A review of recent advances in medical imaging using the adversarial training scheme with the hope of benefiting researchers interested in this technique.
Authors
Xin Yi
1 papers
Ekta Walia
1 papers
P. Babyn
1 papers
References304 items
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Health
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Pulmonary Nodule
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X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks
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Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN
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Semantic Image Synthesis With Spatially-Adaptive Normalization
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Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge
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TomoGAN: low-dose synchrotron x-ray tomography with generative adversarial networks: discussion.
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TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks
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Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy
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CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
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CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning
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Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images
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A Style-Based Generator Architecture for Generative Adversarial Networks
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Towards generative adversarial networks as a new paradigm for radiology education
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SUSAN: segment unannotated image structure using adversarial network
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Spine‐GAN: Semantic segmentation of multiple spinal structures
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ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks
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Learning Bone Suppression from Dual Energy Chest X-rays using Adversarial Networks
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Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
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An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection
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GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks
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SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
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Adversarial Inpainting of Medical Image Modalities
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Refacing: Reconstructing Anonymized Facial Features Using Gans
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Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation
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Generating Diffusion MRI scalar maps from T1 weighted images using generative adversarial networks
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Generative Adversarial Network for Medical Images (MI-GAN)
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Large Scale GAN Training for High Fidelity Natural Image Synthesis
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Retrospective Correction Of Rigid And Non-Rigid MR Motion Artifacts Using Gans
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Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration
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Multi-channel Generative Adversarial Network for Parallel Magnetic Resonance Image Reconstruction in K-space
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Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear
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Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction
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MuTGAN: Simultaneous Segmentation and Quantification of Myocardial Infarction Without Contrast Agents via Joint Adversarial Learning
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Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis
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Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks
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Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning
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Adversarial Sparse-View CBCT Artifact Reduction
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Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation
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Sparse-View CT Reconstruction Using Wasserstein GANs
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Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN
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Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach
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Generating Highly Realistic Images of Skin Lesions with GANs
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ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans
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Denoising of 3-D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network
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CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)
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Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks
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Generative Adversarial Networks for MR-CT Deformable Image Registration
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CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement
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Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks
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Generating synthetic CTs from magnetic resonance images using generative adversarial networks
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High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks
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3D conditional generative adversarial networks for high-quality PET image estimation at low dose
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Improving resolution of MR images with an adversarial network incorporating images with different contrast
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Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction
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Retinal Image Synthesis for CAD Development
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Cycle‐consistent adversarial denoising network for multiphase coronary CT angiography
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Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT
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MedGAN: Medical Image Translation using GANs
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Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network
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Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation
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Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network
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CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation
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The GAN Landscape: Losses, Architectures, Regularization, and Normalization
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Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images
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Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation
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PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup
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DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction
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Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks
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Deep CT to MR Synthesis Using Paired and Unpaired Data
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Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging
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Synergistic Reconstruction and Synthesis via Generative Adversarial Networks for Accelerated Multi-Contrast MRI
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AutoAugment: Learning Augmentation Policies from Data
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Stain normalization of histopathology images using generative adversarial networks
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Distribution Matching Losses Can Hallucinate Features in Medical Image Translation
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Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images
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High-resolution medical image synthesis using progressively grown generative adversarial networks
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Exploring the Potential of Generative Adversarial Networks for Synthesizing Radiological Images of the Spine to be Used in In Silico Trials
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Text to Image Synthesis Using Generative Adversarial Networks
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Structurally-Sensitive Multi-Scale Deep Neural Network for Low-Dose CT Denoising
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Adversarial Semantic Alignment for Improved Image Captions
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Adversarial Image Registration with Application for MR and TRUS Image Fusion
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Improved Image Captioning with Adversarial Semantic Alignment
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Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss
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Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training
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Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI
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MelanoGANs: High Resolution Skin Lesion Synthesis with GANs
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Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders
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Brain MRI super-resolution using 3D generative adversarial networks
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Blood Vessel Geometry Synthesis using Generative Adversarial Networks
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Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification
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Staingan: Stain Style Transfer for Digital Histological Images
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GAN-based synthetic brain MR image generation
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Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation
