Site map

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
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
Construction d’un atlas multimodalité d’un cerveau de reptile
Scalable image reconstruction methods for large data : application to synchrotron CT of biological samples
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
Motion-based image recovery for compressive video
Javascript-based medical image viewer development
SPECT/CT quantification and patient dosimetry for 177Lu-DOTATATE treatment
Simulations and validation with real data for preclinical SPECT camera
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
PhD fellowship – Investigating Y-90 digital PET imaging with Monte-Carlo simulations and machine-learning – Lyon – 2018
PhD position- Oct 2018 - Machine learning for cancer screening based on multimodality imaging
Optimizing the contrast-to-noise ratio per unit of time of clinical MR sequences: an optimal control approach
Medical Image Segmentation and Registration with Deep Learning
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
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
Deep Learning for Detection of Acute Multiple Sclerosis Lesions without Gadolinium Injection
Lung Tumor Segmentation with deep neural networks
Deep learning : pushing the performance limits of deep diagnosis and prognosis models based on multimodality medical imaging
Dose delivery uncertainty estimation for probabilistic treatment planning
Hierarchical integration of cardiac imaging data with machine learning
Learning hierarchies from cardiac imaging data and real life costs
Instrumentation for deep learning hyperspectral optics
POST DOC 24 months MRI sequence developement
POST DOC 24 months MRI sequence developement
Adaptive strategies based on artificial intelligence for radiotherapy Head and Neck cancer treatment
Ingénieur de recherche - Imagerie nucléaire, reconstruction, simulations.