Arnaud Marcoux Email & Phone Number

Paris, Île-De-France, France

Mission includes :- Lead data manager for the deep learning team, ensuring data quality and organization.- Lead developper for the annotation tool used by 25+ radiologists in various projects.- Management of Microsoft Azure ecosystem for the whole team : computational power, storage, Azure devOps and MySQL databases.- Strong involvment in the bone metastasis detection project, in which we detect various patholgy, especially bone metastases, directly in CT scans… Show more Mission includes :- Lead data manager for the deep learning team, ensuring data quality and organization.- Lead developper for the annotation tool used by 25+ radiologists in various projects.- Management of Microsoft Azure ecosystem for the whole team : computational power, storage, Azure devOps and MySQL databases.- Strong involvment in the bone metastasis detection project, in which we detect various patholgy, especially bone metastases, directly in CT scans. Technical stack :In development : python, numpy, pytorch, pandas, scikit-image, QtIn devops : git / git-lfs, conda environments, poetry, Azure Artifacts, Azure DevOps, Azure Pipelines, unix systemsIn medical imaging : 3D Slicer add-on development, ITK-snap for visualization, nnDetection, nnUnet, retinaNet... Show less

Paris, Ile-De-France, France

Qynapse is a medical technology company that unlocks the potential of quantitative imaging and AI to optimize diagnosis, prognosis and longitudinal monitoring of patients for Alzheimer's, Parkinson’s, multiple sclerosis and other neurological diseases. My role in thsi adventure is to develop, integrate and optimize new medical image processing tools, and to take part in the specification and design activities, in collaboration with clinicians.

Paris Area, France

- Continue previous work started as a member of INRIA, leading to a publication in Frontiers In Neuroinformatics as first author (open access at https://www.frontiersin.org/articles/10.3389/fninf.2018.00094/full) .- Responsible of a project mixing Magnetic Resonance Images and histology, aiming to discover new technics for detection of neurofibrillary tangles (aggregation of Tau proteins) in mice brain using deep learning algorithms.- Active developper of Clinica http://www.clinica.run,… Show more - Continue previous work started as a member of INRIA, leading to a publication in Frontiers In Neuroinformatics as first author (open access at https://www.frontiersin.org/articles/10.3389/fninf.2018.00094/full) .- Responsible of a project mixing Magnetic Resonance Images and histology, aiming to discover new technics for detection of neurofibrillary tangles (aggregation of Tau proteins) in mice brain using deep learning algorithms.- Active developper of Clinica http://www.clinica.run, a software platform for clinical neuroimaging studies. This involvement has various forms: - pipeline and feature developement - responsible for continuous integration: implementation from scratch for this project - bug fixes and technical support for users - code reviews for pull requests Show less

Région De Paris, France

In the heart of the Pitié Salpetrière Hospital, Paris, lies the ICM (institut du cerveau et de la moelle epinière / brain and spinal cord institute). In a multicultural team of PhD students, post doctoral researcher and engineers, our team focuses on building strong and innovative models to better understand neurodegenerative diseases. A wide spectrum of fields is used to best match our needs : mathematics, physics, computer vision, machine learning and clinical studies are necessary to produce… Show more In the heart of the Pitié Salpetrière Hospital, Paris, lies the ICM (institut du cerveau et de la moelle epinière / brain and spinal cord institute). In a multicultural team of PhD students, post doctoral researcher and engineers, our team focuses on building strong and innovative models to better understand neurodegenerative diseases. A wide spectrum of fields is used to best match our needs : mathematics, physics, computer vision, machine learning and clinical studies are necessary to produce results that will help the medical world to better predict those diseases. My role in this adventure is to see how cortical signal from PET data can be projected onto the cortex surface, and then enlighten differences between subjects and control population Show less

Région De Grenoble, France

Participation in the development of a cross-platform library of algorithms specialized in image processing.Development of a specific blending algorithm, integrated in the final product. Realization of feasibility and characterization studies, throughout harsh validation process. Then I developed it in C++ using OpenCV libraries for fast execution.Production of unit tests to guarantee the synchronization between the different languages used in the process.All those operations were… Show more Participation in the development of a cross-platform library of algorithms specialized in image processing.Development of a specific blending algorithm, integrated in the final product. Realization of feasibility and characterization studies, throughout harsh validation process. Then I developed it in C++ using OpenCV libraries for fast execution.Production of unit tests to guarantee the synchronization between the different languages used in the process.All those operations were broadly documented. Show less

Région De Lyon, France

Realisation of an image processing algorithm with MATLAB to monitor the state of a metal hoven (fish-eye, orthorectification, stitching and default detection)

Lyon, France

A 6-month internship in French railway Service in the electrical railway signalling department. Realization of criticity studies on two different lines: Aubagne to Cannes and Paris to Lyon, using statistical tools developed at SNCF. The aim was for me to propose investments in order to reduce regularity losses for the users. I was also in charge of training of the people who were going to use the same tools. I provided them with analysis elements to make the best of them.