José Ignacio Orlando
José Ignacio Orlando
Assistant Researcher, CONICET / Pladema-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
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
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
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
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
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
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
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
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
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
PALM: Pathologic myopia challenge
H Fu, F Li, JI Orlando, H Bogunovic, X Sun, J Liao, Y Xu, S Zhang, ...
IEEE Dataport, 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
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
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
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), 5619, 2020
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
Gamma challenge: glaucoma grading from multi-modality images
J Wu, H Fang, F Li, H Fu, F Lin, J Li, L Huang, Q Yu, S Song, X Xu, Y Xu, ...
arXiv preprint arXiv:2202.06511, 2022
Refuge2 challenge: Treasure for multi-domain learning in glaucoma assessment
H Fang, F Li, H Fu, X Sun, X Cao, J Son, S Yu, M Zhang, C Yuan, C Bian, ...
arXiv preprint arXiv:2202.08994, 2022
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