Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: A clinical studyJosé Dolz, Maximilien Vermandel, Mathilde Quidet et al.|Computerized Medical Imaging and Graphics|2016Cited by 48
Supervised machine learning-based classification scheme to segment the brainstem on MRI in multicenter brain tumor treatment contextJosé Dolz, Maximilien Vermandel, Nicolas Reyns et al.|International Journal of Computer Assisted Radiology and Surgery|2015Cited by 28
A fast and fully automated approach to segment optic nerves on MRI and its application to radiosurgeryJosé Dolz, Maximilien Vermandel, Henri‐Arthur Leroy et al.|Unknown|2015Cited by 17
A deep learning classification scheme based on augmented-enhanced features to segment organs at risk on the optic region in brain cancer patientsJosé Dolz, Maximilien Vermandel, Nicolas Reyns et al.|arXiv (Cornell University)|2017Cited by 8
A deep learning classification scheme based on augmented-enhanced\n features to segment organs at risk on the optic region in brain cancer\n patientsJosé Dolz, Maximilien Vermandel, Nicolas Reyns et al.|arXiv (Cornell University)|2017Cited by 7