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Dose delivery uncertainty estimation for probabilistic treatment planning |
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Deep predictive modeling of cancer imaging based on weak supervision and atypical losses (Year 2020-2021) |
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PhD. Dosimetry for 177Lu treatments in internal radiotherapy based on imaging and Monte Carlo simulations |
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Regional pulmonary function measured by automated analysis of CT images for predictive phenotyping in COPD |
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Structural and kinematic analysis of the arterial wall in ultrasound image sequences using deep learning |
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Structural and kinematic analysis of the arterial wall in ultrasound image sequences using deep learning |
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Learning hierarchies from cardiac imaging data and real life costs |
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Miniaturized ultrasounic transducer research and development |
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Instrumentation for deep learning hyperspectral optics |
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Imaging based dosimetry for 177Lu treatments in internal radiotherapy |
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3D quantification of right ventricular shape and deformation from cardiac mesh sequences |
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Imagerie tissulaire locale : impact du multiplexage de la sonde d’imagerie |
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Multitask learning and uncertainty in the annotations for pathology characterisation in spine images |
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Adaptive strategies based on artificial intelligence for radiotherapy Head and Neck cancer treatment |
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POST DOC 24 months MRI sequence developement |
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POST DOC 24 months MRI sequence developement |
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Associate professor in medical imaging |
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(postdoc 3y) Estimating out-of-field dose distribution based on Monte Carlo training dataset |
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Multiparametric MRI for the staging of hepatic steatosis at 11.7 T |
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Image registration with deep learning |
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Artificial Intelligence and Monte Carlo simulations in medical physics: investigating Angular Response Functions for SPECT image simulation with neural network |
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Self-supervised learning for the detection of anomalies in neuroimaging. Application to the early diagnosis of Parkinson's disease |
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Simulated CBCT images for training Deep Learning based segmentation methods in Head and Neck radiation therapy |
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Interprétation des réseaux de neurones pour l'imagerie médicale |
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PhD fellowship: Exponential Data Consistency Conditions for Patient Motion Detection and Correction in SPECT |
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Multiparametric MRI analysis of the evolution of myocardial infarct patterns with representation learning |
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Small vessels imaging using ultrasound coherence |
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Multiparametric functional atlas of the aorta |
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Research engineer/ Post-doc 12 months in artificial intelligence for medical image analysis starting Sept-Oct 2021 |
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Prediction of response to treatment of stroke patients using a deep learning approach |
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PhD fellowship: X-ray spectral imaging for phase contrast retrieval |
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Multi-view analysis of left-right ventricular interactions using representation learning |
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Artificial Intelligence and Monte Carlo simulations for medical physics and nuclear medicine: investigating GAN for SPECT/PET imaging simulations |
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Unrolling directional total variation regularization algorithm for restoration of vascular structures |
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Manométrie intravasculaire par Doppler couleur pour des sténoses quasi-axisymétriques |
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Deep learning-based spectral reconstruction for Compton camera devices |
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Population-wide personalization of biophysical models: application to the generation of large databases of synthetic myocardial infarcts |
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Investigating parametric digital PET imaging in theranostic. Application to personalized 177Lu-based cancer treatments |
