@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{gorelick2014convexity,
  title={Convexity shape prior for segmentation},
  author={Gorelick, Lena and Veksler, Olga and Boykov, Yuri and Nieuwenhuis, Claudia},
  booktitle={European Conference on Computer Vision},
  pages={675--690},
  year={2014},
  organization={Springer}
}

@ARTICLE{Dempster1977Maximum,
    author = {A. P. Dempster and N. M. Laird and D. B. Rubin},
    title = {Maximum likelihood from incomplete data via the {EM} algorithm},
    journal = {Journal of the Royal Statistical Society, Series B},
    year = {1977},
    volume = {39},
    number = {1},
    pages = {1--38}
}

@ARTICLE{Cooper1970On,
author = {D. Cooper and J. Freeman},
journal = {IEEE Transactions on Computers},
title = {On the Asymptotic Improvement in the Outcome of Supervised Learning Provided by Additional Nonsupervised Learning},
year = {1970},
volume = {19},
number = {11},
pages = {1055-1063},
keywords={},
doi = {10.1109/T-C.1970.222832},
ISSN = {0018-9340},
month={}
}

@incollection{Oliver2018Realistic,
title = {Realistic Evaluation of Deep Semi-Supervised Learning Algorithms},
author = {Oliver, Avital and Odena, Augustus and Raffel, Colin A and Cubuk, Ekin Dogus and Goodfellow, Ian},
booktitle = {Advances in Neural Information Processing Systems 31},
editor = {S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett},
pages = {3239--3250},
year = {2018},
publisher = {Curran Associates, Inc.}
}

@book{Chapelle2010Semi,
 author = {Chapelle, Olivier and Schlkopf, Bernhard and Zien, Alexander},
 title = {Semi-Supervised Learning},
 year = {2010},
 isbn = {0262514125, 9780262514125},
 edition = {1st},
 publisher = {The MIT Press},
} 

% Original AlexNet
@inproceedings{Krizhevsky2012_AlexNet,
 author = {Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey E.},
 title = {ImageNet Classification with Deep Convolutional Neural Networks},
 booktitle = {Proceedings of the 25th International Conference on Neural Information Processing Systems - Volume 1},
 series = {NIPS'12},
 year = {2012},
 location = {Lake Tahoe, Nevada},
 pages = {1097--1105},
 numpages = {9},
 acmid = {2999257},
 publisher = {Curran Associates Inc.},
 address = {USA},
}

@article{DBLP:journals/corr/SimonyanZ14a,
  author    = {Karen Simonyan and
               Andrew Zisserman},
  title     = {Very Deep Convolutional Networks for Large-Scale Image Recognition},
  journal   = {CoRR},
  volume    = {abs/1409.1556},
  year      = {2014},  
  archivePrefix = {arXiv},
  eprint    = {1409.1556},
  timestamp = {Mon, 13 Aug 2018 16:46:51 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/SimonyanZ14a},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

% Original SegNet
@article{Badrinarayanan2015,
  added-at = {2018-08-13T00:00:00.000+0200},
  author = {Badrinarayanan, Vijay and Kendall, Alex and Cipolla, Roberto},
  biburl = {https://www.bibsonomy.org/bibtex/2b8b22cab168606f5b9e70a127763a7a7/dblp},
  ee = {http://arxiv.org/abs/1511.00561},
  interhash = {60a28b2b36102db80eb31617aeecd600},
  intrahash = {b8b22cab168606f5b9e70a127763a7a7},
  journal = {CoRR},
  keywords = {dblp},
  timestamp = {2018-08-14T14:56:06.000+0200},
  title = {SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation.},
  volume = {abs/1511.00561},
  year = 2015
}

% Original ENet 
@article{Paszke2016,
  author    = {Adam Paszke and
               Abhishek Chaurasia and
               Sangpil Kim and
               Eugenio Culurciello},
  title     = {ENet: {A} Deep Neural Network Architecture for Real-Time Semantic
               Segmentation},
  journal   = {CoRR},
  volume    = {abs/1606.02147},
  year      = {2016},  
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

