Maxime Di Folco

22 papers Journal 13Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Measuring and Aligning Abstraction in Vision-Language Models with Medical Taxonomies.
CoRR
Ben Schaper, Maxime Di Folco, Bernhard Kainz, Julia A. Schnabel, Cosmin I. Bercea
2025 J jnl
Covariance Descriptors Meet General Vision Encoders: Riemannian Deep Learning for Medical Image Classification.
CoRR
Josef Mayr, Anna Reithmeir, Maxime Di Folco, Julia A. Schnabel
2025 J jnl
High-dimensional multimodal uncertainty estimation by manifold alignment:Application to 3D right ventricular strain computations.
CoRR
Maxime Di Folco, Gabriel Bernardino, Patrick Clarysse, Nicolas Duchateau
2025 J jnl
No Data? No Problem: Robust Vision-Tabular Learning with Missing Values.
CoRR
Marta Hasny, Laura Daza, Keno Bressem, Maxime Di Folco, Julia A. Schnabel
2025 J jnl
Semantic Alignment of Unimodal Medical Text and Vision Representations.
CoRR
Maxime Di Folco, Emily Chan, Marta Hasny, Cosmin I. Bercea, Julia A. Schnabel
2025 J jnl
TGV: Tabular Data-Guided Learning of Visual Cardiac Representations.
CoRR
Marta Hasny, Maxime Di Folco, Keno Bressem, Julia A. Schnabel
2024 — conf
Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI Segmentation.
Bildverarbeitung für die Medizin
Josh Stein, Maxime Di Folco, Julia A. Schnabel
2024 — conf
Interpretable Representation Learning of Cardiac MRI via Attribute Regularization.
MICCAI (10)
Maxime Di Folco, Cosmin I. Bercea, Emily Chan, Julia A. Schnabel
2024 J jnl
Interpretable Representation Learning of Cardiac MRI via Attribute Regularization.
CoRR
Maxime Di Folco, Cosmin I. Bercea, Julia A. Schnabel
2024 — conf
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models.
DGM4MICCAI@MICCAI
Deniz Daum, Richard Osuala, Anneliese Riess, Georgios Kaissis, Julia A. Schnabel, Maxime Di Folco
2024 J jnl
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models.
CoRR
Deniz Daum, Richard Osuala, Anneliese Riess, Georgios Kaissis, Julia A. Schnabel, Maxime Di Folco
2024 — conf
Unifying Local and Global Shape Descriptors to Grade Soft-Tissue Sarcomas Using Graph Convolutional Networks.
ISBI
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
2023 J jnl
Attribute Regularized Soft Introspective Variational Autoencoder for Interpretable Cardiac Disease Classification.
CoRR
Maxime Di Folco, Cosmin I. Bercea, Julia A. Schnabel
2023 J jnl
Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI segmentation.
CoRR
Josh Stein, Maxime Di Folco, Julia A. Schnabel
2023 — conf
Sparse Annotation Strategies for Segmentation of Short Axis Cardiac MRI.
STACOM@MICCAI
Josh Stein, Maxime Di Folco, Julia A. Schnabel
2023 J jnl
Sparse annotation strategies for segmentation of short axis cardiac MRI.
CoRR
Josh Stein, Maxime Di Folco, Julia A. Schnabel
2023 — conf
Which Anatomical Directions to Quantify Local Right Ventricular Strain in 3D Echocardiography?
FIMH
Maxime Di Folco, Thomas Dargent, Gabriel Bernardino, Patrick Clarysse, Nicolas Duchateau
2022 J jnl
Characterizing interactions between cardiac shape and deformation by non-linear manifold learning.
Medical Image Anal.
Maxime Di Folco, Pamela Moceri, Patrick Clarysse, Nicolas Duchateau
2022 J jnl
Corrigendum to "Characterizing interactions between cardiac shape and deformation by non-linear manifold learning": Medical Image Analysis, volume 75 (2022), 102778.
Medical Image Anal.
Maxime Di Folco, Pamela Moceri, Patrick Clarysse, Nicolas Duchateau
2021 — —
Apprentissage statistique des interactions entre forme et déformation cardiaques. (Statistical learning of interactions between cardiac shape and deformation).
Maxime Di Folco
2021 — conf
Investigation of the Impact of Normalization on the Study of Interactions Between Myocardial Shape and Deformation.
FIMH
Maxime Di Folco, Nicolas Guigui, Patrick Clarysse, Pamela Moceri, Nicolas Duchateau
2019 — conf
Learning Interactions Between Cardiac Shape and Deformation: Application to Pulmonary Hypertension.
STACOM@MICCAI
Maxime Di Folco, Patrick Clarysse, Pamela Moceri, Nicolas Duchateau