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https://github.com/xinario/awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging
https://github.com/xinario/awesome-gan-for-medical-imaging

List: awesome-gan-for-medical-imaging

ct-denoising deeplearning detection gan generative-adversarial-network medical-image-synthesis medical-imaging reconstruction registration segmentation super-resolution

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Awesome GAN for Medical Imaging

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# 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](https://github.com/nightrome/really-awesome-gan).



To complement or correct it, please contact me at [email protected] or send a pull request.



## Overview

- [Review](#review)

- [Low Dose CT Denoising](#low-dose-ct-denoising)

- [Segmentation](#segmentation)

- [Detection](#detection)

- [Medical Image Synthesis](#medical-image-synthesis)

- [Reconstruction](#reconstruction)

- [Classification](#classification)

- [Registration](#registration)

- [Others](#others)



# Review

- [Generative Adversarial Network in Medical Imaging: A Review] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Generative+adversarial+network+in+medical+imaging%3A+A+review&btnG=) [[MedIA]](https://www.sciencedirect.com/science/article/abs/pii/S1361841518308430)

- [GANs for Medical Image Analysis] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=GANs+for+Medical+Image+Analysis&btnG=) [[arXiv]](https://arxiv.org/abs/1809.06222)

- [Generative adversarial networks and adversarial methods in biomedical image analysis] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Generative+adversarial+networks+and+adversarial+methods+in+biomedical+image+analysis&btnG=) [[arXiv]](https://arxiv.org/abs/1810.10352)



# Low Dose CT Denoising

- [Generative Adversarial Networks for Noise Reduction in Low-Dose CT]  [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&sciodt=0%2C5&cites=18303813038948630123&scipsc=&q=Generative+Adversarial+Networks+for+Noise+Reduction+in+Low-Dose+CT&btnG=) [[TMI]](http://ieeexplore.ieee.org/document/7934380/)

- [Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Low+Dose+CT+Image+Denoising+Using+a+Generative+Adversarial+Network+with+Wasserstein+Distance+and+Perceptual+Loss&btnG=) [[arXiv]](https://arxiv.org/abs/1708.00961)

- [Sharpness-aware Low dose CT denoising using conditional generative adversarial network] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Sharpness-aware+Low+dose+CT+denoising+using+conditional+generative+adversarial+network&btnG=) [[arXiv]](https://arxiv.org/abs/1708.06453) [[JDI]](https://link.springer.com/article/10.1007/s10278-018-0056-0) [[code]](https://github.com/xinario/SAGAN)

- [Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Cycle+Consistent+Adversarial+Denoising+Network+for+Multiphase+Coronary+CT+Angiography&btnG=) [[arXiv]](https://arxiv.org/abs/1806.09748)

- [Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Structure-sensitive+Multi-scale+Deep+Neural+Network+for+Low-Dose+CT+Denoising&btnG=) [[arXiv]](https://arxiv.org/abs/1805.00587)

- [3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=3-D+Convolutional+Encoder-Decoder+Network+for+Low-Dose+CT+via+Transfer+Learning+From+a+2-D+Trained+Network&btnG=) [[arXiv]](https://arxiv.org/abs/1802.05656)

- [CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement] [[scholar]](https://scholar.google.ca/scholar?q=CT+Image+Enhancement+Using+Stacked+Generative+Adversarial+Networks+and+Transfer+Learning+for+Lesion+Segmentation+Improvement&hl=en&as_sdt=0&as_vis=1&oi=scholart) [[MLMI2018]](https://link.springer.com/chapter/10.1007/978-3-030-00919-9_6)

- [TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=TomoGAN%3A+Low-Dose+X-Ray+Tomography+with+Generative+Adversarial+Networks&btnG=) [[arXiv]](https://arxiv.org/abs/1902.07582) 



# Segmentation

- [SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=SegAN%3A+Adversarial+Network+with+Multi-scale+L1+Loss+for+Medical+Image+Segmentation&btnG=) [[arXiv]](https://arxiv.org/abs/1706.01805)

- [Adversarial training and dilated convolutions for brain MRI segmentation] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Adversarial+training+and+dilated+convolutions+for+brain+MRI+segmentation&btnG=) [[arXiv]](https://arxiv.org/abs/1707.03195)

- [Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Retinal+Vessel+Segmentation+in+Fundoscopic+Images+with+Generative+Adversarial+Networks&btnG=) [[arXiv]](https://arxiv.org/abs/1706.09318)

- [Automatic Liver Segmentation Using an Adversarial Image-to-Image Network] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Automatic+Liver+Segmentation+Using+an+Adversarial+Image-to-Image+Network&btnG=) [[arXiv]](https://arxiv.org/abs/1707.08037)

- [Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Deep+Adversarial+Networks+for+Biomedical+Image+Segmentation+Utilizing+Unannotated+Images&btnG=) [[MICCAI17]](https://link.springer.com/chapter/10.1007/978-3-319-66179-7_47)

- [SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=SCAN%3A+Structure+Correcting+Adversarial+Network+for+Organ+Segmentation+in+Chest+X-rays&btnG=) [[arXiv]](https://arxiv.org/abs/1703.08770)

- [Adversarial Deep Structured Nets for Mass Segmentation from Mammograms] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Adversarial+Deep+Structured+Nets+for+Mass+Segmentation+from+Mammograms&btnG=) [[arXiv]](https://arxiv.org/abs/1710.09288) [[code]](https://github.com/wentaozhu/adversarial-deep-structural-networks)

- [Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Adversarial+Synthesis+Learning+Enables+Segmentation+Without+Target+Modality+Ground+Truth&btnG=) [[arXiv]](https://arxiv.org/abs/1712.07695)

- [Adversarial neural networks for basal membrane segmentation of microinvasive cervix carcinoma in histopathology images] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Adversarial+neural+networks+for+basal+membrane+segmentation+of+microinvasive+cervix+carcinoma+in+histopathology+images&btnG=) [[ICMLC]](https://ieeexplore-ieee-org.cyber.usask.ca/abstract/document/8108952/)

