Results 181 to 190 of about 15,576,713 (334)

Defocus Blur-Invariant Scale-Space Feature Extractions

IEEE Transactions on Image Processing, 2016
Elhusain Saad, Keigo Hirakawa
semanticscholar   +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

Uncertainty Quantification for Scale-Space Blob Detection. [PDF]

J Math Imaging Vis
Parzer F, Kirisits C, Scherzer O.
europepmc   +1 more source

Path integration in large-scale space and with novel geometries: Comparing Vector Addition and Encoding-Error Models [PDF]

, 2019
Sevan K. Harootonian, Robert C. Wilson, Lukáš Hejtmánek, Eli M. Ziskin, Arne D. Ekstrom   +4 more
openalex   +1 more source

Chronological and Spatial Distribution of Skeletal Muscle Fat Replacement in FHL1‐Related Myopathies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Variants in the FHL1 gene cause FHL1‐related myopathies (FHL1‐RMs), a group of neuromuscular disorders with diverse clinical presentations. This study aimed to comprehensively characterize the spatial and temporal patterns of skeletal muscle fat replacement throughout the whole body in FHL1‐RMs, to examine disease progression over ...
Rui Shimazaki, Satoru Noguchi, Hotake Takizawa, Yasushi Oya, Yuji Takahashi, Hirofumi Komaki, Hajime Arahata, Shinichiro Hayashi, Ichizo Nishino   +8 more
wiley   +1 more source

Influence of habitat on fine-scale space use by brown lemmings (Lemmus trimucronatus) in the High Arctic. [PDF]

J Mammal
Valcourt M, Fauteux D, Gauthier G.
europepmc   +1 more source

Object recognition from local scale-invariant features

Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999
D. Lowe
semanticscholar   +1 more source

Olink Proteomics Analysis Reveals Heterogeneous Responses to FcRn Blockade in Anti‐AChR Antibody‐Positive Myasthenia Gravis: FGF‐19 as a Novel Biomarker

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aimed to systematically observe the clinical manifestations, immune cell subsets, and dynamic changes in serological indicators in patients with myasthenia gravis (MG) before and after efgartigimod (EFG) treatment. Methods We analyzed the baseline data, laboratory parameters, and lymphocyte subset proportions in MG ...
Tiancheng Luo, Deyou Peng, Zhouao Zhang, Mingjin Yang, Xinyan Guo, Tianyu Ma, Xiaoyu Huang, Mingming Xu, Linlin Fu, Yong Zhang   +9 more
wiley   +1 more source

Prediction of the strength and timing of sunspot cycle 25 reveal decadal-scale space environmental conditions. [PDF]

Nat Commun, 2018
Bhowmik P, Nandy D.
europepmc   +1 more source

A Study on the Representation Design of Historical Context of Space in a Grand Landscape Scale

, 1996
Fumihiko Kobayashi, Hiroshi Mimura
openalex   +2 more sources