Predicting body measures from 2D images using Convolutional Neural Networks. - João W. M. de Souza; Gabriel Bandeira Holanda; Roberto F. Ivo; Shara S. A. Alves; Suane Pires P. da Silva; Virgínia Xavier Nunes; Luiz Lannes Loureiro; C. H. Dias-Silva; Pedro Pedrosa Rebouças Filho (IJCNN, 2020)

Fast fully automatic heart fat segmentation in computed tomography datasets. - Victor Hugo C. de Albuquerque; Douglas de A. Rodrigues; Roberto F. Ivo; Solon Alves Peixoto; Tao Han 004; Wanqing Wu; Pedro Pedrosa Rebouças Filho (Comput. Medical Imaging Graph., 2020)

Fast fully automatic skin lesions segmentation probabilistic with Parzen window. - João Victor Souza das Chagas; Roberto F. Ivo; Matheus T. Guimarães; Douglas de A. Rodrigues; Elizângela de S. Rebouças; Pedro Pedrosa Rebouças Filho (Comput. Medical Imaging Graph., 2020)

Cascaded Volumetric Fully Convolutional Networks for Whole-Heart and Great Vessel 3D segmentation. - Tao Han 004; Roberto F. Ivo; Douglas de A. Rodrigues; Solon Alves Peixoto; Victor Hugo C. de Albuquerque; Pedro Pedrosa Rebouças Filho (Future Gener. Comput. Syst., 2020)

A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system. - Douglas de A. Rodrigues; Roberto F. Ivo; Suresh Chandra Satapathy; Shuihua Wang; D. Jude Hemanth; Pedro Pedrosa Rebouças Filho (Pattern Recognit. Lett., 2020)

A new approach for the detection of pneumonia in children using CXR images based on an real-time IoT system. - João Victor Souza das Chagas; Douglas de A. Rodrigues; Roberto F. Ivo; Mohammad Mehedi Hassan; Victor Hugo C. de Albuquerque; Pedro Pedrosa Rebouças Filho (J. Real Time Image Process., 2021)