Biomedical Imaging, Vision and Learning Laboratory (BIVL2ab)

The Biomedical Imaging, Vision and Learning Laboratory (BIVL²ab) Research Group is dedicated primarily to generating new knowledge by addressing a wide range of biomedical challenges through the use of visual information. Its work spans from the acquisition and analysis of medical images and videos to the understanding of complex spatiotemporal patterns within the broader field of computer vision, using mathematical models of image formation and inverse problems for image reconstruction. To achieve this, the group employs machine learning models and artificial intelligence algorithms to develop innovative approaches to solving problems in these areas.

Currently, the group is organized into several student research groups focused on different biomedical applications, including radiographic imaging, organ video analysis, histopathological imaging, and virtual reality. It collaborates with strategic partners such as FOSCAL Clinic and the Instituto de Gastroenterología y Hepatología del Oriente (IGHO). In addition, the group maintains international collaborations with institutions such as the Institut Polytechnique de Paris and has received multiple recognitions for the quality of its research, including seven funded research projects and the development of an AI-based TLR system.