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Literature review: efficient deep neural networks techniques for medical image analysis

Neural computing & applications, 2022-04, Vol.34 (8), p.5791-5812

Abdou, Mohamed A.

2022

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An improved medical image synthesis approach based on marine predators algorithm and maximum Gabor energy

Neural computing & applications, 2022-03, Vol.34 (6), p.4367-4385

Dinh, Phu-Hung

2022

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Retinal disease prediction through blood vessel segmentation and classification using ensemble-based deep learning approaches

Neural computing & applications, 2023-06, Vol.35 (17), p.12495-12511

2023

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Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study

Neural computing & applications, 2022-04, Vol.34 (7), p.5321-5347

2022

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Deep belief network for solving the image quality assessment in full reference and no reference model

Neural computing & applications, 2022-12, Vol.34 (24), p.21809-21833

2022

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Deep non-blind deblurring network for saturated blurry images

Neural computing & applications, 2024, Vol.36 (14), p.7829-7843

2024

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Enhanced balancing GAN: minority-class image generation

Neural computing & applications, 2023-03, Vol.35 (7), p.5145-5154

2023

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A functional enhancement on scarred fingerprint using sigmoid filtering

Neural computing & applications, 2022-11, Vol.34 (22), p.19973-19994

2022

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A novel equilibrium optimization algorithm for multi-thresholding image segmentation problems

Neural computing & applications, 2021-09, Vol.33 (17), p.10685-10718

2021

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DCU-Net: a dual-channel U-shaped network for image splicing forgery detection

Neural computing & applications, 2023-03, Vol.35 (7), p.5015-5031

2023

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Scalable image decomposition

Neural computing & applications, 2021-08, Vol.33 (15), p.9137-9151

2021

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Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images

Neural computing & applications, 2021-12, Vol.33 (24), p.16899-16919

2021

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SESF-Fuse: an unsupervised deep model for multi-focus image fusion

Neural computing & applications, 2021-06, Vol.33 (11), p.5793-5804

2021

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A new unsupervised pseudo-siamese network with two filling strategies for image denoising and quality enhancement

Neural computing & applications, 2023-11, Vol.35 (31), p.22855-22863

2023

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HPWO-LS-based deep learning approach with S-ROA-optimized optic cup segmentation for fundus image classification

Neural computing & applications, 2021-08, Vol.33 (15), p.9677-9690

2021

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Detection of copy-move image forgery based on discrete cosine transform

Neural computing & applications, 2018-07, Vol.30 (1), p.183-192

2018

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Video surveillance image enhancement via a convolutional neural network and stacked denoising autoencoder

Neural computing & applications, 2022-02, Vol.34 (4), p.3079-3095

2022

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A reliable framework for accurate brain image examination and treatment planning based on early diagnosis support for clinicians

Neural computing & applications, 2020-10, Vol.32 (20), p.15897-15908

2020

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HDUD-Net: heterogeneous decoupling unsupervised dehaze network

Neural computing & applications, 2024-02, Vol.36 (6), p.2695-2711

2024

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ClothingOut: a category-supervised GAN model for clothing segmentation and retrieval

Neural computing & applications, 2020-05, Vol.32 (9), p.4519-4530

2020

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EnsembleNet: a hybrid approach for vehicle detection and estimation of traffic density based on faster R-CNN and YOLO models

Neural computing & applications, 2023-02, Vol.35 (6), p.4755-4774

2023

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Evaluation on diabetic plantar pressure data-set employing auto-segmentation technologies

Neural computing & applications, 2020-08, Vol.32 (15), p.11041-11054

2020

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InvolutionGAN: lightweight GAN with involution for unsupervised image-to-image translation

Neural computing & applications, 2023-08, Vol.35 (22), p.16593-16605

2023

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Efficient image restoration with style-guided context cluster and interaction

Neural computing & applications, 2024-05, Vol.36 (13), p.6973-6991

2024

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Enhanced classification of remotely sensed hyperspectral images through efficient band selection using autoencoders and genetic algorithm

Neural computing & applications, 2022-12, Vol.34 (24), p.21539-21550

2022

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Literature review: efficient deep neural networks techniques for medical image analysis

An improved medical image synthesis approach based on marine predators algorithm and maximum Gabor energy

Retinal disease prediction through blood vessel segmentation and classification using ensemble-based deep learning approaches

Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study

Deep belief network for solving the image quality assessment in full reference and no reference model

Deep non-blind deblurring network for saturated blurry images

Enhanced balancing GAN: minority-class image generation

A functional enhancement on scarred fingerprint using sigmoid filtering

A novel equilibrium optimization algorithm for multi-thresholding image segmentation problems

DCU-Net: a dual-channel U-shaped network for image splicing forgery detection

Scalable image decomposition

Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images

SESF-Fuse: an unsupervised deep model for multi-focus image fusion

A new unsupervised pseudo-siamese network with two filling strategies for image denoising and quality enhancement

HPWO-LS-based deep learning approach with S-ROA-optimized optic cup segmentation for fundus image classification

Detection of copy-move image forgery based on discrete cosine transform

Video surveillance image enhancement via a convolutional neural network and stacked denoising autoencoder

A reliable framework for accurate brain image examination and treatment planning based on early diagnosis support for clinicians

HDUD-Net: heterogeneous decoupling unsupervised dehaze network

ClothingOut: a category-supervised GAN model for clothing segmentation and retrieval

EnsembleNet: a hybrid approach for vehicle detection and estimation of traffic density based on faster R-CNN and YOLO models

Evaluation on diabetic plantar pressure data-set employing auto-segmentation technologies

InvolutionGAN: lightweight GAN with involution for unsupervised image-to-image translation

Efficient image restoration with style-guided context cluster and interaction

Enhanced classification of remotely sensed hyperspectral images through efficient band selection using autoencoders and genetic algorithm

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