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Neural Radiance Fields for Single Photon Emission Imaging
Master fellowship: K-edge one-step spectral CT reconstruction for imaging myocardium ischemia
Evaluation of new photo-thermal therapeutic nano-agents from multispectral photoacoustic imaging
Hyperspectral Single-pixel Image Reconstruction using Nonnegative Matrix Factorization and Deep Learning
Realistic simulation of ultrasound image sequences for deep-learning-based assessment of arterial wall deformation
A Patient-Specific Digital Twin for Personalized Assessment of Mechanical Ventilation in Patients with ARDS
Population-wide personalization of biophysical models: application to the generation of large databases of synthetic myocardial infarcts
(postdoc 3y) Estimating out-of-field dose distribution based on Monte Carlo training dataset
Deep-learning enhanced Compton camera imaging for nuclear medicine SPECT applications
Multiparametric MRI analysis of the evolution of myocardial infarct patterns with representation learning
Simulated CBCT images for training Deep Learning based segmentation methods in Head and Neck radiation therapy
Self-supervised representation learning for anomaly detection in MRI neuroimaging
Image registration with deep learning
Multi-view analysis of left-right ventricular interactions using representation learning
Construction of a multimodality atlas of a reptile brain
Master Fellowship - Exponential Data Consistency Conditions for Patient Motion Detection and Correction
Postdoc fellowship: Exponential Data Consistency Conditions for Patient Motion Detection and Correction in SPECT
Deep diffusion models for anomaly detection
PhD fellowship: Exponential Data Consistency Conditions for Patient Motion Detection and Correction in SPECT
Interprétation des réseaux de neurones pour l'imagerie médicale
Data Science for Quantitative Acoustic Microscopy
PhD fellowship on Proton CT reconstruction
Ultrasound image formation based on the use of the spatial frequency domain
GATE hadrontherapy simulations on the grid: scheduling, interface and large-scale experiment
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
Ingénieur de recherche - Imagerie nucléaire, reconstruction, simulations.
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
PhD fellowship: region-of-interest CT reconstruction for dose reduction
PhD offer on Machine Learning for Multi-modal Medical Imaging
PhD fellowship on dual-energy cone-beam CT
Simulations in X-Ray Spectral Radiology
Image compression and reconstruction methods for optical imaging
Software engineer for the Virtual Imaging Platform
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
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