Maxime Di Folco

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Diffusion Models

Top Venues

Medical Image Anal.

Publications

Maxime Di Folco, Cosmin I. Bercea, Julia A. Schnabel
Interpretable Representation Learning of Cardiac MRI via Attribute Regularization. CoRR (2024)
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)
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 (2024)
Maxime Di Folco, Cosmin I. Bercea, Julia A. Schnabel
Attribute Regularized Soft Introspective Variational Autoencoder for Interpretable Cardiac Disease Classification. CoRR (2023)
Josh Stein, Maxime Di Folco, Julia A. Schnabel
Sparse Annotation Strategies for Segmentation of Short Axis Cardiac MRI. STACOM@MICCAI (2023)
Josh Stein, Maxime Di Folco, Julia A. Schnabel
Sparse annotation strategies for segmentation of short axis cardiac MRI. CoRR (2023)
Maxime Di Folco, Cosmin Bercea, Julia A. Schnabel
Attribute Regularized Soft Introspective VAE: Towards Cardiac Attribute Regularization Through MRI Domains. CoRR (2023)
Maxime Di Folco, Thomas Dargent, Gabriel Bernardino, Patrick Clarysse, Nicolas Duchateau
Which Anatomical Directions to Quantify Local Right Ventricular Strain in 3D Echocardiography? FIMH (2023)
Josh Stein, Maxime Di Folco, Julia A. Schnabel
Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI segmentation. CoRR (2023)
Maxime Di Folco, Pamela Moceri, Patrick Clarysse, Nicolas Duchateau
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 (2022)
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 (2022)
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)
Maxime Di Folco, Patrick Clarysse, Pamela Moceri, Nicolas Duchateau
Learning Interactions Between Cardiac Shape and Deformation: Application to Pulmonary Hypertension. STACOM@MICCAI (2019)