Glaucoma | José Ignacio Orlando

Semi-supervised learning with Noisy Students improves domain generalization in optic disc and cup segmentation in uncropped fundus images

The paper evaluates domain generalization strategies for optic disc and cup segmentation in fundus images, highlighting issues with existing methods when applied to uncropped images, and proposes a semi-supervised learning approach based on the Noisy Student framework to improve performance across diverse datasets.

Eugenia Moris, Ignacio Larrabide, José Ignacio Orlando

Assessing Coarse-to-Fine Deep Learning Models for Optic Disc and Cup Segmentation in Fundus Images

We experimentally validate whether using coarse-to-fine models instead of one-stage models is appropriate or not for segmenting the optic disc and the optic cup in color fundus images. We observed that models trained with the right amount of data can perform much better than coarse-to-find approaches.

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

Cómo entrenar bien un baseline - Experiencias y recomendaciones desde la aplicación de deep learning en oftalmología

Cuando aplicamos inteligencia artificial en medicina, solemos seguir uno de dos enfoques: o bien utilizar modelos que ya existen para …

Sep 21, 2022 12:00 PM — 12:30 PM 12 hs. Aula A402 - Edificio Alcorta, 4° piso | Campus Di Tella,

José Ignacio Orlando

Cómo entrenar bien un baseline - Experiencias y recomendaciones desde la aplicación de deep learning en oftalmología

Inteligencia artificial en oftalmología - desarrollos argentinos, oportunidades y desafíos

Voy a presentar algunas de las líneas de trabajo actuales en inteligencia artificial aplicada a la oftalmología que llevo adelante, repasando además algunos desarrollos previos en los que participé durante mi estadía postdoctoral en Austria.

Oct 29, 2021 9:30 AM — 9:55 AM Evento Virtual

José Ignacio Orlando

Inteligencia artificial en oftalmología - desarrollos argentinos, oportunidades y desafíos

AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography

This is the summary publication of the AGE challenge on angle closure glaucoma detection from OCT scans of the anterior segment.

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

What's next in AI for glaucoma screening? The REFUGE challenge outcomes

I will present some of the conclusions of the REFUGE challenge on glaucoma assessment from fundus pictures, and my personal view on what’s still needed to progress towards automated screening of glaucoma from fundus pictures.

Dec 7, 2019 9:30 AM Pentahotel Leuven

José Ignacio Orlando

What's next in AI for glaucoma screening? The REFUGE challenge outcomes

Towards a better understanding of glaucoma through fundus photography

Computation and discovery of glaucoma biomarkers from color fundus photographs

REFUGE challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs

This is the summary publication of the REFUGE challenge on glaucoma detection in color fundus photographs.

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

Convocatoria para Estudiantes Avanzados de Ingeniería - EVC-CIN 2019

Estamos entrevistando candidatos para aplicar a las becas de estímulo a las vocaciones científicas EVC 2019 del CIN (Consejo Universitario Nacional).

José Ignacio Orlando