% Original ResNet
@article{He15,
  author    = {Kaiming He and
               Xiangyu Zhang and
               Shaoqing Ren and
               Jian Sun},
  title     = {Deep Residual Learning for Image Recognition},
  journal   = {CoRR},
  volume    = {abs/1512.03385},
  year      = {2015},  
  archivePrefix = {arXiv},
  eprint    = {1512.03385},
  timestamp = {Mon, 13 Aug 2018 16:46:56 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/HeZRS15},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

% Original FCN
@article{Long2014,
  author    = {Jonathan Long and
               Evan Shelhamer and
               Trevor Darrell},
  title     = {Fully Convolutional Networks for Semantic Segmentation},
  journal   = {CoRR},
  volume    = {abs/1411.4038},
  year      = {2014},
  archivePrefix = {arXiv},
  eprint    = {1411.4038},
  timestamp = {Mon, 13 Aug 2018 16:48:17 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/LongSD14},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

% Cityscapes dataset
@article{cityscapes,
  author    = {Marius Cordts and
               Mohamed Omran and
               Sebastian Ramos and
               Timo Rehfeld and
               Markus Enzweiler and
               Rodrigo Benenson and
               Uwe Franke and
               Stefan Roth and
               Bernt Schiele},
  title     = {The Cityscapes Dataset for Semantic Urban Scene Understanding},
  journal   = {CoRR},
  volume    = {abs/1604.01685},
  year      = {2016},  
  archivePrefix = {arXiv},
  eprint    = {1604.01685},
  timestamp = {Mon, 13 Aug 2018 16:47:48 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/CordtsORREBFRS16},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

% Automated Cardiac Diagnosis Challenge (ACDC)
@ARTICLE{ACDC, 
author={O. Bernard et al.}, 
journal={IEEE Transactions on Medical Imaging}, 
title={Deep Learning Techniques for Automatic {MRI} Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?}, 
year={2018}, 
volume={37}, 
number={11}, 
pages={2514-2525}, 
keywords={biomedical MRI;cardiology;image segmentation;learning (artificial intelligence);medical image processing;fully automatic analysis;cardiac CMRI;highly accurate analysis;automatic diagnosis;automatic extraction;classification task;segmentation task;2017 MICCAI-ACDC challenge;state-of-the-art deep learning methods;medical experts;reference measurements;150 multiequipments;cardiac MRI assessment;fully annotated dataset;largest publicly available annotated dataset;Automatic Cardiac Diagnosis Challenge dataset;intense research;corresponding tasks;common clinical task;multislice 2-D cine MRI;cardiac magnetic resonance images;ventricle;myocardium;left ventricular cavity;automatic MRI cardiac multistructures segmentation;deep learning techniques;Machine learning;Magnetic resonance imaging;Myocardium;Image segmentation;Task analysis;Biomedical imaging;Heart;Cardiac segmentation and diagnosis;deep learning;MRI;left and right ventricles;myocardium}, 
doi={10.1109/TMI.2018.2837502}, 
ISSN={0278-0062}, 
month={Nov},}

% Semi-suervised studies
@article{Baur2017,
  author    = {Christoph Baur and
               Shadi Albarqouni and
               Nassir Navab},
  title     = {Auxiliary Manifold Embedding for Fully Convolutional Networks},
  journal   = {CoRR},
  volume    = {abs/1703.06000},
  year      = {2017},  
  archivePrefix = {arXiv},
  eprint    = {1703.06000},
  timestamp = {Mon, 13 Aug 2018 16:46:03 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/BaurAN17},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{Shaobo2018,
author = {Min, Shaobo and Chen, Xuejin},
year = {2018},
month = {07},
pages = {},
title = {A Robust Deep Attention Network to Noisy Labels in Semi-supervised Biomedical Segmentation}
}

@inproceedings{zhou2019semi,
  title={Semi-supervised 3{D} abdominal multi-organ segmentation via deep multi-planar co-training},
  author={Zhou, Yuyin and Wang, Yan and Tang, Peng and Bai, Song and Shen, Wei and Fishman, Elliot and Yuille, Alan},
  booktitle={2019 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  pages={121--140},
  year={2019},
  organization={IEEE}
}

