is a non-invasive neuromodulation technique that has been widely studied both as a therapy for neuropsychiatric diseases and for cognitive enhancement. However, recent meta-analyses have reported signif...