Aurélien O.


1171 dollar
2 ans

Mon expérience

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DESKiJanuary 2017 - January 2019

R&D engineer in Deep learning and Data science applied to Medical imaging (Medical image Analysis, Deep learning, Keras, Tensorflow, Python, AWS, Docker)

* Led Research and Development on segmentation of infarct lesions in Brain MRIs. Integration of the
algorithm to an API with a viewer. Winner of Intrasense Myrian@ Studio challenge at RNSA 2018.

* Scientific publication as first author, about an innovating training method for deep neural network
accepted for published in Journal of Medical imaging (SPIE)

* Research in deep learning methods for the analysis of the cardiac ventricular function on
Echocardiography. Innovations on network layers. Development of visualization tools, new metrics and processing methods.
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GE HealthcareJanuary 2017 - January 2017

• Literature review and implementation of deep learning methods on Tensorflow.

• Creation of a framework for deep learning use on several tasks of medical image analysis (loading, processing and data augmentation). Software integration.
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NAXYS (GE Oil & Gas)January 2016 - January 2016

• Development of an algorithm for machine detection using acoustic data. Implementation of the algorithms in C and Matlab.

Mes compétences

TensorFlow, SQL, Python, Project Management, Pandas, NumPy, Neural networks, Matlab, Machine Learning, Java, Docker, Data Science, C++, C#, Amazon Web Services (AWS)