| An overview of deep learning in medical imaging A Anaya-Isaza, L Mera-Jiménez, M Zequera-Diaz Informatics in medicine unlocked 26, 100723, 2021 | 100 | 2021 |
| Data augmentation and transfer learning for brain tumor detection in magnetic resonance imaging A Anaya-Isaza, L Mera-Jiménez IEEE Access 10, 23217-23233, 2022 | 74 | 2022 |
| Comparison of current deep convolutional neural networks for the segmentation of breast masses in mammograms A Anaya-Isaza, L Mera-Jimenez, JM Cabrera-Chavarro, L Guachi-Guachi, ... IEEE Access 9, 152206-152225, 2021 | 22 | 2021 |
| Optimizing MRI-based brain tumor classification and detection using AI: A comparative analysis of neural networks, transfer learning, data augmentation, and the cross … A Anaya-Isaza, L Mera-Jiménez, L Verdugo-Alejo, L Sarasti European Journal of Radiology Open 10, 100484, 2023 | 18 | 2023 |
| CrossTransUnet: a new computationally inexpensive tumor segmentation model for brain MRI A Anaya-Isaza, L Mera-Jiménez, A Fernandez-Quilez IEEE Access 11, 27066-27085, 2023 | 5 | 2023 |
| Volume Reduction Techniques for the Classification of Independent Components of rs-fMRI Data: a Study with Convolutional Neural Networks L Mera Jiménez, JF Ochoa Gómez Neuroinformatics 20 (1), 73-90, 2022 | 1 | 2022 |
| Redes neuronales convolucionales para la clasificación de componentes independientes de rs-fMRI L Mera-Jiménez, JF Ochoa-Gómez TecnoLógicas 24 (50), 97-115, 2021 | 1 | 2021 |
| Convolutional Neural Network for the Classification of Independent Components of rs-fMRI L Mera-Jiménez, JF Ochoa-Gómez TecnoLógicas 24 (50), 97-115, 2021 | 1 | 2021 |
| Fatigue Detection in Anaesthesiologists Using Digital Image Processing Techniques JA Vasquez-Lopez, R Vargas-Cañas, SL Mera-Jiménez VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná …, 2015 | 1 | 2015 |
| Deep Learning for the Classification of Independent Components of rs-fMRI SLM Jimenez, JO Gómez Revista Argentina de Bioingeniería 25 (1), 33-40, 2021 | | 2021 |
| Impacto de los métodos de eliminación de artefactos sobre la reproducibilidad en las métricas obtenidas en imágenes de resonancia magnética funcional en estado de reposo SL Mera Jiménez Grupo de Investigación en Bioinstrumentación e Ingeniería Clínica (GIBIC), 2021 | | 2021 |
| An overview of deep learning in medical image classification and segmentation A Anaya-Isaza, LM Jiménez, MZ Diaz | | |
Andres Anaya IsazaScientist, Pontificia Universidad Javeriana - Bogotá D.C.在 javeriana.edu.co 的电子邮件经过验证
