Salamata Konate

According to our database, Salamata Konate authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Bias Identification with RankPix Saliency.

Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Andrew P. Bradley, Olivier Salvado

Proceedings of the IEEE International Conference on Acoustics, 2023

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

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A Comparison of Saliency Methods for Deep Learning Explainability.

Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz, Elliot Smith, Andrew P. Bradley, Clinton Fookes, Olivier Salvado

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021