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Pascal Ceccaldi
Pascal Ceccaldi
Siemens Healthineers
Verified email at siemens-healthineers.com
Title
Cited by
Cited by
Year
Image standardization using generative adversarial networks
BL Odry, B Mailhe, MS Nadar, P Ceccaldi
US Patent 10,753,997, 2020
282020
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
252020
Protocol independent image processing with adversarial networks
P Ceccaldi, BL Odry, B Mailhe, MS Nadar
US Patent 10,624,558, 2020
242020
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
182020
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
152021
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
152019
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
112021
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
82022
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
72021
Deep reinforcement learning for recursive segmentation
P Ceccaldi, X Chen, B Mailhe, BL Odry, MS Nadar
US Patent 10,733,788, 2020
72020
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
42021
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
32020
Saliency mapping by feature reduction and perturbation modeling in medical imaging
Y Yoo, P Ceccaldi, E Gibson, MS Nadar
US Patent 11,263,744, 2022
22022
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
22020
Wasserstein GAN for motion artifact reduction of MR images
S Braun, P Ceccaldi, X Chen, B Odry, B Mailhe, M Nadar
ISMRM, Paris, 2018
22018
Protocol-aware tissue segmentation in medical imaging
M Mostapha, B Mailhe, MS Nadar, P Ceccaldi, Y Yoo
US Patent 11,783,484, 2023
12023
Protocol-aware tissue segmentation in medical imaging
M Mostapha, B Mailhe, MS Nadar, P Ceccaldi, Y Yoo
US Patent 11,783,485, 2023
12023
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
12023
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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