@book{Lamport:Book:1989,
 author = {Lamport, Leslie},
 title = {Latex: A Document Preparation System},
 year = {1986},
 isbn = {0-201-15790-X},
 publisher = {Addison-Wesley Longman Publishing Co., Inc.},
 address = {Boston, MA, USA},
}

@INPROCEEDINGS {park2019SPADE,
author = {Park, Taesung and Liu, Ming-Yu and Wang, Ting-Chun and Zhu, Jun-Yan},
booktitle = {2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
title = {Semantic Image Synthesis With Spatially-Adaptive Normalization},
year = {2019},
volume = {},
issn = {},
pages = {2332-2341},
keywords = {},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
month = {jun},
}
% url = {https://doi.ieeecomputersociety.org/10.1109/CVPR.2019.00244},
%doi = {10.1109/CVPR.2019.00244},

@INPROCEEDINGS{wang2018pix2pixHD,
author={Ting-Chun Wang and Ming-Yu Liu and Jun-Yan Zhu and Andrew Tao and Jan Kautz and Bryan Catanzaro},
booktitle={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
title={High-Resolution Image Synthesis and Semantic Manipulation with Conditional {GANs}},
year={2018},
volume={},
number={},
pages={8798-8807},
ISSN={1063-6919},
month={June},
}
%doi={10.1109/CVPR.2018.00917},

@INPROCEEDINGS{StyleGAN2018,
author={T. {Karras} and S. {Laine} and T. {Aila}},
booktitle={2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
title={A Style-Based Generator Architecture for Generative Adversarial Networks},
year={2019},
volume={},
number={},
pages={4396-4405},
keywords={Deep Learning;Image and Video Synthesis; Representation Learning},
ISSN={1063-6919},
month={June},
}
%doi={10.1109/CVPR.2019.00453},

@InProceedings{huang2018munit,
author="Huang, Xun
and Liu, Ming-Yu
and Belongie, Serge
and Kautz, Jan",
editor="Ferrari, Vittorio
and others ",
title="Multimodal Unsupervised Image-to-Image Translation",
booktitle="Computer Vision -- ECCV 2018",
year="2018",
publisher="Springer International Publishing",
address="Cham",
pages="179--196",
isbn="978-3-030-01219-9"
}


@article{DRIT_plus,
  author = {Lee, Hsin-Ying and Tseng, Hung-Yu and Mao, Qi and Huang, Jia-Bin and others},
  title = {{DRIT++}: Diverse Image-to-Image Translation viaDisentangled Representations},
  journal = {arXiv preprint arXiv:1905.01270},
  year = {2019}
}
% Lu, Yu-Ding and Singh, Maneesh Kumar and Yang, Ming-Hsuan

@InProceedings{factorized_ETH,
author="Joyce, Thomas
and Kozerke, Sebastian",
editor="Burgos, Ninon
and others",
title="{3D} Medical Image Synthesis by Factorised Representation and Deformable Model Learning",
booktitle="Simulation and Synthesis in Medical Imaging",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="110--119",
isbn="978-3-030-32778-1"
}

@ARTICLE{2019Chen_Munit_Style,
       author = {{Chen}, Chen and {Ouyang}, Cheng and {Tarroni}, Giacomo and
         {Schlemper}, Jo and {Qiu}, Huaqi and {Bai}, Wenjia and
         {Rueckert}, Daniel},
        title = "Unsupervised Multi-modal Style Transfer for Cardiac {MR} Segmentation",
      journal = {arXiv e-prints},
     keywords = {Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning},
         year = "2019",
        month = "Aug",
          eid = {arXiv:1908.07344},
        pages = {arXiv:1908.07344},
archivePrefix = {arXiv},
       eprint = {1908.07344},
 primaryClass = {eess.IV},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
      %   adsurl = {https://ui.adsabs.harvard.edu/abs/2019arXiv190807344C},
      
@InProceedings{StyleCardiacSeg_MICCAI19,
author="Ma, Chunwei
and Ji, Zhanghexuan
and Gao, Mingchen",
editor="Shen, Dinggang
and others ",
title="Neural Style Transfer Improves {3D} Cardiovascular {MR} Image Segmentation on Inconsistent Data",
booktitle="Medical Image Computing and Computer Assisted Intervention -- MICCAI 2019",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="128--136",
isbn="978-3-030-32245-8"
}

