Biography
Hi there! I’m José Ignacio Orlando, but everyone call me Nacho :)
I’m an Assistant Researcher at CONICET, working as part of Yatiris lab at Pladema Institute in Tandil, Argentina. I’m also Director of the AI Labs at Arionkoder, as part of a CONICET STAN. Furthermore, I’m actively collaborating with the Vienna Reading Center from the Medical University of Vienna, Austria.
My research interests include machine learning and computer vision techniques for medical imaging applications, mostly centered in ophthalmology.
Apart from PLADEMA (where I did my PhD from 2013 to 2017), my previous affiliations include the Center for Learning and Visual Computing in Paris, France (2013, 6 months working as an intern funded by INRIA), ESAT-PSI in KU Leuven, Belgium (2016, 1 month working as a visiting scholar) and the Christian Doppler Laboratory for Ophthalmic Image Analysis (OPTIMA) from the Medical University of Vienna, Austria (2018-2019, almost 2 years working as a postdoctoral researcher).
- Machine/Deep Learning
- Computer Vision
- Ophthalmology
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PhD in Computational and Industrial Mathematics, 2017
UNICEN
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Software Engineer, 2013
UNICEN
Featured Publications
Publications
Although I try to keep this list updated, you better check my Google Scholar profile for a full list
Projects
Recent Posts
Recent & Upcoming Talks
Teaching
These are all the courses in which I worked / I’m working on, either as a Teaching Assistant or as a Professor in charge.
Professor in:
- Computer Vision based on Artificial Neural Networks
Professor in:
- Machine Learning (Aprendizaje de Máquinas)
- Computer Vision with Artificial Intelligence (Visión Computacional basada en Inteligencia Artificial)
Teaching Assistant in:
- Workshop in Computational Mathematics (Taller de Matemática Computacional). 2015-2017.
Teaching Assistant in:
- Information Theory (Teoría de la Información). 2013-2015, 2020-Present.
- Medical Imaging Workshop (Taller de Imágenes Médicas). 2015-2017.
- Software Development Methodologies (Metodologías de Desarrollo de Software). 2010-2013. Ad-honorem.
Supervision
Students and Researchers I’ve supervised
Advisor: José Ignacio Orlando. Programa de Fortalecimiento a la Ciencia y la Tecnología en las Universidades Nacionales. SECAT, UNICEN.
Topic: Deep learning algorithms for computer assisted diagnostic of diabetic retinopathy from fundus pictures.
Advisor: Ignacio Larrabide. Co-advisor: José Ignacio Orlando. Consejo Interuniversitario Nacional (CIN).
Topic: DeepBrain: Machine Learning applied to study brain morphological alterations in MRI scans.
Advisors: José Ignacio Orlando, Carlos A. Bulant. Facultad de Ciencias Exactas, UNICEN.
Topic: Artery/Vein classification from color fundus photographs for blood flow simulations.
Advisors: José Ignacio Orlando, Ignacio Larrabide. Facultad de Ciencias Exactas, UNICEN.
Topic: Stereoscopic camera simulation using neural networks.
Advisor: Ignacio Larrabide. Co-advisor: José Ignacio Orlando.
Topic: Unpaired generative adversarial models for realistic abdominal ultrasound simulation.
Advisors: José Ignacio Orlando, Mariana del Fresno. Facultad de Ciencias Exactas, UNICEN.
Topic: Retinal blood vessel segmentation in ultra-wise field of view angiographies. Finished with grade 10/10.
Advisors: José Ignacio Orlando, Mariana del Fresno. Facultad de Ciencias Exactas, UNICEN.
Topic: Feature engineering for retinal blood vessel segmentation in fundus images. Finished with grade 10/10.
Advisors: José Ignacio Orlando, Mariana del Fresno. Facultad de Ciencias Exactas, UNICEN.
Topic: Integrating fuzzy C-means and deformable models for 3D medical image segmentation. Finished with grade 10/10.
Experience
Research project: retinAR: computing and discovering retinal disease biomarkers from fundus images using deep learning
Responsibilities include:
- Conducting research on retinal image analysis with deep learning
- Modelling AI solutions for ophthalmology problems
- Supervising PhD & undergrad students
Research project: retinAR: computing and discovering retinal disease biomarkers from fundus images using deep learning
Responsibilities include:
- Conducting research on retinal image analysis with deep learning
Research project: Deep learning for retinal OCT image analysis
Responsibilities include:
- Conducting research on photoreceptor segmentation in OCT images using deep learning
- Collaborating with colleagues from the lab in other retinal imaging projects
- Collaborating with Anna Breger and Martin Ehler from University of Vienna
Research project: Red lesion detection in fundus photographs
Responsibilities include:
- Presenting ungoing research to ESAT-PSI staff.
- Closing a publication.
Research project: Retinal image analysis with machine learning. Supervisor: Prof. Matthew B. Blaschko (INRIA)
Responsibilities include:
- Developing a machine learning algorithm for retinal vessel segmentation in fundus images
Research project: Machine learning for ophthalmic screening and diagnostics from fundus images
Supervisors: Prof. Matthew B. Blaschko (KU Leuven) & Prof. Mariana del Fresno (UNICEN)
Contact
- jiorlando@pladema.exa.unicen.edu.ar
- +54 249 438-5690 (2411)
- Campus Universitario Tandil, Paraje Arroyo Seco S/N, Tandil, PBA 7000
- Enter the building through the main door (the one in front of Reforma Universitaria street). Turn left towards the secretaries and ask them where I am ^^