Maxime Di Folco

According to our database, Maxime Di Folco authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI Segmentation.

Josh Stein, Maxime Di Folco, Julia A. Schnabel

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Attribute Regularized Soft Introspective Variational Autoencoder for Interpretable Cardiac Disease Classification.

Maxime Di Folco, Cosmin I. Bercea, Julia A. Schnabel

CoRR, 2023

Sparse Annotation Strategies for Segmentation of Short Axis Cardiac MRI.

Josh Stein, Maxime Di Folco, Julia A. Schnabel

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Which Anatomical Directions to Quantify Local Right Ventricular Strain in 3D Echocardiography?

Maxime Di Folco, Thomas Dargent, Gabriel Bernardino, Patrick Clarysse, Nicolas Duchateau

Proceedings of the Functional Imaging and Modeling of the Heart, 2023

2022

Corrigendum to "Characterizing interactions between cardiac shape and deformation by non-linear manifold learning": Medical Image Analysis, volume 75 (2022), 102778.

Maxime Di Folco, Pamela Moceri, Patrick Clarysse, Nicolas Duchateau

Medical Image Anal., 2022

Characterizing interactions between cardiac shape and deformation by non-linear manifold learning.

Maxime Di Folco, Pamela Moceri, Patrick Clarysse, Nicolas Duchateau

Medical Image Anal., 2022

2021

Apprentissage statistique des interactions entre forme et déformation cardiaques. (Statistical learning of interactions between cardiac shape and deformation).

Maxime Di Folco

PhD thesis, 2021

Investigation of the Impact of Normalization on the Study of Interactions Between Myocardial Shape and Deformation.

Maxime Di Folco, Nicolas Guigui, Patrick Clarysse, Pamela Moceri, Nicolas Duchateau

Proceedings of the Functional Imaging and Modeling of the Heart, 2021

2019

Learning Interactions Between Cardiac Shape and Deformation: Application to Pulmonary Hypertension.

Maxime Di Folco, Patrick Clarysse, Pamela Moceri, Nicolas Duchateau

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019