@article{Farabet2013,
 author = {Farabet, Clement and Couprie, Camille and Najman, Laurent and LeCun, Yann},
 title = {Learning Hierarchical Features for Scene Labeling},
 journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
 issue_date = {August 2013},
 volume = {35},
 number = {8},
 month = aug,
 year = {2013},
 issn = {0162-8828},
 pages = {1915--1929},
 numpages = {15},
 doi = {10.1109/TPAMI.2012.231},
 acmid = {2498895},
 publisher = {IEEE Computer Society},
 address = {Washington, DC, USA},
 keywords = {Feature extraction,Image segmentation,Labeling,Vectors,Context,Image edge detection,Accuracy,scene parsing,Convolutional networks,deep learning,image segmentation,image classification},
}

@article{Hariharan2014,
  author    = {Bharath Hariharan and
               Pablo Arbelaez and
               Ross B. Girshick and
               Jitendra Malik},
  title     = {Simultaneous Detection and Segmentation},
  journal   = {CoRR},
  volume    = {abs/1407.1808},
  year      = {2014},  
  archivePrefix = {arXiv},
  eprint    = {1407.1808},
  timestamp = {Mon, 13 Aug 2018 16:48:04 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/HariharanAGM14},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{Gupta2014,
  author    = {Saurabh Gupta and
               Ross B. Girshick and
               Pablo Arbelaez and
               Jitendra Malik},
  title     = {Learning Rich Features from {RGB-D} Images for Object Detection and
               Segmentation},
  journal   = {CoRR},
  volume    = {abs/1407.5736},
  year      = {2014},  
  archivePrefix = {arXiv},
  eprint    = {1407.5736},
  timestamp = {Mon, 13 Aug 2018 16:47:55 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/GuptaGAM14},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{Marmanis2016,
author = {Marmanis, D and Wegner, J.{\~{}}D. and Galliani, S and Schindler, K and Datcu, M and Stilla, U},
doi = {10.5194/isprs-annals-III-3-473-2016},
file = {:home/guillermo/Documents/Mendeley Desktop/Marmanis et al. - 2016 - Semantic Segmentation of Aerial Images with AN Ensemble of CNNs.pdf:pdf},
journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences},
mendeley-groups = {Image Segmentation/Ensemble},
month = {jun},
pages = {473--480},
title = {{Semantic Segmentation of Aerial Images with AN Ensemble of CNNs}},
year = {2016}
}

@article{Zhao2017,
address = {Secaucus, NJ, USA},
author = {Zhao, Bo and Feng, Jiashi and Wu, Xiao and Yan, Shuicheng},
doi = {10.1007/s11633-017-1053-3},
file = {:home/guillermo/Documents/Mendeley Desktop/Zhao et al. - 2017 - A Survey on Deep Learning-based Fine-grained Object Classification and Semantic Segmentation.pdf:pdf},
issn = {1476-8186},
journal = {Int. J. Autom. Comput.},
keywords = {Deep learning,convolutional neural network (CNN),fine-grained image classification,recurrent neural network (RNN),semantic segmentation},
mendeley-groups = {Image Segmentation/Ensemble},
month = {apr},
number = {2},
pages = {119--135},
publisher = {Springer-Verlag New York, Inc.},
title = {{A Survey on Deep Learning-based Fine-grained Object Classification and Semantic Segmentation}},
volume = {14},
year = {2017}
}

@article{Dolz2017,
  author    = {Jose Dolz and
               Karthik Gopinath and
               Jing Yuan and
               Herve Lombaert and
               Christian Desrosiers and
               Ismail Ben Ayed},
  title     = {HyperDense-Net: {A} hyper-densely connected {CNN} for multi-modal
               image segmentation},
  journal   = {CoRR},
  volume    = {abs/1804.02967},
  year      = {2018}, 
  archivePrefix = {arXiv},
  eprint    = {1804.02967},
  timestamp = {Mon, 13 Aug 2018 16:48:02 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1804-02967},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@incollection{Bachman2014,
author = {Bachman, Philip and Alsharif, Ouais and Precup, Doina},
booktitle = {Advances in Neural Information Processing Systems 27},
editor = {Ghahramani, Z and Welling, M and Cortes, C and Lawrence, N D and Weinberger, K Q},
file = {:home/guillermo/Documents/Mendeley Desktop/Bachman, Alsharif, Precup - 2014 - Learning with Pseudo-Ensembles.pdf:pdf},
mendeley-groups = {Image Segmentation/Ensemble},
pages = {3365--3373},
publisher = {Curran Associates, Inc.},
title = {{Learning with Pseudo-Ensembles}},
year = {2014}
}




