Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network. - Gonçalo Marques; Deevyankar Agarwal; Isabel de la Torre Díez (Appl. Soft Comput., 2020)

Transfer Learning for Alzheimer's Disease through Neuroimaging Biomarkers: A Systematic Review. - Deevyankar Agarwal; Gonçalo Marques; Isabel de la Torre Díez; Manuel A. Franco Martín; Begoña García Zapirain; Francisco Martín-Rodríguez (Sensors, 2021)

Comparison of Machine Learning Algorithms in the Prediction of Hospitalized Patients with Schizophrenia. - Susel Góngora Alonso; Gonçalo Marques; Deevyankar Agarwal; Isabel de la Torre Díez; Manuel Franco-Martin (Sensors, 2022)

DEEP-AD: The deep learning model for diagnostic classification and prognostic prediction of alzheimer's disease. - Deevyankar Agarwal (2023)

Automated Medical Diagnosis of Alzheimer's Disease Using an Efficient Net Convolutional Neural Network. - Deevyankar Agarwal; Manuel Álvaro Berbís; Antonio Luna; Vivian Lipari; Julien Brito Ballester; Isabel de la Torre Díez (J. Medical Syst., 2023)

Breast Carcinoma Prediction Through Integration of Machine Learning Models. - Rosmeri Martínez-Licort; Carlos de la Cruz León; Deevyankar Agarwal; Benjamín Sahelices; Isabel de la Torre Díez; José Pablo Miramontes-González; Mohammed Amoon (IEEE Access, 2024)

Ensemble methods for computed tomography scan images to improve lung cancer detection and classification. - Syeda Reeha Quasar; Rishika Sharma; Aayushi Mittal; Moolchand Sharma; Deevyankar Agarwal; Isabel de la Torre Díez (Multim. Tools Appl., 2024)