Maxime Di Folco

According to our database, Maxime Di Folco authored at least 20 papers between 2019 and 2026.

Collaborative distances:

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

2026

Tables Guide Vision: Learning to See the Heart through Tabular Data.

Marta Hasny, Maxime Di Folco, Keno Bressem, Julia A. Schnabel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Measuring and Aligning Abstraction in Vision-Language Models with Medical Taxonomies.

Ben Schaper, Maxime Di Folco, Bernhard Kainz, Julia A. Schnabel, Cosmin I. Bercea

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Covariance Descriptors Meet General Vision Encoders: Riemannian Deep Learning for Medical Image Classification.

Josef Mayr, Anna Reithmeir, Maxime Di Folco, Julia A. Schnabel

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

No Data? No Problem: Robust Vision-Tabular Learning with Missing Values.

Marta Hasny, Laura Daza, Keno Bressem, Maxime Di Folco, Julia A. Schnabel

CoRR, December, 2025

TGV: Tabular Data-Guided Learning of Visual Cardiac Representations.

Marta Hasny, Maxime Di Folco, Keno Bressem, Julia A. Schnabel

CoRR, March, 2025

Semantic Alignment of Unimodal Medical Text and Vision Representations.

Maxime Di Folco, Emily Chan, Marta Hasny, Cosmin I. Bercea, Julia A. Schnabel

CoRR, March, 2025

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, January, 2025

2024

Interpretable Representation Learning of Cardiac MRI via Attribute Regularization.

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

CoRR, 2024

Interpretable Representation Learning of Cardiac MRI via Attribute Regularization.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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

Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024

Unifying Local and Global Shape Descriptors to Grade Soft-Tissue Sarcomas Using Graph Convolutional Networks.

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 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