C. Lartizien CNRS Research Director
Research interest
I am a CNRS Research Director (section 7). I am conducting research at the CREATIS laboratory in Lyon, France, whose aim is to develop image processing methods for medical imaging.
My current research interests focus on machine learning methods for medical image analysis.
The clinical applications concern the prototyping of diagnosis and prognosis models for cancer and brain pathology based on multimodality medical imaging.
NEWS
April 24 Our paper entitled Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains has been accepted at MIDL'24 conference that will be in Paris early July 2024.
April 24 Nicolas Pinon successfully defended his PhD entitled Unsupervised anomaly detection in neuroimaging: contributions to representation learning and density support estimation in the latent space. Congrats!
March 24 I was a program chair at the AISSAI anomaly detection workshop in Clermont-Ferrand and gave a lecture on UAD for medical image analysis.
Oct 23 Robin Trombetta was hired as a PhD student in my group to work on heterogeneous multimodal self-supervised representation learning for zero-shot diagnosis and prognosis of brain pathologies.
Oct 23 Geoffroy Oudoumanessah presented his work at MICCAI'23 in Vancouver on frugal unsupervised detection of subtle abnormalities in medical imaging.
Aug 23 Nicolas Pinon and Robin Trombetta presented our work at GRETSI'23 on unsupervised anomaly detection for industrial image analysis based on the MVTEC Ad dataset.
July 23 I will be a Program Chair at MIDL'24!
July 23 Nicolas Pinon and Robin Trombetta presented our work at MIDL'23 on unsupervised anomaly detection on brain MRI White Matter Hyperintensities based on one-class SVM and siamese neural network latent space.
July 23 Matthis Manthe presented his work at MIDL'23 on on clustered federated personalization in brain tumor segmentation based on radiomics.
April 23 Nicolas Pinon presented our work at ISBI'23 on unsupervised anomaly detection based on auto-encoder analysis for the detection of de novo Parkinson patients.
Oct 22 Robin Trombetta was hired as a as a research engineer on the ANR RHU PERFUSE project to work on weakly supervised segmentation of prostate cancer in multiparametric MRI.
March 22 Audrey Duran defended her PhD thesis on on deep models for prostate cancer mapping.
Oct 21 Matthis Manthe was hired as a PhD student to work on federated learning for medical imaging in collaboration with Stefan Duffner from LIRIS lab granted by the ANR IADoc@UdL program.