@article{CHARTSIAS2019_disentangled,
title = "Disentangled representation learning in cardiac image analysis",
journal = "Medical Image Analysis",
volume = "58",
pages = "101535",
year = "2019",
issn = "1361-8415",
author = "Agisilaos Chartsias and Thomas Joyce and Giorgos Papanastasiou and Scott Semple and Michelle Williams and David E. Newby and Rohan Dharmakumar and Sotirios A. Tsaftaris",
keywords = "Disentangled representation learning, Cardiac magnetic resonance imaging, Semi-supervised segmentation, Multitask learning",
month={Nov}
}
% doi = "https://doi.org/10.1016/j.media.2019.101535",
% url = "http://www.sciencedirect.com/science/article/pii/S1361841519300684",

@InProceedings{Agisilaos2018_factorized,
author="Chartsias, Agisilaos
and Joyce, Thomas
and Papanastasiou, Giorgos
and Semple, Scott
and others",
editor="Frangi, Alejandro F.
and others ",
title="Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation",
booktitle="Medical Image Computing and Computer Assisted Intervention -- MICCAI 2018",
year="2018",
publisher="Springer International Publishing",
address="Cham",
pages="490--498"
}
% and Williams, Michelle
% and Newby, David
% and Dharmakumar, Rohan
% and Tsaftaris, Sotirios A.

@article{tobon2011realistic,
  title={Realistic simulation of cardiac magnetic resonance studies modeling anatomical variability, trabeculae, and papillary muscles},
  author={Tobon-Gomez, C and Sukno, FM and Bijnens, BH and Huguet, M and Frangi, AF},
  journal={Magnetic resonance in medicine},
  volume={65},
  number={1},
  pages={280--288},
  year={2011},
  publisher={Wiley Online Library}
}
@article{wissmann2014mrxcat,
  title={{MRXCAT}: Realistic numerical phantoms for cardiovascular magnetic resonance},
  author={Wissmann, Lukas and Santelli, Claudio and Segars, William P and Kozerke, Sebastian},
  journal={Journal of Cardiovascular Magnetic Resonance},
  volume={16},
  number={1},
  pages={63},
  year={2014},
  publisher={BioMed Central}
}

@article{kwan1999mri,
  title={{MRI} simulation-based evaluation of image-processing and classification methods},
  author={Kwan, RK-S and Evans, Alan C and Pike, G Bruce},
  journal={IEEE transactions on medical imaging},
  volume={18},
  number={11},
  pages={1085--1097},
  year={1999},
  publisher={IEEE}
}

@article{prakosa2012generation,
  title={Generation of synthetic but visually realistic time series of cardiac images combining a biophysical model and clinical images},
  author={Prakosa, Adityo and Sermesant, Maxime and Delingette, Herv{\'e} and Marchesseau, St{\'e}phanie and others},
  journal={IEEE transactions on medical imaging},
  volume={32},
  number={1},
  pages={99--109},
  year={2012},
  publisher={IEEE}
}
% Saloux, Eric and Allain, Pascal and Villain, Nicolas and Ayache, Nicholas

@article{duchateau2017model,
  title={Model-based generation of large databases of cardiac images: synthesis of pathological cine {MR} sequences from real healthy cases},
  author={Duchateau, Nicolas and Sermesant, Maxime and Delingette, Herv{\'e} and Ayache, Nicholas},
  journal={IEEE transactions on medical imaging},
  volume={37},
  number={3},
  pages={755--766},
  year={2017},
  publisher={IEEE}
}

@incollection{GANs_Goodfellow2014,
title = {Generative Adversarial Nets},
author = {Goodfellow, Ian and Pouget-Abadie, Jean and Mirza, Mehdi and Xu, Bing and others},
booktitle = {Advances in Neural Information Processing Systems 27},
editor = {Z. Ghahramani and M. Welling and C. Cortes and N. D. Lawrence and K. Q. Weinberger},
pages = {2672--2680},
year = {2014},
publisher = {Curran Associates, Inc.},
}
% url = {http://papers.nips.cc/paper/5423-generative-adversarial-nets.pdf}
% and Warde-Farley, David and Ozair, Sherjil and Courville, Aaron and Bengio, Yoshua


@incollection{bigbigan,
title = {Large Scale Adversarial Representation Learning},
author = {Donahue, Jeff and Simonyan, Karen},
booktitle = {Advances in Neural Information Processing Systems 32},
editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textsc{\char13}Alch\'{e}-Buc and E. Fox and R. Garnett},
pages = {10541--10551},
year = {2019},
publisher = {Curran Associates, Inc.},
}
% url = {http://papers.nips.cc/paper/9240-large-scale-adversarial-representation-learning.pdf}


