Results 41 to 50 of about 33,441 (257)

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Dual-Task Semantic Change Detection for Remote Sensing Images Using the Generative Change Field Module

Remote Sensing, 2021
With the advent of very-high-resolution remote sensing images, semantic change detection (SCD) based on deep learning has become a research hotspot in recent years.
Shao Xiang, Mi Wang, Xiaofan Jiang, Guangqi Xie, Zhiqi Zhang, Peng Tang   +5 more
doaj   +1 more source

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher, Charles B. Malpas, Stuart J. McDonald, William T. O’Brien, Craig Despott, Kelly L. Bertram, Matthew P. Pase, Lukas Frontzkowski, Meng Law, Terence J. O’Brien, Lucy Vivash   +10 more
wiley   +1 more source

SSTNet: A Network Based on Modeling of Semantic-Spatiotemporal Information for Semantic Change Detection of Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Semantic change detection (SCD) aiming to localize changes and identify their types is a complex pixel-level classification task. In SCD, detecting changes of narrow and long objects (NLOs) common in various scenarios is more challenging than detecting ...
Qingyu Xia, Yiming Yan, Wei Hou, Baoyu Ge, Nan Su, Shou Feng, Chunhui Zhao   +6 more
doaj   +1 more source

How to Reduce Change Detection to Semantic Segmentation

Pattern Recognition, 2023
Accepted by Pattern Recognition.
Wang, Guo-Hua, Gao, Bin-Bin, Wang, Chengjie   +2 more
openaire   +2 more sources

CSF Monoamine Metabolites and Cognitive Trajectory in Early Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Imaging and postmortem studies indicate that abnormalities in monoaminergic neurotransmission contribute to cognitive impairment in Parkinson's disease (PD). However, it remains uncertain if cerebrospinal fluid (CSF) monoamine metabolites can serve as biomarkers of cognitive decline in early PD.
Jing‐Yu Shao, Rong Li, Yu‐Xiang Jiao, Kai Ma, Hong‐Qi Yang, Zheng‐Yu Sun, Jie‐Wen Zhang, Shuai Chen   +7 more
wiley   +1 more source

Semantic Change Detection with Asymmetric Siamese Networks

, 2020
Given two multi-temporal aerial images, semantic change detection aims to locate the land-cover variations and identify their change types with pixel-wise boundaries. This problem is vital in many earth vision related tasks, such as precise urban planning and natural resource management.
Yang, Kunping, Xia, Gui-Song, Liu, Zicheng, Du, Bo, Yang, Wen, Pelillo, Marcello, Zhang, Liangpei   +6 more
openaire   +2 more sources

Innovating Aircraft Repair Processes: The Role of Digitalization in Sustainability

Advanced Engineering Materials, EarlyView.
This research explores how digitalization—by storing detailed non‐destructive testing data in structured DICONDE databases and creating a standard data model of the component—innovates aviation maintenance and repair processes. Coupled with a developed state‐based simulation model, it enables data‐driven, sustainable repair strategies that reduce waste,
Johanna Aigner, Geo Jacob, Florian Raddatz, Gerko Wende   +3 more
wiley   +1 more source

MFA-SCDNet: A Semantic Change Detection Network for Visible and Infrared Image Pairs

Remote Sensing
Semantic Change Detection (SCD) in remote sensing imagery is a common technique for monitoring surface dynamics. However, geospatial data acquisition increasingly involves the collection of visible and infrared images.
Xingyu Li, Jiulu Gong, Jianxiong Wen, Zepeng Wang   +3 more
doaj   +1 more source

SMBCNet: A Transformer-Based Approach for Change Detection in Remote Sensing Images through Semantic Segmentation

Remote Sensing, 2023
Remote sensing change detection (RSCD) is crucial for our understanding of the dynamic pattern of the Earth’s surface and human influence. Recently, transformer-based methodologies have advanced from their powerful global modeling capabilities in RSCD ...
Jiangfan Feng, Xinyu Yang, Zhujun Gu, Maimai Zeng, Wei Zheng   +4 more
doaj   +1 more source