Site map

Recrutement
Deep learning-based ultrasonic image reconstruction for ultrafast echographic imaging
ACCURATE AND EFFICIENT MEDICAL I MAGE CLASSIFICATION
AUTOMATIC CEPHALOMETRIC ANALYSIS WITH DEEP LEARNING
(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.
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
Research Team
Former Team : Images and Models
Former Team : Modeling and Imaging of Vessels, Thorax and Brain 'MOTIVATE'

Pages