- [Unsupervised domain adaptation in brain lesion segmentation with adversarial networks] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Unsupervised+domain+adaptation+in+brain+lesion+segmentation+with+adversarial+networks&btnG=) [[IPMI2017]](https://link.springer.com/chapter/10.1007/978-3-319-59050-9_47)

- [whole heart and great vessel segmentation with context aware generative adversarial network] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=whole+heart+and+great+vessel+segmentation+with+context+aware+generative+adversarial+network&btnG=) [[BM]](https://link.springer.com/chapter/10.1007/978-3-662-56537-7_89)

- [Generative Adversarial Neural Networks for Pigmented and Non-Pigmented Skin Lesions Detection in Clinical Images] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Generative+Adversarial+Neural+Networks+for+Pigmented+and+Non-Pigmented+Skin+Lesions+Detection+in+Clinical+Images&btnG=) [[CSCS2017]](https://ieeexplore.ieee.org/document/7968584/)

- [Generative Adversarial Networks to Segment Skin Lesions] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Generative+Adversarial+Networks+to+Segment+Skin+Lesions&btnG=) [[ISBI2018]](http://www.cs.sfu.ca/~hamarneh/ecopy/isbi2018b.pdf)

- [A conditional adversarial network for semantic segmentation of brain tumor] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Conditional+Adversarial+Network+for+Semantic+Segmentation+of+Brain+Tumo&btnG=) [[arXiv]](https://arxiv.org/abs/1708.05227)

- [Brain Tumor Segmentation Using an Adversarial Network] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Brain+Tumor+Segmentation+Using+an+Adversarial+Network&btnG=) [[MICCAI Brainlesion workshop]](https://link.springer.com/chapter/10.1007/978-3-319-75238-9_11)

- [Joint Optic Disc and Cup Segmentation using Fully Convolutional and Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Joint+Optic+Disc+and+Cup+Segmentation+using+Fully+Convolutional+and+Adversarial+Networks&btnG=) [[OMIA2017]](https://link.springer.com/chapter/10.1007/978-3-319-67561-9_19)

- [Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Splenomegaly+Segmentation+using+Global+Convolutional+Kernels+and+Conditional+Generative+Adversarial+Networks&btnG=) [[SPIE MI]](https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10574/1057409/Splenomegaly-segmentation-using-global-convolutional-kernels-and-conditional-generative-adversarial/10.1117/12.2293406.short?SSO=1)

- [CC-GAN A Robust Transfer-Learning Framework for HEp-2 Specimen Image Segmentation] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=CC-GAN+A+Robust+Transfer-Learning+Framework+for+HEp-2+Specimen+Image+Segmentation&btnG=) [[TA]](https://ieeexplore.ieee.org/abstract/document/8301400/)

- [Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Conditional+Generative+Refinement+Adversarial+Networks+for+Unbalanced+Medical+Image+Semantic+Segmentation&btnG=) [[arXiv]](https://arxiv.org/abs/1810.03871)

- [Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Few-shot+3D+Multi-modal+Medical+Image+Segmentation+using+Generative+Adversarial+Learning&btnG=) [[arXiv]](https://arxiv.org/abs/1810.12241)

- [Multi-input and dataset-invariant adversarial learning (MDAL) for left and right-ventricular coverage estimation in cardiac MRI] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Multi-Input+and+Dataset-Invariant+Adversarial+Learning+%28MDAL%29+for+Left+and+Right-Ventricular+Coverage+Estimation+in+Cardiac+MRI&btnG=) [[MICCAI2018]](https://link.springer.com/chapter/10.1007/978-3-030-00934-2_54)

- [Spine-GAN: Semantic segmentation of multiple spinal structures] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Spine-GAN%3A+Semantic+segmentation+of+multiple+spinal+structures&btnG=) [[MedIA]](https://www.medicalimageanalysisjournal.com/article/S1361-8415(18)30642-X/abstract)

- [Adversarial Networks for the Detection of Aggressive Prostate Cancer] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=dversarial+Networks+for+the+Detection+of+Aggressive+Prostate+Cancer&btnG=) [[arXiv]](https://arxiv.org/abs/1702.08014)



# Detection

- [Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Unsupervised+Anomaly+Detection+with+Generative+Adversarial+Networks+to+Guide+Marker+Discovery&btnG=) [[arXiv]](https://arxiv.org/abs/1703.05921)

- [Generative adversarial networks for brain lesion detection] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Generative+adversarial+networks+for+brain+lesion+detection&btnG=) [[JMI]](https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10133/1/Generative-adversarial-networks-for-brain-lesion-detection/10.1117/12.2254487.short)

- [Visual Feature Attribution using Wasserstein GANs] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Visual+Feature+Attribution+using+Wasserstein+GANs&btnG=) [[arXiv]](https://arxiv.org/abs/1711.08998)

- [Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Unsupervised+Detection+of+Lesions+in+Brain+MRI+using+constrained+adversarial+auto-encoders&btnG=) [[arXiv]](https://arxiv.org/abs/1806.04972)

- [Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Btrfly+Net+Vertebrae+Labelling+with+Energy-Based+Adversarial+Learning+of+Local+Spine+Prior&btnG=) [[arXiv]](https://arxiv.org/abs/1804.01307)

- [Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Deep+Adversarial+Context-Aware+Landmark+Detection+for+Ultrasound+Imaging&btnG=) [[arXiv]](https://arxiv.org/abs/1805.10737)



# Medical Image Synthesis

- [Medical Image Synthesis with Context-Aware Generative Adversarial Networks] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Medical+Image+Synthesis+with+Context-Aware+Generative+Adversarial+Networks&btnG=) [[arXiv]](https://arxiv.org/abs/1612.05362)

- [Medical Image Synthesis with Deep Convolutional Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Medical+Image+Synthesis+with+Deep+Convolutional+Adversarial+Networks&btnG=) [[TBME]](https://ieeexplore.ieee.org/abstract/document/8310638/) (published vision of the above preprint)

- [Deep MR to CT Synthesis using Unpaired Data] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Deep+MR+to+CT+Synthesis+using+Unpaired+Data&btnG=) [[arXiv]](https://arxiv.org/abs/1708.01155)

