José Ignacio Orlando
Contact
jiorlando@conicet.gov.ar
Pladema (new wing)
Google Scholar
Bio
José Ignacio Orlando (Nacho) is an Associate Researcher from CONICET, a teaching assistant at UNICEN and professor of Machine Learning and Computer Vision at DUIA. His main research interests involve the application of machine learning and computer vision techniques to process biomedical signals, with applications in ophthalmology and medicine in general. He is also a Co-Founder of retinar, a project that aims to develop an AI based platform for teleophthalmology of diabetic retinopathy. He holds a Ph.D. in Computational and Industrial Mathematics and a Sotware Engineering degree, both from UNICEN.
Relevant publications
(For a more updated list, see my Google Scholar profile)
Machine learning for filtering out false positive grey matter atrophies in single subject voxel based morphometry: A simulation based study
Hernán C. Külsgaard, José Ignacio Orlando, Mariana Bendersky, Juan P. Princich, Luis S.R. Manzanera, Alberto Vargas, Silvia Kochen, Ignacio Larrabide
Journal of the Neurological Sciences, 2021. (Article)
SketchZooms: Deep multi-view descriptors for matching line drawings
Pablo Navarro, José Ignacio Orlando, Claudio Delrieux, Emmanuel Iarussi
Computer Graphics Forum, 2020 (Article)
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs
José Ignacio Orlando, Huazhu Fu, João Barbossa Breda, Karel van Keer, …, Hrvoje Bogunović
Medical Image Analysis, 2019 (Article)
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT
Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunović, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth
IEEE Transactions on Medical Imaging, 2019 (Article)
Multiclass segmentation as multitask learning for drusen segmentation in retinal optical coherence tomography
Rhona Asgari, José Ignacio Orlando, Sebastian Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunović
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), 2019 (Article)
Towards a glaucoma risk index based on simulated hemodynamics from fundus images
José Ignacio Orlando, João Barbosa Breda, Karel van Keer, Matthew B Blaschko, Pablo J Blanco, Carlos A Bulant
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), 2018 (Article)
A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images
José Ignacio Orlando, Elena Prokofyeva, Matthew Blaschko
IEEE Transactions on Biomedical Engineering, 2017 (Article)
Learning fully-connected CRFs for blood vessel segmentation in retinal images
José Ignacio Orlando, Matthew Blaschko
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2014), 2014 (Article)