@article{lenz2015deep,
  title={Deep learning for detecting robotic grasps},
  author={Lenz, Ian and Lee, Honglak and Saxena, Ashutosh},
  journal={The International Journal of Robotics Research},
  volume={34},
  number={4-5},
  pages={705--724},
  year={2015},
  publisher={SAGE Publications Sage UK: London, England}
}

@article{sallab2017deep,
  title={Deep reinforcement learning framework for autonomous driving},
  author={Sallab, Ahmad EL and Abdou, Mohammed and Perot, Etienne and Yogamani, Senthil},
  journal={Electronic Imaging},
  volume={2017},
  number={19},
  pages={70--76},
  year={2017},
  publisher={Society for Imaging Science and Technology}
}
@article{miotto2017deep,
  title={Deep learning for healthcare: review, opportunities and challenges},
  author={Miotto, Riccardo and Wang, Fei and Wang, Shuang and Jiang, Xiaoqian and Dudley, Joel T},
  journal={Briefings in bioinformatics},
  year={2017}
}

@article{de2018clinically,
  title={Clinically applicable deep learning for diagnosis and referral in retinal disease},
  author={De Fauw, Jeffrey and Ledsam, Joseph R and Romera-Paredes, Bernardino and Nikolov, Stanislav and Tomasev, Nenad and Blackwell, Sam and Askham, Harry and Glorot, Xavier and O’Donoghue, Brendan and Visentin, Daniel and others},
  journal={Nature medicine},
  volume={24},
  number={9},
  pages={1342},
  year={2018},
  publisher={Nature Publishing Group}
}
@article{shen2017deep,
  title={Deep learning in medical image analysis},
  author={Shen, Dinggang and Wu, Guorong and Suk, Heung-Il},
  journal={Annual review of biomedical engineering},
  volume={19},
  pages={221--248},
  year={2017},
  publisher={Annual Reviews}
}
@article{lecun2015deep,
  title={Deep learning},
  author={LeCun, Yann and Bengio, Yoshua and Hinton, Geoffrey},
  journal={nature},
  volume={521},
  number={7553},
  pages={436},
  year={2015},
  publisher={Nature Publishing Group}
}
@article{ji20133d,
  title={3D convolutional neural networks for human action recognition},
  author={Ji, Shuiwang and Xu, Wei and Yang, Ming and Yu, Kai},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  volume={35},
  number={1},
  pages={221--231},
  year={2013},
  publisher={IEEE}
}


@article{zhao2016deep,
  title={Deep learning and its applications to machine health monitoring: A survey},
  author={Zhao, Rui and Yan, Ruqiang and Chen, Zhenghua and Mao, Kezhi and Wang, Peng and Gao, Robert X},
  journal={arXiv preprint arXiv:1612.07640},
  year={2016}
}
@inproceedings{deng2009imagenet,
  title={Imagenet: A large-scale hierarchical image database},
  author={Deng, Jia and Dong, Wei and Socher, Richard and Li, Li-Jia and Li, Kai and Fei-Fei, Li},
  booktitle={Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on},
  pages={248--255},
  year={2009},
  organization={Ieee}
}
@inproceedings{noh2015learning,
  title={Learning deconvolution network for semantic segmentation},
  author={Noh, Hyeonwoo and Hong, Seunghoon and Han, Bohyung},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={1520--1528},
  year={2015}
}

@inproceedings{cordts2016cityscapes,
  title={The cityscapes dataset for semantic urban scene understanding},
  author={Cordts, Marius and Omran, Mohamed and Ramos, Sebastian and Rehfeld, Timo and Enzweiler, Markus and Benenson, Rodrigo and Franke, Uwe and Roth, Stefan and Schiele, Bernt},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={3213--3223},
  year={2016}
}

