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book = {Optimization for Machine Learning},
author = {Andersen, Martin and Dahl, Joachim and Liu, Zhang and Vandenberghe, Lieven},
year = {2011},
month = {01},
pages = {},
title = {Interior-point methods for large-scale cone programming}
}

@Article{Wachter2006,
author="W{\"a}chter, Andreas
and Biegler, Lorenz T.",
title="On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming",
journal="Mathematical Programming",
year="2006",
month="Mar",
day="01",
volume="106",
number="1",
pages="25--57",
abstract="We present a primal-dual interior-point algorithm with a filter line-search method for nonlinear programming. Local and global convergence properties of this method were analyzed in previous work. Here we provide a comprehensive description of the algorithm, including the feasibility restoration phase for the filter method, second-order corrections, and inertia correction of the KKT matrix. Heuristics are also considered that allow faster performance. This method has been implemented in the IPOPT code, which we demonstrate in a detailed numerical study based on 954 problems from the CUTEr test set. An evaluation is made of several line-search options, and a comparison is provided with two state-of-the-art interior-point codes for nonlinear programming.",
issn="1436-4646",
doi="10.1007/s10107-004-0559-y",
url="https://doi.org/10.1007/s10107-004-0559-y"
}

@book{fourer1993ampl,
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}

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  year={2016}
}

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}

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@article{Oksuz2020,
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@article{coco14,
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@article{Wang2019,
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  journal   = {CoRR},
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@article{Oksuz2017,
author = {Oksuz, Kemal and Cam, Baris and Akbas, Emre and Kalkan, Sinan},
year = {2019},
month = {09},
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title = {Generating Positive Bounding Boxes for Balanced Training of Object Detectors}
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and Matas, Jiri
and Sebe, Nicu
and Welling, Max",
title="SSD: Single Shot MultiBox Detector",
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year="2016",
publisher="Springer International Publishing",
address="Cham",
pages="21--37",
isbn="978-3-319-46448-0"
}

@misc{fu2017dssd,
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      eprint={1701.06659},
      archivePrefix={arXiv},
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}

@inproceedings{gnedenko1951,
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@article{Richard1991NeuralNC,
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}

@article{buda2017,
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@inproceedings{Lin2017,
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@inproceedings{Shrivastava2016,
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@inproceedings{Pang2019,
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@inproceedings{li2019,
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@InProceedings{Rahmatullah2012,
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year="2012",
publisher="Springer Berlin Heidelberg",
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pages="402--409",
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}

@InProceedings{Maraci2014,
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title="Searching for Structures of Interest in an Ultrasound Video Sequence",
booktitle="Machine Learning in Medical Imaging",
year="2014",
publisher="Springer International Publishing",
address="Cham",
pages="133--140",
isbn="978-3-319-10581-9"
}


@article{Kwitt2013,
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and Hornegger, Joachim
and Wells, William M.
and Frangi, Alejandro",
title="Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks",
booktitle="Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015",
year="2015",
publisher="Springer International Publishing",
address="Cham",
pages="507--514",
isbn="978-3-319-24553-9"
}

@ARTICLE{Baumgartner2017,
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  journal={IEEE Transactions on Medical Imaging}, 
  title={SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound}, 
  year={2017},
  volume={36},
  number={11},
  pages={2204-2215},
  doi={10.1109/TMI.2017.2712367},
  ISSN={1558-254X},
  month={Nov},}

@article {Lin2019,
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	DOI = {10.1016/j.media.2019.101548},
	Volume = {58},
	Month = {December},
	Year = {2019},
	Journal = {Medical image analysis},
	ISSN = {1361-8415},
	Pages = {101548},
	URL = {https://doi.org/10.1016/j.media.2019.101548},
}

@ARTICLE{Wu2017,  
author={L. {Wu} and J. {Cheng} and S. {Li} and B. {Lei} and T. {Wang} and D. {Ni}},  
journal={IEEE Transactions on Cybernetics},   
title={FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks},   
year={2017},  
volume={47},  
number={5},  
pages={1336-1349},}