Learning Interactions Between Cardiac Shape and Deformation: Application to Pulmonary Hypertension. - Maxime Di Folco; Patrick Clarysse; Pamela Moceri; Nicolas Duchateau (STACOM@MICCAI, 2019)

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 (FIMH, 2021)

Apprentissage statistique des interactions entre forme et déformation cardiaques. (Statistical learning of interactions between cardiac shape and deformation). - Maxime Di Folco (2021)

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)

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)

Which Anatomical Directions to Quantify Local Right Ventricular Strain in 3D Echocardiography? - Maxime Di Folco; Thomas Dargent; Gabriel Bernardino; Patrick Clarysse; Nicolas Duchateau (FIMH, 2023)

Sparse Annotation Strategies for Segmentation of Short Axis Cardiac MRI. - Josh Stein; Maxime Di Folco; Julia A. Schnabel (STACOM@MICCAI, 2023)

Attribute Regularized Soft Introspective Variational Autoencoder for Interpretable Cardiac Disease Classification. - Maxime Di Folco; Cosmin I. Bercea; Julia A. Schnabel (CoRR, 2023)

Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI Segmentation. - Josh Stein; Maxime Di Folco; Julia A. Schnabel (Bildverarbeitung für die Medizin, 2024)

Unifying Local and Global Shape Descriptors to Grade Soft-Tissue Sarcomas Using Graph Convolutional Networks. - Johannes Kiechle; Stefan M. Fischer; Daniel M. Lang 003; 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; et al. (ISBI, 2024)

On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models. - Deniz Daum; Richard Osuala; Anneliese Riess; Georgios Kaissis; Julia A. Schnabel; Maxime Di Folco (DGM4MICCAI@MICCAI, 2024)

Interpretable Representation Learning of Cardiac MRI via Attribute Regularization. - Maxime Di Folco; Cosmin I. Bercea; Emily Chan; Julia A. Schnabel (MICCAI (10), 2024)

Interpretable Representation Learning of Cardiac MRI via Attribute Regularization. - Maxime Di Folco; Cosmin I. Bercea; Julia A. Schnabel (CoRR, 2024)

High-dimensional multimodal uncertainty estimation by manifold alignment:Application to 3D right ventricular strain computations. - Maxime Di Folco; Gabriel Bernardino; Patrick Clarysse; Nicolas Duchateau (CoRR, 2025)

Semantic Alignment of Unimodal Medical Text and Vision Representations. - Maxime Di Folco; Emily Chan; Marta Hasny; Cosmin I. Bercea; Julia A. Schnabel (CoRR, 2025)

TGV: Tabular Data-Guided Learning of Visual Cardiac Representations. - Marta Hasny; Maxime Di Folco; Keno Bressem; Julia A. Schnabel (CoRR, 2025)