- [Synthesizing Filamentary Structured Images with GANs] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Synthesizing+Filamentary+Structured+Images+with+GANs&btnG=) [[arXiv]](https://arxiv.org/abs/1706.02185) [[code]](https://web.bii.a-star.edu.sg/archive/machine_learning/Projects/filaStructObjs/Synthesis/downloads.html)

- [Synthesizing retinal and neuronal images with generative adversarial nets] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Synthesizing+retinal+and+neuronal+images+with+generative+adversarial+nets&btnG=) [[MedIA]](https://www.sciencedirect.com/science/article/pii/S1361841518304596) (published vision of the above preprint)

- [Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Synthesis+of+Positron+Emission+Tomography+%28PET%29+Images+via+Multi-channel+Generative+Adversarial+Networks&btnG=) (GANs) [[arXiv]](https://arxiv.org/abs/1707.09747)

- [Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Freehand+Ultrasound+Image+Simulation+with+Spatially-Conditioned+Generative+Adversarial+Networks&btnG=) [[arXiv]](https://arxiv.org/abs/1707.05392)

- [Synthetic Medical Images from Dual Generative Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Synthetic+Medical+Images+from+Dual+Generative+Adversarial+Networks&btnG=) [[arXiv]](https://arxiv.org/abs/1709.01872)

- [Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Virtual+PET+Images+from+CT+Data+Using+Deep+Convolutional+Networks&btnG=) [[arXiv]](https://arxiv.org/abs/1707.09585)

- [Towards Adversarial Retinal Image Synthesis] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Towards+Adversarial+Retinal+Image+Synthesis&btnG=) [[arXiv]](https://arxiv.org/abs/1701.08974)

- [End-to-end Adversarial Retinal Image Synthesis] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=End-to-end+Adversarial+Retinal+Image+Synthesis&btnG=) [[TMI]](http://ieeexplore.ieee.org/abstract/document/8055572/) (published vision of the above preprint)

- [Adversarial Image Synthesis for Unpaired Multi-Modal Cardiac Data] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Adversarial+Image+Synthesis+for+Unpaired+Multi-Modal+Cardiac+Data&btnG=) [[SASHIMI 2017]](https://link.springer.com/chapter/10.1007/978-3-319-68127-6_1)

- [Biomedical Data Augmentation Using Generative Adversarial Neural Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Biomedical+Data+Augmentation+Using+Generative+Adversarial+Neural+Networks&btnG=) [[ICANN 2017]](https://link.springer.com/chapter/10.1007/978-3-319-68612-7_71)

- [Towards Virtual H&E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Towards+Virtual+H%26E+Staining+of+Hyperspectral+Lung+Histology+Images+Using+Conditional+Generative+Adversarial+Networks&btnG=) [[ICCV2017 workshop]](http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w1/Bayramoglu_Towards_Virtual_HE_ICCV_2017_paper.pdf)

- [How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=How+to+Fool+Radiologists+with+Generative+Adversarial+Networks%3F+A+Visual+Turing+Test+for+Lung+Cancer+Diagnosis&btnG=) [[arXiv]](https://arxiv.org/abs/1710.09762)

- [Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Unsupervised+Reverse+Domain+Adaptation+for+Synthetic+Medical+Images+via+Adversarial+Training&btnG=) [[arXiv]](https://arxiv.org/abs/1711.06606)

- [Unsupervised Histopathology Image Synthesis] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Unsupervised+Histopathology+Image+Synthesis&btnG=) [[arXiv]](https://arxiv.org/abs/1712.05021)

- [Image Synthesis in Multi-Contrast MRI with Conditional Generative Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Image+Synthesis+in+Multi-Contrast+MRI+with+Conditional+Generative+Adversarial+Networks&btnG=) [[arXiv]](https://arxiv.org/abs/1802.01221)

- [Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Translating+and+Segmenting+Multimodal+Medical+Volumes+with+Cycle-+and+Shape-Consistency+Generative+Adversarial+Network&btnG=) [[arXiv]](https://arxiv.org/abs/1802.09655)

- [Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Towards+cross-modal+organ+translation+and+segmentation%3A+A+cycle-+and+shape-consistent+generative+adversarial+network&btnG=) [[MedIA]](https://www.sciencedirect.com/science/article/abs/pii/S1361841518303426)

- [MRI Image-to-Image Translation for Cross-Modality Image Registration and Segmentation] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=MRI+Image-to-Image+Translation+for+Cross-Modality+Image+Registration+and+Segmentation&btnG=) [[arXiv]](https://arxiv.org/abs/1801.06940)

- [Cross-modality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Cross-modality+image+synthesis+from+unpaired+data+using+CycleGAN%3A+Effects+of+gradient+consistency+loss+and+training+data+size&btnG=) [[arXiv]](https://arxiv.org/abs/1803.06629)

- [Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Cross-Modality+Synthesis+from+CT+to+PET+using+FCN+and+GAN+Networks+for+Improved+Automated+Lesion+Detection&btnG=) [[arXiv]](https://arxiv.org/abs/1802.07846)

- [MelanoGANs: High Resolution Skin Lesion Synthesis with GANs] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=MelanoGANs%3A+High+Resolution+Skin+Lesion+Synthesis+with+GANs&btnG=) [[arXiv]](https://arxiv.org/abs/1804.04338)

- [Domain-adversarial neural networks to address the appearance variability of histopathology images] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Domain-adversarial+neural+networks+to+address+the+appearance+variability+of+histopathology+images&btnG=) [[arXiv]](https://arxiv.org/abs/1707.06183)

- [Neural Stain-Style Transfer Learning using GAN for Histopathological Images] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=https%3A%2F%2Farxiv.org%2Fabs%2F1710.08543&btnG=) [[arXiv]](https://arxiv.org/abs/1710.08543)

- [Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Generative+Adversarial+Training+for+MRA+Image+Synthesis+Using+Multi-Contrast+MRI&btnG=) [[arXiv]](https://arxiv.org/abs/1804.04366)

- [Histopathology Stain-Color Normalization Using Generative Neural Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Histopathology+Stain-Color+Normalization+Using+Generative+Neural+Networks&btnG=) [[MIDL2018]](https://openreview.net/pdf?id=SkjdxkhoG)

