773 citations
- Lyon 1 UniversitéFR56 papers
- Centre National de la Recherche ScientifiqueFR54 papers
- InsermFR50 papers
- Institut National des Sciences Appliquées de LyonFR40 papers
- Laboratoire d’Imagerie BiomédicaleFR10 papers
- Hospices Civils de LyonFR7 papers
- Lyon CollegeUS7 papers
- Université de SherbrookeCA7 papers
- Centre Hospitalier Universitaire de Saint-ÉtienneFR5 papers
- Institut de Recherche en Informatique et Systèmes AléatoiresFR5 papers
- Centre Léon BérardFR4 papers
- Institut de Recherche en Informatique de ToulouseFR4 papers
7 papers · 1 filter
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…
Reconstruction for Diverging-Wave Imaging Using Deep Convolutional Neural Networks
Jingfeng Lu, Fabien Millioz, Damien Garcia +3
In recent years, diverging-wave (DW) ultrasound imaging has become a very promising methodology for cardiovascular imaging due to its high temporal resolution. However, if they are…
Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography
Sarah Leclerc, Erik Smistad, João Pedrosa +11
Delineation of the cardiac structures from 2D echocardiographic images is a common clinical task to establish a diagnosis. Over the past decades, the automation of this task has be…
AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks
Yulei Qin, Mingjian Chen, Hao Zheng +6
Airway segmentation on CT scans is critical for pulmonary disease diagnosis and endobronchial navigation. Manual extraction of airway requires strenuous efforts due to the complica…
Generative Adversarial Networks (GAN) for compact beam source modelling in Monte Carlo simulations
David Sarrut, Nils Krah, Jean-Michel Létang
A method is proposed and evaluated to model large and inconvenient phase space files used in Monte Carlo simulations by a compact Generative Adversarial Network (GAN). The GAN is t…
Glioma Grade Prediction Using Wavelet Scattering-Based Radiomics
Qijian Chen, Lihui Wang, Li Wang +3
Glioma grading before surgery is very critical for the prognosis prediction and treatment plan making. We present a novel wavelet scattering-based radiomic method to predict noninv…