| An overview of deep learning in medical imaging A Anaya-Isaza, L Mera-Jiménez, M Zequera-Diaz Informatics in medicine unlocked 26, 100723, 2021 | 136 | 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 | 113 | 2022 |
| 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 | 40 | 2023 |
| Fourier transform-based data augmentation in deep learning for diabetic foot thermograph classification A Anaya-Isaza, M Zequera-Diaz Biocybernetics and Biomedical Engineering 42 (2), 437-452, 2022 | 34 | 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 | 27 | 2021 |
| Detection of diabetes mellitus with deep learning and data augmentation techniques on foot thermography A Anaya-Isaza, M Zequera-Diaz IEEE Access 10, 59564-59591, 2022 | 19 | 2022 |
| Prototype reduction algorithms comparison in nearest neighbor classification for sensor data: Empirical study P Rosero-Montalvo, DH Peluffo-Ordónez, A Umaquinga, A Anaya, ... 2017 IEEE Second Ecuador Technical Chapters Meeting (ETCM), 1-5, 2017 | 19 | 2017 |
| Interactive data visualization using dimensionality reduction and similarity-based representations P Rosero-Montalvo, P Diaz, JA Salazar-Castro, DF Pena-Unigarro, ... Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2017 | 19 | 2017 |
| Sistema de Riego Basado en la Internet de las cosas (IoT) A Anaya-Isaza, DH Peluffo-Ordoñez, J Ivan-Rios, JA Castro-Silva, ... Conferencias Internacionales FICA, 2016 | 14 | 2016 |
| 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 | 13 | 2023 |
| Interactive visualization methodology of high-dimensional data with a color-based model for dimensionality reduction DF Peña-ünigarro, JA Salazar-Castro, DH Peluffo-Ordónez, ... 2016 XXI Symposium on Signal Processing, Images and Artificial Vision …, 2016 | 10 | 2016 |
| A data set for electric power consumption forecasting based on socio-demographic features: Data from an area of southern Colombia J Parraga-Alava, JD Moncayo-Nacaza, J Revelo-Fuelagán, ... Data in brief 29, 105246, 2020 | 8 | 2020 |
| On the relationship between dimensionality reduction and spectral clustering from a kernel viewpoint DH Peluffo-Ordóñez, MA Becerra, AE Castro-Ospina, X Blanco-Valencia, ... Distributed Computing and Artificial Intelligence, 13th International …, 2016 | 3 | 2016 |
| Estudio comparativo de métodos espectrales para reducción de la dimensionalidad: LDA versus PCA AJ Anaya-Isaza, DH Peluffo-Ordoñez, JC Alvarado-Pérez, J Ivan-Rios, ... INCISCOS 2016, 2017 | 2 | 2017 |
| The Effect of Dimple Insole Design on the Plantar Temperature and Pressure in People with Diabetes and in Healthy Individuals RN Martha Zequera, Alejandro J. Almenar-Arasanz, Javier Alfaro-Santafé ... Sensors - MDPI 25 (5579), 16, 2024 | | 2024 |
| Metodología de visualización de datos utilizando métodos espectrales y basados en divergencias para la reducción interactiva de la dimensión AJ Anaya Isaza Pereira: Universidad Tecnológica de Pereira, 2018 | | 2018 |
| Propuesta de análisis visual de datos en Big Data usando reducción de dimensión interactiva Proposal for visual analysis of Big Data using interactive dimensionality reduction AC Umaquinga-Criollo, DH Peluffo-Ordóñez, PD Rosero-Montalvo, ... | | |
Diego Hernán Peluffo-OrdóñezHead of the SDAS Research Group (https://sdas-group.com/)Email verificata su sdas-group.com
