J-BHI publishes original papers describing recent advances in the field of biomedical and health informatics where information and communication technologies intersect with health, healthcare, life sciences and biomedicine.
Ivan Gonzalez-Diaz received the Telecommunications Engineering degree from Universidad de Valladolid, Valladolid, Spain, in 1999, the M.Sc. and Ph.D. degree from Universidad Carlos III de Madrid, Madrid, Spain, in 2007 and 2011, respectively. After holding a postdoc position in the Laboratoire Bordelais de Recherche en Informatique at the University Bordeaux, he currently works as a Visiting Professor at the Signal Theory and Communications Department in Universidad Carlos III de Madrid. His primary research interests include object recognition, semantic image segmentation, scene understanding and content-based image and video retrieval systems. In these fields, he is coauthor of several papers in prestigious international journals, two chapters in international books and a few papers in revised international conferences.
JBHI, Featured ArticlesDermaKNet: Incorporating the knowledge of dermatologists to Convolutional Neural Networks for skin lesion diagnosis
Traditional approaches to automatic diagnosis of skin lesions consisted of classifiers working on sets of hand-crafted features, some of which modeled lesion aspects of special importance for dermatologists. Recently, the broad adoption of Convolutional Neural Networks(CNNs)in most computer vision tasks... Read more
Posted on 4 MAR 2019