Learning Fully-Connected CRFs for Blood Vessel Segmentation in Retinal Images. - José Ignacio Orlando; Matthew B. Blaschko (MICCAI (1), 2014)

Assessment of image features for vessel wall segmentation in intravascular ultrasound images. - Lucas Lo Vercio; José Ignacio Orlando; Mariana del Fresno; Ignacio Larrabide (Int. J. Comput. Assist. Radiol. Surg., 2016)

Retinal blood vessel segmentation in high resolution fundus photographs using automated feature parameter estimation. - José Ignacio Orlando; Marcos Fracchia; Valeria del Río; Mariana del Fresno (SIPAIM, 2017)

Arabidopsis roots segmentation based on morphological operations and CRFs. - José Ignacio Orlando; Hugo Luis Manterola; Enzo Ferrante; Federico Ariel (CoRR, 2017)

Learning to Detect Red Lesions in Fundus Photographs: An Ensemble Approach based on Deep Learning. - José Ignacio Orlando; Elena Prokofyeva; Mariana del Fresno; Matthew B. Blaschko (CoRR, 2017)

A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images. - José Ignacio Orlando; Elena Prokofyeva; Matthew B. Blaschko (IEEE Trans. Biomed. Eng., 2017)

Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus Images. - José Ignacio Orlando; João Barbosa Breda; Karel van Keer; Matthew B. Blaschko; Pablo J. Blanco; Carlos A. Bulant (MICCAI (2), 2018)

An ensemble deep learning based approach for red lesion detection in fundus images. - José Ignacio Orlando; Elena Prokofyeva; Mariana del Fresno; Matthew B. Blaschko (Comput. Methods Programs Biomed., 2018)

U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans. - José Ignacio Orlando; Philipp Seeböck; Hrvoje Bogunovic; Sophie Klimscha; Christoph Grechenig; Sebastian M. Waldstein; Bianca S. Gerendas; Ursula Schmidt-Erfurth (ISBI, 2019)

Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation. - Philipp Seeböck; David Romo-Bucheli; Sebastian M. Waldstein; Hrvoje Bogunovic; José Ignacio Orlando; Bianca S. Gerendas; Georg Langs; Ursula Schmidt-Erfurth (ISBI, 2019)

Multiclass Segmentation as Multitask Learning for Drusen Segmentation in Retinal Optical Coherence Tomography. - Rhona Asgari; José Ignacio Orlando; Sebastian M. Waldstein; Ferdinand Schlanitz; Magdalena Baratsits; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (MICCAI (1), 2019)

Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning. - Dominik Hofer; José Ignacio Orlando; Philipp Seeböck; Georgios Mylonas; Felix Goldbach; Amir Sadeghipour; Bianca S. Gerendas; Ursula Schmidt-Erfurth (OMIA@MICCAI, 2019)

An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans. - José Ignacio Orlando; Anna Breger; Hrvoje Bogunovic; Sophie Riedl; Bianca S. Gerendas; Martin Ehler; Ursula Schmidt-Erfurth (OMIA@MICCAI, 2019)

On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems. - Anna Breger; José Ignacio Orlando; Pavol Harár; Monika Dörfler; Sophie Klimscha; Christoph Grechenig; Bianca S. Gerendas; Ursula Schmidt-Erfurth; Martin Ehler (CoRR, 2019)

REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. - José Ignacio Orlando; Huazhu Fu; João Barbosa Breda; Karel van Keer; Deepti R. Bathula; Andrés Diaz-Pinto; Ruogu Fang; Pheng-Ann Heng; Jeyoung Kim; Joonho Lee; Joonseok Lee; Xiaoxiao Li; et al. (CoRR, 2019)

Improving realism in patient-specific abdominal ultrasound simulation using CycleGANs. - Santiago Vitale; José Ignacio Orlando; Emmanuel Iarussi; Ignacio Larrabide (Int. J. Comput. Assist. Radiol. Surg., 2020)

AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. - Huazhu Fu; Fei Li 021; Xu Sun 006; Xingxing Cao; Jingan Liao; José Ignacio Orlando; Xing Tao; Yuexiang Li; Shihao Zhang; Mingkui Tan; Chenglang Yuan; Cheng Bian; et al. (CoRR, 2020)

On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. - Anna Breger; José Ignacio Orlando; Pavol Harár; Monika Dörfler; Sophie Klimscha; Christoph Grechenig; Bianca S. Gerendas; Ursula Schmidt-Erfurth; Martin Ehler (J. Math. Imaging Vis., 2020)

Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. - Anna Breger; José Ignacio Orlando; Pavol Harár; Monika Dörfler; Sophie Klimscha; Christoph Grechenig; Bianca S. Gerendas; Ursula Schmidt-Erfurth; Martin Ehler (J. Math. Imaging Vis., 2020)

AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. - Huazhu Fu; Fei Li 021; Xu Sun 006; Xingxing Cao; Jingan Liao; José Ignacio Orlando; Xing Tao; Yuexiang Li; Shihao Zhang; Mingkui Tan; Chenglang Yuan; Cheng Bian; et al. (Medical Image Anal., 2020)

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. - José Ignacio Orlando; Huazhu Fu; João Barbosa Breda; Karel van Keer; Deepti R. Bathula; Andrés Diaz-Pinto; Ruogu Fang; Pheng-Ann Heng; Jeyoung Kim; Joonho Lee; Joonseok Lee; Xiaoxiao Li; et al. (Medical Image Anal., 2020)

Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. - Philipp Seeböck; José Ignacio Orlando; Thomas Schlegl; Sebastian M. Waldstein; Hrvoje Bogunovic; Sophie Klimscha; Georg Langs; Ursula Schmidt-Erfurth (IEEE Trans. Medical Imaging, 2020)

Correction to "Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT". - Philipp Seeböck; José Ignacio Orlando; Thomas Schlegl; Sebastian M. Waldstein; Hrvoje Bogunovic; Sophie Klimscha; Georg Langs; Ursula Schmidt-Erfurth (IEEE Trans. Medical Imaging, 2020)

SketchZooms: Deep Multi-view Descriptors for Matching Line Drawings. - Pablo Navarro; José Ignacio Orlando; Claudio Delrieux; Emmanuel Iarussi (Comput. Graph. Forum, 2021)

GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Lexing Huang; Qinji Yu; Sifan Song; Xingxing Xu; Yanyu Xu; Wensai Wang; et al. (CoRR, 2022)

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Fengbin Lin; Jaemin Son; Sunho Kim; Gwenolé Quellec; Sarah Matta; Sharath M. Shankaranarayana; Yi-Ting Chen; et al. (CoRR, 2022)

REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Jaemin Son; Shuang Yu; Menglu Zhang; Chenglang Yuan; Cheng Bian; Baiying Lei; Benjian Zhao; et al. (CoRR, 2022)

Assessing Coarse-to-Fine Deep Learning Models for Optic Disc and Cup Segmentation in Fundus Images. - Eugenia Moris; Nicolás Dazeo; Maria Paula Albina de Rueda; Francisco Filizzola; Nicolás Iannuzzo; Danila Nejamkin; Kevin Wignall; Mercedes Leguía; Ignacio Larrabide; José Ignacio Orlando (CoRR, 2022)

A deep learning model for brain vessel segmentation in 3DRA with arteriovenous malformations. - Camila García; Yibin Fang; Jianmin Liu; Ana Paula Narata; José Ignacio Orlando; Ignacio Larrabide (CoRR, 2022)

A ResNet is All You Need? Modeling A Strong Baseline for Detecting Referable Diabetic Retinopathy in Fundus Images. - Tomás Castilla; Marcela S. Martínez; Mercedes Leguía; Ignacio Larrabide; José Ignacio Orlando (CoRR, 2022)

ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Fengbin Lin; Jaemin Son; Sunho Kim; Gwenolé Quellec; Sarah Matta; Sharath M. Shankaranarayana; Yi-Ting Chen; et al. (IEEE Trans. Medical Imaging, 2022)

Learning Normal Asymmetry Representations for Homologous Brain Structures. - Duilio Deangeli; Emmanuel Iarussi; Juan Pablo Princich; Mariana Bendersky; Ignacio Larrabide; José Ignacio Orlando (MICCAI (8), 2023)

PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation. - Huihui Fang; Fei Li 021; Junde Wu; Huazhu Fu; Xu Sun 006; José Ignacio Orlando; Hrvoje Bogunovic; Xiulan Zhang; Yanwu Xu 001 (CoRR, 2023)

GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Yue Huang 001; Qinji Yu; Sifan Song; Xinxing Xu; Yanyu Xu; Wensai Wang; et al. (Medical Image Anal., 2023)

Semi-supervised learning with Noisy Students improves domain generalization in optic disc and cup segmentation in uncropped fundus images. - Eugenia Moris; Ignacio Larrabide; José Ignacio Orlando (MIDL, 2024)

Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection. - Philipp Seeböck; José Ignacio Orlando; Martin Michl; Julia Mai; Ursula Schmidt-Erfurth; Hrvoje Bogunovic (Medical Image Anal., 2024)

A Self-supervised Deep Learning Model for Diagonal Sulcus Detection with Limited Labeled Data. - Delfina Braggio; Hernán C. Külsgaard; Mariana Vallejo-Azar; Mariana Bendersky; Paula González; Lucía Alba-Ferrara; José Ignacio Orlando; Ignacio Larrabide (Neuroinformatics, 2025)