GAN Medical Imaging Papers

• Synthesizing retinal and neuronal images with generative adversarial nets
• Generation of Structural MR Images from Amyloid PET: Application to MR-Less Quantification
• Medical Image Synthesis with Context-Aware Generative Adversarial Networks
• Towards Adversarial Retinal Image Synthesis
• Adversarial Networks for the Detection of Aggressive Prostate Cancer
• Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
• SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays
• Deep De-Aliasing for Fast Compressive Sensing MRI
• Deep Generative Adversarial Networks for Compressed Sensing (GANCS) Automates MRI
• SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation
• Synthesizing Filamentary Structured Images with GANs
• Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks
• Adversarial training and dilated convolutions for brain MRI segmentation
• Freehand Ultrasound Image Simulation with Spatially- Conditioned Generative Adversarial Networks
• Domain-adversarial neural networks to address the appearance variability of histopathology images
• Automatic Liver Segmentation Using an Adversarial Image-to-Image Network
• Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results
• Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs)
• Deep MR to CT Synthesis using Unpaired Data
• Conditional Adversarial Network for Semantic Segmentation of Brain Tumor
• Sharpness-aware Low dose CT denoising using conditional generative adversarial network
• Compressed Sensing MRI Reconstruction using a Generative Adversarial Network with a Cyclic Loss
• Synthetic Medical Images from Dual Generative Adversarial Networks
• Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks
• Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution
• Neural Stain-Style Transfer Learning using GAN for Histopathological Images
• Adversarial deep structured nets for mass segmentation from mammograms
• How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis
• Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
• Visual Feature Attribution usingWasserstein GANs
• Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks
• Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks
• Unsupervised Histopathology Image Synthesis
• Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth
• Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification
• MRI Cross-Modality NeuroImage-to-NeuroImage Translation
• Image Synthesis in Multi-Contrast MRI with Conditional Generative Adversarial Networks
• 3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network
• Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection
• Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network
• GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification
• Cross-modality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size
• Generative Spatiotemporal Modeling Of Neutrophil Behavior
• Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Priory
• StainGAN: Stain Style Transfer for Digital Histological Images
• Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification
• MelanoGANs: High Resolution Skin Lesion Synthesis with GANs
• Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI
• Blood Vessel Geometry Synthesis using Generative Adversarial Networks
• Adversarial Attacks Against Medical Deep Learning Systems
• Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss
• Adversarial Image Registration with Application for MR and TRUS Image Fusion
• Structurally-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising
• High-resolution medical image synthesis using progressively grown generative adversarial networks
• Distribution Matching Losses Can Hallucinate Features in Medical Image Translation
• Adversarial Deformation Regularization for Training Image Registration Neural Networks
• Synergistic Reconstruction and Synthesis via Generative Adversarial Networks for Accelerated Multi-Contrast MRI
• Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging
• Deep CT to MR Synthesis using Paired and Unpaired Data
• Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks
• Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation
• Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images
• CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation
• Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders
• Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network
• MedGAN: Medical Image Translation using GANs
• Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation
• Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images
• Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography
• High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks
• Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks
• Generative Adversarial Networks for MR-CT Deformable Image Registration
• Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks
• Denoising of 3D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network
• CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)
• Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach
• GANs for Medical Image Analysis
• Generating diffusion MRI scalar maps from T1 weighted images using generative adversarial networks
• Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation
• Refacing: reconstructing anonymized facial features using GANs
• Adversarial Inpainting of Medical Image Modalities
• Generative adversarial networks and adversarial methods in biomedical image analysis
• GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks
• Learning Bone Suppression from Dual Energy Chest X-rays using Adversarial Networks
• ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks
• Towards generative adversarial networks as a new paradigm for radiology education
• General-to-Detailed GAN for Infrequent Class Medical Images
• Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images
• How Can We Make GAN Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach
• CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning
• Red blood cell image generation for data augmentation using Conditional Generative Adversarial Networks
• CT synthesis from MR images for orthopedic applications in the lower arm using a conditional generative adversarial network
• TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative Adversarial Networks
• Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier
• Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis
• Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images [Supplementary Material]
• DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction
• cC-GAN: A Robust Transfer-Learning Framework for HEp-2 Specimen Image Segmentation
• Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization
• Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy
• Towards Virtual H&E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks
• Brain MRI super-resolution using 3D generative adversarial networks
• DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation
• Exploring the Potential of Generative Adversarial Networks for Synthesizing Radiological Images of the Spine to be Used in In Silico Trials
• Histopathology Stain-Color Normalization Using Deep Generative Models
• Image Synthesis with a Convolutional Capsule Generative Adversarial Network
• Generative adversarial networks to segment skin lesions
• 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
• Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy
• Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images
• Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology
• Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations
• XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation
• X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks
• Deep echocardiography: data-efficient supervised and semisupervised deep learning towards automated diagnosis of cardiac disease