CNN‐Based Neurodegenerative Disease Classification Using QR‐Represented Gait Data
Sign Up to like & getrecommendations! Published in 2024 at "Brain and Behavior"
DOI: 10.1002/brb3.70100
Abstract: The primary aim of this study is to develop an effective and reliable diagnostic system for neurodegenerative diseases by utilizing gait data transformed into QR codes and classified using convolutional neural networks (CNNs). The objective… read more here.
Keywords: neurodegenerative disease; gait data; gait; based neurodegenerative ... See more keywords
High resolution automated labeling of the hippocampus and amygdala using a 3D convolutional neural network trained on whole brain 700 μm isotropic 7T MP2RAGE MRI
Sign Up to like & getrecommendations! Published in 2021 at "Human Brain Mapping"
DOI: 10.1002/hbm.25348
Abstract: Image labeling using convolutional neural networks (CNNs) are a template‐free alternative to traditional morphometric techniques. We trained a 3D deep CNN to label the hippocampus and amygdala on whole brain 700 μm isotropic 3D MP2RAGE MRI… read more here.
Keywords: mp2rage mri; hippocampus; hippocampus amygdala; cnn based ... See more keywords
Automatic detection of contouring errors using convolutional neural networks
Sign Up to like & getrecommendations! Published in 2019 at "Medical Physics"
DOI: 10.1002/mp.13814
Abstract: Purpose To develop a head and neck normal structures autocontouring tool that could be used to automatically detect the errors in autocontours from a clinically validated autocontouring tool. Methods An autocontouring tool based on convolutional… read more here.
Keywords: macs; autocontouring tool; tool; convolutional neural ... See more keywords
Convolutional neural network-based model observer for signal known statistically task in breast tomosynthesis images.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16395
Abstract: BACKGROUND Since human observer studies are resource-intensive, mathematical model observers are frequently used to assess task-based image quality. The most common implementation of these model observers assume that the signal information is exactly known. However,… read more here.
Keywords: based model; model; cnn based; model observer ... See more keywords
CNN‐based fully automatic wrist cartilage volume quantification in MR images: A comparative analysis between different CNN architectures
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29671
Abstract: Automatic measurement of wrist cartilage volume in MR images. read more here.
Keywords: cnn based; cartilage volume; wrist cartilage;
Temporal forecasting of plant height and canopy diameter from RGB images using a CNN-based regression model for ornamental pepper plants (Capsicum spp.) growing under high-temperature stress
Sign Up to like & getrecommendations! Published in 2024 at "Neural Computing and Applications"
DOI: 10.1007/s00521-024-10502-w
Abstract: Being capable of accurately predicting morphological parameters of the plant weeks before achieving fruit maturation is of great importance in the production and selection of suitable ornamental pepper plants. The objective of this article is… read more here.
Keywords: canopy diameter; plant height; plant; height canopy ... See more keywords
CNN-based gender classification in near-infrared periocular images
Sign Up to like & getrecommendations! Published in 2018 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-018-0722-3
Abstract: Periocular region has emerged as a key biometric trait with potential applications in the forensics domain. In this paper, we explore two convolutional neural network (CNN)-based approaches for gender classification using near-infrared images of the… read more here.
Keywords: classification; near infrared; cnn based; periocular images ... See more keywords
A CNN-based computational algorithm for nonlinear image diffusion problem
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09077-0
Abstract: In the past, several partial differential equations (PDEs) based methods have been widely studied in image denoising. While solving these methods numerically, some parameters need to be chosen manually. This paper proposes a cellular neural… read more here.
Keywords: image; diffusion; computational algorithm; algorithm nonlinear ... See more keywords
CNN-based single object detection and tracking in videos and its application to drone detection
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09924-0
Abstract: This paper presents convolutional neural network (CNN)-based single object detection and tracking algorithms. CNN-based object detection methods are directly applicable to static images, but not to videos. On the other hand, model-free visual object tracking… read more here.
Keywords: object detection; detection; single object; detection tracking ... See more keywords
Deep CNN Based Lmser and Strengths of Two Built-In Dualities
Sign Up to like & getrecommendations! Published in 2020 at "Neural Processing Letters"
DOI: 10.1007/s11063-020-10341-5
Abstract: Least mean square error reconstruction for the self-organizing network (Lmser) was proposed in 1991, featured by a bidirectional architecture with several built-in natures. In this paper, we developed Lmser into CNN based Lmser (CLmser), highlighted… read more here.
Keywords: strengths two; lmser strengths; based lmser; deep cnn ... See more keywords
CNN-Based Deep Learning Model for Solar Wind Forecasting
Sign Up to like & getrecommendations! Published in 2021 at "Solar Physics"
DOI: 10.1007/s11207-021-01874-6
Abstract: This article implements a Convolutional Neural Network (CNN)-based deep learning model for solar-wind prediction. Images from the Atmospheric Imaging Assembly (AIA) at 193\.A wavelength are used for training. Solar-wind speed is taken from the Advanced… read more here.
Keywords: wind; deep learning; model; cnn based ... See more keywords