Arnaud Quillent

Hi!

I am Arnaud, a French research engineer in the field of deep learning applied to medical imaging.

I am currently working on digital breast tomosynthesis (DBT), an X-ray imaging modality dedicated to breast cancer screening.

Use this website to see my latest publications. You can also check out some GitHub repositories that I find interesting.

Selected publications

Conference

Efficient 3D Deep Learning for Joint DBT Reconstruction and Faithful Uncertainty Estimation: Preliminary Clinical Evaluation

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

In International Workshop on Breast Imaging (IWBI), 2026

Bib PDF

@inproceedings{quillent2026efficient3d,
  title = {Efficient 3D Deep Learning for Joint DBT Reconstruction and Faithful Uncertainty Estimation: Preliminary Clinical Evaluation},
  author = {Quillent, Arnaud and Bismuth, Vincent J. and Bloch, Isabelle and Kervazo, Christophe and Ladjal, Saïd},
  booktitle = {International Workshop on Breast Imaging (IWBI)},
  address = {Thessaloniki, Greece},
  year = {2026},
  url = {https://hal.science/hal-05654379}
}

Thesis

Role of deep learning into three-dimensional reconstruction for breast tomosynthesis

Arnaud Quillent

Télécom Paris – Institut Polytechnique de Paris, 2025

Bib PDF

@phdthesis{quillent:tel-05095928,
  title = {Role of deep learning into three-dimensional reconstruction for breast tomosynthesis},
  author = {Quillent, Arnaud},
  url = {https://theses.hal.science/tel-05095928},
  number = {2025IPPAT012},
  school = {Télécom Paris -- Institut Polytechnique de Paris},
  year = {2025},
  hal_id = {tel-05095928}
}

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}
}

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}
}

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}
}