@inproceedings{bearman2016s,
  title={What’s the point: Semantic segmentation with point supervision},
  author={Bearman, Amy and Russakovsky, Olga and Ferrari, Vittorio and Fei-Fei, Li},
  booktitle={European Conference on Computer Vision},
  pages={549--565},
  year={2016},
  organization={Springer}
}


@inproceedings{kolesnikov2016seed,
  title={Seed, expand and constrain: Three principles for weakly-supervised image segmentation},
  author={Kolesnikov, Alexander and Lampert, Christoph H},
  booktitle={European Conference on Computer Vision},
  pages={695--711},
  year={2016},
  organization={Springer}
}
@misc{pascal-voc-2012,
	author = "Everingham, M. and Van~Gool, L. and Williams, C. K. I. and Winn, J. and Zisserman, A.",
	title = "The {PASCAL} {V}isual {O}bject {C}lasses {C}hallenge 2012 {(VOC2012)} {R}esults",
	howpublished = "http://www.pascal-network.org/challenges/VOC/voc2012/workshop/index.html"}

@inproceedings{pathak2015constrained,
  title={Constrained convolutional neural networks for weakly supervised segmentation},
  author={Pathak, Deepak and Krahenbuhl, Philipp and Darrell, Trevor},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={1796--1804},
  year={2015}
}
@inproceedings{lin2016scribblesup,
  title={Scribblesup: Scribble-supervised convolutional networks for semantic segmentation},
  author={Lin, Di and Dai, Jifeng and Jia, Jiaya and He, Kaiming and Sun, Jian},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={3159--3167},
  year={2016}
}

@inproceedings{khoreva2017simple,
  title={Simple Does It: Weakly Supervised Instance and Semantic Segmentation.},
  author={Khoreva, Anna and Benenson, Rodrigo and Hosang, Jan Hendrik and Hein, Matthias and Schiele, Bernt},
  booktitle={CVPR},
  volume={1},
  number={2},
  pages={3},
  year={2017}
}
@inproceedings{zhang2015weakly,
  title={Weakly supervised semantic segmentation for social images},
  author={Zhang, Wei and Zeng, Sheng and Wang, Dequan and Xue, Xiangyang},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={2718--2726},
  year={2015}
}

@inproceedings{vezhnevets2010towards,
  title={Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning},
  author={Vezhnevets, Alexander and Buhmann, Joachim M},
  year={2010},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={3249--3256},
  publisher={IEEE}
}
@inproceedings{jie2017deep,
  title={Deep self-taught learning for weakly supervised object localization},
  author={Jie, Zequn and Wei, Yunchao and Jin, Xiaojie and Feng, Jiashi and Liu, Wei},
  booktitle={IEEE CVPR},
  volume={2},
  year={2017}
}
@inproceedings{bilen2016weakly,
  title={Weakly supervised deep detection networks},
  author={Bilen, Hakan and Vedaldi, Andrea},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={2846--2854},
  year={2016}
}
@inproceedings{selvaraju2017grad,
  title={Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization.},
  author={Selvaraju, Ramprasaath R and Cogswell, Michael and Das, Abhishek and Vedantam, Ramakrishna and Parikh, Devi and Batra, Dhruv and others},
  booktitle={ICCV},
  pages={618--626},
  year={2017}
}

@inproceedings{zhou2016learning,
  title={Learning deep features for discriminative localization},
  author={Zhou, Bolei and Khosla, Aditya and Lapedriza, Agata and Oliva, Aude and Torralba, Antonio},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={2921--2929},
  year={2016}
}
@article{Diba2016Weakly,
  title={Weakly Supervised Cascaded Convolutional Networks},
  author={Diba, Ali and Sharma, Vivek and Pazandeh, Ali and Pirsiavash, Hamed and Gool, Luc Van},
  pages={5131-5139},
  year={2016},
}
@article{Liu2015CRF,
  title={CRF learning with CNN features for image segmentation},
  author={Liu, Fayao and Lin, Guosheng and Shen, Chunhua},
  journal={Pattern Recognition},
  volume={48},
  number={10},
  pages={2983-2992},
  year={2015},
}
@article{Zheng2015Conditional,
  title={Conditional Random Fields as Recurrent Neural Networks},
  author={Zheng, Shuai and Jayasumana, Sadeep and Bernardino RomeraParedes and Vineet, Vibhav and Su, Zhizhong and Du, Dalong and Huang, Chang and Torr, Philip H. S.},
  pages={1529-1537},
  year={2015},
}
@article{Chen2018DeepLab,
  title={DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs},
  author={Chen, Liang Chieh and Papandreou, George and Kokkinos, Iasonas and Murphy, Kevin and Yuille, Alan L.},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume={40},
  number={4},
  pages={834-848},
  year={2018},
}

