126 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université de BourgogneFR10 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- InsermFR5 papers
- Lyon 1 UniversitéFR4 papers
- Université Bourgogne Franche-ComtéFR4 papers
- Institut de Chimie Moléculaire de l'Université de BourgogneFR3 papers
- Ansys (France)FR2 papers
- Centre Georges François LeclercFR2 papers
- CHU Dijon BourgogneFR2 papers
- ImViA - Imagerie et Vision ArtificielleFR2 papers
- Institut National des Sciences Appliquées de LyonFR2 papers
- Laboratoire de Mécanique des Contacts et des StructuresFR2 papers
13 papers
Computer-aided shape features extraction and regression models for predicting the ascending aortic aneurysm growth rate
Leonardo Geronzi, Antonio Martinez, Michel Rochette +13
Objective: ascending aortic aneurysm growth prediction is still challenging in clinics. In this study, we evaluate and compare the ability of local and global shape features to pre…
Calibration of the mechanical boundary conditions for a patient-specific thoracic aorta model including the heart motion effect
Leonardo Geronzi, Aline Bel-Brunon, Antonio Martinez +7
Objective: we propose a procedure for calibrating 4 parameters governing the mechanical boundary conditions (BCs) of a thoracic aorta (TA) model derived from one patient with ascen…
Automatic quantification of breast cancer biomarkers from multiple 18F-FDG PET image segmentation
Tewele W. Tareke, Neree Payan, Alexandre Cochet +5
Neoadjuvant chemotherapy (NAC) has become a standard clinical practice for tumor downsizing in breast cancer with 18F-FDG Positron Emission Tomography (PET). Our work aims to lever…
Auditory cortex and beyond: Deficits in congenital amusia
Barbara Tillmann, Jackson Graves, Francesca Talamini +7
Congenital amusia is a neuro-developmental disorder of music perception and production, with the observed deficits contrasting with the sophisticated music processing reported for…
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li, Zongwei Zhou, Jiancheng Yang +154
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…
Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts?
Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande
Deep learning methods are the de-facto solutions to a multitude of medical image analysis tasks. Cardiac MRI segmentation is one such application which, like many others, requires…
Ligand-dependent nano-mechanical properties of CdSe nanoplatelets: calibrating nanobalances for ligands affinity monitoring
Quentin Martinet, Justine Baronnier, Adrien Girard +6
The influence of ligands on the low frequency vibration of different thicknesses cadmium selenide colloidal nanoplatelets is investigated using resonant low frequency Raman scatter…
Learning With Context Feedback Loop for Robust Medical Image Segmentation
Kibrom Berihu Girum, Gilles Créhange, Alain Lalande
Deep learning has successfully been leveraged for medical image segmentation. It employs convolutional neural networks (CNN) to learn distinctive image features from a defined pixe…
18F-FDG-PET dissemination features in diffuse large B cell lymphoma are predictive of outcome
Anne-Ségolène Cottereau, Christophe Nioche, Anne-Sophie Dirand +5
We assessed the predictive value of new radiomic features characterizing the lesion dissemination in baseline 18F-FDG PET and tested whether combining them with baseline metabolic…
Segmentation-free Estimation of Aortic Diameters from MRI Using Deep Learning
Axel Aguerreberry, Ezequiel de la Rosa, Alain Lalande +1
Accurate and reproducible measurements of the aortic diameters are crucial for the diagnosis of cardiovascular diseases and for therapeutic decision making. Currently, these measur…
Cardiac Segmentation with Strong Anatomical Guarantees
Nathan Painchaud, Youssef Skandarani, Thierry Judge +3
Convolutional neural networks (CNN) have had unprecedented success in medical imaging and, in particular, in medical image segmentation. However, despite the fact that segmentation…
Deep generative model-driven multimodal prostate segmentation in radiotherapy
Kibrom Berihu Girum, Gilles Créhange, Raabid Hussain +2
Deep learning has shown unprecedented success in a variety of applications, such as computer vision and medical image analysis. However, there is still potential to improve segment…
Rational real algebraic models of compact differential surfaces with circle actions
Adrien Dubouloz, Charlie Petitjean
We give an algebro-geometric classification of smooth real affine algebraic surfaces endowed with an effective action of the real algebraic circle group up to equiva…