Alexandre Bône

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 31

Top Topics

Automatic Segmentation

Statistical Shape Analysis

Fully Supervised

Top Venues

Medical Image Anal.

Publications

Alexandre Bône, Marc-Michel Rohé
Leveraging Multi-Phase CT for the Automatic Diagnosis of HCC with Deep Learning: Impacts of Lesion Localization and Phase Inclusion. ISBI (2023)
Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Non-redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer. CaPTion@MICCAI (2023)
Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Learning to Diagnose Cirrhosis from Radiological and Histological Labels with Joint Self and Weakly-Supervised Pretraining Strategies. ISBI (2023)
Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Weakly-supervised positional contrastive learning: application to cirrhosis classification. CoRR (2023)
Noëlie Debs, Alexandre Routier, Clément Abi Nader, Arnaud Marcoux, Alexandre Bône, Marc-Michel Rohé
Ensembling Voxel-Based and Box-Based Model Predictions for Robust Lesion Detection. AMAI@MICCAI (2023)
Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Learning to diagnose cirrhosis from radiological and histological labels with joint self and weakly-supervised pretraining strategies. CoRR (2023)
Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Non-Redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer. CoRR (2023)
Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Weakly-Supervised Positional Contrastive Learning: Application to Cirrhosis Classification. MICCAI (1) (2023)
Omar Ali, Alexandre Bône, Marc-Michel Rohé, Eric Vibert, Irene E. Vignon-Clementel
Learning to Jointly Segment the Liver, Lesions and Vessels from Partially Annotated Datasets. ICIP (2022)
Omar Ali, Alexandre Bône, Caterina Accardo, Omar Belkouchi, Marc-Michel Rohé, Eric Vibert, Irene E. Vignon-Clementel
CoRe: An Automated Pipeline for the Prediction of Liver Resection Complexity from Preoperative CT Scans. AIIIMA/MIABID@MICCAI (2022)
Omar Ali, Alexandre Bône, Caterina Accardo, Omar Belkouchi, Marc-Michel Rohé, Eric Vibert, Irene E. Vignon-Clementel
CoRe: An Automated Pipeline for The Prediction of Liver Resection Complexity from Preoperative CT Scans. CoRR (2022)
Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection. CoRR (2022)
Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Learning Shape Distributions from Large Databases of Healthy Organs: Applications to Zero-Shot and Few-Shot Abnormal Pancreas Detection. MICCAI (2) (2022)
Froso Sophocleous, Alexandre Bône, Andrew I. U. Shearn, Mari Nieves Velasco Forte, Jan L. Bruse, Massimo Caputo, Giovanni Biglino
Feasibility of a longitudinal statistical atlas model to study aortic growth in congenital heart disease. Comput. Biol. Medicine 144 (2022)
Rebeca Vétil, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
Improving the Automatic Segmentation of Elongated Organs Using Geometrical Priors. ISBI (2022)
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
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications. Medical Image Anal. 76 (2022)
Alexandre Bône, Samy Ammari, Jean-Philippe Lamarque, Mickael Elhaik, Émilie Chouzenoux, François Nicolas, Philippe Robert, Corinne Balleyguier, Nathalie Lassau, Marc-Michel Rohé
Contrast-Enhanced Brain MRI Synthesis With Deep Learning: Key Input Modalities and Asymptotic Performance. ISBI (2021)
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, Adam Wild, Ninon Burgos, Didier Dormont, Olivier Colliot, Stanley Durrleman
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review. Medical Image Anal. 67 (2021)
Alexandre Bône, Paul Vernhet, Olivier Colliot, Stanley Durrleman
Learning Joint Shape and Appearance Representations with Metamorphic Auto-Encoders. MICCAI (1) (2020)
Alexandre Bône, Olivier Colliot, Stanley Durrleman
Learning the spatiotemporal variability in longitudinal shape data sets. Int. J. Comput. Vis. 128 (12) (2020)
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
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications. CoRR (2020)
Vianney Debavelaere, Alexandre Bône, Stanley Durrleman, Stéphanie Allassonnière
Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories. MICCAI (4) (2019)
Alexandre Bône, Olivier Colliot, Stanley Durrleman
Auto-Encoding Meshes of any Topology with the Current-Splatting and Exponentiation Layers. ICCV Workshops (2019)
Alexandre Bône, Maxime Louis, Olivier Colliot, Stanley Durrleman
Learning Low-Dimensional Representations of Shape Data Sets with Diffeomorphic Autoencoders. IPMI (2019)
Alexandre Bône, Olivier Colliot, Stanley Durrleman
Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms. CVPR (2018)
Alexandre Bône, Olivier Colliot, Stanley Durrleman
Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms. CoRR (2018)
Alexandre Bône, Maxime Louis, Benoît Martin, Stanley Durrleman
Deformetrica 4: An Open-Source Software for Statistical Shape Analysis. ShapeMI@MICCAI (2018)
Maxime Louis, Alexandre Bône, Benjamin Charlier, Stanley Durrleman
Parallel transport in shape analysis: a scalable numerical scheme. CoRR (2017)
Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper-González, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman
Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline. CoRR (2017)
Maxime Louis, Alexandre Bône, Benjamin Charlier, Stanley Durrleman
Parallel Transport in Shape Analysis: A Scalable Numerical Scheme. GSI (2017)
Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper-González, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman
Prediction of the Progression of Subcortical Brain Structures in Alzheimer's Disease from Baseline. GRAIL/MFCA/MICGen@MICCAI (2017)