871 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR22 papers
- Lyon 1 UniversitéFR21 papers
- InsermFR15 papers
- Institut National des Sciences Appliquées de LyonFR8 papers
- Centre de Recherche en Acquisition et Traitement de l'Image pour la SantéFR7 papers
- Hôpital Edouard HerriotFR6 papers
- Laboratoire d’Imagerie BiomédicaleFR5 papers
- Lyon CollegeUS5 papers
- Assistance Publique – Hôpitaux de ParisFR4 papers
- École Normale Supérieure de LyonFR4 papers
- Hôpital de la Croix-RousseFR4 papers
- Université de LyonFR4 papers
30 papers
The MYOSAIQ Challenge: Myocardial Segmentation with Automated Infarct Quantification
Olivier Bernard, William A. Romero R., Cyprien Bouton +24
Late gadolinium enhancement (LGE) cardiac magnetic resonance (MR) imaging is the modality of choice to assess myocardial infarction (MI) lesions. Nowadays MI volume quantification…
Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans
Theo Di Piazza, Carole Lazarus, Olivier Nempont +1
With the growing volume of CT examinations, there is an increasing demand for automated tools such as organ segmentation, abnormality detection, and report generation to support ra…
Self-Supervised Z-Slice Augmentation for 3D Bio-Imaging via Knowledge Distillation
Alessandro Pasqui, Sajjad Mahdavi, Benoit Vianay +6
Three-dimensional biological microscopy has significantly advanced our understanding of complex biological structures. However, limitations due to microscopy techniques, sample pro…
Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains
Robin Trombetta, Olivier Rouvière, Carole Lartizien
Fully supervised deep models have shown promising performance for many medical segmentation tasks. Still, the deployment of these tools in clinics is limited by the very timeconsum…
A deterministic and efficient source of frequency-polarization hyper-encoded photonic qubits
N. Coste, D. A. Fioretto, S. E. Thomas +12
The frequency or color of photons is an attractive degree of freedom to encode and distribute the quantum information over long distances. However, the generation of frequency-enco…
Computational models of astrocyte function at glutamatergic synapses
Kerstin Lenk, Audrey Denizot, Barbara Genocchi +3
At tripartite synapses, astrocytes are in close contact with neurons and contribute to various functions, from synaptic transmission, maintenance of ion homeostasis and glutamate u…
Clustering of timed sequences -- Application to the analysis of care pathways
Thomas Guyet, Pierre Pinson, Enoal Gesny
Improving the future of healthcare starts by better understanding the current actual practices in hospital settings. This motivates the objective of discovering typical care pathwa…
CT-3DFlow : Leveraging 3D Normalizing Flows for Unsupervised Detection of Pathological Pulmonary CT scans
Aissam Djahnine, Alexandre Popoff, Emilien Jupin-Delevaux +3
Unsupervised pathology detection can be implemented by training a model on healthy data only and measuring the deviation from the training set upon inference, for example with CNN-…
Evolving disorder and chaos enhances the wave speed of elastic waves
M. Ahumada, L. Trujillo, J. F. Marín
Static or frozen disorder, characterised by spatial heterogeneities, influences diverse complex systems, encompassing many-body systems, equilibrium and nonequilibrium states of ma…
Finite element analysis of biomechanical interactions of a subcutaneous suspension suture and human face soft-tissue: a cadaver study
Seyed Ali Mousavi, Mohammad Ali Nazari, Pascal Perrier +5
In order to study the local interactions between facial soft-tissues and a Silhouette Soft suspension suture, a CE marked medical device designed for the repositioning of soft tiss…
Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study
Patrick Saux, Pierre Bauvin, Violeta Raverdy +31
Background Weight loss trajectories after bariatric surgery vary widely between individuals, and predicting weight loss before the operation remains challenging. We aimed to develo…
Modeling compartmentalization within intracellular signaling pathway
Claire Alamichel, Juan Calvo, Erwan Hingant +3
We present a new modeling approach for G protein coupled receptors signaling systems, that take into account the compartmentalization of receptors and their effectors, both at plas…
Extraction of volumetric indices from echocardiography: which deep learning solution for clinical use?
Hang Jung Ling, Nathan Painchaud, Pierre-Yves Courand +3
Deep learning-based methods have spearheaded the automatic analysis of echocardiographic images, taking advantage of the publication of multiple open access datasets annotated by e…
Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing
Una Pale, Tomas Teijeiro, David Atienza
Epilepsy is a chronic neurological disorder with a significant prevalence. However, there is still no adequate technological support to enable epilepsy detection and continuous out…
Seizures and epilepsy after intracerebral hemorrhage: an update
Laurent Derex, Sylvain Rheims, Laure Peter-Derex
Seizures are common after intracerebral hemorrhage, occurring in 6 to 15% of the patients, mostly in the first 72 hours. Their incidence reaches 30% when subclinical or non-convuls…
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans
Audrey Duran, Gaspard Dussert, Olivier Rouvière +3
Multiparametric magnetic resonance imaging (mp-MRI) has shown excellent results in the detection of prostate cancer (PCa). However, characterizing prostate lesions aggressiveness i…
Isolated parkinsonism is an atypical presentation of GRN and C9orf72 gene mutations
Fábio Carneiro, Dario Saracino, Vincent Huin +17
Introduction: A phenotype of isolated parkinsonism mimicking Idiopathic Parkinson's Disease (IPD) is a rare clinical presentation of GRN and C9orf72 mutations, the major genetic ca…
Disentangled representations: towards interpretation of sex determination from hip bone
Kaifeng Zou, Sylvain Faisan, Fabrice Heitz +4
By highlighting the regions of the input image that contribute the most to the decision, saliency maps have become a popular method to make neural networks interpretable. In medica…
Tissue Engineering for Periodontal Ligament Regeneration: Biomechanical Specifications
R. Gauthier, Christophe Jeannin, N. Attik +3
The periodontal biomechanical environment is very difficult to investigate. By the complex geometry and composition of the periodontal ligament, its mechanical behavior is very dep…
Retinal vessel segmentation by probing adaptive to lighting variations
Guillaume Noyel, Christine Vartin, Peter Boyle +1
We introduce a novel method to extract the vessels in eye fun-dus images which is adaptive to lighting variations. In the Logarithmic Image Processing framework, a 3-segment probe…
ROI-Wise Material Decomposition in Spectral Photon-Counting CT
Bingqing Xie, Pei Niu, Ting Su +5
Spectral photon-counting X-ray CT (sCT) opens up new possibilities for the quantitative measurement of materials in an object, compared to conventional energy-integrating CT or dua…
Knockdown of human AMPK using the CRISPR-Cas9 genome-editing system
Adrien Grenier, Pierre Sujobert, Séverine Olivier +5
AMP activated protein kinase (AMPK) is a critical energy sensor, regulating signaling networks involved in pathology including metabolic diseases and cancer. This increasingly reco…
The population-attributable fraction for time-dependent exposures and competing risks - A discussion on estimands
Maja von Cube, Martin Schumacher, Sebastien Bailly +5
The population-attributable fraction (PAF) quantifies the public health impact of a harmful exposure. Despite being a measure of significant importance an estimand accommodating co…
Neural correlates of episodic memory in the Memento cohort
Stéphane Epelbaum, Vincent Bouteloup, Jean Mangin +22
IntroductionThe free and cued selective reminding test is used to identify memory deficits in mild cognitive impairment and demented patients. It allows assessing three processes:…