Modeling and removing depth variant blur in 3D fluorescence microscopy. - Saima Ben Hadj; Laure Blanc-Féraud (ICASSP, 2012)

Depth-variant image restoration in 3D fluorescence microscopy: Two approaches under Gaussian and Poissonian noise conditions. - Saima Ben Hadj; Laure Blanc-Féraud; Elie Maalouf; Bruno Colicchio; Alain Dieterlen (ISBI, 2012)

Blind restoration of confocal microscopy images in presence of a depth-variant blur and Poisson noise. - Saima Ben Hadj; Laure Blanc-Féraud; Gilles Aubert; Gilbert Engler (ICASSP, 2013)

Blind depth-variant blur removal in confocal microscopy. - Saima Ben Hadj; Laure Blanc-Féraud; Gilles Aubert; Gilbert Engler; Elie Maalouf; Bruno Colicchio; Alain Dieterlen (ISBI, 2013)

Space Variant Blind Image Restoration. - Saima Ben Hadj; Laure Blanc-Féraud; Gilles Aubert (SIAM J. Imaging Sci., 2014)

A Partial Label-Based Machine Learning Approach For Cervical Whole-Slide Image Classification: The Winning TissueNet Solution*. - Rutger H. J. Fick; Brice Tayart; Capucine Bertrand; Solene Chan-Lang; Tina Rey; Francesco Ciompi; Cyprien Tilmant; Isabelle Farré; Saima Ben Hadj (EMBC, 2021)

Domain-Specific Cycle-GAN Augmentation Improves Domain Generalizability for Mitosis Detection. - Rutger H. J. Fick; Alireza Moshayedi; Gauthier Roy; Jules Dedieu; Stéphanie Petit; Saima Ben Hadj (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Robust Mitosis Detection Using a Cascade Mask-RCNN Approach With Domain-Specific Residual Cycle-GAN Data Augmentation. - Gauthier Roy; Jules Dedieu; Capucine Bertrand; Alireza Moshayedi; Ali Mammadov; Stéphanie Petit; Saima Ben Hadj; Rutger H. J. Fick (CoRR, 2021)

Mitosis domain generalization in histopathology images - The MIDOG challenge. - Marc Aubreville; Nikolas Stathonikos; Christof A. Bertram; Robert Klopfleisch; Natalie D. ter Hoeve; Francesco Ciompi; Frauke Wilm; Christian Marzahl; Taryn A. Donovan; Andreas K. Maier; Jack Breen; Nishant Ravikumar; et al. (CoRR, 2022)

Interpretable HER2 scoring by evaluating clinical Guidelines through a weakly supervised, constrained Deep Learning Approach. - Manh Dan Pham; Cyprien Tilmant; Stéphanie Petit; Isabelle Salmon; Saima Ben Hadj; Rutger H. J. Fick (CoRR, 2022)

Enabling Collagen Quantification on HE-Stained Slides through Stain Deconvolution and Restained HE-HES. - Guillaume Balezo; Christof A. Bertram; Cyprien Tilmant; Stéphanie Petit; Saima Ben Hadj; Rutger H. J. Fick (ISBI, 2023)

Mitosis domain generalization in histopathology images - The MIDOG challenge. - Marc Aubreville; Nikolas Stathonikos; Christof A. Bertram; Robert Klopfleisch; Natalie D. ter Hoeve; Francesco Ciompi; Frauke Wilm; Christian Marzahl; Taryn A. Donovan; Andreas K. Maier; Jack Breen; Nishant Ravikumar; et al. (Medical Image Anal., 2023)

Interpretable HER2 scoring by evaluating clinical guidelines through a weakly supervised, constrained deep learning approach. - Manh Dan Pham; Guillaume Balezo; Cyprien Tilmant; Stéphanie Petit; Isabelle Salmon; Saïma Ben Hadj; Rutger H. J. Fick (Comput. Medical Imaging Graph., 2023)