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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Machine learning for computer-aided polyp detection using wavelets and content-based imageMichelle Viscaino, Fernando Auat CheeinWorld Journal of Gastroenterology|November 1, 2021
Artificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages and misconceptionsMichelle Viscaino, Javier Torres Bustos, Pablo Muñoz, et al.Plos One|March 13, 2020
Computer-aided diagnosis of external and middle ear conditions: A machine learning approachMichelle Viscaino, Juan C Maass, Paul H Delano, et al.Diagnostics (Basel, Switzerland)|April 23, 2022
Color Dependence Analysis in a CNN-Based Computer-Aided Diagnosis System for Middle and External Ear DiseasesMichelle Viscaino, Matias Talamilla, Juan Cristóbal Maass, et al.Frontiers in Plant Science|June 7, 2023
Machinery for potato harvesting: a state-of-the-art reviewCiaran Miceal Johnson, Fernando Auat CheeinISA Transactions|September 20, 2023
Absolute joint-angle estimation of Generalised N-Trailer vehicles equipped with incremental encoders using moving horizon estimationNestor Deniz, Franco Jorquera, Fernando Auat CheeinJournal of Neural Engineering|January 15, 2015
Human-inspired sound environment recognition system for assistive vehiclesEduardo González Vidal, Ernesto Fredes Zarricueta, Fernando Auat CheeinPlants (Basel, Switzerland)|April 30, 2021
Retrieval of Vegetation Indices Related to Leaf Water Content from a Single Index: A Case Study of <i>Eucalyptus globulus</i> (Labill.) and <i>Pinus radiata</i> (D. Don.)Juan Villacrés, Andrés Fuentes, Pedro Reszka, et al.Plos One|March 27, 2026
Prediction of vegetation indices from down-sampled hyperspectral data using machine learning: A novel framework for olive crop monitoringJuan Estrada, Necati Cetin, Kamil Sacilik, et al.Plos One|March 5, 2026
Integrated microwave cavity perturbation sensor for nondestructive estimation of moisture content of grains: A case study on wheat and chickpeaKamil Sacilik, Necati Cetin, Burak Ozbey, et al.Pageof 3