Alexandre Bône

39 papers A* 1B 1Journal 16Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Guiding the Classification of Hepatocellular Carcinoma on 3D CT-Scans Using Deep and Handcrafted Radiological Features. ISBI Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, C. Aubé, M. Ronot, Pietro Gori, Isabelle Bloch
2025	J	`jnl`	Guiding the classification of hepatocellular carcinoma on 3D CT-scans using deep and handcrafted radiological features. CoRR Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, C. Aubé, M. Ronot, Pietro Gori, Isabelle Bloch
2025	—	`conf`	Improving Virtual Contrast Enhancement Using Longitudinal Data. LMID@MICCAI Pierre Fayolle, Alexandre Bône, Noëlie Debs, Philippe Robert, Pascal Bourdon, Rémy Guillevin, David Helbert
2025	J	`jnl`	Improving Virtual Contrast Enhancement using Longitudinal Data. CoRR Pierre Fayolle, Alexandre Bône, Noëlie Debs, Philippe Robert, Pascal Bourdon, Rémy Guillevin, David Helbert
2025	—	`conf`	Physics-Informed Autoencoder for DSC-MRI Perfusion Post-Processing: Application to Glioma Grading. ISBI Pierre Fayolle, Alexandre Bône, Noëlie Debs, Mathieu Naudin, Pascal Bourdon, Rémy Guillevin, David Helbert
2025	J	`jnl`	Physics-Informed autoencoder for DSC-MRI Perfusion post-processing: application to glioma grading. CoRR Pierre Fayolle, Alexandre Bône, Noëlie Debs, Mathieu Naudin, Pascal Bourdon, Rémy Guillevin, David Helbert
2024	—	`conf`	Refining Deep Learning Segmentation Maps with a Local Thresholding Approach: Application to Liver Surface Nodularity Quantification in CT. CaPTion@MICCAI Sisi Yang, Alexandre Bône, Thomas Decaens, Joan Alexis Glaunès
2023	—	`conf`	Ensembling Voxel-Based and Box-Based Model Predictions for Robust Lesion Detection. AMAI@MICCAI Noëlie Debs, Alexandre Routier, Clément Abi Nader, Arnaud Marcoux, Alexandre Bône, Marc-Michel Rohé
2023	—	`conf`	Learning to Diagnose Cirrhosis from Radiological and Histological Labels with Joint Self and Weakly-Supervised Pretraining Strategies. ISBI Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
2023	J	`jnl`	Learning to diagnose cirrhosis from radiological and histological labels with joint self and weakly-supervised pretraining strategies. CoRR Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
2023	—	`conf`	Leveraging Multi-Phase CT for the Automatic Diagnosis of HCC with Deep Learning: Impacts of Lesion Localization and Phase Inclusion. ISBI Alexandre Bône, Marc-Michel Rohé
2023	J	`jnl`	Non-Redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer. CoRR Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
2023	—	`conf`	Non-redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer. CaPTion@MICCAI Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
2023	—	`conf`	Weakly-Supervised Positional Contrastive Learning: Application to Cirrhosis Classification. MICCAI (1) Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
2023	J	`jnl`	Weakly-supervised positional contrastive learning: application to cirrhosis classification. CoRR Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
2022	J	`jnl`	Benchmarking off-the-shelf statistical shape modeling tools in clinical applications. Medical Image Anal. 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
2022	J	`jnl`	CoRe: An Automated Pipeline for The Prediction of Liver Resection Complexity from Preoperative CT Scans. CoRR Omar Ali, Alexandre Bône, Caterina Accardo, Omar Belkouchi, Marc-Michel Rohé, Eric Vibert, Irene E. Vignon-Clementel
2022	—	`conf`	CoRe: An Automated Pipeline for the Prediction of Liver Resection Complexity from Preoperative CT Scans. AIIIMA/MIABID@MICCAI Omar Ali, Alexandre Bône, Caterina Accardo, Omar Belkouchi, Marc-Michel Rohé, Eric Vibert, Irene E. Vignon-Clementel
