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NAGNN: Classification of COVID‐19 based on neighboring aware representation from deep graph neural network

International journal of intelligent systems, 2022-02, Vol.37 (2), p.1572-1598

2022

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Detection of abnormal brain in MRI via improved AlexNet and ELM optimized by chaotic bat algorithm

Neural computing & applications, 2021-09, Vol.33 (17), p.10799-10811

2021

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A review on extreme learning machine

Multimedia tools and applications, 2022-12, Vol.81 (29), p.41611-41660

2022

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A Review of Deep Learning on Medical Image Analysis

Mobile networks and applications, 2021-02, Vol.26 (1), p.351-380

2021

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MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray

Pattern recognition letters, 2021-10, Vol.150, p.8-16

2021

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AVNC: Attention-Based VGG-Style Network for COVID-19 Diagnosis by CBAM

IEEE sensors journal, 2022-09, Vol.22 (18), p.17431-17438

2022

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Breast microscopic cancer segmentation and classification using unique 4‐qubit‐quantum model

Microscopy research and technique, 2022-05, Vol.85 (5), p.1926-1936

2022

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A Sustainable Deep Learning Framework for Object Recognition Using Multi-Layers Deep Features Fusion and Selection

Sustainability, 2020-06, Vol.12 (12), p.5037

2020

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Alcoholism identification via convolutional neural network based on parametric ReLU, dropout, and batch normalization

Neural computing & applications, 2020-02, Vol.32 (3), p.665-680

2020

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Alcoholism Detection by Data Augmentation and Convolutional Neural Network with Stochastic Pooling

Journal of medical systems, 2018-01, Vol.42 (1), p.2-11, Article 2

2018

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Fruit category classification via an eight-layer convolutional neural network with parametric rectified linear unit and dropout technique

Multimedia tools and applications, 2020-06, Vol.79 (21-22), p.15117-15133

2020

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ResGNet-C: A graph convolutional neural network for detection of COVID-19

Neurocomputing (Amsterdam), 2021-09, Vol.452, p.592-605

2021

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Subject-Independent Emotion Recognition of EEG Signals Based on Dynamic Empirical Convolutional Neural Network

IEEE/ACM transactions on computational biology and bioinformatics, 2021-09, Vol.18 (5), p.1710-1721

2021

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Enhanced Feature Alignment for Unsupervised Domain Adaptation of Semantic Segmentation

IEEE transactions on multimedia, 2022, Vol.24, p.1042-1054

2022

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Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation

Multimedia tools and applications, 2019-02, Vol.78 (3), p.3613-3632

2019

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Multiple Sclerosis Identification by 14-Layer Convolutional Neural Network With Batch Normalization, Dropout, and Stochastic Pooling

Frontiers in neuroscience, 2018-11, Vol.12, p.818-818

2018

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A Heuristic Neural Network Structure Relying on Fuzzy Logic for Images Scoring

IEEE transactions on fuzzy systems, 2021-01, Vol.29 (1), p.34-45

2021

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An efficient medical image super resolution based on piecewise linear regression strategy using domain transform filtering

Concurrency and computation, 2022-09, Vol.34 (20), p.n/a

2022

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Abnormality Diagnosis in Mammograms by Transfer Learning Based on ResNet18

Fundamenta informaticae, 2019-01, Vol.168 (2-4), p.219-230

2019

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Teeth category classification via seven‐layer deep convolutional neural network with max pooling and global average pooling

International journal of imaging systems and technology, 2019-12, Vol.29 (4), p.577-583

2019

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Deep Rank-Based Average Pooling Network for Covid-19 Recognition

Computers, materials & continua, 2022, Vol.70 (2), p.2797-2813

2022

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SAFNet: A deep spatial attention network with classifier fusion for breast cancer detection

Computers in biology and medicine, 2022-09, Vol.148, p.105812-105812, Article 105812

2022

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Alcoholism Identification Based on an AlexNet Transfer Learning Model

Frontiers in psychiatry, 2019-04, Vol.10, p.205-205

2019

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Breast cancer classification and segmentation framework using multiscale CNN and U‐shaped dual decoded attention network

Expert systems, 2022-11

2022

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Sensorineural hearing loss identification via nine-layer convolutional neural network with batch normalization and dropout

Multimedia tools and applications, 2020-06, Vol.79 (21-22), p.15135-15150

2020

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NAGNN: Classification of COVID‐19 based on neighboring aware representation from deep graph neural network

Detection of abnormal brain in MRI via improved AlexNet and ELM optimized by chaotic bat algorithm

A review on extreme learning machine

A Review of Deep Learning on Medical Image Analysis

MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray

AVNC: Attention-Based VGG-Style Network for COVID-19 Diagnosis by CBAM

Breast microscopic cancer segmentation and classification using unique 4‐qubit‐quantum model

A Sustainable Deep Learning Framework for Object Recognition Using Multi-Layers Deep Features Fusion and Selection

Alcoholism identification via convolutional neural network based on parametric ReLU, dropout, and batch normalization

Alcoholism Detection by Data Augmentation and Convolutional Neural Network with Stochastic Pooling

Fruit category classification via an eight-layer convolutional neural network with parametric rectified linear unit and dropout technique

ResGNet-C: A graph convolutional neural network for detection of COVID-19

Subject-Independent Emotion Recognition of EEG Signals Based on Dynamic Empirical Convolutional Neural Network

Enhanced Feature Alignment for Unsupervised Domain Adaptation of Semantic Segmentation

Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation

Multiple Sclerosis Identification by 14-Layer Convolutional Neural Network With Batch Normalization, Dropout, and Stochastic Pooling

A Heuristic Neural Network Structure Relying on Fuzzy Logic for Images Scoring

An efficient medical image super resolution based on piecewise linear regression strategy using domain transform filtering

Abnormality Diagnosis in Mammograms by Transfer Learning Based on ResNet18

Teeth category classification via seven‐layer deep convolutional neural network with max pooling and global average pooling

Deep Rank-Based Average Pooling Network for Covid-19 Recognition

SAFNet: A deep spatial attention network with classifier fusion for breast cancer detection

Alcoholism Identification Based on an AlexNet Transfer Learning Model

Breast cancer classification and segmentation framework using multiscale CNN and U‐shaped dual decoded attention network

Sensorineural hearing loss identification via nine-layer convolutional neural network with batch normalization and dropout

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