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2021

Automatic Segmentation of the Retinal Nerve Fiber Layer by Means of Mathematical Morphology and Deformable Models in 2D Optical Coherence Tomography Imaging

Rafael Vidal Berenguer, Rafael Verdú Monedero, Juan Morales Sánchez, Inmaculada Sellés Navarro, Rocío del Amor, Gabriel García, Valery Naranjo

Automatic Segmentation of the Retinal Nerve Fiber Layer by Means of Mathematical Morphology and Deformable Models in 2D Optical Coherence Tomography Imaging Artículo de revista

En: Sensors, vol. 21, no. 23, pp. 8027, 2021, ISSN: 1424-8220.

Enlaces | BibTeX | Etiquetas: GALAHAD

Circumpapillary OCT-focused hybrid learning for glaucoma grading using tailored prototypical neural networks

Gabriel García, Rocío del Amor, Adrián Colomer, Rafael Verdú-Monedero, Juan Morales-Sánchez, Valery Naranjo

Circumpapillary OCT-focused hybrid learning for glaucoma grading using tailored prototypical neural networks Artículo de revista

En: Artificial Intelligence in Medicine, vol. 118, pp. 102132, 2021, ISSN: 0933-3657.

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Glaucoma Detection from Raw SD-OCT Volumes: A Novel Approach Focused on Spatial Dependencies

Gabriel García, Adrián Colomer, Valery Naranjo

Glaucoma Detection from Raw SD-OCT Volumes: A Novel Approach Focused on Spatial Dependencies Artículo de revista

En: Computer Methods and Programs in Biomedicine, vol. 200, pp. 105855, 2021, ISSN: 0169-2607.

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Retinal layer segmentation in rodent OCT images: Local intensity profiles & fully convolutional neural networks

Sandra Morales, Adrián Colomer, José M.Mossi, Rocío del Amor, David Woldbye, Kristian Klemp, Michael Larsen, Valery Naranjo

Retinal layer segmentation in rodent OCT images: Local intensity profiles & fully convolutional neural networks Artículo de revista

En: Computer Methods and Programs in Biomedicine, vol. 198, 2021, ISBN: 0169-2607.

Enlaces | BibTeX | Etiquetas: GALAHAD

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, 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, Xiulan Zhang, Yanwu Xut, Hrvoje Bogunovic

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs Artículo de revista

En: Medical Image Analysis, vol. 59, 2020, ISSN: 1361-8415.

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2019

Towards Automatic Glaucoma Assessment: An Encoder-decoder CNN for Retinal Layer Segmentation in Rodent OCT images

Rocío del Amor, Sandra Morales, Adrian Colomer, Jose M. Mossi, David Woldbye, Kristian Klemp, Michael Larsen, Valery Naranjo

Towards Automatic Glaucoma Assessment: An Encoder-decoder CNN for Retinal Layer Segmentation in Rodent OCT images Conferencia

2019, ISBN: 978-9-0827-9703-9.

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Automatic Glaucoma Assessment Using a Semi-supervised Learning Method

Andres Diaz-Pinto, Adrían Colomer, Valery Naranjo, Sandra Morales, Yanwu Xu, Alejandro F Frangi

Automatic Glaucoma Assessment Using a Semi-supervised Learning Method Conferencia

2019.

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CNNs for automatic glaucoma assessment using fundus images: an extensive validation

Andres Diaz‑Pinto1, Sandra Morales, Valery Naranjo, Thomas Köhler, Jose M. Mossi, Amparo Navea

CNNs for automatic glaucoma assessment using fundus images: an extensive validation Artículo de revista

En: 2019, ISSN: 1475-925.

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Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment

Andres Diaz-Pinto, Adrián Colomer, Valery Naranjo, Sandra Morales, Yanwu Xu, Alejandro F. Frangi

Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment Artículo de revista

En: EEE Transactions on Medical Imaging, vol. 38, no. 9, pp. 2211 - 2218, 2019, ISSN: 0278-0062.

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DIRECCIÓN

Computer Vision and Behaviour Analysis Lab
i3B - Instituto de Investigación e Innovación en Bioingeniería
Universitat Politècnica de València (UPV)
Ciudad Politécnica de la Innovación - Cubo Azul - Edif. 8B - Acceso N
Camino de Vera s/n, 46022 - Valencia (Spain)

 

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