Deep Recognition-based Character Segmentation in Handwritten Syriac Manuscripts. - Rita Fermanian; Charles Yaacoub; Adib Akl; Petra Bilane (IPTA, 2020)

Regularizing the Deep Image Prior with a Learned Denoiser for Linear Inverse Problems. - Rita Fermanian; Mikael Le Pendu; Christine Guillemot (MMSP, 2021)

A Deep Convolutional Neural Network for Character Recognition in Ancient Syriac Manuscripts. - Rita Fermanian; Charles Yaacoub; Adib Akl; Petra Bilane (MMSP, 2022)

Learned Gradient of a Regularizer for Plug-and-Play Gradient Descent. - Rita Fermanian; Mikael Le Pendu; Christine Guillemot (CoRR, 2022)

SphereDRUNet: A Spherical Denoiser for Omnidirectional Images. - Rita Fermanian; Thomas Maugey; Christine Guillemot (ISMAR-Adjunct, 2023)

Deep learning for inverse problems and application to omnidirectional imaging. (Apprentissage profond pour les problèmes inverses et application à l'imagerie omnidirectionnelle). - Rita Fermanian (2023)

PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent. - Rita Fermanian; Mikael Le Pendu; Christine Guillemot (SIAM J. Imaging Sci., 2023)