Number of documents

6

Olivier Colliot - Research Director at CNRS - ARAMIS Lab (CNRS/INRIA/Inserm/UPMC)


Research Director at CNRS

 

Head of the ARAMIS Lab, a joint team between CNRSInriaInserm and University Pierre and Marie Curie at the Brain and Spine Institute (ICM), in co-direction with Didier Dormont.

 


"Theodoros Evgeniou"   

Journal articles1 document

  • Jorge Samper-Gonzalez, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, et al.. Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data. NeuroImage, Elsevier, 2018, 183, pp.504-521. ⟨10.1016/j.neuroimage.2018.08.042⟩. ⟨hal-01858384⟩

Conference papers5 documents

  • Jorge Samper-Gonzalez, Ninon Burgos, Simona Bottani, Marie-Odile Habert, Theodoros Evgeniou, et al.. Predicting progression to Alzheimer’s disease from clinical and imaging data: a reproducible study. OHBM 2019 - Organization for Human Brain Mapping Annual Meeting 2019, Jun 2019, Rome, Italy. ⟨hal-02142315⟩
  • Jorge Samper-Gonzalez, Ninon Burgos, Simona Bottani, Marie-Odile Habert, Theodoros Evgeniou, et al.. Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data. SPIE Medical Imaging 2019, Feb 2019, San Diego, United States. ⟨hal-02025880v2⟩
  • Jorge Samper-Gonzalez, Ninon Burgos, Simona Bottani, Marie-Odile Habert, Theodoros Evgeniou, et al.. Three simple ideas for predicting progression to Alzheimer's disease. 8th International Workshop on Pattern Recognition in Neuroimaging, Jun 2018, Singapour, Singapore. ⟨hal-01891996⟩
  • Jorge Samper-Gonzalez, Simona Bottani, Ninon Burgos, Sabrina Fontanella, Pascal Lu, et al.. Reproducible evaluation of Alzheimer's Disease classification from MRI and PET data. Annual meeting of the Organization for Human Brain Mapping - OHBM 2018, Jun 2018, Singapour, Singapore. ⟨hal-01761666⟩
  • Jorge Samper-Gonzalez, Ninon Burgos, Sabrina Fontanella, Hugo Bertin, Marie-Odile Habert, et al.. Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease. Machine Learning in Medical Imaging 2017, Sep 2017, Quebec City, Canada. pp.8. ⟨hal-01578479⟩