Three-dimensional skeletonization and symbolic description in vascular imaging: preliminary results. - L. Verscheure; Laurent Peyrodie; Anne-Sophie Dewalle; Nicolas Reyns; Nacim Betrouni; Serge Mordon; Maximilien Vermandel (Int. J. Comput. Assist. Radiol. Surg., 2013)

A fast and fully automated approach to segment optic nerves on MRI and its application to radiosurgery. - Jose Dolz; Henri-Arthur Leroy; Nicolas Reyns; Laurent Massoptier; Maximilien Vermandel (ISBI, 2015)

Phantom and non-rigid registration to tackle distorsions from MRI in stereotactic conditions: Proof of concept and preliminary results. - Maximilien Vermandel; Grégory Baert; Nicolas Reyns; Nacim Betrouni (ISBI, 2015)

Supervised machine learning-based classification scheme to segment the brainstem on MRI in multicenter brain tumor treatment context. - Jose Dolz; Anne Laprie; Soléakhéna Ken; Henri-Arthur Leroy; Nicolas Reyns; Laurent Massoptier; Maximilien Vermandel (Int. J. Comput. Assist. Radiol. Surg., 2016)

Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: A clinical study. - Jose Dolz; Nacim Betrouni; Mathilde Quidet; Dris Kharroubi; Henri-Arthur Leroy; Nicolas Reyns; Laurent Massoptier; Maximilien Vermandel (Comput. Medical Imaging Graph., 2016)

A deep learning classification scheme based on augmented-enhanced features to segment organs at risk on the optic region in brain cancer patients. - Jose Dolz; Nicolas Reyns; Nacim Betrouni; Dris Kharroubi; Mathilde Quidet; Laurent Massoptier; Maximilien Vermandel (CoRR, 2017)