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Deformable medical image registration using generative adversarial networks
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Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior
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Generative adversarial networks to segment skin lesions
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3D cGAN based cross-modality MR image synthesis for brain tumor segmentation
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Generative spatiotemporal modeling of neutrophil behavior
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Cross-modality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size
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An Introduction to Image Synthesis with Generative Adversarial Nets
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Medical Image Synthesis with Deep Convolutional Adversarial Networks
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Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network
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GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification
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Chest x-ray generation and data augmentation for cardiovascular abnormality classification
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Modelling the progression of Alzheimer's disease in MRI using generative adversarial networks
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Simulation and Synthesis in Medical Imaging
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Adversarial Stain Transfer for Histopathology Image Analysis
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End-to-End Adversarial Retinal Image Synthesis
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Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network
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cC-GAN: A Robust Transfer-Learning Framework for HEp-2 Specimen Image Segmentation
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Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection
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Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy
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Spectral Normalization for Generative Adversarial Networks
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cGANs with Projection Discriminator
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On Convergence and Stability of GANs
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3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network
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Image Synthesis in Multi-Contrast MRI With Conditional Generative Adversarial Networks
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MaskGAN: Better Text Generation via Filling in the ______
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MRI Image-to-Image Translation for Cross-Modality Image Registration and Segmentation
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
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Learning implicit brain MRI manifolds with deep learning
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Simulating patho-realistic ultrasound images using deep generative networks with adversarial learning
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Adversarial synthesis learning enables segmentation without target modality ground truth
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Unsupervised Histopathology Image Synthesis
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Generation of Structural MR Images from Amyloid PET: Application to MR-Less Quantification
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Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks
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Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks
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High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
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AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
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Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database
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Exploiting the potential of unlabeled endoscopic video data with self-supervised learning
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Visual Feature Attribution Using Wasserstein GANs
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On the Automatic Generation of Medical Imaging Reports
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Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
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Progressive Growing of GANs for Improved Quality, Stability, and Variation
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How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis
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Adversarial deep structured nets for mass segmentation from mammograms
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Generative Adversarial Networks: An Overview
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Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution
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Towards Virtual H&E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks
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Low‐dose CT for the detection and classification of metastatic liver lesions: Results of the 2016 Low Dose CT Grand Challenge
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Brain Tumor Segmentation Using an Adversarial Network
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Accelerated Magnetic Resonance Imaging by Adversarial Neural Network
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Joint Optic Disc and Cup Segmentation Using Fully Convolutional and Adversarial Networks
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A Conditional Adversarial Network for Semantic Segmentation of Brain Tumor
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Biomedical Data Augmentation Using Generative Adversarial Neural Networks
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Adversarial Image Synthesis for Unpaired Multi-modal Cardiac Data
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Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images
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Semi-supervised Assessment of Incomplete LV Coverage in Cardiac MRI Using Generative Adversarial Nets
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Reconstruction of Thin-Slice Medical Images Using Generative Adversarial Network
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Synthetic Medical Images from Dual Generative Adversarial Networks
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Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks
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Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss
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Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network
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Conditional Adversarial Network for Semantic Segmentation of Brain Tumor
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Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss
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Deep MR to CT Synthesis Using Unpaired Data
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Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs)
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Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results
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Automatic Liver Segmentation Using an Adversarial Image-to-Image Network
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Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks
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Wasserstein Generative Adversarial Networks
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Adversarial Training and Dilated Convolutions for Brain MRI Segmentation
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Adversarial neural networks for basal membrane segmentation of microinvasive cervix carcinoma in histopathology images
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Generative Adversarial Learning for Reducing Manual Annotation in Semantic Segmentation on Large Scale Miscroscopy Images: Automated Vessel Segmentation in Retinal Fundus Image as Test Case
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Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks
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GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
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GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium
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Synthesizing Filamentary Structured Images with GANs
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SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation
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Deep Generative Adversarial Networks for Compressed Sensing Automates MRI
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Generative Adversarial Networks for Noise Reduction in Low-Dose CT
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Stabilizing Adversarial Nets With Prediction Methods
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Deep De-Aliasing for Fast Compressive Sensing MRI
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Generative Adversarial Network based Synthesis for Supervised Medical Image Segmentation
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Generative Adversarial Neural Networks for Pigmented and Non-Pigmented Skin Lesions Detection in Clinical Images
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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
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Adversarial Multi-task Learning for Text Classification
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
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Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images
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SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays
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Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization
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Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
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Towards Diverse and Natural Image Descriptions via a Conditional GAN
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Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
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Colorization as a Proxy Task for Visual Understanding
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Large Kernel Matters — Improve Semantic Segmentation by Global Convolutional Network
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Unsupervised Image-to-Image Translation Networks
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[Pulmonary nodules].
