103 citations
- Lyon 1 UniversitéFR15 papers
- Centre National de la Recherche ScientifiqueFR14 papers
- InsermFR10 papers
- Institut National des Sciences Appliquées de LyonFR6 papers
- Centre de Recherche en Acquisition et Traitement de l'Image pour la SantéFR4 papers
- Hôpital de la Croix-RousseFR4 papers
- Laboratoire d’Imagerie BiomédicaleFR4 papers
- Lyon CollegeUS4 papers
- Assistance Publique – Hôpitaux de ParisFR3 papers
- Sorbonne UniversitéFR3 papers
- Université de LilleFR3 papers
- Université de MontpellierFR3 papers
6 papers · 1 filter
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…