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qurit-frizi authored Oct 9, 2024
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91 changes: 39 additions & 52 deletions Paper/paper.bib
Original file line number Diff line number Diff line change
@@ -1,4 +1,26 @@
@article{Fedorov2012,
@article{Anderson2021-fp,
title = "Simple Python Module for Conversions Between {DICOM} Images and Radiation Therapy Structures, Masks, and Prediction Arrays",
author = {Anderson, Brian M and Wahid, Kareem A and Brock, Kristy K},
journal = {Pract. Radiat. Oncol.},
publisher = {Elsevier},
volume = {11},
number = {3},
pages = {226--229},
month = {Feb},
year = {2021},
language = {en},
doi = {10.1016/j.prro.2021.02.003}
}

@misc{Creators_The_MONAI_Consortium_undated-or,
title = {Project {MONAI}},
author = {{Creators The MONAI Consortium}},
doi = {10.48550/arXiv.2211.02701},
year = {2022},
url = {https://arxiv.org/abs/2211.02701}
}

@article{Fedorov2012-ax,
title = "{3D} Slicer as an image computing platform for the Quantitative Imaging Network",
author = {Fedorov, Andriy and Beichel, Reinhard and Kalpathy-Cramer, Jayashree and Finet, Julien and Fillion-Robin, Jean-Christophe and Pujol, Sonia and Bauer, Christian and Jennings, Dominique and Fennessy, Fiona and Sonka, Milan and Buatti, John and Aylward, Stephen and Miller, James V and Pieper, Steve and Kikinis, Ron},
journal = {Magn. Reson. Imaging},
Expand All @@ -12,15 +34,21 @@ @article{Fedorov2012
doi = {10.1016/j.mri.2012.05.001}
}

@misc{Creators_The_MONAI_Consortium,
title = {Project {MONAI}},
author = {{Creators The MONAI Consortium}},
doi = {10.48550/arXiv.2211.02701},
year = {2022},
url = {https://arxiv.org/abs/2211.02701}
@article{Nioche2018-ct,
title = "{LIFEx}: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity",
author = {Nioche, Christophe and Orlhac, Fanny and Boughdad, Sarah and Reuz{\'e}, Sylvain and Goya-Outi, Jessica and Robert, Charlotte and Pellot-Barakat, Claire and Soussan, Michael and Frouin, Fr{\'e}d{\'e}rique and Buvat, Ir{\`e}ne},
journal = {Cancer Res.},
publisher = {AACR},
volume = {78},
number = {16},
pages = {4786--4789},
month = {Aug},
year = {2018},
language = {en},
doi = {10.1158/0008-5472.can-18-0125}
}

@article{Perez-Garcia2021,
@article{Perez-Garcia2021-jf,
title = "{TorchIO}: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning",
author = {P{\'e}rez-Garc{\'i}a, Fernando and Sparks, Rachel and Ourselin, S{\'e}bastien},
journal = {Comput. Methods Programs Biomed.},
Expand All @@ -34,21 +62,7 @@ @article{Perez-Garcia2021
doi = {10.1016/j.cmpb.2021.106236}
}

@article{Anderson2021,
title = "Simple Python Module for Conversions Between {DICOM} Images and Radiation Therapy Structures, Masks, and Prediction Arrays",
author = {Anderson, Brian M and Wahid, Kareem A and Brock, Kristy K},
journal = {Pract. Radiat. Oncol.},
publisher = {Elsevier},
volume = {11},
number = {3},
pages = {226--229},
month = {Feb},
year = {2021},
language = {en},
doi = {10.1016/j.prro.2021.02.003}
}

@article{Rufenacht2023,
@article{Rufenacht2023-as,
title = {PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion},
author = {R{\"u}fenacht, Elias and Kamath, Amit and Suter, Yannick and Poel, Robert and Ermi, {\"O}mer},
journal = {Journal of Open Source Software},
Expand All @@ -59,7 +73,7 @@ @article{Rufenacht2023
doi = {10.21105/joss.04675}
}

@article{Whybra2023,
@article{Whybra2023-en,
title = "Sensitivity of standardised radiomics algorithms to mask generation across different software platforms",
author = {Whybra, Philip and Spezi, Emiliano},
journal = {Sci. Rep.},
Expand All @@ -72,34 +86,7 @@ @article{Whybra2023
doi = {10.1038/s41598-023-41475-w}
}

@article{Zwanenburg2020,
title = {The Image Biomarker Standardisation Initiative: Standardised Quantitative Radiomics for High-Throughput Image-based Phenotyping},
author = {Zwanenburg, Alex and Valli{\`e}res, Martin and Abdalah, Mohamed A and Aerts, Hugo J W L and Andrearczyk, Vincent and Apte, Aditya and Ashrafinia, Shima and Bakas, Spyridon and Beukinga, Renger J and Boellaard, Ronald and Bogowicz, Margarita and Boldrini, Laura and Buvat, Ir{\`e}ne and Cook, Gary and Davatzikos, Christos and Depeursinge, Adrien and Desseroit, Marie-Claire and Dunet, Vincent and Echegaray, Santiago and El Naqa, Issam and Fave, Xenia and F{\"o}rster, Mathieu and Goh, Vicky and G{\"o}nen, Mehmet and Gollub, Marc and Grossmann, Patrick and Hakimi, Adam A and Hatt, Mathieu and Isensee, Fabian and Lambin, Philippe and Lee, Jeongjin and Leijenaar, Ralph T H and Liptrot, Matthew G and Losnegard, Are and Maier-Hein, Klaus H and Morin, Olivier and Mountz, James M and Nioche, Christophe and Orlhac, Fanny and Peet, Andrew W and Rao, Arvind and Scherer, Daniel and Schleiermacher, Geraldine and Schmidt-Richberg, Alexander and Schoemaker, Matthew and Shafiq-ul Hassan, Muhammad and Siegel, Eliot L and Silva, Mariana and Sousa, Joana and Traverso, Alberto and De Umbrajkar, Mahesh and Valentine, James W and van Griethuysen, Joost J M and Walsh, Sarah and Welk, Alexandra and Wilhelm, Christoph and Wright, Katia L and Yip, Stephen S F and Zeng, Jin and Fennessy, Fiona M and Mak, Raymond H and Pfaehler, Erik and Baessler, Benjamin},
journal = {Radiology},
volume = {295},
number = {2},
pages = {328--338},
month = {May},
year = {2020},
language = {en},
doi = {10.1148/radiol.2020191145}
}

@article{Nioche2018,
title = "{LIFEx}: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity",
author = {Nioche, Christophe and Orlhac, Fanny and Boughdad, Sarah and Reuz{\'e}, Sylvain and Goya-Outi, Jessica and Robert, Charlotte and Pellot-Barakat, Claire and Soussan, Michael and Frouin, Fr{\'e}d{\'e}rique and Buvat, Ir{\`e}ne},
journal = {Cancer Res.},
publisher = {AACR},
volume = {78},
number = {16},
pages = {4786--4789},
month = {Aug},
year = {2018},
language = {en},
doi = {10.1158/0008-5472.can-18-0125}
}

@article{Yousefirizi2024,
@article{Yousefirizi2023-ax,
title = {From code sharing to sharing of implementations: Advancing reproducible AI development for medical imaging through federated testing},
journal = {Journal of Medical Imaging and Radiation Sciences},
volume = {55},
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