Results 61 to 70 of about 559,979 (314)

Simultaneous Facial Landmark Detection, Pose and Deformation Estimation under Facial Occlusion

, 2017
Facial landmark detection, head pose estimation, and facial deformation analysis are typical facial behavior analysis tasks in computer vision. The existing methods usually perform each task independently and sequentially, ignoring their interactions. To
Gou, Chao, Ji, Qiang, Wu, Yue
core   +1 more source

Insights Into the Antigenic Repertoire of Unclassified Synaptic Antibodies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We sought to characterize the sixth most common finding in our neuroimmunological laboratory practice (tissue assay‐observed unclassified neural antibodies [UNAs]), combining protein microarray and phage immunoprecipitation sequencing (PhIP‐Seq). Methods Patient specimens (258; 133 serums; 125 CSF) meeting UNA criteria were profiled;
Michael Gilligan, John R. Mills, Paulina Vargas, Naveen K. Paramasivan, Connie E. Lesnick, Eati Basal, Surendra Dasari, James P. Fryer, Shannon R. Hinson, Joseph Laporta, Amy Espinal, Dennis Fitzgerald, Carolina Garcia, Anna E. Morenkova, Paola Pergami, Anna Shah, Andrew Knight, Reghann LaFrance Corey, Vanda A. Lennon, Anastasia Zekeridou, Sean J. Pittock, Divyanshu Dubey, Andrew McKeon   +22 more
wiley   +1 more source

Pooling Faces: Template based Face Recognition with Pooled Face Images

, 2016
We propose a novel approach to template based face recognition. Our dual goal is to both increase recognition accuracy and reduce the computational and storage costs of template matching.
Choi, Jongmoo, Harel, Shai, Hassner, Tal, Kim, Jungyeon, Masi, Iacopo, Medioni, Gerard, Natarajan, Prem   +6 more
core   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz, Josefine Eck, Joel S. Winston, Kate Baker   +3 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

Stopping Criterion for the Mean Shift Iterative Algorithm

, 2013
Image segmentation is a critical step in computer vision tasks constituting an essential issue for pattern recognition and visual interpretation. In this paper, we propose a new stopping criterion for the mean shift iterative algorithm by using images ...
Pereira, Osvaldo, Pérez, Claudia, Rogríguez, Roberto, Suárez, Yasel Garcés, Torres, Esley   +4 more
core   +1 more source

Evaluation of the Efficacy and Safety of Satralizumab in a Pregnant NMOSD Patient With AQP4/MOG‐IgG Dual Seropositive: A Case Report

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Neuromyelitis Optica Spectrum Disorder (NMOSD) is a chronic autoimmune neuroinflammatory disease, typically characterized by antibodies against aquaporin 4 (AQP4‐IgG) or myelin oligodendrocyte glycoprotein (MOG‐IgG). Simultaneous seropositivity for both antibodies in a single patient is exceedingly rare.
Yeting Luo, Shuhua Xie, Xianghong Liu
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