DLMA.bib

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@inproceedings{ronneberger2015u,
	Author = {Ronneberger, Olaf and Fischer, Philipp and Brox, Thomas},
	Booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
	Date-Added = {2017-03-13 12:34:58 +0000},
	Date-Modified = {2017-03-13 12:34:58 +0000},
	Organization = {Springer},
	Pages = {234--241},
	Title = {U-net: Convolutional networks for biomedical image segmentation},
	Year = {2015}}

@inproceedings{yang2015automated,
	Author = {Yang, Dong and Zhang, Shaoting and Yan, Zhennan and Tan, Chaowei and Li, Kang and Metaxas, Dimitris},
	Booktitle = {Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on},
	Organization = {IEEE},
	Pages = {17--21},
	Title = {Automated anatomical landmark detection ondistal femur surface using convolutional neural network},
	Year = {2015}}

@article{teramoto2016automated,
	Author = {Teramoto, Atsushi and Fujita, Hiroshi and Yamamuro, Osamu and Tamaki, Tsuneo},
	Journal = {Medical physics},
	Number = {6},
	Pages = {2821--2827},
	Publisher = {Wiley Online Library},
	Title = {Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique},
	Volume = {43},
	Year = {2016}}

@article{dou2016automatic,
	Author = {Dou, Qi and Chen, Hao and Yu, Lequan and Zhao, Lei and Qin, Jing and Wang, Defeng and Mok, Vincent CT and Shi, Lin and Heng, Pheng-Ann},
	Journal = {IEEE transactions on medical imaging},
	Number = {5},
	Pages = {1182--1195},
	Publisher = {IEEE},
	Title = {Automatic detection of cerebral microbleeds from MR images via 3D convolutional neural networks},
	Volume = {35},
	Year = {2016}}

@inproceedings{hwang2016self,
	Author = {Hwang, Sangheum and Kim, Hyo-Eun},
	Booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
	Organization = {Springer},
	Pages = {239--246},
	Title = {Self-Transfer Learning for Weakly Supervised Lesion Localization},
	Year = {2016}}

@article{van2016fast,
	Author = {van Grinsven, Mark JJP and van Ginneken, Bram and Hoyng, Carel B and Theelen, Thomas and S{\'a}nchez, Clara I},
	Journal = {IEEE transactions on medical imaging},
	Number = {5},
	Pages = {1273--1284},
	Publisher = {IEEE},
	Title = {Fast convolutional neural network training using selective data sampling: Application to hemorrhage detection in color fundus images},
	Volume = {35},
	Year = {2016}}

@article{chen2015standard,
	Author = {Chen, Hao and Ni, Dong and Qin, Jing and Li, Shengli and Yang, Xin and Wang, Tianfu and Heng, Pheng Ann},
	Journal = {IEEE journal of biomedical and health informatics},
	Number = {5},
	Pages = {1627--1636},
	Publisher = {IEEE},
	Title = {Standard plane localization in fetal ultrasound via domain transferred deep neural networks},
	Volume = {19},
	Year = {2015}}

@inproceedings{payer2016regressing,
	Author = {Payer, Christian and {\v{S}}tern, Darko and Bischof, Horst and Urschler, Martin},
	Booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
	Organization = {Springer},
	Pages = {230--238},
	Title = {Regressing Heatmaps for Multiple Landmark Localization Using CNNs},
	Year = {2016}}

@inproceedings{ghesu2016artificial,
	Author = {Ghesu, Florin C and Georgescu, Bogdan and Mansi, Tommaso and Neumann, Dominik and Hornegger, Joachim and Comaniciu, Dorin},
	Booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
	Organization = {Springer},
	Pages = {229--237},
	Title = {An artificial agent for anatomical landmark detection in medical images},
	Year = {2016}}

@inproceedings{zheng20153d,
	Author = {Zheng, Yefeng and Liu, David and Georgescu, Bogdan and Nguyen, Hien and Comaniciu, Dorin},
	Booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
	Organization = {Springer},
	Pages = {565--572},
	Title = {3D deep learning for efficient and robust landmark detection in volumetric data},
	Year = {2015}}

@inproceedings{baumgartner2016real,
	Author = {Baumgartner, Christian F and Kamnitsas, Konstantinos and Matthew, Jacqueline and Smith, Sandra and Kainz, Bernhard and Rueckert, Daniel},
	Booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
	Organization = {Springer},
	Pages = {203--211},
	Title = {Real-time standard scan plane detection and localisation in fetal ultrasound using fully convolutional neural networks},
	Year = {2016}}

@inproceedings{chen2015automatic,
	Author = {Chen, Hao and Dou, Qi and Ni, Dong and Cheng, Jie-Zhi and Qin, Jing and Li, Shengli and Heng, Pheng-Ann},
	Booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
	Organization = {Springer},
	Pages = {507--514},
	Title = {Automatic fetal ultrasound standard plane detection using knowledge transferred recurrent neural networks},
	Year = {2015}}

