| Selecting training samples for ovarian cancer classification via a semi-supervised clustering approach J Salguero, P Prasanna, G Corredor, A Cruz-Roa, D Becerra, E Romero Medical Imaging 2022: Digital and Computational Pathology 12039, 20-24, 2022 | 1 | 2022 |
| Automatic detection of perturbed magnetic resonance signal J Salguero, N Velasco, E Romero 12th International Symposium on Medical Information Processing and Analysis …, 2017 | 1 | 2017 |
| Data distillation in computational pathology by choosing few representants of the original variance: A use case in ovarian cancer J Salguero, P Prasanna, G Corredor, A Cruz-Roa, D Becerra, E Romero Expert Systems with Applications 245, 123028, 2024 | | 2024 |
| AI-derived features of 3D glandular networks are associated with likelihood of biochemical recurrence post radical prostatectomy J Salguero, H Abdeltawab, K Hammouda, G Corredor, S Hawley, P Mutha, ... Cancer Research 84 (6_Supplement), 3516-3516, 2024 | | 2024 |
| Enhancing DW images spatial resolution using correlated gradient information J Salguero, N Velasco, E Romero 15th International Symposium on Medical Information Processing and Analysis …, 2020 | | 2020 |
| Detection of MRI artifacts produced by intrinsic heart motion using a saliency model J Salguero, N Velasco, E Romero 13th International Conference on Medical Information Processing and Analysis …, 2017 | | 2017 |
| Diseño de un prototipo de sistema de comunicación personal mediante el uso de señales de electroencefalografía (EEG) J Salguero López Facultad de Ingenieríad, 0 | | |
