Publications

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

PDF Cite Dataset Project Project

Philipp Seeböck, José Ignacio Orlando, Martin Michl, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunović. Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection. In MedIA, 2024.

PDF Cite DOI

Huihui Fang, Fei Li, Junde Wu, Huazhu Fu, Xu Sun, José Ignacio Orlando, Hrvoje Bogunović, Xiulan Zhang, Yanwu Xu. Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation. In Sci Data, 2024.

PDF Cite Code Dataset DOI

Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Yue Huang, Qinji Yu, Sifan Song, Xinxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunović, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu. GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. In MedIA, 2023.

PDF Cite DOI

Duilio Deangeli, Francisco Iarussi, Hernán Külsgaard, Delfina Braggio, Juan Pablo Princich, Mariana Bendersky, Emmanuel Iarussi, Ignacio Larrabide, José Ignacio Orlando. NORHA: A NORmal Hippocampal Asymmetry deviation index based on one-class novelty detection and 3D shape features. In Brain Topogr., 2023.

PDF Cite Project

Duilio Deangeli, Emmanuel Iarussi, Juan Pablo Princich, Mariana Bendersky, Ignacio Larrabide, José Ignacio Orlando. Learning normal asymmetry representations for homologous brain structures. In MICCAI 2023, 2023.

PDF Cite Code Project

Leandro Rocamora, José Ignacio Orlando, Christoph Lwowski, Thomas Kohnen, Erik Mertens, Karel Van Keer. Postoperative vault prediction for phakic implantable collamer lens surgery: the LASSO formulae. In J. Refract. Surg., 2022.

PDF Cite Project DOI

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

PDF Cite Dataset Project

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

PDF Cite Project

Camila García, Yibin Fang, Jianmin Liu, Ana Paula Narata, José Ignacio Orlando, Ignacio Larrabide. A deep learning model for brain vessel segmentation\ in 3DRA with arteriovenous malformations. In SIPAIM, 2022.

PDF Cite Project

Dominik Hofer, Ursula Schmidt-Erfurth, José Ignacio Orlando, Felix Goldbach, Bianca S. Gerendas, Philipp Seeböck. Improving foveal avascular zone segmentation in fluorescein angiograms by leveraging manual vessel labels from public color fundus pictures. In Biomed Opt Express, 2022.

PDF Cite DOI

Philipp Seeböck, Wolf-Dieter Vogl, Sebastian M Waldstein, José Ignacio Orlando, Magdalena Baratsis, Thomas Alten, Mustafa Arikan, Georgios Mylonas, Hrvoje Bogunović, Ursula Schmidt-Erfurth. Linking Function and Structure with ReSenseNet: Predicting Retinal Sensitivity from Optical Coherence Tomography using Deep Learning. In Ophthalmol Retina, 2022.

PDF Cite DOI

Pablo Navarro, José Ignacio Orlando, Claudio Delrieux, Emmanuel Iarussi. SketchZooms: Deep multi-view descriptors for matching line drawings. In SGF, 2020.

PDF Cite Project Video DOI

Paulo GP Ziemer, Carlos a Bulant, José Ignacio Orlando, Gonzalo D Maso Talou, Luis a Mansilla Álvarez, Cristiano Guedes Bezerra, Pedro a Lemos, Héctor M García-García, Pablo J Blanco. Automated lumen segmentation using multi-frame convolutional neural networks in intravascular ultrasound datasets. In EHJ-DH, 2020.

PDF Cite DOI

Hernán C. Külsgaard, José Ignacio Orlando, Mariana Bendersky, Juan P. Princich, Luis S. R. Manzanera, Alberto Vargas, Silvia Kochen, Ignacio Larrabide. Machine learning for filtering out false positive grey matter atrophies in single subject voxel based morphometry: A simulation based study. In JNS, 2020.

PDF Cite DOI

Huazhu Fu, Fei Li, Xu Sun, Xingxing Cao, Jingan Liao, José Ignacio Orlando, Xing Tao, Yuexiang Li, Shihao Zhang, Mingkui Tan, Chenglang Yuan, Cheng Bian, Ruitao Xie, Jiongcheng Li, Xiaomeng Li, Jing Wang, Le Geng, Panming Li, Huaying Hao, Jiang Liu, Yan Kong, Yongyong Ren, Hrvoje Bogunović, Xiulan Zhang, Yanwu Xu. AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. In MedIA, 2020.

PDF Cite Dataset Project DOI

David Romo-Bucheli, Philipp Seeböck, José Ignacio Orlando, Bianca S. Gerendas, Sebastian M. Waldstein, U Schmidt-Erfurth, Hrvoje Bogunović. Reducing image variability across OCT devices with unsupervised unpaired learning for improved segmentation of retina. In BOE, 2020.