@inproceedings{kong2016recognizing,
	Author = {Kong, Bin and Zhan, Yiqiang and Shin, Min and Denny, Thomas and Zhang, Shaoting},
	Booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
	Organization = {Springer},
	Pages = {264--272},
	Title = {Recognizing end-diastole and end-systole frames via deep temporal regression network},
	Year = {2016}}

@article{7279156,
	Author = {H. R. Roth and L. Lu and J. Liu and J. Yao and A. Seff and K. Cherry and L. Kim and R. M. Summers},
	Doi = {10.1109/TMI.2015.2482920},
	Issn = {0278-0062},
	Journal = {IEEE Transactions on Medical Imaging},
	Month = {May},
	Number = {5},
	Pages = {1170-1181},
	Title = {Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation},
	Volume = {35},
	Year = {2016},
	Bdsk-Url-1 = {http://dx.doi.org/10.1109/TMI.2015.2482920}}

@article{setio2016pulmonary,
	Author = {Setio, Arnaud Arindra Adiyoso and Ciompi, Francesco and Litjens, Geert and Gerke, Paul and Jacobs, Colin and van Riel, Sarah J and Wille, Mathilde Marie Winkler and Naqibullah, Matiullah and S{\'a}nchez, Clara I and van Ginneken, Bram},
	Journal = {IEEE transactions on medical imaging},
	Number = {5},
	Pages = {1160--1169},
	Publisher = {IEEE},
	Title = {Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks},
	Volume = {35},
	Year = {2016}}

@inproceedings{nie20163d,
	Author = {Nie, Dong and Zhang, Han and Adeli, Ehsan and Liu, Luyan and Shen, Dinggang},
	Booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
	Organization = {Springer},
	Pages = {212--220},
	Title = {3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients},
	Year = {2016}}

@article{cheng2016computer,
	Author = {Cheng, Jie-Zhi and Ni, Dong and Chou, Yi-Hong and Qin, Jing and Tiu, Chui-Mei and Chang, Yeun-Chung and Huang, Chiun-Sheng and Shen, Dinggang and Chen, Chung-Ming},
	Journal = {Scientific reports},
	Publisher = {Nature Publishing Group},
	Title = {Computer-Aided diagnosis with deep learning architecture: applications to breast lesions in us images and pulmonary nodules in CT scans},
	Volume = {6},
	Year = {2016}}

@inproceedings{xu2014deep,
	Author = {Xu, Yan and Mo, Tao and Feng, Qiwei and Zhong, Peilin and Lai, Maode and Eric, I and Chang, Chao},
	Booktitle = {Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on},
	Organization = {IEEE},
	Pages = {1626--1630},
	Title = {Deep learning of feature representation with multiple instance learning for medical image analysis},
	Year = {2014}}

@article{gao2015automatic,
	Author = {Gao, Xinting and Lin, Stephen and Wong, Tien Yin},
	Journal = {IEEE Transactions on Biomedical Engineering},
	Number = {11},
	Pages = {2693--2701},
	Publisher = {IEEE},
	Title = {Automatic feature learning to grade nuclear cataracts based on deep learning},
	Volume = {62},
	Year = {2015}}

@inproceedings{kawahara2016multi,
	Author = {Kawahara, Jeremy and Hamarneh, Ghassan},
	Booktitle = {International Workshop on Machine Learning in Medical Imaging},
	Organization = {Springer},
	Pages = {164--171},
	Title = {Multi-resolution-Tract CNN with Hybrid Pretrained and Skin-Lesion Trained Layers},
	Year = {2016}}

@inproceedings{shen2015multi,
	Author = {Shen, Wei and Zhou, Mu and Yang, Feng and Yang, Caiyun and Tian, Jie},
	Booktitle = {International Conference on Information Processing in Medical Imaging},
	Organization = {Springer},
	Pages = {588--599},
	Title = {Multi-scale convolutional neural networks for lung nodule classification},
	Year = {2015}}

@article{antony2016quantifying,
	Author = {Antony, Joseph and McGuinness, Kevin and Connor, Noel EO and Moran, Kieran},
	Journal = {arXiv preprint arXiv:1609.02469},
	Title = {Quantifying Radiographic Knee Osteoarthritis Severity using Deep Convolutional Neural Networks},
	Year = {2016}}

@inproceedings{kim2016deep,
	Author = {Kim, Edward and Corte-Real, Miguel and Baloch, Zubair},
	Booktitle = {SPIE Medical Imaging},
	Organization = {International Society for Optics and Photonics},
	Pages = {97890A--97890A},
	Title = {A deep semantic mobile application for thyroid cytopathology},
	Year = {2016}}