- [3D cGAN based cross-modality MR image synthesis for brain tumor segmentation] [[scholar]](https://scholar.google.ca/scholar?q=3D+CGAN+BASED+CROSS-MODALITY+MR+IMAGE+SYNTHESIS+FOR+BRAIN+TUMOR+SEGMENTATION&hl=en&as_sdt=0&as_vis=1&oi=scholart) [[ISBI2018]](https://ieeexplore.ieee.org/abstract/document/8363653/)

- [Deep CT to MR Synthesis using Paired and Unpaired Data] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Deep+CT+to+MR+Synthesis+using+Paired+and+Unpaired+Data&btnG=) [[arXiv]](https://arxiv.org/abs/1805.10790)

- [GAN-based synthetic brain MR image generation] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=GAN-based+synthetic+brain+MR+image+generation&btnG=) [[ISBI2018]](https://ieeexplore.ieee.org/abstract/document/8363678/)

- [StainGAN: Stain Style Transfer for Digital Histological Images] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=https%3A%2F%2Farxiv.org%2Fabs%2F1804.01601&btnG=) [[arXiv]](https://arxiv.org/abs/1804.01601)

- [Adversarial Stain Transfer for Histopathology Image Analysis] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Adversarial+Stain+Transfer+for+Histopathology+Image+Analysis&btnG=) [[TMI]](https://ieeexplore.ieee.org/document/8170242/)

- [Chest x-ray generation and data augmentation for cardiovascular abnormality classification] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Chest+x-ray+generation+and+data+augmentation+for+cardiovascular+abnormality+classification&btnG=) [[SPIE MI2018]](https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10574/105741M/Chest-x-ray-generation-and-data-augmentation-for-cardiovascular-abnormality/10.1117/12.2293971.short?SSO=1)

- [blood vessel geometry synthesis using generative adversarial networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=blood+vessel+geometry+synthesis+using+generative+adversarial+networks&btnG=) [[MIDL2018]](https://arxiv.org/abs/1804.04381)

- [Synergistic Reconstruction and Synthesis via Generative Adversarial Networks for Accelerated Multi-Contrast MRI] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Synergistic+Reconstruction+and+Synthesis+via+Generative+Adversarial+Networks+for+Accelerated+Multi-Contrast+MRI&btnG=) [[arXiv]](https://arxiv.org/abs/1805.10704)

- [Stain normalization of histopathology images using generative adversarial networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Stain+normalization+of+histopathology+images+using+generative+adversarial+networks&btnG=) [[ISBI2018]](https://ieeexplore.ieee.org/abstract/document/8363641/)

- [MedGAN: Medical Image Translation using GANs] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=MedGAN%3A+Medical+Image+Translation+using+GANs&btnG=) [[arXiv]](https://arxiv.org/abs/1806.06397)

- [Retinal Image Synthesis for CAD Development] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Retinal+Image+Synthesis+for+CAD+Development&btnG=) [[ICIAR]](https://link.springer.com/chapter/10.1007/978-3-319-93000-8_70)

- [High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=High-Resolution+Mammogram+Synthesis+using+Progressive+Generative+Adversarial+Networks&btnG=) [[arXiv]](https://arxiv.org/abs/1807.03401)

- [High-resolution medical image synthesis using progressively grown generative adversarial networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=High-resolution+medical+image+synthesis+using+progressively+grown+generative+adversarial+networks&btnG=) [[arXiv]](https://arxiv.org/abs/1805.03144)

- [Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Learning+Myelin+Content+in+Multiple+Sclerosis+from+Multimodal+MRI+through+Adversarial+Training&btnG=) [[MICCAI2018]](https://arxiv.org/abs/1804.08039)

- [Generation of structural MR images from amyloid PET: Application to MR-less quantification] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Generation+of+structural+MR+images+from+amyloid+PET%3A+Application+to+MR-less+quantification.&btnG=) [[JNM]](https://europepmc.org/abstract/med/29217736)

- [Task Driven Generative Modeling for Unsupervised Domain Adaptation Application to X-ray Image Segmentation] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Task+Driven+Generative+Modeling+for+Unsupervised+Domain+Adaptation+Application+to+X-ray+Image+Segmentation&btnG=) [[arXiv]](https://arxiv.org/abs/1806.07201)

- [Exploring the potential of generative adversarial networks for synthesizing radiological images of the spine to be used in in silico trials] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Exploring+the+potential+of+generative+adversarial+networks+for+synthesizing+radiological+images+of+the+spine+to+be+used+in+in+silico+trials&btnG=) [[FBB]](https://www.frontiersin.org/articles/10.3389/fbioe.2018.00053/full)

- [Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Semantic-Aware+Generative+Adversarial+Nets+for+Unsupervised+Domain+Adaptation+in+Chest+X-ray+Segmentation&btnG=) [[arXiv]](https://arxiv.org/abs/1806.00600)

- [Learning Data Augmentation for Brain Tumor Segmentation with Coarse-to-Fine Generative Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Learning+Data+Augmentation+for+Brain+Tumor+Segmentation+with+Coarse-to-Fine+Generative+Adversarial+Networks+&btnG=) [[arXiv]](https://arxiv.org/abs/1805.11291)

- [Learning implicit brain MRI manifolds with deep learning] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Learning+implicit+brain+MRI+manifolds+with+deep+learning&btnG=) [[SPIE MI2018]](https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10574/105741L/Learning-implicit-brain-MRI-manifolds-with-deep-learning/10.1117/12.2293515.short?SSO=1)

- [Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Optimized+generation+of+high-resolution+phantom+images+using+cGAN%3A+Application+to+quantification+of+Ki67+breast+cancer+images&btnG=) [[PloS one]](http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0196846)

- [Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images-A Comparison of CycleGAN and UNIT] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Generative+Adversarial+Networks+for+Image-to-Image+Translation+on+Multi-Contrast+MR+Images-A+Comparison+of+CycleGAN+and+UNIT&btnG=) [[arXiv]](https://arxiv.org/abs/1806.07777) [[code]](https://github.com/simontomaskarlsson/GAN-MRI)

