Awesome GAN for Medical Imaging
A curated list of awesome GAN resources in medical imaging, inspired by the other awesome-* initiatives.
For a complete list of GANs in general computer vision, please visit really-awesome-gan.
To complement or correct it, please contact me at xiy525@mail.usask.ca or send a pull request.
[Generative Adversarial Network in Medical Imaging: A Review] (This is my own review covering 103 articles in commit e9c234e) [scholar] [arXiv]
[GANs for Medical Image Analysis] [scholar] [arXiv]
[Generative adversarial networks and adversarial methods in biomedical image analysis] [scholar] [arXiv]
[Generative Adversarial Networks for Noise Reduction in Low-Dose CT] [scholar] [TMI]
[Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss] [scholar] [arXiv]
[Sharpness-aware Low dose CT denoising using conditional generative adversarial network] [scholar] [arXiv] [JDI] [code]
[Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography] [scholar] [arXiv]
[Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising] [scholar] [arXiv]
[3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network] [scholar] [arXiv]
[CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement] [scholar] [MLMI2018]
[SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation] [scholar] [arXiv]
[Adversarial training and dilated convolutions for brain MRI segmentation] [scholar] [arXiv]
[Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks] [scholar] [arXiv]
[Automatic Liver Segmentation Using an Adversarial Image-to-Image Network] [scholar] [arXiv]
[Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images] [scholar] [MICCAI17]
[SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays] [scholar] [arXiv]
[Adversarial Deep Structured Nets for Mass Segmentation from Mammograms] [scholar] [arXiv] [code]
[Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth] [scholar] [arXiv]
[Adversarial neural networks for basal membrane segmentation of microinvasive cervix carcinoma in histopathology images] [scholar] [ICMLC]
[Unsupervised domain adaptation in brain lesion segmentation with adversarial networks] [scholar] [IPMI2017]
[whole heart and great vessel segmentation with context aware generative adversarial network] [scholar] [BM]
[Generative Adversarial Neural Networks for Pigmented and Non-Pigmented Skin Lesions Detection in Clinical Images] [scholar] [CSCS2017]
[Generative Adversarial Networks to Segment Skin Lesions] [scholar] [ISBI2018]
[A conditional adversarial network for semantic segmentation of brain tumor] [scholar] [arXiv]
[Brain Tumor Segmentation Using an Adversarial Network] [scholar] [MICCAI Brainlesion workshop]
[Joint Optic Disc and Cup Segmentation using Fully Convolutional and Adversarial Networks] [scholar] [OMIA2017]
[Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks] [scholar] [SPIE MI]
[CC-GAN A Robust Transfer-Learning Framework for HEp-2 Specimen Image Segmentation] [scholar] [TA]
[Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss] [scholar] [arXiv]
[Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach] [scholar] [arXiv]
[Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation] [scholar] [arXiv]
[Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning] [scholar] [arXiv]
[Multi-input and dataset-invariant adversarial learning (MDAL) for left and right-ventricular coverage estimation in cardiac MRI] [scholar] [MICCAI2018]
[Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation] [scholar] [MICCAI2018]
[Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery] [scholar] [arXiv]
[Generative adversarial networks for brain lesion detection] [scholar] [JMI]
[Adversarial Networks for the Detection of Aggressive Prostate Cancer] [scholar] [arXiv]
[Visual Feature Attribution using Wasserstein GANs] [scholar] [arXiv]
[Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders] [scholar] [arXiv]
[Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior] [scholar] [arXiv]
[Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging] [scholar] [arXiv]
[Multi-input and dataset-invariant adversarial learning (MDAL) for left and right-ventricular coverage estimation in cardiac MRI] [scholar] [MICCAI2018]
参考自：https://github.com/xinario/awesome-gan-for-medical-imaging
