Site map

Recrutement
Imagerie tissulaire locale : impact du multiplexage de la sonde d’imagerie
Multitask learning and uncertainty in the annotations for pathology characterisation in spine images
Imaging based dosimetry for 177Lu treatments in internal radiotherapy
Associate professor in medical imaging
Miniaturized ultrasounic transducer research and development
Structural and kinematic analysis of the arterial wall in ultrasound image sequences using deep learning
Regional pulmonary function measured by automated analysis of CT images for predictive phenotyping in COPD
PhD. Dosimetry for 177Lu treatments in internal radiotherapy based on imaging and Monte Carlo simulations
Deep predictive modeling of cancer imaging based on weak supervision and atypical losses (Year 2020-2021)
Structural and kinematic analysis of the arterial wall in ultrasound image sequences using deep learning
3D quantification of right ventricular shape and deformation from cardiac mesh sequences
Multiparametric MRI for the staging of hepatic steatosis at 11.7 T
Artificial Intelligence and Monte Carlo simulations for medical physics and nuclear medicine: investigating GAN for SPECT/PET imaging simulations
Unrolling directional total variation regularization algorithm for restoration of vascular structures
Manométrie intravasculaire par Doppler couleur pour des sténoses quasi-axisymétriques
Investigating parametric digital PET imaging in theranostic. Application to personalized 177Lu-based cancer treatments
PhD fellowship: X-ray spectral imaging for phase contrast retrieval
Prediction of response to treatment of stroke patients using a deep learning approach
Funded PhD position (IADoc@UDL program) : Federated machine learning for healthcare applications based on medical imaging
Artificial Intelligence and Monte Carlo simulations in medical physics: investigating Angular Response Functions for SPECT image simulation with neural network
Monte Carlo simulations guided by artificial intelligence for medical physics and nuclear medicine. Study of GANs to model phase spaces.
Research engineer/ Post-doc 12 months in artificial intelligence for medical image analysis starting Sept-Oct 2021
Multiparametric functional atlas of the aorta
Small vessels imaging using ultrasound coherence
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
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
PhD fellowship: Exponential Data Consistency Conditions for Patient Motion Detection and Correction in SPECT
Interprétation des réseaux de neurones pour l'imagerie médicale
Deep-learning enhanced Compton camera imaging for nuclear medicine SPECT applications
(postdoc 3y) Estimating out-of-field dose distribution based on Monte Carlo training dataset
Postdoc 18 months: Population-wide personalization of biophysical models: application to the generation of large databases of synthetic myocardial infarcts
Deep learning-based spectral reconstruction for Compton camera devices
Realistic simulation of ultrasound image sequences for deep-learning-based assessment of arterial wall deformation
Data Science for Quantitative Acoustic Microscopy
Evaluation of new photo-thermal therapeutic nano-agents from multispectral photoacoustic imaging
Master fellowship: K-edge one-step spectral CT reconstruction for imaging myocardium ischemia
Neural Radiance Fields for Single Photon Emission Imaging
Monte Carlo simulation model of innovative SPECT systems
Optimization of Compton camera system design for nuclear medicine applications
Recalage par deep learning pour un simulateur en neurochirurgie
Hyperspectral Single-pixel Image Reconstruction using Nonnegative Matrix Factorization and Deep Learning
Deep diffusion models for anomaly detection
A Patient-Specific Digital Twin for Personalized Assessment of Mechanical Ventilation in Patients with ARDS
Development of a 3D platform for Passive Acoustic Mapping of cavitation
Planning-CT-less adaptive radiotherapy for Head-and-Neck Cancer on conventional Linacs

Pages