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Alexandre B˘ne
Alexandre B˘ne
Guerbet AI Research
Verified email at guerbet.com
Title
Cited by
Cited by
Year
Deformetrica 4: an open-source software for statistical shape analysis
A B˘ne, M Louis, B Martin, S Durrleman
Shape in Medical Imaging: International Workshop, ShapeMI 2018, Held iná…, 2018
832018
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review
M Ansart, S Epelbaum, G Bassignana, A B˘ne, S Bottani, T Cattai, ...
Medical Image Analysis 67, 101848, 2021
522021
Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms
A B˘ne, O Colliot, S Durrleman
Proceedings of the IEEE conference on computer vision and patterná…, 2018
472018
AD Course Map charts Alzheimer’s disease progression
I Koval, A B˘ne, M Louis, T Lartigue, S Bottani, A Marcoux, ...
Scientific Reports 11 (1), 1-16, 2021
282021
Parallel transport in shape analysis: a scalable numerical scheme
M Louis, A B˘ne, B Charlier, S Durrleman, ...
Geometric Science of Information: Third International Conference, GSI 2017á…, 2017
282017
Learning low-dimensional representations of shape data sets with diffeomorphic autoencoders
A B˘ne, M Louis, O Colliot, S Durrleman, ...
Information Processing in Medical Imaging: 26th International Conferenceá…, 2019
202019
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications
A Goparaju, K Iyer, A Bone, N Hu, HB Henninger, AE Anderson, ...
Medical Image Analysis 76, 102271, 2022
162022
Contrast-enhanced brain MRI synthesis with deep learning: key input modalities and asymptotic performance
A B˘ne, S Ammari, JP Lamarque, M Elhaik, ╔ Chouzenoux, F Nicolas, ...
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1159-1163, 2021
152021
Can deep learning replace gadolinium in neuro-oncology?: a reader study
S Ammari, A B˘ne, C Balleyguier, E Moulton, ╔ Chouzenoux, A Volk, ...
Investigative Radiology 57 (2), 99-107, 2022
122022
Learning joint shape and appearance representations with metamorphic auto-encoders
A B˘ne, P Vernhet, O Colliot, S Durrleman
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rdá…, 2020
122020
Clustering of longitudinal shape data sets using mixture of separate or branching trajectories
V Debavelaere, A B˘ne, S Durrleman, S AllassonniŔre, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22ndá…, 2019
122019
Prediction of the progression of subcortical brain structures in Alzheimer’s disease from baseline
A B˘ne, M Louis, A Routier, J Samper, M Bacci, B Charlier, O Colliot, ...
Graphs in Biomedical Image Analysis, Computational Anatomy and Imagingá…, 2017
92017
Learning the spatiotemporal variability in longitudinal shape data sets
A B˘ne, O Colliot, S Durrleman
82019
From Dose Reduction to Contrast Maximization: Can Deep Learning Amplify the Impact of Contrast Media on Brain Magnetic Resonance Image Quality? A Reader Study
A B˘ne, S Ammari, Y Menu, C Balleyguier, E Moulton, ╔ Chouzenoux, ...
Investigative Radiology 57 (8), 527-535, 2022
72022
Feasibility of a longitudinal statistical atlas model to study aortic growth in congenital heart disease
F Sophocleous, A B˘ne, AIU Shearn, MNV Forte, JL Bruse, M Caputo, ...
Computers in Biology and Medicine 144, 105326, 2022
62022
Simulating Alzheimer’s disease progression with personalised digital brain models
I Koval, A B˘ne, M Louis, S Bottani, A Marcoux, J Samper-Gonzalez, ...
Inria preprint, 2018
52018
Learning adapted coordinate systems for the statistical analysis of anatomical shapes. Application to Alzheimer's disease progression modeling
A Bône
Sorbonne universitÚ, 2020
32020
Predicting the progression of mild cognitive impairment using machine learning: a systematic and quantitative review
M Ansart, S Epelbaum, G Bassignana, A B˘ne, S Bottani, T Cattai, ...
22019
Auto-encoding meshes of any topology with the current-splatting and exponentiation layers
A B˘ne, O Colliot, S Durrleman
Proceedings of the IEEE/CVF International Conference on Computer Visioná…, 2019
22019
Going beyond voxel-wise deconvolution in perfusion MRI: learning and leveraging spatio-temporal regularities with the stU-Net
JV Vialard, MM RohÚ, P Robert, F Nicolas, A B˘ne
12021
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