Publications

2024

1. Journal

   Using machine learning on MRI radiomics to diagnose parotid tumours before comparing performance with radiologists: a pilot study

   Samy Ammari, Arnaud Quillent, Víctor Elvira, François Bidault, Gabriel C. T. E. Garcia, and 4 more authors

   Journal of Imaging Informatics in Medicine, 2024

   Bib PDF

   @article{ammariUsingMachineLearning2024,
     title = {Using machine learning on MRI radiomics to diagnose parotid tumours before comparing performance with radiologists: a pilot study},
     author = {Ammari, Samy and Quillent, Arnaud and Elvira, Víctor and Bidault, François and Garcia, Gabriel C. T. E. and Hartl, Dana M. and Balleyguier, Corinne and Lassau, Nathalie and Chouzenoux, Émilie},
     year = {2024},
     journal = {Journal of Imaging Informatics in Medicine},
     doi = {10.1007/s10278-024-01255-y}
   }

2. Conference

   Deep-learning uncertainty estimation for data-consistent breast tomosynthesis reconstruction

   Arnaud Quillent, Vincent J. Bismuth, Isabelle Bloch, Christophe Kervazo, and Saïd Ladjal

   In IEEE International Symposium on Biomedical Imaging (ISBI), 2024

   Bib PDF

   @inproceedings{quillent2024deeplearning,
     title = {Deep-learning uncertainty estimation for data-consistent breast tomosynthesis reconstruction},
     author = {Quillent, Arnaud and Bismuth, Vincent J. and Bloch, Isabelle and Kervazo, Christophe and Ladjal, Saïd},
     booktitle = {IEEE International Symposium on Biomedical Imaging (ISBI)},
     address = {Athens, Greece},
     year = {2024},
     url = {https://hal.science/hal-04598329}
   }

2023

1. Conference

   A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction

   Arnaud Quillent, Vincent J. Bismuth, Isabelle Bloch, Christophe Kervazo, and Saïd Ladjal

   In Medical Imaging with Deep Learning (MIDL), 2023

   Bib PDF

   @inproceedings{quillent2023deep,
     title = {A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction},
     author = {Quillent, Arnaud and Bismuth, Vincent J. and Bloch, Isabelle and Kervazo, Christophe and Ladjal, Saïd},
     booktitle = {Medical Imaging with Deep Learning (MIDL)},
     address = {Nashville, USA},
     year = {2023},
     url = {https://openreview.net/forum?id=xcMTcyk2v69}
   }

2. Conference

   Machine-learning based guided diagnosis of parotid tumours from MRI

   Arnaud Quillent, Samy Ammari, Émilie Chouzenoux, Víctor Elvira, and Nathalie Lassau

   In IEEE International Symposium on Biomedical Imaging (ISBI), 2023

   Bib PDF

   @inproceedings{quillent2023machine,
     title = {Machine-learning based guided diagnosis of parotid tumours from MRI},
     author = {Quillent, Arnaud and Ammari, Samy and Chouzenoux, Émilie and Elvira, Víctor and Lassau, Nathalie},
     url = {https://inria.hal.science/hal-04407914},
     booktitle = {IEEE International Symposium on Biomedical Imaging (ISBI)},
     address = {Cartagena, Colombia},
     year = {2023},
   }

2022

1. Journal

   Radiomics-based method for predicting the glioma subtype as defined by tumor grade, IDH mutation, and 1p/19q codeletion

   Yingping Li, Samy Ammari, Littisha Lawrance, Arnaud Quillent, Tarek Assi, and 2 more authors

   Cancers, 2022

   Bib PDF

   @article{li2022radiomics,
     title = {Radiomics-based method for predicting the glioma subtype as defined by tumor grade, IDH mutation, and 1p/19q codeletion},
     author = {Li, Yingping and Ammari, Samy and Lawrance, Littisha and Quillent, Arnaud and Assi, Tarek and Lassau, Nathalie and Chouzenoux, Émilie},
     journal = {Cancers},
     volume = {14},
     number = {7},
     pages = {1778},
     year = {2022},
     publisher = {MDPI}
   }

2021

1. Journal

   Machine-learning-based radiomics MRI model for survival prediction of recurrent glioblastomas treated with bevacizumab

   Samy Ammari, Raoul Sallé de Chou, Tarek Assi, Mehdi Touat, Émilie Chouzenoux, and 11 more authors

   Diagnostics, 2021

   Bib PDF

   @article{ammari2021machine,
     title = {Machine-learning-based radiomics MRI model for survival prediction of recurrent glioblastomas treated with bevacizumab},
     author = {Ammari, Samy and {Sallé de Chou}, Raoul and Assi, Tarek and Touat, Mehdi and Chouzenoux, Émilie and Quillent, Arnaud and Limkin, Elaine and Dercle, Laurent and Hadchiti, Joya and Elhaik, Mickael and Salma, Moalla and Mohamed, Khettab and Corinne, Balleyguier and Nathalie, Lassau and Sarah, Dumont and Cristina, Smolenschi},
     journal = {Diagnostics},
     volume = {11},
     number = {7},
     pages = {1263},
     year = {2021},
     publisher = {MDPI}
   }

2. Journal

   A predictive clinical-radiomics nomogram for survival prediction of glioblastoma using MRI

   Samy Ammari, Raoul Sallé de Chou, Corinne Balleyguier, Emilie Chouzenoux, Mehdi Touat, and 10 more authors

   Diagnostics, 2021

   Bib PDF

   @article{ammari2021predictive,
     title = {A predictive clinical-radiomics nomogram for survival prediction of glioblastoma using MRI},
     author = {Ammari, Samy and {Sallé de Chou}, Raoul and Balleyguier, Corinne and Chouzenoux, Emilie and Touat, Mehdi and Quillent, Arnaud and Dumont, Sarah and Bockel, Sophie and Garcia, Gabriel CTE and Elhaik, Mickael and Bidault, Francois and Valentin, Borget and Nathalie, Lassau and Mohamed, Khettab and Tarek, Assi},
     journal = {Diagnostics},
     volume = {11},
     number = {11},
     pages = {2043},
     year = {2021},
     publisher = {MDPI}
   }