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Adversarial Networks for the Detection of Aggressive Prostate Cancer
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Generative adversarial networks for brain lesion detection
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A survey on deep learning in medical image analysis
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Towards Adversarial Retinal Image Synthesis
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Wasserstein GAN
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Dermatologist-level classification of skin cancer with deep neural networks
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Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
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Adversarial Deep Structural Networks for Mammographic Mass Segmentation
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Medical Image Synthesis with Context-Aware Generative Adversarial Networks
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Stacked Generative Adversarial Networks
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Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
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StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks
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Scribbler: Controlling Deep Image Synthesis with Sketch and Color
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Image-to-Image Translation with Conditional Adversarial Networks
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Least Squares Generative Adversarial Networks
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Conditional Image Synthesis with Auxiliary Classifier GANs
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Learning What and Where to Draw
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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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Energy-based Generative Adversarial Network
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Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI
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V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
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InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
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Improved Techniques for Training GANs
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Adversarially Learned Inference
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f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
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Adversarial Feature Learning
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Generative Adversarial Text to Image Synthesis
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Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC)
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Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)
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Context Encoders: Feature Learning by Inpainting
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Gland segmentation in colon histology images: The glas challenge contest
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Autoencoding beyond pixels using a learned similarity metric
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
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Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
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Benchmarking human epithelial type 2 interphase cells classification methods on a very large dataset
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Accurate and Scalable System for Automatic Detection of Malignant Melanoma
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You Should Use Regression to Detect Cells
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Interactive Whole-Heart Segmentation in Congenital Heart Disease
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Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
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Spatial Transformer Networks
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U-Net: Convolutional Networks for Biomedical Image Segmentation
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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Two public chest X-ray datasets for computer-aided screening of pulmonary diseases.
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Fully convolutional networks for semantic segmentation
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Conditional Generative Adversarial Nets
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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FEEDBACK ON A PUBLICLY DISTRIBUTED IMAGE DATABASE: THE MESSIDOR DATABASE
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Standardized evaluation methodology and reference database for evaluating IVUS image segmentation
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Robust Vessel Segmentation in Fundus Images
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Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations
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Diabetic retinopathy image database(DRiDB): A new database for diabetic retinopathy screening programs research
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Automatic no-reference quality assessment for retinal fundus images using vessel segmentation
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ImageNet classification with deep convolutional neural networks
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MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration
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The Human Connectome Project: A data acquisition perspective
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INbreast: toward a full-field digital mammographic database.
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Quickly Generating Representative Samples from an RBM-Derived Process
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FSIM: A Feature Similarity Index for Image Quality Assessment
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RIM-ONE: An open retinal image database for optic nerve evaluation
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Positron emission tomography-computed tomography standardized uptake values in clinical practice and assessing response to therapy.
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Gamma Dose Distribution Evaluation Tool
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Diagnosis of Ovarian Carcinoma Cell Type is Highly Reproducible: A Transcanadian Study
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Computer vision and pattern recognition
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Image structure clustering for image quality verification of color retina images in diabetic retinopathy screening
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International Journal for Computer Assisted Radiology and Surgery
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Image information and visual quality
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An information fidelity criterion for image quality assessment using natural scene statistics
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Vessel tortuosity and brain tumor malignancy: a blinded study.
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Global Contrast Factor - a New Approach to Image Contrast
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Ridge-based vessel segmentation in color images of the retina
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Image quality assessment: from error visibility to structural similarity
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Best practices for convolutional neural networks applied to visual document analysis
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Mutual-information-based registration of medical images: a survey
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Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain
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A universal image quality index
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Informed consent for medical photographs. Dysmorphology Subcommittee of the Clinical Practice Committee, American College of Medical Genetics.
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Thirteen ways to look at the correlation coefficient
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Denoising View project Pharmacokinetics new website for Q/A, discussions
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Chest xray generation and data augmentation for cardiovascular abnormality classification, in: Medical Imaging 2018: Image Processing, International Society for Optics and Photonics
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Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
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Color and Texture
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Whole Heart and Great Vessel Segmentation with Context-aware of Generative Adversarial Networks
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An Adversarial Learning Approach to Medical Image Synthesis for Lesion Removal
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GENERATIVE ADVERSARIAL NETS
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Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising
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OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis
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2018c. MRI image-to-image
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A .P
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2018a. Gan-based synthetic brain
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Deep learning algorithm for optimizing critical findings report
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SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation
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for Health Information. Wait times for priority procedures in canada
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Development and validation of machine learning based natural language classifiers to automatically assign MRI abdomen/pelvis protocols from free-text clinical indications
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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - First International Workshop, Brainles 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers
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International Workshop on
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Data from nsclc-radiomics. The cancer imaging archive
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Data from LIDC-IDRI
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Ph2: a public database for the analysis of dermoscopic images
A Color and Texture Based Hierarchical K-NN Approach to the Classification of Non-melanoma Skin Lesions
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Medical Image Computing and Computer-Assisted Intervention
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Image Quality Assessment
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The DIARETDB1 Diabetic Retinopathy Database and Evaluation Protocol
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Informed consent for medical photographs
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Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists' detection of pulmonary nodules.
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Current Status of the Digital Database for Screening Mammography
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Neocognitron: A Self-Organizing Neural Network Model for a Mechanism of Visual Pattern Recognition
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Histopathology Images
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pressed sensing mri reconstruction using a generative adversarial network with a cyclic loss Unsu - pervised representation learning with deep convolutional generative adversarial networks
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proved training of wasserstein gans . Advances in neural information processing systems