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Image registration with deep learning
Monte Carlo simulations guided by artificial intelligence for medical physics and nuclear medicine. Study of GANs to model phase spaces.
Construction of a multimodality atlas of a reptile brain
PhD fellowship on Proton CT reconstruction
GATE hadrontherapy simulations on the grid: scheduling, interface and large-scale experiment
PhD fellowship on list-mode proton CT reconstruction
PhD on Fast Single-Pixel Imaging
PhD offer on Machine Learning for Multi-modal Medical Imaging
Monte Carlo simulations of Compton camera and PGPI imaging in hadrontherapy and nuclear medicine
Breathing motion correction in SPECT
Region-of-interest CT reconstruction for dose reduction
Post Doc - Nonlinear fluorescence as a biomarker of glioma in brain biopsy Instrumentation, acquisition and machine learning
Software engineer for the Virtual Imaging Platform
Ultrasound image formation based on the use of the spatial frequency domain
Scalable image reconstruction methods for large data : application to synchrotron CT of biological samples
PhD fellowship on dual-energy cone-beam CT
Simulations in X-Ray Spectral Radiology
Image compression and reconstruction methods for optical imaging
Efficient machine learning algorithms for medical image segmentation
Spectral X-Ray Imaging
Construction d’un atlas multimodalité d’un cerveau de reptile
Breathing motion estimation from 2D x-ray projections
Fixed Forced Detection for Prompt Gamma in Proton Therapy simulations
Image reconstruction from experimental spectral CT data
Motion-based image recovery for compressive video
Javascript-based medical image viewer development
Ingénieur de recherche - Imagerie nucléaire, reconstruction, simulations.
Optimizing the contrast-to-noise ratio per unit of time of clinical MR sequences: an optimal control approach
Deep learning-based ultrasonic image reconstruction for ultrafast echographic imaging
(Deep) machine learning for the prediction of patient coma outcome based on multimodality neuroimaging
Data Consistency Conditions for improving image quality of x-ray CT
Hierarchical integration of cardiac imaging data with machine learning
Assessment of Compton Camera imaging applied to Targeted Radionuclide Therapy
Advanced image processing of 2D/3D Transmission Electron Microscopy images
Reconstruction SPECT par des méthodes d’apprentissage profond
PhD position- Oct 2018 - Machine learning for cancer screening based on multimodality imaging
PhD fellowship – Investigating Y-90 digital PET imaging with Monte-Carlo simulations and machine-learning – Lyon – 2018
SPECT/CT quantification and patient dosimetry for 177Lu-DOTATATE treatment
Simulations and validation with real data for preclinical SPECT camera
Medical Image Segmentation and Registration with Deep Learning
Construction of a multimodality atlas of a reptile brain
PhD fellowship: region-of-interest CT reconstruction for dose reduction
Postdoctoral position - Proton CT reconstruction
PhD Fellowship: Deep learning-based algorithms for spectral CT
Real-time single-pixel video imaging
Statistical learning of interactions between cardiac shape and deformation
Research Team
Former Team : Modeling and Imaging of Vessels, Thorax and Brain 'MOTIVATE'