Parallel Transport in Shape Analysis: A Scalable Numerical Scheme. - Maxime Louis; Alexandre Bône; Benjamin Charlier; Stanley Durrleman (GSI, 2017)

Prediction of the Progression of Subcortical Brain Structures in Alzheimer's Disease from Baseline. - Alexandre Bône; Maxime Louis; Alexandre Routier; Jorge Samper-González; Michael Bacci; Benjamin Charlier; Olivier Colliot; Stanley Durrleman (GRAIL/MFCA/MICGen@MICCAI, 2017)

Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms. - Alexandre Bône; Olivier Colliot; Stanley Durrleman (CVPR, 2018)

Deformetrica 4: An Open-Source Software for Statistical Shape Analysis. - Alexandre Bône; Maxime Louis; Benoît Martin; Stanley Durrleman (ShapeMI@MICCAI, 2018)

Auto-Encoding Meshes of any Topology with the Current-Splatting and Exponentiation Layers. - Alexandre Bône; Olivier Colliot; Stanley Durrleman (ICCV Workshops, 2019)

Learning Low-Dimensional Representations of Shape Data Sets with Diffeomorphic Autoencoders. - Alexandre Bône; Maxime Louis; Olivier Colliot; Stanley Durrleman (IPMI, 2019)

Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories. - Vianney Debavelaere; Alexandre Bône; Stanley Durrleman; Stéphanie Allassonnière (MICCAI (4), 2019)

Learning Joint Shape and Appearance Representations with Metamorphic Auto-Encoders. - Alexandre Bône; Paul Vernhet; Olivier Colliot; Stanley Durrleman (MICCAI (1), 2020)

Benchmarking off-the-shelf statistical shape modeling tools in clinical applications. - Anupama Goparaju; Alexandre Bône; Nan Hu; Heath B. Henninger; Andrew E. Anderson; Stanley Durrleman; Matthijs Jacxsens; Alan Morris; Ibolya Csecs; Nassir Marrouche; Shireen Y. Elhabian (CoRR, 2020)

Learning the spatiotemporal variability in longitudinal shape data sets. - Alexandre Bône; Olivier Colliot; Stanley Durrleman (Int. J. Comput. Vis., 2020)

Learning adapted coordinate systems for the statistical analysis of anatomical shapes. Applications to Alzheimer's disease progression modeling. (Apprentissage de systèmes de coordonnées adaptés pour l'analyse statistique de formes anatomiques. Applications à la modélisation de la progression de la maladie d'Alzheimer). - Alexandre Bône (2020)

Contrast-Enhanced Brain MRI Synthesis With Deep Learning: Key Input Modalities and Asymptotic Performance. - Alexandre Bône; Samy Ammari; Jean-Philippe Lamarque; Mickael Elhaik; Emilie Chouzenoux; François Nicolas; Philippe Robert; Corinne Balleyguier; Nathalie Lassau; Marc-Michel Rohé (ISBI, 2021)

Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review. - Manon Ansart; Stéphane Epelbaum; Giulia Bassignana; Alexandre Bône; Simona Bottani; Tiziana Cattai; Raphaël Couronné; Johann Faouzi; Igor Koval; Maxime Louis; Elina Thibeau-Sutre; Junhao Wen 002; et al. (Medical Image Anal., 2021)

Learning to Jointly Segment the Liver, Lesions and Vessels from Partially Annotated Datasets. - Omar Ali; Alexandre Bône; Marc-Michel Rohé; Eric Vibert; Irene E. Vignon-Clementel (ICIP, 2022)

Improving the Automatic Segmentation of Elongated Organs Using Geometrical Priors. - Rebeca Vétil; Alexandre Bône; Marie-Pierre Vullierme; Marc-Michel Rohé; Pietro Gori; Isabelle Bloch (ISBI, 2022)

CoRe: An Automated Pipeline for the Prediction of Liver Resection Complexity from Preoperative CT Scans. - Omar Ali; Alexandre Bône; Caterina Accardo; Omar Belkouchi; Marc-Michel Rohé; Eric Vibert; Irene E. Vignon-Clementel (AIIIMA/MIABID@MICCAI, 2022)

Learning Shape Distributions from Large Databases of Healthy Organs: Applications to Zero-Shot and Few-Shot Abnormal Pancreas Detection. - Rebeca Vétil; Clément Abi Nader; Alexandre Bône; Marie-Pierre Vullierme; Marc-Michel Rohé; Pietro Gori; Isabelle Bloch (MICCAI (2), 2022)

Feasibility of a longitudinal statistical atlas model to study aortic growth in congenital heart disease. - Froso Sophocleous; Alexandre Bône; Andrew I. U. Shearn; Mari Nieves Velasco Forte; Jan L. Bruse; Massimo Caputo; Giovanni Biglino (Comput. Biol. Medicine, 2022)

Benchmarking off-the-shelf statistical shape modeling tools in clinical applications. - Anupama Goparaju; Krithika Iyer; Alexandre Bône; Nan Hu; Heath B. Henninger; Andrew E. Anderson; Stanley Durrleman; Matthijs Jacxsens; Alan Morris; Ibolya Csecs; Nassir Marrouche; Shireen Y. Elhabian (Medical Image Anal., 2022)

Leveraging Multi-Phase CT for the Automatic Diagnosis of HCC with Deep Learning: Impacts of Lesion Localization and Phase Inclusion. - Alexandre Bône; Marc-Michel Rohé (ISBI, 2023)

Learning to Diagnose Cirrhosis from Radiological and Histological Labels with Joint Self and Weakly-Supervised Pretraining Strategies. - Emma Sarfati; Alexandre Bône; Marc-Michel Rohé; Pietro Gori; Isabelle Bloch (ISBI, 2023)

Ensembling Voxel-Based and Box-Based Model Predictions for Robust Lesion Detection. - Noëlie Debs; Alexandre Routier; Clément Abi Nader; Arnaud Marcoux; Alexandre Bône; Marc-Michel Rohé (AMAI@MICCAI, 2023)

Weakly-Supervised Positional Contrastive Learning: Application to Cirrhosis Classification. - Emma Sarfati; Alexandre Bône; Marc-Michel Rohé; Pietro Gori; Isabelle Bloch (MICCAI (1), 2023)

Non-redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer. - Rebeca Vétil; Clément Abi Nader; Alexandre Bône; Marie-Pierre Vullierme; Marc-Michel Rohé; Pietro Gori; Isabelle Bloch (CaPTion@MICCAI, 2023)

Refining Deep Learning Segmentation Maps with a Local Thresholding Approach: Application to Liver Surface Nodularity Quantification in CT. - Sisi Yang; Alexandre Bône; Thomas Decaens; Joan Alexis Glaunès (CaPTion@MICCAI, 2024)

Physics-Informed Autoencoder for DSC-MRI Perfusion Post-Processing: Application to Glioma Grading. - Pierre Fayolle; Alexandre Bône; Noëlie Debs; Mathieu Naudin; Pascal Bourdon; Rémy Guillevin; David Helbert (ISBI, 2025)

Guiding the Classification of Hepatocellular Carcinoma on 3D CT-Scans Using Deep and Handcrafted Radiological Features. - Emma Sarfati; Alexandre Bône; Marc-Michel Rohé; C. Aubé; M. Ronot; Pietro Gori; Isabelle Bloch (ISBI, 2025)