Results 81 to 90 of about 357,344 (305)

Accelerated Progression of Gait Impairment in Parkinson's Disease and REM Sleep Without Atonia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective People with Parkinson's disease (PD) and rapid eye movement (REM) sleep without atonia (RSWA) often have more severe gait disturbances compared to PD without RSWA. The association between the presence and expression of RSWA and the rate of progression of gait impairment in PD is unknown.
Sommer L. Amundsen‐Huffmaster, Jae Woo Chung, Maria E. Linn‐Evans, Matthew N. Petrucci, Chiahao Lu, Destiny J. Weaver, Joshua De Kam, Scott E. Cooper, Paul J. Tuite, Aleksandar Videnovic, Michael J. Howell, Colum D. MacKinnon   +11 more
wiley   +1 more source

Deep Projective 3D Semantic Segmentation

, 2017
Semantic segmentation of 3D point clouds is a challenging problem with numerous real-world applications. While deep learning has revolutionized the field of image semantic segmentation, its impact on point cloud data has been limited so far.
AE Johnson, JA Montoya-Zegarra, M Kazhdan, R Szeliski, S Gupta, S Salti, T Hackel   +6 more
core   +1 more source

Higher Amyloid and Tau Burden Is Associated With Faster Decline on a Digital Cognitive Test

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective A 2‐min digital clock‐drawing test (DCTclock) captures more granular features of the clock‐drawing process than the pencil‐and‐paper clock‐drawing test, revealing more subtle deficits at the preclinical stage of Alzheimer's disease (AD). A previous cross‐sectional study demonstrated that worse DCTclock performance was associated with
Jessie Fanglu Fu, Talia Robinson, Marina Rodriguez Alonso, Adela Francis Malave, Roos J. Jutten, Michael J. Properzi, Brian C. Healy, Jackson C. Thompson, Grace Del Carmen Montenegro, Emma Thibault, Dana Penney, Randall Davis, Reisa A. Sperling, Kathryn V. Papp, Keith A. Johnson, Julie C. Price, Dorene M. Rentz   +16 more
wiley   +1 more source

Portable Low‐Field Magnetic Resonance Imaging in People With Human Immunodeficiency Virus

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The aging population of people with HIV (PWH) raises heightened concerns regarding accelerated aging and dementia. Portable, low‐field MRI (LF‐MRI) is an innovative technology that could enhance access and facilitate routine monitoring of PWH.
Annabel Sorby‐Adams, Malachi Keo, Jennifer Guo, Daire Daly, Richard Ahern, Kimon Zachary, Gregory Robbins, Rajesh T. Gandhi, Bragi Sveinsson, Adam de Havenon, Kevin N. Sheth, Otto Rapalino, Juan Eugenio Iglesias Gonzales, W. Taylor Kimberly, Shibani S. Mukerji   +14 more
wiley   +1 more source

RSM-YOLOv11: Lightweight Steel Surface Defect Segmentation Algorithm Research Based on YOLOv11 Improvement

IEEE Access
Traditional segmentation algorithms fail to effectively handle complex texture backgrounds and diverse defect shapes in steel surface defect segmentation, resulting in insufficient segmentation accuracy (SA), slow speed, and false negatives.
Zenghai Shan, Hu Haoyan, Changjian Zhu, Shaowen Du, Hongtao Jing, Wang Haibin   +5 more
doaj   +1 more source

SLIC segmentation method for full-polarised remote-sensing image

The Journal of Engineering, 2019
The rapid development of remote-sensing data acquisition technology means that the resolution of remote-sensing image has been continuously improved, resulting in the large scale of remote-sensing image data and the increase of redundant information ...
Zhanyang Zhang, Jiaqi Chen, Zhiwei Liu
doaj   +1 more source

Network Localization of Fatigue in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +1 more source

MSGM-Net: multi-scale general-modal network for disease and organ segmentation

Complex & Intelligent Systems
General and effective medical image segmentation methods achieve pixel-level accurate segmentation of lesions or organs. Existing 2-D networks have demonstrated their effectiveness on single-modal segmentation tasks, but difficult to exploit ...
Dayu Tan, Xiaoping Zhou, Chao Jiang, Xin Peng, Yansen Su, Weimin Zhong   +5 more
doaj   +1 more source

A novel super-resolution urban green space segmentation network generating 0.2m resolution urban green space results using low-resolution imagery

Geocarto International
Accurate mapping of urban green space (UGS) is crucial for urban planning and ecology. High-resolution drone images are often used for UGS identification, but their high cost limits large-scale mapping.
Chunyang Chen, Guangbin Yang, Panfang Chen, Lei Zhan, Man Li, Juan Li   +5 more
doaj   +1 more source

Unsupervised Morphological Multiscale Segmentation of Scanning Electron Microscopy Images

, 2014
This paper deals with a problem of unsupervised multiscale segmentation in the domain of scanning electron microscopy, which is tackled by mathematical morphology techniques. The proposed approach includes various steps.
Angulo, Jesus, Franchi, Gianni, Moreaud, Maxime   +2 more
core   +1 more source