José Ignacio Orlando
José Ignacio Orlando
Assistant Researcher, CONICET / UNICEN
Verified email at - Homepage
Cited by
Cited by
A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images
JI Orlando, E Prokofyeva, M Blaschko
IEEE Transactions on Biomedical Engineering 64 (1), 16-27, 2017
An Ensemble Deep Learning Based Approach for Red Lesion Detection in Fundus Images
JI Orlando, E Prokofyeva, M del Fresno, MB Blaschko
Computer Methods and Programs in Biomedicine 153, 115–127, 2017
Learning fully-connected CRFs for blood vessel segmentation in retinal images
JI Orlando, M Blaschko
Medical Image Computing and Computer Assisted Intervention (MICCAI) (2014 …, 2014
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs
JI Orlando, H Fu, JB Breda, K van Keer, DR Bathula, A Diaz-Pinto, R Fang, ...
Medical image analysis, 101570, 2019
Convolutional neural network transfer for automated glaucoma identification
JI Orlando, E Prokofyeva, M del Fresno, MB Blaschko
12th International Symposium on Medical Information Processing and Analysis …, 2017
Assessment of image features for vessel wall segmentation in intravascular ultrasound images
L Lo Vercio, JI Orlando, M del Fresno, I Larrabide
International journal of computer assisted radiology and surgery 11 (8 …, 2016
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT
P Seeböck, JI Orlando, T Schlegl, SM Waldstein, H Bogunović, ...
IEEE Transactions on Medical Imaging 39 (1), 87-98, 2020
U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans
JI Orlando, P Seeböck, H Bogunović, S Klimscha, C Grechenig, ...
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
Proliferative Diabetic Retinopathy Characterization based on Fractal Features: Evaluation on a Publicly Available Data Set
JI Orlando, K van Keer, J Barbosa Breda, HL Manterola, MB Blaschko, ...
Medical Physics, 2017
Towards a glaucoma risk index based on simulated hemodynamics from fundus images
JI Orlando, JB Breda, K van Keer, MB Blaschko, PJ Blanco, CA Bulant
Medical Image Computing and Computer Assisted Intervention (MICCAI) (2018), 2018
Reducing image variability across OCT devices with unsupervised unpaired learning for improved segmentation of retina
D Romo-Bucheli, P Seeböck, JI Orlando, BS Gerendas, SM Waldstein, ...
Biomedical optics express 11 (1), 346-363, 2020
Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation
P Seeböck, D Romo-Bucheli, S Waldstein, H Bogunović, JI Orlando, ...
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems
A Breger, JI Orlando, P Harar, M Dörfler, S Klimscha, C Grechenig, ...
Journal of Mathematical Imaging and Vision 62, 376-394, 2020
Improving realism in patient-specific abdominal Ultrasound simulation using CycleGANs
S Vitale, JI Orlando, E Iarussi, I Larrabide
International Journal of Computer Assisted Radiology and Surgery, 2019
Retinal blood vessel segmentation in high resolution fundus photographs using automated feature parameter estimation
JI Orlando, M Fracchia, V del Río, M del Fresno
13th International Conference on Medical Information Processing and Analysis, 2017
Multiclass segmentation as multitask learning for drusen segmentation in retinal optical coherence tomography
R Asgari, JI Orlando, S Waldstein, F Schlanitz, M Baratsits, ...
Medical Image Computing and Computer Assisted Intervention (MICCAI) (2019), 2019
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography
H Fu, F Li, X Sun, X Cao, J Liao, JI Orlando, X Tao, Y Li, S Zhang, M Tan, ...
Medical Image Analysis 66, 101798, 2020
Automated quantification of photoreceptor alteration in macular disease using optical coherence tomography and deep learning
JI Orlando, BS Gerendas, S Riedl, C Grechenig, A Breger, M Ehler, ...
Scientific reports 10 (1), 1-12, 2020
Foveal avascular zone segmentation in clinical routine fluorescein angiographies using multitask learning
D Hofer, JI Orlando, P Seeböck, G Mylonas, F Goldbach, A Sadeghipour, ...
International Workshop on Ophthalmic Medical Image Analysis, 35-42, 2019
Machine learning for ophthalmic screening and diagnostics from fundus images
JI Orlando
Facultad de Ciencias Exactas - Universidad Nacional del Centro de la …, 2017
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