Cristina González-Gonzalo

According to our database, Cristina González-Gonzalo authored at least 12 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography.

Roy Schwartz, Hagar Khalid, Sandra Liakopoulos, Yanling Ouyang, Coen de Vente, Cristina González-Gonzalo, Aaron Y. Lee, Robyn H. Guymer, Emily Y. Chew, Catherine Egan, Zhichao Wu, Himeesh Kumar, Joseph Farrington, Clara I. Sánchez, Adnan Tufail

CoRR, 2022

2021

Adversarial attack vulnerability of medical image analysis systems: Unexplored factors.

Gerda Bortsova, Cristina González-Gonzalo, Suzanne C. Wetstein, Florian Dubost, Ioannis Katramados, Laurens Hogeweg, Bart Liefers, Bram van Ginneken, Josien P. W. Pluim, Mitko Veta, Clara I. Sánchez, Marleen de Bruijne

Medical Image Anal., 2021

2020

Grand Challenge.org.

James Meakin, Harm van Zeeland, Marcel Koek, Paul K. Gerke, Bart De Dobbelaer, Hans Pinckaers, Carl Shneider, Haimasree Bhattacharya, Roel Zinkstok, Ecem Sogancioglu, Cristina González-Gonzalo, Hans Meine, Alexander Köhn, Miriam Groeneveld, Tom Klaver, Karel Gerbrands, Darío Hereñú, Sjoerd Kerkstra, Bram van Ginneken

Dataset, December, 2020

Grand Challenge.org.

James A. Meakin, Harm van Zeeland, Marcel Koek, Paul K. Gerke, Bart De Dobbelaer, Hans Pinckaers, Carl Shneider, Haimasree Bhattacharya, Roel Zinkstok, Ecem Sogancioglu, Cristina González-Gonzalo, Hans Meine, Alexander Köhn, Miriam Groeneveld, Tom Klaver, Karel Gerbrands, Darío Hereñú, Sjoerd Kerkstra, Bram van Ginneken

Dataset, March, 2020

Grand Challenge.org.

James A. Meakin, Harm van Zeeland, Marcel Koek, Paul K. Gerke, Bart De Dobbelaer, Hans Pinckaers, Carl Shneider, Haimasree Bhattacharya, Roel Zinkstok, Ecem Sogancioglu, Cristina González-Gonzalo, Hans Meine, Alexander Köhn, Miriam Groeneveld, Tom Klaver, Karel Gerbrands, Darío Hereñú, Sjoerd Kerkstra, Bram van Ginneken

Dataset, February, 2020

Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images.

Cristina González-Gonzalo, Bart Liefers, Bram van Ginneken, Clara I. Sánchez

IEEE Trans. Medical Imaging, 2020

2019

Grand Challenge.org.

James Meakin, Harm van Zeeland, Marcel Koek, Paul K. Gerke, Bart De Dobbelaer, Hans Pinckaers, Carl Shneider, Haimasree Bhattacharya, Roel Zinkstok, Ecem Sogancioglu, Cristina González-Gonzalo, Hans Meine, Alexander Köhn, Miriam Groeneveld, Tom Klaver, Karel Gerbrands, Darío Hereñú, Sjoerd Kerkstra, Bram van Ginneken

Dataset, November, 2019

Grand Challenge.org.

James Meakin, Harm van Zeeland, Marcel Koek, Paul K. Gerke, Bart De Dobbelaer, Hans Pinckaers, Carl Shneider, Haimasree Bhattacharya, Roel Zinkstok, Ecem Sogancioglu, Cristina González-Gonzalo, Hans Meine, Alexander Köhn, Miriam Groeneveld, Tom Klaver, Karel Gerbrands, Darío Hereñú, Sjoerd Kerkstra, Bram van Ginneken

Dataset, October, 2019

Iterative augmentation of visual evidence for weakly-supervised lesion localization in deep interpretability frameworks.

Cristina González-Gonzalo, Bart Liefers, Bram van Ginneken, Clara I. Sánchez

CoRR, 2019

A deep learning model for segmentation of geographic atrophy to study its long-term natural history.

Bart Liefers, Johanna M. Colijn, Cristina González-Gonzalo, Timo Verzijden, Paul Mitchell, Carel B. Hoyng, Bram van Ginneken, Caroline C. W. Klaver, Clara I. Sánchez

CoRR, 2019

Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration.

Cristina González-Gonzalo, Verónica Sánchez-Gutiérrez, Paula Hernández-Martínez, Inés Contreras, Yara T. E. Lechanteur, Artin Domanian, Bram van Ginneken, Clara I. Sánchez

CoRR, 2019

Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography.

Bart Liefers, Cristina González-Gonzalo, Caroline Klaver, Bram van Ginneken, Clara I. Sánchez

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019