Publications

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.

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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.

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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.

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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.

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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.

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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.

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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.

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

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

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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.

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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.

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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 Bogunovic, Xiulan Zhang, Yanwu Xu. AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. In MedIA, 2020.

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

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

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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.

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

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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 Bogunovic. REFUGE challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. In MedIA, 2019.

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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.

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José Ignacio Orlando, Anna Breger, Hrvoje Bogunovic, 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.

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

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Philipp Seeböck, David Romo-Bucheli, Sebastian Waldstein, Hrvoje Bogunovic, 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.

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José Ignacio Orlando, Philipp Seeböck, Hrvoje Bogunovic, 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.

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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.

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

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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.

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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.

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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.

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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.

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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.

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

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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.

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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.

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

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

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

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