@article{kervadec2018size,
  title={Size-constraint loss for weakly supervised CNN segmentation},
  author={Kervadec, Hoel and Dolz, Jose and Tang, Meng and Granger, Eric and Boykov, Yuri and Ayed, Ismail Ben},
  year={2018}
}
@article{kumar2017ensemble,
  title={An ensemble of fine-tuned convolutional neural networks for medical image classification},
  author={Kumar, Ashnil and Kim, Jinman and Lyndon, David and Fulham, Michael and Feng, Dagan},
  journal={IEEE journal of biomedical and health informatics},
  volume={21},
  number={1},
  pages={31--40},
  year={2017},
  publisher={IEEE}
}
@article{zhao2017diversified,
  title={Diversified visual attention networks for fine-grained object classification},
  author={Zhao, Bo and Wu, Xiao and Feng, Jiashi and Peng, Qiang and Yan, Shuicheng},
  journal={IEEE Transactions on Multimedia},
  volume={19},
  number={6},
  pages={1245--1256},
  year={2017},
  publisher={IEEE}
}
@article{miyato2018virtual,
  title={Virtual adversarial training: a regularization method for supervised and semi-supervised learning},
  author={Miyato, Takeru and Maeda, Shin-ichi and Koyama, Masanori and Ishii, Shin},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  volume={41},
  number={8},
  pages={1979--1993},
  year={2018},
  publisher={IEEE}
}

@article{isola2017image,
  title={Image-to-image translation with conditional adversarial networks},
  author={Isola, Phillip and Zhu, Jun-Yan and Zhou, Tinghui and Efros, Alexei A},
  journal={arXiv preprint},
  year={2017}
}
@article{saxena2016convolutional,
  title={Convolutional neural networks: an illustration in TensorFlow},
  author={Saxena, Abhineet},
  journal={XRDS: Crossroads, The ACM Magazine for Students},
  volume={22},
  number={4},
  pages={56--58},
  year={2016},
  publisher={ACM}
}
@article{schmidhuber2015deep,
  title={Deep learning in neural networks: An overview},
  author={Schmidhuber, J{\"u}rgen},
  journal={Neural networks},
  volume={61},
  pages={85--117},
  year={2015},
  publisher={Elsevier}
}
@inproceedings{schwarz2015rgb,
  title={RGB-D object recognition and pose estimation based on pre-trained convolutional neural network features},
  author={Schwarz, Max and Schulz, Hannes and Behnke, Sven},
  booktitle={Robotics and Automation (ICRA), 2015 IEEE International Conference on},
  pages={1329--1335},
  year={2015},
  organization={IEEE}
}
@article{gardner1998artificial,
  title={Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences},
  author={Gardner, Matt W and Dorling, SR},
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@Article{Litjens2017,
  Title                    = {A survey on deep learning in medical image analysis},
  Author                   = {Geert J. S. Litjens and Thijs Kooi and Babak Ehteshami Bejnordi and Arnaud Arindra Adiyoso Setio and Francesco Ciompi and Mohsen Ghafoorian and Jeroen A. W. M. van der Laak and Bram van Ginneken and Clara I. S{\'{a}}nchez},
  Journal                  = {Medical Image Analysis},
  Year                     = {2017},
  Pages                    = {60--88},
  Volume                   = {42},

  Bibsource                = {dblp computer science bibliography, https://dblp.org},
  Biburl                   = {https://dblp.org/rec/bib/journals/mia/LitjensKBSCGLGS17},
  Doi                      = {10.1016/j.media.2017.07.005},
  Owner                    = {ibenayed},
  Timestamp                = {Thu, 26 Oct 2017 16:15:38 +0200}
}

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