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 (CoRR, 2025)

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 (Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, CaPTion 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, 2024)

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 (20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023, 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 (20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023, 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 (Applications of Medical Artificial Intelligence - Second International Workshop, AMAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, 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 (Cancer Prevention Through Early Detection - Second International Workshop, CaPTion 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings, 2023)

Weakly-Supervised Positional Contrastive Learning: Application to Cirrhosis Classification - Emma Sarfati; Alexandre Bône; Marc-Michel Rohé; Pietro Gori; Isabelle Bloch (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part I, 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 (CoRR, 2023)

Weakly-supervised positional contrastive learning: application to cirrhosis classification - Emma Sarfati; Alexandre Bône; Marc-Michel Rohé; Pietro Gori; Isabelle Bloch (CoRR, 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 (CoRR, 2023)

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)

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 (2022 IEEE International Conference on Image Processing, ICIP 2022, Bordeaux, France, 16-19 October 2022, 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 (19th IEEE International Symposium on Biomedical Imaging, ISBI 2022, Kolkata, India, March 28-31, 2022, 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 (Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery - First MICCAI Workshop, AIIIMA 2022, and First MICCAI Workshop, MIABID 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings, 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 (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II, 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 (CoRR, 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 (CoRR, 2022)

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; et al. (Medical Image Anal., 2021)

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 (18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, April 13-16, 2021, 2021)

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 (Sorbonne University, France, 2020)

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

Learning Joint Shape and Appearance Representations with Metamorphic Auto-Encoders - Alexandre Bône; Paul Vernhet; Olivier Colliot; Stanley Durrleman (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I, 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)

Auto-Encoding Meshes of any Topology with the Current-Splatting and Exponentiation Layers - Alexandre Bône; Olivier Colliot; Stanley Durrleman (2019 IEEE/CVF International Conference on Computer Vision Workshops, ICCV Workshops 2019, Seoul, Korea (South), October 27-28, 2019, 2019)

Learning Low-Dimensional Representations of Shape Data Sets with Diffeomorphic Autoencoders - Alexandre Bône; Maxime Louis; Olivier Colliot; Stanley Durrleman (Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Hong Kong, China, June 2-7, 2019, Proceedings, 2019)

Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories - Vianney Debavelaere; Alexandre Bône; Stanley Durrleman; Stéphanie Allassonnière (Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV, 2019)

Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms - Alexandre Bône; Olivier Colliot; Stanley Durrleman (2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

Deformetrica 4: An Open-Source Software for Statistical Shape Analysis - Alexandre Bône; Maxime Louis; Benoît Martin; Stanley Durrleman (Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings, 2018)

Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms - Alexandre Bône; Olivier Colliot; Stanley Durrleman (CoRR, 2018)

Parallel Transport in Shape Analysis: A Scalable Numerical Scheme - Maxime Louis; Alexandre Bône; Benjamin Charlier; Stanley Durrleman (Geometric Science of Information - Third International Conference, GSI 2017, Paris, France, November 7-9, 2017, Proceedings, 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 (Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings, 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 (CoRR, 2017)

Parallel transport in shape analysis: a scalable numerical scheme - Maxime Louis; Alexandre Bône; Benjamin Charlier; Stanley Durrleman (CoRR, 2017)