Published on in Vol 3, No 1 (2022): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36660, first published .
Multiple-Inputs Convolutional Neural Network for COVID-19 Classification and Critical Region Screening From Chest X-ray Radiographs: Model Development and Performance Evaluation

Multiple-Inputs Convolutional Neural Network for COVID-19 Classification and Critical Region Screening From Chest X-ray Radiographs: Model Development and Performance Evaluation

Multiple-Inputs Convolutional Neural Network for COVID-19 Classification and Critical Region Screening From Chest X-ray Radiographs: Model Development and Performance Evaluation

Journals

  1. Lins I, Maior C, Raupp L, Moura M, Moura M, Rodrigues M, Jornada T. Selection and classification of COVID-19 CT images using artificial intelligence: A case study in a Brazilian university hospital. Biomedical Signal Processing and Control 2024;97:106687 View

Conference Proceedings

  1. Wang Y, Feng A, Xue Y, Shao M, Blitz A, Luciano M, Carass A, Prince J, Išgum I, Colliot O. Medical Imaging 2023: Image Processing. Investigation of probability maps in deep-learning-based brain ventricle parcellation View
  2. Wang Y, Yi J, Išgum I, Colliot O. Medical Imaging 2023: Image Processing. Deep learning-based image registration method: with application to Scanning Laser Ophthalmoscopy (SLO) longitudinal images View