@inproceedings{ProGAN,
title={Progressive Growing of {GAN}s for Improved Quality, Stability, and Variation},
author={Tero Karras and Timo Aila and Samuli Laine and Jaakko Lehtinen},
booktitle={International Conference on Learning Representations},
year={2018},
url={https://openreview.net/forum?id=Hk99zCeAb},
}

@article{ACE2019,
  author    = {Zuxuan Wu and
               Xin Wang and
               Joseph E. Gonzalez and
               Tom Goldstein and
               Larry S. Davis},
  title     = {{ACE:} Adapting to Changing Environments for Semantic Segmentation},
  journal   = {CoRR},
  volume    = {abs/1904.06268},
  year      = {2019},
  archivePrefix = {arXiv},
  eprint    = {1904.06268},
  timestamp = {Thu, 25 Apr 2019 13:55:01 +0200},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
%   biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1904-06268},
%   url       = {http://arxiv.org/abs/1904.06268},

@inproceedings{DISE_CVPR,
 title={All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation},
 author={Chang, Wei-Lun and Wang, Hui-Po and Peng, Wen-Hsiao and Chiu, Wei-Chen},
 booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year={2019}
}

@article{ReviewGAN,
title = "Generative adversarial network in medical imaging: A review",
journal = "Medical Image Analysis",
volume = "58",
pages = "101552",
year = "2019",
issn = "1361-8415",
author = "Xin Yi and Ekta Walia and Paul Babyn",
keywords = "Deep learning, Generative adversarial network, Generative model, Medical imaging, Review"
}
% doi = "https://doi.org/10.1016/j.media.2019.101552",
% url = "http://www.sciencedirect.com/science/article/pii/S1361841518308430",

@article{PixelCNN++,
  author    = {Tim Salimans and
               Andrej Karpathy and
               Xi Chen and
               Diederik P. Kingma},
  title     = {{PixelCNN++}: Improving the {PixelCNN} with Discretized Logistic Mixture
               Likelihood and Other Modifications},
  journal   = {CoRR},
  volume    = {abs/1701.05517},
  year      = {2017},
  archivePrefix = {arXiv},
  eprint    = {1701.05517},
  timestamp = {Sun, 16 Sep 2018 14:17:04 +0200},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
%   url       = {http://arxiv.org/abs/1701.05517},
%   biburl    = {https://dblp.org/rec/bib/journals/corr/SalimansKCK17},

@inproceedings{PixelRNN,
 author = {Van Den Oord, A\"{a}ron and Kalchbrenner, Nal and Kavukcuoglu, Koray},
 title = {Pixel Recurrent Neural Networks},
 booktitle = {Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48},
 series = {ICML'16},
 year = {2016},
 location = {New York, NY, USA},
 pages = {1747--1756},
 numpages = {10},
 acmid = {3045575},
 publisher = {JMLR.org},
} 
%  url = {http://dl.acm.org/citation.cfm?id=3045390.3045575},


@ARTICLE{VAEsWelling,
       author = {{Kingma}, Diederik P and {Welling}, Max},
        title = "Auto-Encoding Variational Bayes",
      journal = {arXiv e-prints},
     keywords = {Statistics - Machine Learning, Computer Science - Machine Learning},
         year = "2013",
        month = "Dec",
          eid = {arXiv:1312.6114},
        pages = {arXiv:1312.6114},
archivePrefix = {arXiv},
       eprint = {1312.6114},
 primaryClass = {stat.ML},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
    %   adsurl = {https://ui.adsabs.harvard.edu/abs/2013arXiv1312.6114K},

@book{MarkovChain,
  title={Information Processing in Dynamical Systems: Foundations of Harmony Theory},
  author={Smolensky, Paul},
  series={Computer Science Technical Reports, 315},
  year={1986},
  publisher={Department of Computer Science, University of Colorado, Boulder}
}
%   url={https://scholar.colorado.edu/csci_techreports/315},

@inproceedings{CycleGAN2017,
  title={Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks},
  author={Zhu, Jun-Yan and Park, Taesung and Isola, Phillip and Efros, Alexei A},
  booktitle={Computer Vision (ICCV), 2017 IEEE International Conference on},
  year={2017}
}