- [Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&as_vis=1&q=Medical+Image+Synthesis+for+Data+Augmentation+and+Anonymization+using+Generative+Adversarial+Networks&btnG=) [[SASHIMI2018]](https://arxiv.org/abs/1807.10225)

- [Generating Diffusion MRI scalar maps from T1 weighted images using generative adversarial networks] [[scholar]](https://scholar.google.se/scholar?hl=sv&as_sdt=0%2C5&q=Generating+Diffusion+MRI+scalar+maps+from+T1+weighted+images+using+generative+adversarial+networks&btnG=) [[arXiv]](https://arxiv.org/abs/1810.02683)

- [Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Adversarial+Domain+Adaptation+for+Classification+of+Prostate+Histopathology+Whole-Slide+Images&btnG=) [[MICCAI2018]](https://arxiv.org/abs/1806.01357)

- [An Adversarial Learning Approach to Medical Image Synthesis for Lesion Removal] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=An+Adversarial+Learning+Approach+to+Medical+Image+Synthesis+for+Lesion+Removal&btnG=) [[arXiv]](https://arxiv.org/abs/1810.10850)

- [Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Craniomaxillofacial+Bony+Structures+Segmentation+from+MRI+with+Deep-Supervision+Adversarial+Learning&btnG=) [[MICCAI2018]](https://link.springer.com/chapter/10.1007/978-3-030-00937-3_82)

- [Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Efficient+Active+Learning+for+Image+Classification+and+Segmentation+Using+a+Sample+Selection+and+Conditional+Generative+Adversarial+Network&btnG=) [[MICCAI2018]](https://arxiv.org/abs/1806.05473)

- [GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=GAN+Augmentation+Augmenting+Training+Data+using+Generative+Adversarial+Networks&btnG=) [[arXiv]](https://arxiv.org/abs/1810.10863)

- [Generating Highly Realistic Images of Skin Lesions with GANs] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Generating+Highly+Realistic+Images+of+Skin+Lesions+with+GANs&btnG=) [[CARE2018]](https://link.springer.com/chapter/10.1007/978-3-030-01201-4_28)

- [Generative Adversarial Network for Medical Images (MI-GAN)] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Generative+Adversarial+Network+for+Medical+Images+%28MI-GAN%29&btnG=) [[JMS]](https://link.springer.com/article/10.1007/s10916-018-1072-9)

- [Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Retinal+Vessel+Segmentation+under+Extreme+Low+Annotation+A+Generative+Adversarial+Network+Approach&btnG=) [[arXiv]](https://arxiv.org/abs/1809.01348)

- [SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=SynSeg-Net+Synthetic+Segmentation+Without+Target+Modality+Ground+Truth&btnG=) [[TMI]](https://ieeexplore.ieee.org/abstract/document/8494797)

- [Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Synthesizing+Missing+PET+from+MRI+with+Cycle-consistent+Generative+Adversarial+Networks+for+Alzheimer’s+Disease+Diagnosis&btnG=) [[MICCAI2018]](https://link.springer.com/chapter/10.1007/978-3-030-00931-1_52)

- [Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Tumor-Aware%2C+Adversarial+Domain+Adaptation+from+CT+to+MRI+for+Lung+Cancer+Segmentation&btnG=) [[MICCAI2018]](https://link.springer.com/chapter/10.1007/978-3-030-00934-2_86)

- [Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Unpaired+Brain+MR-to-CT+Synthesis+using+a+Structure-Constrained+CycleGAN&btnG=) [[DLMIA2018]](https://link.springer.com/chapter/10.1007/978-3-030-00889-5_20)

- [Unsupervised learning for cross-domain medical image synthesis using deformation invariant cycle consistency networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Unsupervised+Learning+for+Cross-Domain+Medical+Image+Synthesis+Using+Deformation+Invariant+Cycle+Consistency+Networks&btnG=) [[SASHIMI2018]](https://link.springer.com/chapter/10.1007/978-3-030-00536-8_6)

- [ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C33&q=scargan&btnG=) [[DLMIA2018]](https://link.springer.com/chapter/10.1007/978-3-030-00889-5_39)

- [Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Dose+evaluation+of+fast+synthetic-CT+generation+using+a+generative+adversarial+network+for+general+pelvis+MR-only+radiotherapy&btnG=) [[PMB]](http://iopscience.iop.org/article/10.1088/1361-6560/aada6d/meta)

- [ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=ProstateGAN%3A+Mitigating+Data+Bias+via+Prostate+Diffusion+Imaging+Synthesis+with+Generative+Adversarial+Networks&btnG=) [[NeurIPS 2018 ML4H]](https://arxiv.org/abs/1811.05817) 

- [Red blood cell image generation for data augmentation using Conditional Generative Adversarial Networks] [[scholar]](https://scholar.google.com/scholar?q=Red%20blood%20cell%20image%20generation%20for%20data%20augmentation%20using%20Conditional%20Generative%20Adversarial%20Networks%20Bailo%202019) [[CVPR19 CVMI]](https://arxiv.org/abs/1901.06219)

- [SUSAN: segment unannotated image structure using adversarial network] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=SUSAN%3A+segment+unannotated+image+structure+using+adversarial+network&btnG=) [[MRM]](https://onlinelibrary.wiley.com/doi/abs/10.1002/mrm.27627)

- [CT synthesis from MR images for orthopedic applications in the lower arm using a conditional generative adversarial network] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=CT+synthesis+from+MR+images+for+orthopedic+applications+in+the+lower+arm+using+a+conditional+generative+adversarial+network&btnG=) [[arXiv]](https://arxiv.org/abs/1901.08449)

- [Learning Bone Suppression from Dual Energy Chest X-rays using Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Learning+Bone+Suppression+from+Dual+Energy+Chest+X-rays+using+Adversarial+Networks&btnG=) [[arXiv]](https://arxiv.org/abs/1811.02628)

- [Simulating Patho-realistic Ultrasound Images using Deep Generative Networks with Adversarial Learning] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Simulating+Patho-realistic+Ultrasound+Images+using+Deep+Generative+Networks+with+Adversarial+Learning&btnG=) [[ISBI2018]](https://ieeexplore.ieee.org/abstract/document/8363780)

