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Maxime Di Folco
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2020 – today
- 2024
- [c8]Josh Stein, Maxime Di Folco
, Julia A. Schnabel
Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI Segmentation. Bildverarbeitung für die Medizin 2024: 54-59 - [c7]Johannes Kiechle, Stefan M. Fischer, Daniel M. Lang, Maxime Di Folco, Sarah C. Foreman, Verena K. N. Rösner, Ann-Kathrin Lohse, Carolin Mogler, Carolin Knebel, Marcus R. Makowski, Klaus Woertler, Stephanie E. Combs, Alexandra S. Gersing, Jan C. Peeken, Julia A. Schnabel:
Unifying Local and Global Shape Descriptors to Grade Soft-Tissue Sarcomas Using Graph Convolutional Networks. ISBI 2024: 1-5 - [c6]Deniz Daum, Richard Osuala
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models. DGM4MICCAI@MICCAI 2024: 139-149 - [c5]Maxime Di Folco
Interpretable Representation Learning of Cardiac MRI via Attribute Regularization. MICCAI (10) 2024: 492-501 - [i5]Maxime Di Folco, Cosmin I. Bercea, Julia A. Schnabel:
Interpretable Representation Learning of Cardiac MRI via Attribute Regularization. CoRR abs/2406.08282 (2024) - [i4]Deniz Daum, Richard Osuala, Anneliese Riess, Georgios Kaissis, Julia A. Schnabel, Maxime Di Folco:
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models. CoRR abs/2407.16405 (2024) - 2023
- [c4]Maxime Di Folco, Thomas Dargent, Gabriel Bernardino, Patrick Clarysse
Which Anatomical Directions to Quantify Local Right Ventricular Strain in 3D Echocardiography? FIMH 2023: 607-615 - [c3]Josh Stein, Maxime Di Folco, Julia A. Schnabel:
Sparse Annotation Strategies for Segmentation of Short Axis Cardiac MRI. STACOM@MICCAI 2023: 66-76 - [i3]Josh Stein, Maxime Di Folco, Julia A. Schnabel:
Sparse annotation strategies for segmentation of short axis cardiac MRI. CoRR abs/2307.12619 (2023) - [i2]Maxime Di Folco, Cosmin I. Bercea, Julia A. Schnabel:
Attribute Regularized Soft Introspective Variational Autoencoder for Interpretable Cardiac Disease Classification. CoRR abs/2312.08915 (2023) - [i1]Josh Stein, Maxime Di Folco, Julia A. Schnabel:
Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI segmentation. CoRR abs/2312.08932 (2023) - 2022
- [j2]Maxime Di Folco, Pamela Moceri, Patrick Clarysse, Nicolas Duchateau:
Characterizing interactions between cardiac shape and deformation by non-linear manifold learning. Medical Image Anal. 75: 102278 (2022) - [j1]Maxime Di Folco, Pamela Moceri, Patrick Clarysse
Corrigendum to "Characterizing interactions between cardiac shape and deformation by non-linear manifold learning": Medical Image Analysis, volume 75 (2022), 102778. Medical Image Anal. 78: 102425 (2022) - 2021
- [b1]Maxime Di Folco:
Apprentissage statistique des interactions entre forme et déformation cardiaques. (Statistical learning of interactions between cardiac shape and deformation). INSA de Lyon, France, 2021 - [c2]Maxime Di Folco, Nicolas Guigui, Patrick Clarysse, Pamela Moceri, Nicolas Duchateau:
Investigation of the Impact of Normalization on the Study of Interactions Between Myocardial Shape and Deformation. FIMH 2021: 223-231
2010 – 2019
- 2019
- [c1]Maxime Di Folco, Patrick Clarysse
Learning Interactions Between Cardiac Shape and Deformation: Application to Pulmonary Hypertension. STACOM@MICCAI 2019: 119-127
Coauthor Index
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