| Generative adversarial networks improve the reproducibility and discriminative power of radiomic features | Radiology. Artificial Intelligence |  | | 2020 | 200 | 343 |
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| Differentiating kidney stones from phleboliths in unenhanced low-dose computed tomography using radiomics and machine learning | European Radiology |  | | 2019 | 301 | 0 |
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| Metallic artifact reduction by evaluation of the additional value of iterative reconstruction algorithms in hip prosthesis computed tomography imaging | Medicine (Baltimore) | | | 2019 | 294 | 248 |
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| Emphysema quantification using hybrid versus model-based generations of iterative reconstruction: SAFIRE versus ADMIRE | Medicine (Baltimore) | | | 2019 | 347 | 215 |
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| Noninvasive pulmonary nodule characterization using transcutaneous bioconductance: Preliminary results of an observational study | Medicine (Baltimore) | | | 2018 | 428 | 346 |
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| Radiological findings of complications after lung transplantation | Insights into Imaging | | | 2018 | 581 | 192 |
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| Iterative Algorithms Applied to Treated Intracranial Aneurysms | Clinical Neuroradiology | | | 2018 | 502 | 1 |
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| Impact des reconstructions itératives sur la quantification de l'emphysème pulmonaire par CT scanner | | | | 2017 | 683 | 233 |
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| Impact of iterative reconstructions on objective and subjective emphysema assessment with computed tomography: a prospective study | European radiology | | | 2017 | 561 | 1 |
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