- [Stain-transforming cycle-consistent generative adversarial networks for improved segmentation of renal histopathology] [[MIDL2019]](https://openreview.net/forum?id=BkxJkgSlx4)

- [Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization] [[MIDL2019]](https://openreview.net/forum?id=H1gMYCQxg4)

- [Image Synthesis with a Convolutional Capsule Generative Adversarial Network] [[MIDL2019]](https://openreview.net/forum?id=rJen0zC1lE)

- [CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=CT-realistic+data+augmentation+using+generative+adversarial+network+for+robust+lymph+node+segmentation&btnG=) [[SPIE MI2019]](https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10950/109503V/CT-realistic-data-augmentation-using-generative-adversarial-network-for-robust/10.1117/12.2512004.short)

- [Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations] [[MIDL2019]](https://openreview.net/forum?id=B1gT9_B81E)

- [DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation] [[MIDL2019]](https://openreview.net/forum?id=rJxMvRFxeN)

- [XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation] [[MIDL2019]](https://openreview.net/forum?id=B1lpb10Ry4)

- [Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Unsupervised+Cross-Modality+Domain+Adaptation+of+ConvNets+for+Biomedical+Image+Segmentations+with+Adversarial+Loss&btnG=) [[arXiv]](https://arxiv.org/abs/1804.10916)

- [CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=CT-Realistic+Lung+Nodule+Simulation+from+3D+Conditional+Generative+Adversarial+Networks+for+Robust+Lung+Segmentation&btnG=) [[MICCAI2018]](https://arxiv.org/abs/1806.04051)

- [Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Mask2Lesion%3A+Mask-Constrained+Adversarial+Skin+Lesion+Image+Synthesis&btnG=) [[MICCAI SASHIMI 2019]](https://link.springer.com/chapter/10.1007/978-3-030-32778-1_8) [[arXiv]](https://arxiv.org/abs/1906.05845)

- [A modality conversion approach to MV-DRs and kV-DRRs registration using information bottlenecked conditional generative adversarial network] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=A+modality+conversion+approach+to+MV-DRs+and+kV-DRRs+registration+using+information+bottlenecked+conditional+generative+adversarial+network&btnG=) [[MP]](https://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.13770)

- [Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Leveraging+Regular+Fundus+Images+for+Training+UWF+Fundus+Diagnosis+Models+via+Adversarial+Learning+and+Pseudo-Labeling&btnG=) [[TMI 2021]](https://ieeexplore.ieee.org/abstract/document/9344823/) [[arXiv]](https://arxiv.org/pdf/2011.13816)

- [Synthesis of brain tumor multicontrast MR images for improved data augmentation] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Synthesis+of+brain+tumor+multicontrast+MR+images+for+improved+data+augmentation&btnG=) [[MP]](https://doi.org/10.1002/mp.14701) [[code]](https://github.com/KSH0660/BrainTumor)

- [mustGAN: Multi-Stream Generative Adversarial Networks for MR Image Synthesis] [[scholar]](https://scholar.google.com/scholar?hl=zh-CN&as_sdt=0%2C5&q=mustGAN%3A+Multi-Stream+Generative+Adversarial+Networks+for+MR+Image+Synthesis&btnG=) [[MedIA2021]](https://www.sciencedirect.com/science/article/abs/pii/S136184152030308X)

- [Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis] [[scholar]](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C39&q=Hierarchical+Amortized+GAN+for+3D+High+Resolution+Medical+Image+Synthesis&btnG=) [[JBHI]](https://ieeexplore.ieee.org/abstract/document/9770375) [[code]](https://github.com/batmanlab/HA-GAN)



# Reconstruction

- [Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Compressed+Sensing+MRI+Reconstruction+with+Cyclic+Loss+in+Generative+Adversarial+Networks&btnG=) [[arXiv]](https://arxiv.org/abs/1709.00753)

- [Compressed Sensing MRI Reconstruction using a Generative Adversarial Network with a Cyclic Loss] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Compressed+Sensing+MRI+Reconstruction+using+a+Generative+Adversarial+Network+with+a+Cyclic+Loss&btnG=) [[TMI]](https://ieeexplore-ieee-org.cyber.usask.ca/abstract/document/8327637/) (published version of the above preprint)

- [Deep Generative Adversarial Networks for Compressed Sensing (GANCS) Automates MRI] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0,5&q=Deep+Generative+Adversarial+Networks+for+Compressed+Sensing+(GANS)+Automated+MRI) [[arXiv]](https://arxiv.org/abs/1706.00051) [[code]](https://github.com/gongenhao/GANCS)

- [Accelerated Magnetic Resonance Imaging by Adversarial Neural Network] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Accelerated+Magnetic+Resonance+Imaging+by+Adversarial+Neural+Network&btnG=) [[DLMIA MICCAI 2017]](https://link.springer.com/chapter/10.1007/978-3-319-67558-9_4)

- [Deep De-Aliasing for Fast Compressive Sensing MR] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Deep+De-Aliasing+for+Fast+Compressive+Sensing+MR&btnG=) [[arXiv]](https://arxiv.org/abs/1705.07137)

- [3D conditional generative adversarial networks for high-quality PET image estimation at low dose] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=3D+conditional+generative+adversarial+networks+for+high-quality+PET+image+estimation+at+low+dose&btnG=) [[NI]](https://www.sciencedirect.com/science/article/pii/S1053811918302507?via%3Dihub)

- [Improving resolution of MR images with an adversarial network incorporating images with different contrast] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Improving+resolution+of+MR+images+with+an+adversarial+network+incorporating+images+with+different+contrast&btnG=) [[MP]](https://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.12945)

- [CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=CT+Super-resolution+GAN+Constrained+by+the+Identical%2C+Residual%2C+and+Cycle+Learning+Ensemble+%28GAN-CIRCLE%29&btnG=) [[arXiv]](https://arxiv.org/abs/1808.04256)