PDF Cite DOI

José Ignacio Orlando, Bianca S Gerendas, Sophie Riedl, Christoph Grechenig, Anna Breger, Martin Ehler, Sebastian M Waldstein, Hrvoje Bogunović, Ursula Schmidt-Erfurth. Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning. In Sci Rep, 2020.

PDF Cite Code DOI

Anna Breger, José Ignacio Orlando, Pavol Harar, Monika Dörfler, Sophie Klimscha, Christoph Grechenig, Bianca S. Gerendas, Ursula Schmidt-Erfurth, Martin Ehler. On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. In J Math Imaging Vis, 2019.

PDF Cite DOI

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

PDF Cite DOI

José Ignacio Orlando, Huazhu Fu, João Barbossa Breda, Karel Van Keer, Deepti R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, JoonHo Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Apoorva Sikka, Jaemin Son, Anton Van Den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yongli Xu, Pengshuai Yin, Fei Li, Yanwu Xu, Xiulan Zhang, Hrvoje Bogunović. REFUGE challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. In MedIA, 2019.

PDF Cite Code Project DOI

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

Cite DOI

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

PDF Cite DOI

Santiago Vitale, José Ignacio Orlando, Emmanuel Iarussi, Ignacio Larrabide. Improving realism in patient-specific abdominal ultrasound simulation using CycleGANs. In Int J CARS, 2019.

PDF Cite DOI

Philipp Seeböck, David Romo-Bucheli, Sebastian Waldstein, Hrvoje Bogunović, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth. Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation. In ISBI 2019, 2019.

PDF Cite DOI

José Ignacio Orlando, Philipp Seeböck, Hrvoje Bogunović, Sophie Klimscha, Christoph Grechenig, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth. U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans. In ISBI 2019, 2019.

PDF Cite Slides DOI

Philipp Seeböck, Wolf-Dieter Vogl, Sebastian M Waldstein, Magdalena Baratsits, José Ignacio Orlando, Thomas Alten, Hrvoje Bogunovic, Mustafa Arikan, Georgios Mylonas, Ursula Schmidt-Erfurth. Linking Function and Structure: Prediction of Retinal Sensitivity in AMD from OCT using Deep Learning. In ARVO 2019, 2019.

Cite Poster

Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunović, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth. Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. In IEEE TMI, 2019.

PDF Cite DOI

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

PDF Cite Dataset DOI

José Ignacio Orlando, Elena Prokofyeva, Mariana Del Fresno, Matthew B. Blaschko. An ensemble deep learning based approach for red lesion detection in fundus images. In CMPB, 2018.

PDF Cite Code DOI

José Ignacio Orlando, Marcos Fracchia, Valeria Del Río, Mariana Del Fresno. Retinal blood vessel segmentation in high resolution fundus photographs using automated feature parameter estimation. In SIPAIM 2017, 2017.

PDF Cite Project DOI

José Ignacio Orlando, Karel Van Keer, João Barbosa Breda, Hugo Luis Manterola, Matthew B Blaschko, Alejandro Clausse. Proliferative diabetic retinopathy characterization based on fractal features: Evaluation on a publicly available dataset. In Med Phys, 2017.

PDF Cite Code Dataset DOI

José Ignacio Orlando. Aprendizaje automático para asistencia al diagnóstico de enfermedades visuales basado en imágenes de fondo de ojo (Machine learning for ophthalmic screening and diagnostics from fundus images). PhD Thesis, 2017.

PDF Cite English version

José Ignacio Orlando, Elena Prokofyeva, Mariana Del Fresno, Matthew B. Blaschko. Convolutional neural network transfer for automated glaucoma identification. In SIPAIM 2016, 2017.

PDF Cite Code DOI

José Ignacio Orlando, Elena Prokofyeva, Matthew B Blaschko. A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images. In IEEE TBME, 2016.

PDF Cite Code Project DOI

Lucas Lo Vercio, José Ignacio Orlando, Mariana Del Fresno, Ignacio Larrabide. Assessment of image features for vessel wall segmentation in intravascular ultrasound images. In Int J CARS, 2016.

PDF Cite Project DOI

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

PDF Cite Poster DOI

José Ignacio Orlando, Hugo Luis Manterola, Enzo Ferrante, Federico Ariel. Arabidopsis Roots Segmentation Based on Morphological Operations and CRFs. In arXiv, 2014.

PDF Cite

José Ignacio Orlando, Mariana Del Fresno. Reviewing Preprocessing and Feature Extraction Techniques for Retinal Blood Vessels Segmentation in Fundus Images. In Me Com, 2014.

PDF Cite