Emilie Niaf

Handling uncertainties in SVM classification

Carole Lartizien, Stéphane Canu, Rémi Flamary, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

Kernel-Based Learning From Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging

Carole Lartizien, Stéphane Canu, Rémi Flamary, 2014, IEEE Transactions on Image Processing.

Computer aided staging of lymphoma patients with FDG PET/CT imaging based on textural information

Carole Lartizien, Emilie Niaf, Matthieu Rogez, 2012, ISBI.

SVM with feature selection and smooth prediction in images: Application to CAD of prostate cancer

Carole Lartizien, Alain Rakotomamonjy, Rémi Flamary, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Computer-Aided Staging of Lymphoma Patients With FDG PET/CT Imaging Based on Textural Information

Carole Lartizien, Emilie Niaf, Matthieu Rogez, 2012, IEEE Journal of Biomedical and Health Informatics.

Computer-aided diagnosis of prostate cancer in the peripheral zone using multiparametric MRI

Carole Lartizien, Emilie Niaf, Olivier Rouvière, 2012, Physics in medicine and biology.

Computer-aided diagnosis for prostate cancer detection in the peripheral zone via multisequence MRI

Carole Lartizien, Emilie Niaf, Olivier Rouvière, 2011, Medical Imaging.

Prostate focal peripheral zone lesions: characterization at multiparametric MR imaging--influence of a computer-aided diagnosis system.

Carole Lartizien, Emilie Niaf, Olivier Rouvière, 2014, Radiology.

Influence of imaging and histological factors on prostate cancer detection and localisation on multiparametric MRI: a prospective study

Emilie Niaf, Rémi Souchon, Olivier Rouvière, 2013, European Radiology.