- [Denoising of 3-D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Denoising+of+3-D+Magnetic+Resonance+Images+Using+a+Residual+Encoder-Decoder+Wasserstein+Generative+Adversarial+Network&btnG=) [[arXiv]](https://arxiv.org/abs/1808.03941)

- [Sparse-View CT Reconstruction Using Wasserstein GANs] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&as_vis=1&q=Sparse-View+CT+Reconstruction+Using+Wasserstein+GANs&btnG=) [[MLMIR 2018]](https://link.springer.com/chapter/10.1007/978-3-030-00129-2_9)

- [DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Dagan%3A+Deep+de-aliasing+generative+adversarial+networks+for+fast+compressed+sensing+mri+reconstruction&btnG=) [[TMI]](https://ieeexplore.ieee.org/document/8233175/) [[code]](https://github.com/nebulaV/DAGAN)

- [Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Adversarial+and+Perceptual+Refinement+for+Compressed+Sensing+MRI+Reconstruction&btnG=) [[MICCAI2018]](https://link.springer.com/chapter/10.1007/978-3-030-00928-1_27)

- [Refacing: reconstructing anonymized facial features using GANs]   [[scholar]](https://scholar.google.se/scholar?hl=sv&as_sdt=0%2C5&q=refacing%3A+reconstructing+anonymized+facial+features+using+gans&btnG=)  [[arXiv]](https://arxiv.org/abs/1810.06455)

- [Adversarial Inpainting of Medical Image Modalities] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=ADVERSARIAL+INPAINTING+OF+MEDICAL+IMAGE+MODALITIES&btnG=) [[arXiv]](https://arxiv.org/abs/1810.06621)

- [Adversarial Sparse-View CBCT Artifact Reduction] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Adversarial+Sparse-View+CBCT+Artifact+Reduction&btnG=) [[MICCAI2018]](https://link.springer.com/chapter/10.1007/978-3-030-00928-1_18)

- [Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Cardiac+MR+Motion+Artefact+Correction+from+K-space+Using+Deep+Learning-Based+Reconstruction&btnG=) [[MLMIR 2018]](https://link.springer.com/chapter/10.1007/978-3-030-00129-2_3)

- [Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Conditional+Generative+Adversarial+Networks+for+Metal+Artifact+Reduction+in+CT+Images+of+the+Ear&btnG=) [[MICCAI2018]](https://link.springer.com/chapter/10.1007/978-3-030-00928-1_1)

- [Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Efficient+and+Accurate+MRI+Super-Resolution+Using+a+Generative+Adversarial+Network+and+3D+Multi-level+Densely+Connected+Network&btnG=) [[MICCAI2018]](https://link.springer.com/chapter/10.1007/978-3-030-00928-1_11)

- [Multi-channel Generative Adversarial Network for Parallel Magnetic Resonance Image Reconstruction in K-space] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Multi-channel+Generative+Adversarial+Network+for+Parallel+Magnetic+Resonance+Image+Reconstruction+in+K-space&btnG=) [[MICCAI2018]](https://link.springer.com/chapter/10.1007/978-3-030-00928-1_21)

- [Retrospective correction of Rigid and Non-Rigid MR motion artifacts using GANs] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Retrospective+correction+of+Rigid+and+Non-Rigid+MR+motion+artifacts+using+GANs&btnG=) [[arXiv]](https://arxiv.org/abs/1809.06276)

- [Brain MRI super-resolution using 3D generative adversarial networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Brain+MRI+super-resolution+using+3D+generative+adversarial+networks&btnG=) [[MIDL2018]](https://openreview.net/pdf?id=rJevSbniM)

- [Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Retinal+Vasculature+Segmentation+Using+Local+Saliency+Maps+and+Generative+Adversarial+Networks+For+Image+Super+Resolution&btnG=) [[arXiv]](https://arxiv.org/abs/1710.04783)

- [Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Adversarial+training+with+cycle+consistency+for+unsupervised+super-resolution+in+endomicroscopy&btnG=) [[MIDL2018]](https://openreview.net/forum?id=BktMD6isM)

- [How Can We Make GAN Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=How+Can+We+Make+GAN+Perform+Better+in+Single+Medical+Image+Super-Resolution%3F+A+Lesion+Focused+Multi-Scale+Approach&btnG=) [[arXiv]](https://arxiv.org/abs/1901.03419)

- [X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=X2CT-GAN+Reconstructing+CT+from+Biplanar+X-Rays+with+Generative+Adversarial+Networks&btnG=) [[CVPR2019]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Ying_X2CT-GAN_Reconstructing_CT_From_Biplanar_X-Rays_With_Generative_Adversarial_Networks_CVPR_2019_paper.pdf)



# Classification

- [Semi-supervised Assessment of Incomplete LV Coverage in Cardiac MRI Using Generative Adversarial Nets] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Semi-supervised+Assessment+of+Incomplete+LV+Coverage+in+Cardiac+MRI+Using+Generative+Adversarial+Nets&btnG=) [[SASHIMI 2017]](https://link.springer.com/chapter/10.1007/978-3-319-68127-6_7)

- [Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Generalization+of+Deep+Neural+Networks+for+Chest+Pathology+Classification+in+X-Rays+Using+Generative+Adversarial+Networks&btnG=) [[arXiv]](https://arxiv.org/abs/1712.01636)

- [Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Unsupervised+Learning+for+Cell-level+Visual+Representation+in+Histopathology+Images+with+Generative+Adversarial+Networks&btnG=) [[arXiv]](https://arxiv.org/abs/1711.11317) [[code]](https://github.com/hbkunn/nu_gan)

- [Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Synthetic+Data+Augmentation+using+GAN+for+Improved+Liver+Lesion+Classification&btnG=) [[arXiv]](https://arxiv.org/abs/1801.02385)

- [GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=GAN-based+Synthetic+Medical+Image+Augmentation+for+increased+CNN+Performance+in+Liver+Lesion+Classification&btnG=) [[arXiv]](https://arxiv.org/abs/1803.01229)(extended version of above preprint)

- [Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Unsupervised+and+semi-supervised+learning+with+Categorical+Generative+Adversarial+Networks+assisted+by+Wasserstein+distance+for+dermoscopy+image+Classification&btnG=) [[arXiv]](https://arxiv.org/abs/1804.03700)

