Carmen Bisogni,Lucia Cascone,Fabio Narducci
Carmen Bisogni
In recent years, the study of soft biometrics has gained increasing interest in the security and business sectors. These characteristics provide limited biometric information about the individual; hence, it is possible to increase performan...
Analysis of Thermal Imaging Performance under Extreme Foggy Conditions: Applications to Autonomous Driving [0.03%]
极端雾天条件下红外成像性能分析：在自动驾驶中的应用
Josué Manuel Rivera Velázquez,Louahdi Khoudour,Guillaume Saint Pierre et al.
Josué Manuel Rivera Velázquez et al.
Object detection is recognized as one of the most critical research areas for the perception of self-driving cars. Current vision systems combine visible imaging, LIDAR, and/or RADAR technology, allowing perception of the vehicle's surround...
Towards a Low-Cost Monitor-Based Augmented Reality Training Platform for At-Home Ultrasound Skill Development [0.03%]
面向低成本监视器增强现实训练平台的居家超声技能发展
Marine Y Shao,Tamara Vagg,Matthias Seibold et al.
Marine Y Shao et al.
Ultrasound education traditionally involves theoretical and practical training on patients or on simulators; however, difficulty accessing training equipment during the COVID-19 pandemic has highlighted the need for home-based training syst...
Evaluation of a Linear Measurement Tool in Virtual Reality for Assessment of Multimodality Imaging Data-A Phantom Study [0.03%]
虚拟现实线性测量工具在多模式影像数据评估中的评价-一个模型研究
Natasha Stephenson,Kuberan Pushparajah,Gavin Wheeler et al.
Natasha Stephenson et al.
This study aimed to evaluate the accuracy and reliability of a virtual reality (VR) system line measurement tool using phantom data across three cardiac imaging modalities: three-dimensional echocardiography (3DE), computed tomography (CT) ...
Elisavet Stamoulou,Constantinos Spanakis,Georgios C Manikis et al.
Elisavet Stamoulou et al.
Radiomics analysis is a powerful tool aiming to provide diagnostic and prognostic patient information directly from images that are decoded into handcrafted features, comprising descriptors of shape, size and textural patterns. Although rad...
Tianyu Song,Michael Sommersperger,The Anh Baran et al.
Tianyu Song et al.
Correct positioning of the endoscope is crucial for successful hip arthroscopy. Only with adequate alignment can the anatomical target area be visualized and the procedure be successfully performed. Conventionally, surgeons rely on anatomic...
Z2- γ: An Application of Zienkiewicz-Zhu Error Estimator to Brain Tumor Detection in MR Images [0.03%]
Z2-γ：将Zienkiewicz - Zhu误差估计器应用于磁共振图像脑肿瘤检测中的应用
Antonella Falini
Antonella Falini
Brain tumors are abnormal cell growth in the brain tissues that can be cancerous or not. In any case, they could be a very aggressive disease that should be detected as early as possible. Usually, magnetic resonance imaging (MRI) is the mai...
Role of Cardiovascular Magnetic Resonance in the Management of Atrial Fibrillation: A Review [0.03%]
心脏磁共振成像在房颤管理中的作用：回顾
Davide Tore,Riccardo Faletti,Andrea Biondo et al.
Davide Tore et al.
Atrial fibrillation (AF) is the most common arrhythmia, and its prevalence is growing with time. Since the introduction of catheter ablation procedures for the treatment of AF, cardiovascular magnetic resonance (CMR) has had an increasingly...
Putamen Atrophy Is a Possible Clinical Evaluation Index for Parkinson's Disease Using Human Brain Magnetic Resonance Imaging [0.03%]
人脑磁共振成像中壳核萎缩可能是帕金森病的一个临床评估指标
Keisuke Kinoshita,Takehito Kuge,Yoshie Hara et al.
Keisuke Kinoshita et al.
Parkinson's disease is characterized by motor dysfunction caused by functional deterioration of the substantia nigra. Lower putamen volume (i.e., putamen atrophy) may be an important clinical indicator of motor dysfunction and neurological ...
A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer [0.03%]
多目标优化驱动的多模态集成在非小细胞肺癌中预测总生存期的方法
Camillo Maria Caruso,Valerio Guarrasi,Ermanno Cordelli et al.
Camillo Maria Caruso et al.
Lung cancer accounts for more deaths worldwide than any other cancer disease. In order to provide patients with the most effective treatment for these aggressive tumours, multimodal learning is emerging as a new and promising field of resea...