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José Ignacio Orlando
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2020 – today
- 2024
- [j14]Philipp Seeböck
, José Ignacio Orlando
Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection. Medical Image Anal. 93: 103104 (2024) - 2023
- [j13]Junde Wu
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. Medical Image Anal. 90: 102938 (2023) - [c9]Duilio Deangeli, Emmanuel Iarussi
Learning Normal Asymmetry Representations for Homologous Brain Structures. MICCAI (8) 2023: 77-87 - [i20]Huihui Fang, Fei Li, Junde Wu, Huazhu Fu, Xu Sun, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation. CoRR abs/2305.07816 (2023) - [i19]Duilio Deangeli, Emmanuel Iarussi, Juan Pablo Princich, Mariana Bendersky, Ignacio Larrabide, José Ignacio Orlando:
Learning normal asymmetry representations for homologous brain structures. CoRR abs/2306.15811 (2023) - 2022
- [j12]Huihui Fang
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images. IEEE Trans. Medical Imaging 41(10): 2828-2847 (2022) - [i18]Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Lexing Huang, Qinji Yu, Sifan Song, Xingxing 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 Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu:
GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. CoRR abs/2202.06511 (2022) - [i17]Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. CoRR abs/2202.07983 (2022) - [i16]Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Jaemin Son, Shuang Yu, Menglu Zhang, Chenglang Yuan, Cheng Bian, Baiying Lei, Benjian Zhao, Xinxing Xu, Shaohua Li, Francisco Fumero, José F. Sigut, Haidar Almubarak, Yakoub Bazi, Yuanhao Guo, Yating Zhou, Ujjwal Baid, Shubham Innani, Tianjiao Guo, Jie Yang, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment. CoRR abs/2202.08994 (2022) - [i15]Eugenia Moris, Nicolás Dazeo, Maria 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. CoRR abs/2209.14383 (2022) - [i14]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. CoRR abs/2210.02416 (2022) - [i13]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. CoRR abs/2210.03180 (2022) - 2021
- [j11]Pablo Navarro
SketchZooms: Deep Multi-view Descriptors for Matching Line Drawings. Comput. Graph. Forum 40(1): 410-423 (2021) - 2020
- [j10]Santiago Vitale
Improving realism in patient-specific abdominal ultrasound simulation using CycleGANs. Int. J. Comput. Assist. Radiol. Surg. 15(2): 183-192 (2020) - [j9]Anna Breger
On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. 62(3): 376-394 (2020) - [j8]Anna Breger
Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems. J. Math. Imaging Vis. 62(3): 395 (2020) - [j7]José Ignacio Orlando
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Anal. 59 (2020) - [j6]Huazhu Fu
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. Medical Image Anal. 66: 101798 (2020) - [j5]Philipp Seeböck
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. IEEE Trans. Medical Imaging 39(1): 87-98 (2020) - [j4]Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth:
Correction to "Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT". IEEE Trans. Medical Imaging 39(4): 1291 (2020) - [i12]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. CoRR abs/2005.02258 (2020)
2010 – 2019
- 2019
- [c8]Philipp Seeböck, David Romo-Bucheli, Sebastian M. Waldstein, Hrvoje Bogunovic
Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation. ISBI 2019: 605-609 - [c7]José Ignacio Orlando, Philipp Seeböck, Hrvoje Bogunovic
U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans. ISBI 2019: 1441-1445 - [c6]José Ignacio Orlando, Anna Breger
An Amplified-Target Loss Approach for Photoreceptor Layer Segmentation in Pathological OCT Scans. OMIA@MICCAI 2019: 26-34 - [c5]Dominik Hofer, José Ignacio Orlando, Philipp Seeböck, Georgios Mylonas, Felix Goldbach, Amir Sadeghipour, Bianca S. Gerendas
Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning. OMIA@MICCAI 2019: 35-42 - [c4]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. MICCAI (1) 2019: 192-200 - [i11]Anna Breger, José Ignacio Orlando, Pavol Harár
On orthogonal projections for dimension reduction and applications in variational loss functions for learning problems. CoRR abs/1901.07598 (2019) - [i10]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. CoRR abs/1901.07929 (2019) - [i9]Philipp Seeböck, David Romo-Bucheli, Sebastian M. 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. CoRR abs/1901.08379 (2019) - [i8]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. CoRR abs/1905.12806 (2019) - [i7]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. CoRR abs/1906.07679 (2019) - [i6]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. CoRR abs/1908.00764 (2019) - [i5]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, 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, Yong-Li Xu, Pengshuai Yin, Fei Li, Xiulan Zhang, Yanwu Xu, Hrvoje Bogunovic:
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. CoRR abs/1910.03667 (2019) - [i4]Pablo Navarro, José Ignacio Orlando, Claudio Delrieux, Emmanuel Iarussi:
SketchZooms: Deep multi-view descriptors for matching line drawings. CoRR abs/1912.05019 (2019) - 2018
- [j3]José Ignacio Orlando, Elena Prokofyeva, Mariana del Fresno, Matthew B. Blaschko
An ensemble deep learning based approach for red lesion detection in fundus images. Comput. Methods Programs Biomed. 153: 115-127 (2018) - [c3]José Ignacio Orlando, João Barbosa Breda, Karel van Keer, Matthew B. Blaschko
Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus Images. MICCAI (2) 2018: 65-73 - [i3]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. CoRR abs/1805.10273 (2018) - 2017
- [j2]José Ignacio Orlando
A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images. IEEE Trans. Biomed. Eng. 64(1): 16-27 (2017) - [c2]José Ignacio Orlando
Retinal blood vessel segmentation in high resolution fundus photographs using automated feature parameter estimation. SIPAIM 2017: 1057210 - [i2]José Ignacio Orlando, Hugo Luis Manterola, Enzo Ferrante, Federico Ariel:
Arabidopsis roots segmentation based on morphological operations and CRFs. CoRR abs/1704.07793 (2017) - [i1]José Ignacio Orlando, Elena Prokofyeva, Mariana del Fresno, Matthew B. Blaschko:
Learning to Detect Red Lesions in Fundus Photographs: An Ensemble Approach based on Deep Learning. CoRR abs/1706.03008 (2017) - 2016
- [j1]Lucas Lo Vercio
Assessment of image features for vessel wall segmentation in intravascular ultrasound images. Int. J. Comput. Assist. Radiol. Surg. 11(8): 1397-1407 (2016) - 2014
- [c1]José Ignacio Orlando
Learning Fully-Connected CRFs for Blood Vessel Segmentation in Retinal Images. MICCAI (1) 2014: 634-641
Coauthor Index
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last updated on 2024-10-07 21:14 CEST by the dblp team
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