4 papers
Frequency selection for the diagnostic characterization of human brain tumours
Carlos Arizmendi, Alfredo Vellido, Enrique Romero
The diagnosis of brain tumours is an extremely sensitive and complex clinical task that must rely upon information gathered through non-invasive techniques. One such technique is m…
Medical Support System for Spontaneous Breathing Trial Prediction Using Nonuniform Discrete Fourier Transform
Hernando Gonzalez, Carlos Julio Arizmendi, Beatriz F. Giraldo
Spontaneous breathing trials (SBTs) represent a pivotal phase in the weaning process of mechanically ventilated patients. The objective of these trials is to assess patients readin…
Diagnosis of Patients with Viral, Bacterial, and Non-Pneumonia Based on Chest X-Ray Images Using Convolutional Neural Networks
Carlos Arizmendi, Jorge Pinto, Alejandro Arboleda +1
According to the World Health Organization (WHO), pneumonia is a disease that causes a significant number of deaths each year. In response to this issue, the development of a decis…
Development of a Deep Learning Model for the Prediction of Ventilator Weaning
Hernando Gonzalez, Carlos Julio Arizmendi, Beatriz F. Giraldo
The issue of failed weaning is a critical concern in the intensive care unit (ICU) setting. This scenario occurs when a patient experiences difficulty maintaining spontaneous breat…