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Recrutement
Imaging based dosimetry for 177Lu treatments in internal radiotherapy
Imagerie tissulaire locale : impact du multiplexage de la sonde d’imagerie
Multitask learning and uncertainty in the annotations for pathology characterisation in spine images
Adaptive strategies based on artificial intelligence for radiotherapy Head and Neck cancer treatment
Investigating parametric digital PET imaging in theranostic. Application to personalized 177Lu-based cancer treatments
Prediction of response to treatment of stroke patients using a deep learning approach
POST DOC 24 months MRI sequence developement
POST DOC 24 months MRI sequence developement
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
Learning hierarchies from cardiac imaging data and real life costs
Instrumentation for deep learning hyperspectral optics
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
Associate professor in medical imaging
3D quantification of right ventricular shape and deformation from cardiac mesh sequences
Small vessels imaging using ultrasound coherence
Unrolling directional total variation regularization algorithm for restoration of vascular structures
PhD fellowship: X-ray spectral imaging for phase contrast retrieval
Multiparametric functional atlas of the aorta
Multiparametric MRI analysis of the evolution of myocardial infarct patterns with representation learning
Manométrie intravasculaire par Doppler couleur pour des sténoses quasi-axisymétriques
Artificial Intelligence and Monte Carlo simulations for medical physics and nuclear medicine: investigating GAN for SPECT/PET imaging simulations
Simulated CBCT images for training Deep Learning based segmentation methods in Head and Neck radiation therapy
Research engineer/ Post-doc 12 months in artificial intelligence for medical image analysis starting Sept-Oct 2021
Monte Carlo simulations guided by artificial intelligence for medical physics and nuclear medicine. Study of GANs to model phase spaces.
Structural and kinematic analysis of the arterial wall in ultrasound image sequences using deep learning
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)
Regional pulmonary function measured by automated analysis of CT images for predictive phenotyping in COPD
Structural and kinematic analysis of the arterial wall in ultrasound image sequences using deep learning
Miniaturized ultrasounic transducer research and development
Multiparametric MRI for the staging of hepatic steatosis at 11.7 T

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