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Deep Fusion Feature Learning Network for MI-EEG Classification

IEEE access, 2018, Vol.6, p.79050-79059

2018

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NAS-Unet: Neural Architecture Search for Medical Image Segmentation

IEEE access, 2019, Vol.7, p.44247-44257

2019

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U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

IEEE access, 2021, Vol.9, p.82031-82057

2021

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Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization

IEEE access, 2020-01, Vol.8, p.1-1

2020

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A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor

IEEE access, 2020-01, Vol.8, p.1-1

2020

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A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)

IEEE access, 2021-01, Vol.9, p.30551-30572

2021

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Deep Convolutional Approaches for the Analysis of COVID-19 Using Chest X-Ray Images From Portable Devices

IEEE access, 2020-01, Vol.8, p.195594-195607

2020

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Plant Disease Detection and Classification by Deep Learning-A Review

IEEE access, 2021, Vol.9, p.56683-56698

2021

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Deep Learning in Medical Ultrasound Image Analysis: A Review

IEEE access, 2021, Vol.9, p.54310-54324

2021

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Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

IEEE access, 2021-01, Vol.9, p.40496-40510

2021

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Transfer Learning With Intelligent Training Data Selection for Prediction of Alzheimer's Disease

IEEE access, 2019, Vol.7, p.72726-72735

2019

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Optimal Feature Selection-Based Medical Image Classification Using Deep Learning Model in Internet of Medical Things

IEEE access, 2020, Vol.8, p.58006-58017

2020

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A Perspective on Deep Imaging

IEEE access, 2016, Vol.4, p.8914-8924

Wang, Ge

2016

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MGMDcGAN: Medical Image Fusion Using Multi-Generator Multi-Discriminator Conditional Generative Adversarial Network

IEEE access, 2020, Vol.8, p.55145-55157

2020

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Hyperparameter Tuning Deep Learning for Diabetic Retinopathy Fundus Image Classification

IEEE access, 2020, Vol.8, p.118164-118173

2020

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Data Augmentation and Transfer Learning for Brain Tumor Detection in Magnetic Resonance Imaging

IEEE access, 2022, Vol.10, p.23217-23233

2022

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MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation

IEEE access, 2020, Vol.8, p.179656-179665

2020

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Trends in Deep Learning for Medical Hyperspectral Image Analysis

IEEE access, 2021, Vol.9, p.79534-79548

2021

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Deep Facial Diagnosis: Deep Transfer Learning From Face Recognition to Facial Diagnosis

IEEE access, 2020, Vol.8, p.123649-123661

2020

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COVID-19 Detection Based on Image Regrouping and Resnet-SVM Using Chest X-Ray Images

IEEE access, 2021-01, Vol.9, p.81902-81912

2021

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Deep Learning Models for Retinal Blood Vessels Segmentation: A Review

IEEE access, 2019, Vol.7, p.71696-71717

2019

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Combining Deep and Handcrafted Image Features for MRI Brain Scan Classification

IEEE access, 2019, Vol.7, p.79959-79967

2019

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Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images

IEEE access, 2021-01, Vol.9, p.85442-85454

2021

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Urinary Stones Segmentation in Abdominal X-Ray Images Using Cascaded U-Net Pipeline With Stone-Embedding Augmentation and Lesion-Size Reweighting Approach

IEEE access, 2023-01, Vol.11, p.25702-25712

2023

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A Unified Approach Addressing Class Imbalance in Magnetic Resonance Image for Deep Learning Models

IEEE access, 2024, Vol.12, p.27368-27384

2024

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Deep Fusion Feature Learning Network for MI-EEG Classification

NAS-Unet: Neural Architecture Search for Medical Image Segmentation

U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization

A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor

A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)

Deep Convolutional Approaches for the Analysis of COVID-19 Using Chest X-Ray Images From Portable Devices

Plant Disease Detection and Classification by Deep Learning-A Review

Deep Learning in Medical Ultrasound Image Analysis: A Review

Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

Transfer Learning With Intelligent Training Data Selection for Prediction of Alzheimer's Disease

Optimal Feature Selection-Based Medical Image Classification Using Deep Learning Model in Internet of Medical Things

A Perspective on Deep Imaging

MGMDcGAN: Medical Image Fusion Using Multi-Generator Multi-Discriminator Conditional Generative Adversarial Network

Hyperparameter Tuning Deep Learning for Diabetic Retinopathy Fundus Image Classification

Data Augmentation and Transfer Learning for Brain Tumor Detection in Magnetic Resonance Imaging

MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation

Trends in Deep Learning for Medical Hyperspectral Image Analysis

Deep Facial Diagnosis: Deep Transfer Learning From Face Recognition to Facial Diagnosis

COVID-19 Detection Based on Image Regrouping and Resnet-SVM Using Chest X-Ray Images

Deep Learning Models for Retinal Blood Vessels Segmentation: A Review

Combining Deep and Handcrafted Image Features for MRI Brain Scan Classification

Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images

Urinary Stones Segmentation in Abdominal X-Ray Images Using Cascaded U-Net Pipeline With Stone-Embedding Augmentation and Lesion-Size Reweighting Approach

A Unified Approach Addressing Class Imbalance in Magnetic Resonance Image for Deep Learning Models

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