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20112026
most citedHigh-resolution measurements of face-to-face contact patterns in a primary school

871 citations

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eess.IV2026

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…

eess.IV2024★ 1 cited

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…

eess.IV2024

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-…

eess.IV2023

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…

eess.IV2022★ 103 cited

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…

eess.IV2019★ 6 cited

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…