Results 71 to 80 of about 56,368 (297)

Juvenile Huntington Disease With Cerebellar‐Predominant Atrophy Identified by Genome Sequencing

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Juvenile Huntington disease accounts for a small fraction of Huntington disease cases and is driven by the largest trinucleotide repeat expansions. We describe a 6‐year‐old boy with progressive global regression, generalized dystonia, and epilepsy, in whom serial imaging showed striking cerebellar‐predominant atrophy with an initially normal ...
Enrique Gonzalez Saez‐Diez, Amy Tam, Siofra Carty, Monica Ferrer Socorro, Kathryn Yang, Darius Ebrahimi‐Fakhari   +5 more
wiley   +1 more source

A deep learning framework for species-level identification of root-knot nematodes using perineal pattern images

Scientific Reports
The use of machine learning is an emerging approach in precision agriculture, including pest identification, disease diagnostics, and soil health monitoring.
Sristi Das, Koyel Ghosh, Sandip Mondal, Suvasri Dutta, Matiyar Rahaman Khan, Utpal Garain, Abhishek Mukherjee   +6 more
doaj   +1 more source

Hierarchical local global transformer for point clouds analysis

International Journal of Applied Earth Observations and Geoinformation
Transformer networks have demonstrated remarkable performance in point cloud analysis. However, achieving a balance between local regional context and global long-range context learning remains a significant challenge.
Dilong Li, Shenghong Zheng, Ziyi Chen, Xiang Li, Lanying Wang, Jixiang Du   +5 more
doaj   +1 more source

Complex event detection via multi-source video attributes

, 2013
10.1109/CVPR.2013.339Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition2627 ...
Alexander G. Hauptmann, Xu, Z, Yan, S., Nicu Sebe, Zhongwen Xu, Hauptmann, AG, Xu, Z., Nicu Sebe Alex, Yang, Y, Ma, Z., Hauptmann, A.G., Yang, Y., Yan, S, Shuicheng Yan, Yi Yang, Sebe, N, Zhigang Ma, Ma, Z, Sebe, N., Er G. Hauptmann   +19 more
core   +1 more source

Efficacy of Fampridine on Refractory Optic Neuritis in Neuromyelitis Optica Spectrum Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Neuromyelitis optica spectrum disorders (NMOSD) usually occur with acute refractory optic neuritis (ON). However, there is a lack of efficacious treatments to improve recovery. Since fampridine has been found to improve the prognosis of multiple sclerosis (MS) and MS‐related ON, it is necessary to explore the efficacy of fampridine ...
Hongxuan Wang, Wanru Chen, Xiangpen Li, Hengjian Lu, Chenguang Li, Xiaoni Zhang, Lulu Bu, Xiaoyu Xu, Qingyu Shen, Ying Peng   +9 more
wiley   +1 more source

PointSSM: State space model for large-scale LiDAR point cloud semantic segmentation

International Journal of Applied Earth Observations and Geoinformation
LiDAR point cloud semantic segmentation is the foundation of numerous practical applications. Recently, the Mamba, as a promising alternative to Transformer, has been getting intense attention in this field.
Dilong Li, Jianlong Guan, Ziyi Chen, Jingchen Liao, Jixiang Du   +4 more
doaj   +1 more source

The Association of Amyloid‐β and Tau With Synaptic Dysfunction in Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To clarify the relative contributions of amyloid and tau to synaptic dysfunction in Alzheimer's disease (AD). Methods We included 109 cognitively unimpaired and impaired individuals from the Geneva Memory Center with available CSF synaptic biomarkers (neurogranin, SNAP‐25, GAP‐43). Participants were stratified according to amyloid (A)
Fausto Roveta, Augusto J. Mendes, Valentina Garibotto, Cecilia Boccalini, Aurelien Lathuiliere, Innocenzo Rainero, Elisa Rubino, Henrik Zetterberg, Nicholas J. Ashton, Federica Ribaldi, Giovanni B. Frisoni, for the Alzheimer's Disease Neuroimaging Initiative   +11 more
wiley   +1 more source

Introduction to Pattern Recognition and Computer Vision

Interdisciplinary Information Sciences, 2011
These lecture notes are composed for a half-year course lecture to introduce the pattern recognition and computer vision for under-graduate or graduate students. They consist of three parts: Pattern Recognition, 3D Object Recognition, and Image Matching, all of which also have three chapters.These notes focus on the orthodox and theoretical approaches ...
openaire   +2 more sources

Automatic Lesion Morphometrics Reliably Predict Sensorimotor Recovery After Spinal Cord Injury: A Longitudinal, Multicenter Neuroimaging Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate automatic magnetic resonance imaging (MRI)‐derived lesion morphometrics against manual measurements and their prognostic value for characterizing distinct acute to chronic neurological recovery trajectories after spinal cord injury (SCI). Methods We studied a retrospective, multicenter cohort of cervical and thoracolumbar
Dario Pfyffer, Jan Valošek, Lynn Farner, Enamundram Naga Karthik, Gergely David, Norbert Weidner, Rainer Abel, Doris Maier, Armin Curt, Margret Hund‐Georgiadis, Mirko Aach, Michael Baumberger, Julien Cohen‐Adad, Patrick Freund, the Nogo Inhibition in Spinal Cord Injury Study Group, Rainer Abel, Kerstin Rehahn, Mirko Aach, Klaus Röhl, Norbert Weidner, Marion Saur, Nikolaus Weiskopf, Doris Maier, Andreas Badke, Margret Hund‐Georgiadis, Michael Baumberger, Armin Curt, Jesus Benito‐Penalva, Jiri Kriz   +28 more
wiley   +1 more source

Trusting the Computer in Computer Vision: A Privacy-Affirming Framework

, 2017
The use of surveillance cameras continues to increase, ranging from conventional applications such as law enforcement to newer scenarios with looser requirements such as gathering business intelligence.
Morteza Biglari-Abhari, Andrew Tzer-Yeu Chen, Kevin I-Kai Wang, Biglari-Abhari, M, Wang, K, Chen, AT   +5 more
core   +1 more source