Characterizing interactions between cardiac shape and deformation by non-linear manifold learning M Di Folco, P Moceri, P Clarysse, N Duchateau Medical Image Analysis 75, 102278, 2022 | 11 | 2022 |
Learning interactions between cardiac shape and deformation: application to pulmonary hypertension M Di Folco, P Clarysse, P Moceri, N Duchateau International Workshop on Statistical Atlases and Computational Models of …, 2019 | 6 | 2019 |
Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI Segmentation J Stein, M Di Folco, JA Schnabel BVM Workshop, 54-59, 2024 | 3 | 2024 |
Investigation of the impact of normalization on the study of interactions between myocardial shape and deformation M Di Folco, N Guigui, P Clarysse, P Moceri, N Duchateau International Conference on Functional Imaging and Modeling of the Heart …, 2021 | 3 | 2021 |
Sparse annotation strategies for segmentation of short axis cardiac MRI J Stein, M Di Folco, JA Schnabel International Workshop on Statistical Atlases and Computational Models of …, 2023 | 1 | 2023 |
Interpretable Representation Learning of Cardiac MRI via Attribute Regularization M Di Folco, CI Bercea, E Chan, JA Schnabel International Conference on Medical Image Computing and Computer-Assisted …, 2024 | | 2024 |
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models D Daum, R Osuala, A Riess, G Kaissis, JA Schnabel, M Di Folco arXiv preprint arXiv:2407.16405, 2024 | | 2024 |
Unifying Local and Global Shape Descriptors to Grade Soft-Tissue Sarcomas Using Graph Convolutional Networks J Kiechle, SM Fischer, DM Lang, M Di Folco, SC Foreman, VKN Rösner, ... 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | | 2024 |
Attribute Regularized Soft Introspective Variational Autoencoder for Interpretable Cardiac Disease Classification M Di Folco, CI Bercea, JA Schnabel arXiv preprint arXiv:2312.08915, 2023 | | 2023 |
Attribute Regularized Soft Introspective VAE: Towards Cardiac Attribute Regularization Through MRI Domains M Di Folco, C Bercea, JA Schnabel arXiv preprint arXiv:2307.12618, 2023 | | 2023 |
Which anatomical directions to quantify local right ventricular strain in 3D echocardiography? M Di Folco, T Dargent, G Bernardino, P Clarysse, N Duchateau International Conference on Functional Imaging and Modeling of the Heart …, 2023 | | 2023 |
Corrigendum to" Characterizing interactions between cardiac shape and deformation by non-linear manifold learning": Medical Image Analysis, volume 75 (2022), 102778. M Di Folco, P Moceri, P Clarysse, N Duchateau Medical Image Analysis 78, 102425-102425, 2022 | | 2022 |
Apprentissage statistique des interactions entre forme et déformation cardiaques M Di Folco Université de Lyon, 2021 | | 2021 |
Apprentissage statistique des interactions entre forme et déformation cardiaques| Theses. fr M Di Folco Lyon, 2021 | | 2021 |
Caractérisation statistique de l'infarctus du myocarde pour la personnalisation de modèles géométriques de lésions M Di Folco, N Duchateau, M Viallon, P Croisille, P Clarysse Congrès National d’Imagerie du Vivant, 2019 | | 2019 |
On Differentially Private 3D Medical Image Synthesis with Controllable Latent G Kaissis, JA Schnabel, M Di Folco Deep Generative Models: 4th MICCAI Workshop, DGM4MICCAI 2024, Held in …, 0 | | |