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Image super-resolution using progressive generative adversarial networks for medical image analysis

Computerized medical imaging and graphics, 2019-01, Vol.71, p.30-39

2019

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Recent advances and clinical applications of deep learning in medical image analysis

Medical image analysis, 2022-07, Vol.79, p.102444-102444, Article 102444

2022

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Perception-oriented generative adversarial network for retinal fundus image super-resolution

Computers in biology and medicine, 2024-01, Vol.168, p.107708-107708, Article 107708

2024

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Image computing for fibre-bundle endomicroscopy: A review

Medical image analysis, 2020-05, Vol.62, p.101620-101620, Article 101620

2020

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MedGA: A novel evolutionary method for image enhancement in medical imaging systems

Expert systems with applications, 2019-04, Vol.119, p.387-399

2019

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Hernie de la graisse orbitaire post COVID 19

Journal français d'ophtalmologie, 2022-01, Vol.45 (3), p.358-359

2022

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A multi-resolution model for histopathology image classification and localization with multiple instance learning

Computers in biology and medicine, 2021-04, Vol.131, p.104253-104253, Article 104253

2021

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A survey on deep learning in medical image analysis

Medical image analysis, 2017-12, Vol.42, p.60-88

2017

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Deep image mining for diabetic retinopathy screening

Medical image analysis, 2017-07, Vol.39, p.178-193

2017

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An imaging-inspired no-reference underwater color image quality assessment metric

Computers & electrical engineering, 2018-08, Vol.70, p.904-913

2018

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Image database TID2013: Peculiarities, results and perspectives

Signal processing. Image communication, 2015-01, Vol.30, p.57-77

2015

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Une couleur inhabituelle

La revue de medecine interne, 2020-07, Vol.42 (1), p.61-62

2020

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LightenNet: A Convolutional Neural Network for weakly illuminated image enhancement

Pattern recognition letters, 2018-03, Vol.104, p.15-22

2018

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Supervised graph hashing for histopathology image retrieval and classification

Medical image analysis, 2017-12, Vol.42, p.117-128

2017

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A bibliography of pixel-based blind image forgery detection techniques

Signal processing. Image communication, 2015-11, Vol.39 (Part A), p.46-74

2015

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A deep learning framework for unsupervised affine and deformable image registration

Medical image analysis, 2019-02, Vol.52, p.128-143

2019

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Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images

Computers in biology and medicine, 2021-05, Vol.132, p.104319-104319, Article 104319

2021

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Generative adversarial network in medical imaging: A review

Medical image analysis, 2019-12, Vol.58, p.101552-101552, Article 101552

2019

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DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem

Medical image analysis, 2019-05, Vol.54, p.253-262

2019

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IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge

Medical image analysis, 2020-01, Vol.59, p.101561-101561, Article 101561

2020

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Efficient and robust cell detection: A structured regression approach

Medical image analysis, 2018-02, Vol.44, p.245-254

2018

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Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis

Medical image analysis, 2022-07, Vol.79, p.102461-102461, Article 102461

2022

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Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation

Computerized medical imaging and graphics, 2022-01, Vol.95, p.102026-102026, Article 102026

2022

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ResGANet: Residual group attention network for medical image classification and segmentation

Medical image analysis, 2022-02, Vol.76, p.102313-102313, Article 102313

2022

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An overview of multi-modal medical image fusion

Neurocomputing (Amsterdam), 2016-11, Vol.215, p.3-20

2016

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Image super-resolution using progressive generative adversarial networks for medical image analysis

Recent advances and clinical applications of deep learning in medical image analysis

Perception-oriented generative adversarial network for retinal fundus image super-resolution

Image computing for fibre-bundle endomicroscopy: A review

MedGA: A novel evolutionary method for image enhancement in medical imaging systems

Hernie de la graisse orbitaire post COVID 19

A multi-resolution model for histopathology image classification and localization with multiple instance learning

A survey on deep learning in medical image analysis

Deep image mining for diabetic retinopathy screening

An imaging-inspired no-reference underwater color image quality assessment metric

Image database TID2013: Peculiarities, results and perspectives

Une couleur inhabituelle

LightenNet: A Convolutional Neural Network for weakly illuminated image enhancement

Supervised graph hashing for histopathology image retrieval and classification

A bibliography of pixel-based blind image forgery detection techniques

A deep learning framework for unsupervised affine and deformable image registration

Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images

Generative adversarial network in medical imaging: A review

DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem

IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge

Efficient and robust cell detection: A structured regression approach

Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis

Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation

ResGANet: Residual group attention network for medical image classification and segmentation

An overview of multi-modal medical image fusion

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