C. Lartizien                CNRS Research Associate

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Research interest

I am a CNRS Research Associate (section 7). I am conducting research at the CREATIS laboratory in Lyon, France, whose aim is to develop image processing methods for medical imaging. I am the co-leader of research team Images and Models

My current research interests focus on machine learning methods for medical image analysis. This includes kernel learning approaches (e. g. SVM) for multiclass classification or outlier detection as well as unsupervised deep feature learning. The clinical applications concern the prototyping of computer aided diagnosis systems (CAD) for cancer and brain pathology screening based on multimodality medical imaging.

My previous research projects were in the field of signal detection theory for medical imaging as well as simulation of realistic nuclear imaging databases.

NEWS

[2018-05-22] We are hiring a PhD student starting in fall 2018 in the domain of machine (deep but not only) learning for multiclass learning with hetrogeneous and correlated data. This project is part of the PERFUSE ANR project whose aim is to develop efficient diagnostic and therapeutic tools for prostate cancer. The full description of the project is available here

[2017-12-01] Kick-off meeting of the ANR project entitled PERFUSE

[2017-10-09] We are hiring two master students for internships starting early 2018 on the following topics:

[2017-07-01] : Our paper on the generalization of the SVDD algorithm has just been published in Neurocomputing. Please have a look here.

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