- [Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=SEMI-SUPERVISED+LEARNING+WITH+GENERATIVE+ADVERSARIAL+NETWORKS+FOR+CHEST+X-RAY+CLASSIFICATION+WITH+ABILITY+OF+DATA+DOMAIN+ADAPTATION&btnG=) [[ISBI2018]](https://ieeexplore.ieee.org/abstract/document/8363749/)

- [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] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Generative+adversarial+learning+for+reducing+manual+annotation+in+semantic+segmentation+on+large+scale+miscroscopy+images%3A+Automated+vessel+segmentation+in+retinal+fundus+image+as+test+case&btnG=) [[CVPRW2017]](http://openaccess.thecvf.com/content_cvpr_2017_workshops/w8/papers/Lahiri_Generative_Adversarial_Learning_CVPR_2017_paper.pdf)

- [Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Semi-Supervised+Deep+Learning+for+Abnormality+Classification+in+Retinal+Images&btnG=) [[NeurIPS 2018 ML4H]](https://arxiv.org/abs/1812.07832)

- [Deep echocardiography: data-efficient supervised and semi-supervised deep learning towards automated diagnosis of cardiac disease] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Article+%7C+OPEN+%7C+Published%3A+18+October+2018++Deep+echocardiography%3A+data-efficient+supervised+and+semi-supervised+deep+learning+towards+automated+diagnosis+of+cardiac+disease&btnG=) [[NDM]](https://www.nature.com/articles/s41746-018-0065-x)

- [General-to-Detailed GAN for Infrequent Class Medical Images] [[scholar]](General-to-Detailed GAN for Infrequent Class Medical Images) [[NeurIPS 2018 ML4H]](https://arxiv.org/abs/1812.01690)

- [Towards generative adversarial networks as a new paradigm for radiology education] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Towards+generative+adversarial+networks+as+a+new+paradigm+for+radiology+education&btnG=) [[NeurIPS 2018 ML4H]](https://arxiv.org/abs/1812.01547)

- [Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Abnormal+Chest+X-ray+Identification+With+Generative+Adversarial+One-Class+Classifier&btnG=) [[ISBI2019]](https://arxiv.org/abs/1903.02040)



# Registration

- [Adversarial Image Registration with Application for MR and TRUS Image Fusion] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Adversarial+Image+Registration+with+Application+for+MR+and+TRUS+Image+Fusion&btnG=) [[arXiv]](https://arxiv.org/abs/1804.11024)

- [Deformable medical image registration using generative adversarial networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Deformable+medical+image+registration+using+generative+adversarial+networks&btnG=) [[ISBI2018]](https://ieeexplore.ieee.org/document/8363845/)

- [Generative Adversarial Networks for MR-CT Deformable Image Registration] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Generative+Adversarial+Networks+for+MR-CT+Deformable+Image+Registration&btnG=) [[arXiv]](https://arxiv.org/abs/1807.07349)

- [Adversarial Deformation Regularization for Training Image Registration Neural Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Adversarial+Deformation+Regularization+for+Training+Image+Registration+Neural+Networks&btnG=) [[MICCAI2018]](https://arxiv.org/abs/1805.10665)

- [Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Adversarial+Similarity+Network+for+Evaluating+Image+Alignment+in+Deep+Learning+Based+Registration&btnG=) [[MICCAI2018]](https://link.springer.com/chapter/10.1007/978-3-030-00928-1_83)

- [Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Joint+Registration+And+Segmentation+Of+Xray+Images+Using+Generative+Adversarial+Networks&btnG=) [[MLMI2018]](https://link.springer.com/chapter/10.1007/978-3-030-00919-9_9)



# Others

- [Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Intraoperative+Organ+Motion+Models+with+an+Ensemble+of+Conditional+Generative+Adversarial+Networks&btnG=) [[arXiv]](https://arxiv.org/abs/1709.02255)

- [Generative Spatiotemporal Modeling Of Neutrophil Behavior] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Generative+Spatiotemporal+Modeling+Of+Neutrophil+Behavior&btnG=) [[ISBI2018]](https://arxiv.org/abs/1804.00393)

- [Exploiting the potential of unlabeled endoscopic video data with self-supervised learning] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Exploiting+the+potential+of+unlabeled+endoscopic+video+data+with+self-supervised+learning&btnG=) [[IJCARS]](https://link.springer.com/content/pdf/10.1007/s11548-018-1772-0.pdf)

- [Adversarial Attacks Against Medical Deep Learning Systems] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Adversarial+Attacks+Against+Medical+Deep+Learning+Systems&btnG=) [[arXiv]](https://arxiv.org/abs/1804.05296)

- [Distribution Matching Losses Can Hallucinate Features in Medical Image Translation] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Distribution+Matching+Losses+Can+Hallucinate+Features+in+Medical+Image+Translation&btnG=) [[MICCAI2018]](https://arxiv.org/abs/1805.08841)

- [Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=eneralizability+vs.+Robustness+Investigating+Medical+Imaging+Networks+Using+Adversarial+Examples&btnG=) [[MICCAI2018]](https://link.springer.com/chapter/10.1007/978-3-030-00928-1_56)

- [CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=CT-GAN%3A+Malicious+Tampering+of+3D+Medical+Imagery+using+Deep+Learning&btnG=) [[arXiv]](https://arxiv.org/abs/1901.03597)

- [Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&as_vis=1&q=Automated+treatment+planning+in+radiation+therapy+using+generative+adversarial+networks&btnG=) [[NeurIPS 2018 ML4H]](https://arxiv.org/abs/1807.06489)

- [Modelling the Progression of Alzheimer’s Disease in MRI Using Generative Adversarial Networks] [[scholar]](https://scholar.google.ca/scholar?hl=en&as_sdt=0%2C5&q=Modelling+the+Progression+of+Alzheimer’s+Disease+in+MRI+Using+Generative+Adversarial+Networks&btnG=) [[SPIE MI2018]](https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10574/105741K/Modelling-the-progression-of-Alzheimers-disease-in-MRI-using-generative/10.1117/12.2293256.short?SSO=1)