José Ignacio Orlando
Orcid: 0000-0001-9734-5571
According to our database1,
José Ignacio Orlando
authored at least 34 papers
between 2014 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Medical Image Anal., December, 2023
PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation.
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
IEEE Trans. Medical Imaging, 2022
A ResNet is All You Need? Modeling A Strong Baseline for Detecting Referable Diabetic Retinopathy in Fundus Images.
CoRR, 2022
A deep learning model for brain vessel segmentation in 3DRA with arteriovenous malformations.
CoRR, 2022
Assessing Coarse-to-Fine Deep Learning Models for Optic Disc and Cup Segmentation in Fundus Images.
CoRR, 2022
CoRR, 2022
CoRR, 2022
2021
Comput. Graph. Forum, 2021
2020
Correction to "Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT".
IEEE Trans. Medical Imaging, 2020
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT.
IEEE Trans. Medical Imaging, 2020
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs.
Medical Image Anal., 2020
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography.
Medical Image Anal., 2020
Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems.
J. Math. Imaging Vis., 2020
On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems.
J. Math. Imaging Vis., 2020
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography.
CoRR, 2020
Improving realism in patient-specific abdominal ultrasound simulation using CycleGANs.
Int. J. Comput. Assist. Radiol. Surg., 2020
2019
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs.
CoRR, 2019
On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems.
CoRR, 2019
An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019
Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019
Multiclass Segmentation as Multitask Learning for Drusen Segmentation in Retinal Optical Coherence Tomography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Comput. Methods Programs Biomed., 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images.
IEEE Trans. Biomed. Eng., 2017
Learning to Detect Red Lesions in Fundus Photographs: An Ensemble Approach based on Deep Learning.
CoRR, 2017
CoRR, 2017
Retinal blood vessel segmentation in high resolution fundus photographs using automated feature parameter estimation.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017
2016
Assessment of image features for vessel wall segmentation in intravascular ultrasound images.
Int. J. Comput. Assist. Radiol. Surg., 2016
2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014