José Ignacio Orlando
researcher
Facts
11 properties- Instance of
- human
- Occupation
- computer scientist
- Employer
- Medical University of Vienna (2018–2019), National Scientific and Technical Research Council (2013–2018), Katholieke Universiteit Leuven (2016–2016), Inria Saclay - Île-de-France Research Centre (2013–2013)
- Doctoral advisor
- Matthew B. Blaschko, Mariana del Fresno[3][4]
- joseignacio.orlando
- Github username
- ignaciorlando
- Given name
- José Ignacio[7]
- ignaciorlando, ignaciorlando
🏷️ Also known as
en José Ignacio Orlando
🔖 Identifiers · 11
- ORCID iD
- 0000-0001-9734-5571
- Dimensions author ID
- 01205244512.97
- Facebook username
- joseignacio.orlando
- GitHub account
- ignaciorlando
- Google Knowledge Graph ID
- /g/11fv1gvl8y
- Google Scholar author ID
- 2N3oD28AAAAJ
- IEEE Xplore author ID
- 37086200012
- LinkedIn personal profile ID
- josé-ignacio-orlando-560b8040
- Mathematics Genealogy Project ID
- 222318
- Scopus author ID
- 56352187400
- X (Twitter) username
- ignaciorlando (2016–present), ignaciorlando (2016–present)
🔗 Connections
Author of 15
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images,
A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images,
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography,
Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection,
Assessment of image features for vessel wall segmentation in intravascular ultrasound images,
Automated lumen segmentation using multi-frame convolutional neural networks in intravascular ultrasound datasets,
Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning,
Convolutional neural network transfer for automated glaucoma identification
+7 more
← Authored by 15
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images,
A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images,
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography,
Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection,
Assessment of image features for vessel wall segmentation in intravascular ultrasound images,
Automated lumen segmentation using multi-frame convolutional neural networks in intravascular ultrasound datasets,
Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning,
Convolutional neural network transfer for automated glaucoma identification
+7 more
Affiliated with 7
Medical University of Vienna,
National Scientific and Technical Research Council,
National University of Central Buenos Aires,
Centro Científico Tecnológico - La Plata,
Centro Científico Tecnológico - San Juan,
Centro Científico Tecnológico - Tandil,
Christian Doppler Laboratory for Thermoelectricity
Employer 3
Doctoral advisor 1
Doctoral advisors 1
Instance of 1
Occupation 1
Sex or gender 1
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Summary
José Ignacio Orlando worked as a computer scientist[1].
Body
Education
Doctoral advisors include Matthew B. Blaschko[3], a researcher[8] and Mariana del Fresno[4].
FAQs
What did José Ignacio Orlando do for work?
José Ignacio Orlando worked as computer scientist[1].
Where did José Ignacio Orlando go to school?
José Ignacio Orlando was educated at National University of Central Buenos Aires[2].