Pietro Gori
Pietro Gori
Télécom Paris (IPParis)
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Cited by
Cited by
Knowledge distillation from multi-modal to mono-modal segmentation networks
M Hu, M Maillard, Y Zhang, T Ciceri, G La Barbera, I Bloch, P Gori
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Clinica: An open-source software platform for reproducible clinical neuroscience studies
A Routier, N Burgos, M Díaz, M Bacci, S Bottani, O El-Rifai, S Fontanella, ...
Frontiers in Neuroinformatics 15, 689675, 2021
Contrastive learning with continuous proxy meta-data for 3D MRI classification
B Dufumier, P Gori, J Victor, A Grigis, M Wessa, P Brambilla, P Favre, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Comprehensive review of 3D segmentation software tools for MRI usable for pelvic surgery planning
A Virzì, CO Muller, JB Marret, E Mille, L Berteloot, D Grévent, N Boddaert, ...
Journal of digital imaging 33 (1), 99-110, 2020
MRI atlas of IDH wild-type supratentorial glioblastoma: probabilistic maps of phenotype, management, and outcomes
A Roux, P Roca, M Edjlali, K Sato, M Zanello, E Dezamis, P Gori, S Lion, ...
Radiology 293 (3), 633-643, 2019
Bayesian atlas estimation for the variability analysis of shape complexes
P Gori, O Colliot, Y Worbe, L Marrakchi-Kacem, S Lecomte, C Poupon, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013
A Bayesian framework for joint morphometry of surface and curve meshes in multi-object complexes
P Gori, O Colliot, L Marrakchi-Kacem, Y Worbe, C Poupon, A Hartmann, ...
Medical image analysis 35, 458-474, 2017
Parsimonious approximation of streamline trajectories in white matter fiber bundles
P Gori, O Colliot, L Marrakchi-Kacem, Y Worbe, FDV Fallani, M Chavez, ...
IEEE transactions on medical imaging 35 (12), 2609-2619, 2016
Fast and scalable optimal transport for brain tractograms
J Feydy, P Roussillon, A Trouvé, P Gori
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning
B Dufumier, P Gori, I Battaglia, J Victor, A Grigis, E Duchesnay
arXiv preprint arXiv:2106.01132, 2021
Fidelity metrics between curves and surfaces: currents, varifolds, and normal cycles
N Charon, B Charlier, J Glaunès, P Gori, P Roussillon
Riemannian geometric statistics in medical image analysis, 441-477, 2020
Ca-gan: Weakly supervised color aware gan for controllable makeup transfer
R Kips, P Gori, M Perrot, I Bloch
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
Unbiased supervised contrastive learning
CA Barbano, B Dufumier, E Tartaglione, M Grangetto, P Gori
International Conference on Learning Representations (ICLR), 2022
Comparison of distances for supervised segmentation of white matter tractography
E Olivetti, G Berto, P Gori, N Sharmin, P Avesani
2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2017
Evaluation of morphometric descriptors of deep brain structures for the automatic classification of patients with Alzheimer’s disease, mild cognitive impairment and elderly …
A Routier, P Gori, ABG Fouquier, S Lecomte, O Colliot, S Durrleman
MICCAI Workshop, 8, 2014
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
B Dufumier, P Gori, J Victor, A Grigis, E Duchesnay
MedNeurIPS, 2021
Anatomically constrained CT image translation for heterogeneous blood vessel segmentation
G La Barbera, H Boussaid, F Maso, S Sarnacki, L Rouet, P Gori, I Bloch
BMVC, 2022
A deep residual learning implementation of metamorphosis
M Maillard, A François, J Glaunès, I Bloch, P Gori
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022
Metamorphic image registration using a semi-Lagrangian scheme
A François, P Gori, J Glaunès
Geometric Science of Information: 5th International Conference, GSI 2021 …, 2021
Segmentation of pelvic vessels in pediatric MRI using a patch-based deep learning approach
A Virzi, P Gori, CO Muller, E Mille, Q Peyrot, L Berteloot, N Boddaert, ...
Data Driven Treatment Response Assessment and Preterm, Perinatal, and …, 2018
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