Journal Papers
Journal Papers
Villacrés, J., Viscaino, M., Delpiano, J., Vougioukas, S., & Auat Cheein, F. (2023). Apple orchard production estimation using deep learning strategies: A comparison of tracking-by-detection algorithms. Computers and Electronics in Agriculture, 204, 107513. DOI: 10.1016/j.compag.2022.107513
Viscaino, M., Talamilla, M., Maass, J. C., Henríquez, P., Délano, P. H., Auat Cheein, C., & Auat Cheein, F. (2022). Color Dependence Analysis in a CNN-Based Computer-Aided Diagnosis System for Middle and External Ear Diseases. Diagnostics, 12(4), 917. DOI: 10.3390/diagnostics12040917
Talamilla, M., Vargas, I., Cisternas, I., Viscaíno, M., Auat-Cheein, F., Délano, P., & Maass, J. C. (2022). Inteligencia artificial en otorrinolaringología: estado actual y perspectivas a futuro. Revista de otorrinolaringología y cirugía de cabeza y cuello, 82(2), 244-257. DOI: 10.4067/S0718-48162022000200244
Viscaino, M., Maass, J. C., Délano, P. H., & Auat Cheein, F. (2021). Computer-aided Ear Diagnosis System based on CNN-LSTM Hybrid Learning Framework for Video Otoscopy Examination. IEEE Access vol. 9, pp. 161292-161304. DOI: 10.1109/ACCESS.2021.3132133
Viscaino, M., Torres Bustos, J., Munoz, P., Auat Cheein, Cecilia & Auat Cheein, F. (2021). Artificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages and misconceptions. World J Gastroenterol. 2021 Oct 14;27(38):6399-6414. PMID: 34720530; PMCID: PMC8517786. DOI: 10.3748/wjg.v27.i38.6399
Vasconez, J. P., Viscaino, M., Guevara, L., & Cheein, F. A. (2020). A Fuzzy-based driver assistance system using human cognitive parameters and driving style information. Cognitive Systems Research. DOI: 10.1016/j.cogsys.2020.08.007
Viscaino M., Maass J.C., Délano P.H., Torrente M., Stott C., Auat Cheein F. (2020). Computer-aided diagnosis of external and middle ear conditions: A machine learning approach. PLoS ONE 15(3):e0229226. DOI: 10.1371/journal.pone.0229226.
Villacrés, J., Viscaíno, M., Herrera, M., & Camacho, O. (2016). Real-time implementation of different controllers for a two-wheeled inverted pendulum. International Journal of Circuits, Systems and Signal Processing, 10, 281-290.
Villacres, J., Viscaino, M., Herrera, M., & Camacho, O. (2016). Controllers comparison to stabilize a two-wheeled inverted pendulum: PID, LQR and sliding mode control. International Journal of Control Systems and Robotics, 1, 29-36.
Viscaino, M., & Cheein, F. A. (2019, July). Machine learning for computer-aided polyp detection using wavelets and content-based image. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 961-965). IEEE. Berlin, Germany. DOI: 10.1109/EMBC.2019.8857831
Villacrés, J., Visca ́ıno, M., Herrera, M., Camacho, O., & Ch ́avez, D. (2016, October). Two-wheeled inverted pendulum path planning: An experimental validation. In 2016 IEEE Ecuador Technical Chapters Meeting (ETCM) (pp. 1-6). IEEE. Guayaquil, Ecuador. DOI: 10.1109/ETCM.2016.7750840
Michelle Viscaino and Fernando Auat Cheein. System and method for assisting with the diagnosis of otolaryngologic diseases from the analysis of images. PCT Patent Application No. PCT/IB2020/056636
Viscaino, M., Romero, J., & Cheein, F. A. (Available at April 12, 2022). Autonomous service robotics for the book Rapid roboting: recent advances on 3D printers and robotics. Editors: Auat Cheein, Fernando Alfredo, Prieto Cabrera, Pablo Andrés, Fantoni, Gualtiero. eBook ISBN: 978-3-319-40003-7. DOI: 10.1007/978-3-319-40003-7_7