2022	J	`jnl`	Feasibility of a longitudinal statistical atlas model to study aortic growth in congenital heart disease. Comput. Biol. Medicine Froso Sophocleous, Alexandre Bône, Andrew I. U. Shearn, Mari Nieves Velasco Forte, Jan L. Bruse, Massimo Caputo, Giovanni Biglino
2022	—	`conf`	Improving the Automatic Segmentation of Elongated Organs Using Geometrical Priors. ISBI Rebeca Vétil, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
2022	—	`conf`	Learning Shape Distributions from Large Databases of Healthy Organs: Applications to Zero-Shot and Few-Shot Abnormal Pancreas Detection. MICCAI (2) Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
2022	J	`jnl`	Learning shape distributions from large databases of healthy organs: applications to zero-shot and few-shot abnormal pancreas detection. CoRR Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch
2022	B	`conf`	Learning to Jointly Segment the Liver, Lesions and Vessels from Partially Annotated Datasets. ICIP Omar Ali, Alexandre Bône, Marc-Michel Rohé, Eric Vibert, Irene E. Vignon-Clementel
2021	—	`conf`	Contrast-Enhanced Brain MRI Synthesis With Deep Learning: Key Input Modalities and Asymptotic Performance. ISBI Alexandre Bône, Samy Ammari, Jean-Philippe Lamarque, Mickael Elhaik, Emilie Chouzenoux, François Nicolas, Philippe Robert, Corinne Balleyguier, Nathalie Lassau, Marc-Michel Rohé
2021	J	`jnl`	Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review. Medical Image Anal. 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
2020	J	`jnl`	Benchmarking off-the-shelf statistical shape modeling tools in clinical applications. CoRR 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
2020	—	`conf`	Learning Joint Shape and Appearance Representations with Metamorphic Auto-Encoders. MICCAI (1) Alexandre Bône, Paul Vernhet, Olivier Colliot, Stanley Durrleman
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	J	`jnl`	Learning the spatiotemporal variability in longitudinal shape data sets. Int. J. Comput. Vis. Alexandre Bône, Olivier Colliot, Stanley Durrleman
2019	—	`conf`	Auto-Encoding Meshes of any Topology with the Current-Splatting and Exponentiation Layers. ICCV Workshops Alexandre Bône, Olivier Colliot, Stanley Durrleman
2019	—	`conf`	Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories. MICCAI (4) Vianney Debavelaere, Alexandre Bône, Stanley Durrleman, Stéphanie Allassonnière
2019	—	`conf`	Learning Low-Dimensional Representations of Shape Data Sets with Diffeomorphic Autoencoders. IPMI Alexandre Bône, Maxime Louis, Olivier Colliot, Stanley Durrleman
2018	—	`conf`	Deformetrica 4: An Open-Source Software for Statistical Shape Analysis. ShapeMI@MICCAI Alexandre Bône, Maxime Louis, Benoît Martin, Stanley Durrleman
2018	A*	`conf`	Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms. CVPR Alexandre Bône, Olivier Colliot, Stanley Durrleman
2018	J	`jnl`	Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms. CoRR Alexandre Bône, Olivier Colliot, Stanley Durrleman
2017	—	`conf`	Parallel Transport in Shape Analysis: A Scalable Numerical Scheme. GSI Maxime Louis, Alexandre Bône, Benjamin Charlier, Stanley Durrleman
2017	J	`jnl`	Parallel transport in shape analysis: a scalable numerical scheme. CoRR Maxime Louis, Alexandre Bône, Benjamin Charlier, Stanley Durrleman
2017	—	`conf`	Prediction of the Progression of Subcortical Brain Structures in Alzheimer's Disease from Baseline. GRAIL/MFCA/MICGen@MICCAI Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper-González, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman
2017	J	`jnl`	Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline. CoRR Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper-González, Michael Bacci, Benjamin Charlier, Olivier Colliot, Stanley Durrleman