@article{payan2015predicting,
	Author = {Payan, Adrien and Montana, Giovanni},
	Journal = {arXiv preprint arXiv:1502.02506},
	Title = {Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks},
	Year = {2015}}

@article{hosseini2016alzheimer,
	Author = {Hosseini-Asl, Ehsan and Gimel'farb, Georgy and El-Baz, Ayman},
	Journal = {arXiv preprint arXiv:1607.00556},
	Title = {Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network},
	Year = {2016}}

@Inbook{Christ2016,
title="Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields",
author="Christ, Patrick Ferdinand and Elshaer, Mohamed Ezzeldin A. and Ettlinger, Florian and Tatavarty, Sunil and Bickel, Marc and Bilic, Patrick and Rempfler, Markus and Armbruster, Marco and Hofmann, Felix and D'Anastasi, Melvin and Sommer, Wieland H. and Ahmadi, Seyed-Ahmad and Menze, Bjoern H.",
editor="Ourselin, Sebastien and Joskowicz, Leo and Sabuncu, Mert R. and Unal, Gozde and Wells, William",
bookTitle="Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II",
year="2016",
publisher="MICCAI",
pages="415--423",
}

@ARTICLE{Christ2017,
   author = {{Christ}, P.~F. and {Ettlinger}, F. and {Kaissis}, G. and {Schlecht}, S. and 
	{Ahmaddy}, F. and {Gr{\"u}n}, F. and {Valentinitsch}, A. and 
	{Ahmadi}, S.-A. and {Braren}, R. and {Menze}, B.},
    title = "{SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks}",
  journal = {ISBI 2017},
 primaryClass = "cs.CV",
 keywords = {Computer Science - Computer Vision and Pattern Recognition},
     year = 2017,
    month = feb,
   adsurl = {http://adsabs.harvard.edu/abs/2017arXiv170205941C},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
  
  
@ARTICLE{Christ2017-CFCN,
   author = {{Christ}, P.~F. and {Ettlinger}, F. and {Gr{\"u}n}, F. and {Elshaera}, M.~E.~A. and 
	{Lipkova}, J. and {Schlecht}, S. and {Ahmaddy}, F. and {Tatavarty}, S. and 
	{Bickel}, M. and {Bilic}, P. and {Rempfler}, M. and {Hofmann}, F. and 
	{Anastasi}, M.~D and {Ahmadi}, S.-A. and {Kaissis}, G. and {Holch}, J. and 
	{Sommer}, W. and {Braren}, R. and {Heinemann}, V. and {Menze}, B.
	},
    title = "{Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks}",
  journal = {ArXiv e-prints},
archivePrefix = "arXiv",
   eprint = {1702.05970},
 primaryClass = "cs.CV",
 keywords = {Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence},
     year = 2017,
    month = feb,
   adsurl = {http://adsabs.harvard.edu/abs/2017arXiv170205970C},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@inproceedings{yang2017suggestive,
  title={Suggestive annotation: A deep active learning framework for biomedical image segmentation},
  author={Yang, Lin and Zhang, Yizhe and Chen, Jianxu and Zhang, Siyuan and Chen, Danny Z},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={399--407},
  year={2017},
  organization={Springer}
}

@inproceedings{kamnitsas2017unsupervised,
  title={Unsupervised domain adaptation in brain lesion segmentation with adversarial networks},
  author={Kamnitsas, Konstantinos and Baumgartner, Christian and Ledig, Christian and Newcombe, Virginia and Simpson, Joanna and Kane, Andrew and Menon, David and Nori, Aditya and Criminisi, Antonio and Rueckert, Daniel and others},
  booktitle={International Conference on Information Processing in Medical Imaging},
  pages={597--609},
  year={2017},
  organization={Springer}
}

@inproceedings{dou20163d,
  title={3d deeply supervised network for automatic liver segmentation from ct volumes},
  author={Dou, Qi and Chen, Hao and Jin, Yueming and Yu, Lequan and Qin, Jing and Heng, Pheng-Ann},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={149--157},
  year={2016},
  organization={Springer}
}

@article{schlemper2017deep,
  title={A deep cascade of convolutional neural networks for dynamic MR image reconstruction},
  author={Schlemper, Jo and Caballero, Jose and Hajnal, Joseph V and Price, Anthony and Rueckert, Daniel},
  journal={arXiv preprint arXiv:1704.02422},
  year={2017}
}

@article{mardani2017deep,
  title={Deep generative adversarial networks for compressed sensing automates MRI},
  author={Mardani, Morteza and Gong, Enhao and Cheng, Joseph Y and Vasanawala, Shreyas and Zaharchuk, Greg and Alley, Marcus and Thakur, Neil and Han, Song and Dally, William and Pauly, John M and others},
  journal={arXiv preprint arXiv:1706.00051},
  year={2017}
}