@INPROCEEDINGS{Sem_GAN,
author={Anoop Cherian and
               Alan Sullivan},
booktitle={2019 IEEE Winter Conference on Applications of Computer Vision (WACV)},
title={{Sem-GAN}: {S}emantically-Consistent Image-to-Image Translation},
year={2019},
volume={},
number={},
pages={1797-1806},
keywords={image segmentation;language translation;semantically-consistent image-to-image translation;unpaired image-to-image translation;source domain;target domain;corresponding image pairs;translated images;Cycle-GAN;image segmentation task;semantic correctness;semantically-consistent GAN framework;dubbed Sem-GAN;image segments;semantic segmentation algorithm;consistency constraints;translation task;GAN loss;image-to-image translation tasks;semantic segmentation models;synthetic images;Gallium nitride;Semantics;Image segmentation;Generative adversarial networks;Task analysis;Generators;Adaptation models},
doi={10.1109/WACV.2019.00196},
ISSN={1550-5790},
month={Jan},}

@article{SemGAN,
  author    = {Pravakar Roy and
               Nicolai H{\"{a}}ni and
               Volkan Isler},
  title     = {Semantics-Aware Image to Image Translation and Domain Transfer},
  journal   = {CoRR},
  volume    = {abs/1904.02203},
  year      = {2019},
  archivePrefix = {arXiv},
  eprint    = {1904.02203},
  timestamp = {Wed, 24 Apr 2019 12:21:25 +0200},
}
%   biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1904-02203},
%   bibsource = {dblp computer science bibliography, https://dblp.org}
%   url       = {http://arxiv.org/abs/1904.02203},

@article{frangi2018simulation,
  title={Simulation and synthesis in medical imaging},
  author={Frangi, Alejandro F and Tsaftaris, Sotirios A and Prince, Jerry L},
  journal={IEEE transactions on medical imaging},
  volume={37},
  number={3},
  pages={673},
  year={2018},
  publisher={NIH Public Access}
}
@article{segars20104d,
  title={{4D XCAT} phantom for multimodality imaging research},
  author={Segars, William and Sturgeon, G and Mendonca, S and Grimes, Jason and Tsui, Benjamin},
  journal={Medical physics},
  volume={37},
  number={9},
  pages={4902--4915},
  year={2010},
  publisher={Wiley Online Library}
}

@article{segars2013population,
  title={Population of anatomically variable {4D XCAT} adult phantoms for imaging research and optimization},
  author={Segars, William and Bond, Jason and Frush, Jack and Hon, Sylvia  and others},
  journal={Medical physics},
  volume={40},
  number={4},
  pages={043701},
  year={2013},
  publisher={Wiley Online Library}
}
% Eckersley, Chris and Williams, Cameron H and Feng, Jianqiao and Tward, Daniel J and Ratnanather, JT and Miller, MI
@article{segars2017application,
  title={Application of the {4-D XCAT} phantoms in biomedical imaging and beyond},
  author={Segars, W Paul and Tsui, Benjamin MW and Cai, Jing and Yin, Fang-Fang and others},
  journal={IEEE transactions on medical imaging},
  volume={37},
  number={3},
  pages={680--692},
  year={2017},
  publisher={IEEE}
}
% Fung, George SK and Samei, Ehsan

@InProceedings{styleTransfer_2016_CVPR,
author = {Gatys, Leon A. and Ecker, Alexander S. and Bethge, Matthias},
title = {Image Style Transfer Using Convolutional Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016},
ISSN={1063-6919},
pages={2414-2423},
}
%doi={10.1109/CVPR.2016.265},

@inproceedings{
miyato2018spectral,
title={Spectral Normalization for Generative Adversarial Networks},
author={Takeru Miyato and Toshiki Kataoka and Masanori Koyama and Yuichi Yoshida},
booktitle={International Conference on Learning Representations},
year={2018},
}
% url={https://openreview.net/forum?id=B1QRgziT-},


@article{ACDC,
author = {Bernard, Olivier and Lalande, Alain and Zotti, Clement and Cervenansky, Frederick and others},
volume={37},
number={11},
pages={2514-2525},
ISSN={1558-254X},
title = {Deep Learning Techniques for Automatic {MRI} Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?},
journal = {IEEE Transactions on Medical Imaging},
month={Nov},
year={2018}, 
}
%doi = {10.1109/TMI.2018.2837502}
% Yang, Xin and Heng, Pheng-Ann and Cetin, Irem and Lekadir, Karim and Camara, Oscar and González Ballester, Miguel Ángel and Sanroma, Gerard and Napel, Sandy and Petersen, Steffen and Tziritas, Georgios and Ilias, Grinias and Khened, Mahendra and Kollerathu, Varghese and Krishnamurthi, Ganapathy and Rohe, Marc-Michel and Jodoin, Pierre-Marc