A Comparison of Saliency Methods for Deep Learning Explainability. - Salamata Konate; Léo Lebrat; Rodrigo Santa Cruz; Elliot Smith 003; Andrew P. Bradley; Clinton Fookes; Olivier Salvado (DICTA, 2021)

Smocam: Smooth Conditional Attention Mask For 3d-Regression Models. - Salamata Konate; Léo Lebrat; Rodrigo Santa Cruz; Pierrick Bourgeat; Vincent Doré; Jurgen Fripp; Andrew P. Bradley; Clinton Fookes; Olivier Salvado (ISBI, 2021)

Bias Identification with RankPix Saliency. - Salamata Konate; Léo Lebrat; Rodrigo Santa Cruz; Clinton Fookes; Andrew P. Bradley; Olivier Salvado (ICASSP, 2023)

DBCE : A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations. - Joshua Peters; Léo Lebrat; Rodrigo Santa Cruz; Aaron Nicolson; Gregg Belous; Salamata Konate; Parnesh Raniga; Vincent Doré; Pierrick Bourgeat; Jurgen Mejan-Fripp; Clinton Fookes; Olivier Salvado (WACV, 2023)

Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis. - Olivier Salvado; Salamata Konate; Rodrigo Santa Cruz; Andrew P. Bradley; Judy Wawira Gichoya; Laleh Seyyed-Kalantari; Brandon J. Price; Clinton Fookes; Léo Lebrat (ISBI, 2024)