Results 81 to 90 of about 300,366 (322)

Brainstem and Cerebellar Volume Loss and Associated Clinical Features in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel, Timothy P. Siejka, Cassandra Marotta, Josh J. Y. Lee, Kelly Bertram, Terence J. O'Brien, Meng Law, Lucy Vivash, Ian H. Harding   +8 more
wiley   +1 more source

A Review of Optical and SAR Image Deep Feature Fusion in Semantic Segmentation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the advent of the era of high-resolution remote sensing, semantic segmentation methods for solving pixel-level classification have been widely studied.
Chenfang Liu, Yuli Sun, Yanjie Xu, Zhongzhen Sun, Xianghui Zhang, Lin Lei, Gangyao Kuang   +6 more
doaj   +1 more source

Change Detection in Heterogeneous Optical and SAR Remote Sensing Images Via Deep Homogeneous Feature Fusion

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Change detection in heterogeneous remote sensing images is crucial for disaster damage assessment. Recent methods use homogenous transformation, which transforms the heterogeneous optical and synthetic aperture radar (SAR) remote sensing images into the ...
Xiao Jiang, Gang Li, Yu Liu, Xiao-Ping Zhang, You He   +4 more
doaj   +1 more source

FOSS4G date assessment on the isprs optical stereo satellite data. A benchmark for DSM generation [PDF]

, 2017
The ISPRS Working Group 4 Commission I on "Geometric and Radiometric Modelling of Optical Spaceborne Sensors", provides a benchmark dataset with several stereo data sets from space borne stereo sensors.
Crespi, Mattia, Di Rita, Martina, Nascetti, Andrea   +2 more
core   +1 more source

A Comprehensive Benchmark for Optical Remote Sensing Image Super-Resolution

IEEE Geoscience and Remote Sensing Letters
In recent years, there has been a growing interest in using image super-resolution (SR) techniques in remote sensing. These techniques aim to reconstruct high-resolution (HR) imagery from low-resolution (LR) sources. Despite the development of sophisticated SR methodologies, determining what constitutes 'good' SR is still a matter of debate.
Cesar Aybar, David Montero, Simon Donike, Freddie Kalaitzis, Luis Gómez-Chova   +4 more
openaire   +2 more sources

A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases

Arthritis Care &Research, EarlyView.
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah, Alexis Castellanos, Yen Chen, John Piette, Amy Bucher, Susan Murphy   +5 more
wiley   +1 more source

Rotation-Invariant Feature Learning for Object Detection in VHR Optical Remote Sensing Images by Double-Net

IEEE Access, 2020
Rotation-invariant feature extraction is crucial for object detection in Very High Resolution (VHR) optical remote sensing images. Although convolutional neural networks (CNNs) are good at extracting the translation-invariant features and have been ...
Zhi Zhang, Ruoqiao Jiang, Shaohui Mei, Shun Zhang, Yifan Zhang   +4 more
doaj   +1 more source

Forest cover estimation in Ireland using radar remote sensing: a comparative analysis of forest cover assessment methodologies [PDF]

, 2015
Quantification of spatial and temporal changes in forest cover is an essential component of forest monitoring programs. Due to its cloud free capability, Synthetic Aperture Radar (SAR) is an ideal source of information on forest dynamics in countries ...
Barrett, Brian, Barrett, Frank, Bond-Lamberty, Ben, Devaney, John L., O`Halloran, John, Redmond, John   +5 more
core   +4 more sources

Cognitive Behavioral Therapy for Youth with Childhood‐Onset Lupus: A Randomized Clinical Trial

Arthritis Care &Research, Accepted Article.
Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham, Thea Senger‐Carpenter, Jocelyn Zuckerman, Michelle Adler, Mallet R. Reid, Ashley Danguecan, Luana Flores Pereira, Sarah I. Mossad, Samantha L. Ely, Khalid Abulaban, Elizabeth A. Kessler, Natalie Rosenwasser, Tamar B. Rubinstein, Ekemini A. Ogbu, Emily A. Smitherman, Alaina Miller, Taylor Abounader, Elizabeth Ross, Livie Timmerman, Dhriti Sharma, Jennifer N. Stinson, Stacy Allen, Kabita Nanda, Tala El Tal, Deborah M. Levy, Linda T. Hiraki, Hermine I. Brunner, Mathew Reeves, Steven J. Pierce, Andrea Knight   +29 more
wiley   +1 more source

A Deep Cross-Modality Hashing Network for SAR and Optical Remote Sensing Images Retrieval

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
The content-based remote sensing image retrieval (CBRSIR) has recently become a hot topic due to its wide applications in analysis of remote sensing data. However, since conventional CBRSIR is unsuitable in harsh environments, this article focuses on the
Wei Xiong, Zhenyu Xiong, Yang Zhang, Yaqi Cui, Xiangqi Gu   +4 more
doaj   +1 more source