| Image standardization using generative adversarial networks BL Odry, B Mailhe, MS Nadar, P Ceccaldi US Patent 10,753,997, 2020 | 31 | 2020 |
| Motion artifact reduction of magnetic resonance images with an adversarial trained network S Braun, B Mailhe, X Chen, BL Odry, P Ceccaldi, MS Nadar US Patent 10,698,063, 2020 | 29 | 2020 |
| Protocol independent image processing with adversarial networks P Ceccaldi, BL Odry, B Mailhe, MS Nadar US Patent 10,624,558, 2020 | 26 | 2020 |
| Artifact reduction by image-to-image network in magnetic resonance imaging X Chen, B Mailhe, BL Odry, P Ceccaldi, MS Nadar US Patent 10,852,379, 2020 | 21 | 2020 |
| Automated detection of critical findings in multi-parametric brain MRI using a system of 3D neural networks K Nael, E Gibson, C Yang, P Ceccaldi, Y Yoo, J Das, A Doshi, ... Scientific reports 11 (1), 6876, 2021 | 18 | 2021 |
| Training deep networks on domain randomized synthetic X-ray data for cardiac interventions D Toth, S Cimen, P Ceccaldi, T Kurzendorfer, K Rhode, P Mountney International Conference on Medical Imaging with Deep Learning, 468-482, 2019 | 15 | 2019 |
| Evaluating deep learning methods in detecting and segmenting different sizes of brain metastases on 3D post-contrast T1-weighted images Y Yoo, P Ceccaldi, S Liu, TJ Re, Y Cao, JM Balter, E Gibson Journal of Medical Imaging 8 (3), 037001-037001, 2021 | 12 | 2021 |
| Artificial intelligence with statistical confidence scores for detection of acute or subacute hemorrhage on noncontrast CT head scans E Gibson, B Georgescu, P Ceccaldi, PH Trigan, Y Yoo, J Das, TJ Re, V Rs, ... Radiology: Artificial Intelligence 4 (3), e210115, 2022 | 9 | 2022 |
| Protocol-aware tissue segmentation in medical imaging M Mostapha, B Mailhe, MS Nadar, P Ceccaldi, Y Yoo US Patent 11,288,806, 2022 | 9 | 2022 |
| GAMER MRI: Gated-attention mechanism ranking of multi-contrast MRI in brain pathology PJ Lu, Y Yoo, R Rahmanzadeh, R Galbusera, M Weigel, P Ceccaldi, ... NeuroImage: Clinical 29, 102522, 2021 | 7 | 2021 |
| Deep reinforcement learning for recursive segmentation P Ceccaldi, X Chen, B Mailhe, BL Odry, MS Nadar US Patent 10,733,788, 2020 | 7 | 2020 |
| Method and system for generating a confidence score using deep learning model P Ceccaldi, P Mountney, D Toth, S Cimen US Patent 10,997,717, 2021 | 5 | 2021 |
| Method, learning apparatus, and medical imaging apparatus for registration of images P Ceccaldi, T Kurzendorfer, T Mansi, P Mountney, S Piat, D Toth US Patent 10,832,392, 2020 | 5 | 2020 |
| Braided Networks for Scan-Aware MRI Brain Tissue Segmentation M Mostapha, B Mailhe, X Chen, P Ceccaldi, Y Yoo, M Nadar, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 136-139, 2020 | 2 | 2020 |
| Wasserstein GAN for motion artifact reduction of MR images S Braun, P Ceccaldi, X Chen, B Odry, B Mailhe, M Nadar ISMRM, Paris, 2018 | 2 | 2018 |
| Protocol-aware tissue segmentation in medical imaging M Mostapha, B Mailhe, MS Nadar, P Ceccaldi, Y Yoo US Patent 11,783,484, 2023 | 1 | 2023 |
| Protocol-aware tissue segmentation in medical imaging M Mostapha, B Mailhe, MS Nadar, P Ceccaldi, Y Yoo US Patent 11,783,485, 2023 | 1 | 2023 |
| Automatic detection of lesions in medical images using 2D and 3D deep learning networks Y Yoo, P Ceccaldi, E Gibson US Patent 11,776,128, 2023 | 1 | 2023 |
| Automated estimation of midline shift in brain ct images N Nguyen, Y Yoo, P Ceccaldi, E Gibson, A Chekkoury US Patent 11,861,828, 2024 | | 2024 |
| Machine learning for automatic detection of intracranial hemorrhages with uncertainty measures from ct images E Gibson, B Georgescu, P Ceccaldi, Y Yoo, J Das, T Re, E Eibenberger, ... US Patent App. 17/249,783, 2022 | | 2022 |
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