Antonio Foncubierta-Rodríguez

Orcid: 0000-0003-0118-7252

According to our database1, Antonio Foncubierta-Rodríguez authored at least 49 papers between 2011 and 2024.

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Bibliography

2024
Fusing modalities by multiplexed graph neural networks for outcome prediction from medical data and beyond.
Medical Image Anal., 2024

2023
MaxCorrMGNN: A Multi-graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction.
Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023

2022
Hierarchical graph representations in digital pathology.
Medical Image Anal., 2022

BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images.
Database J. Biol. Databases Curation, 2022

Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks.
Medical Image Anal., 2021

Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology.
CoRR, 2021

Using Stain Decomposition for Nucleus Segmentation on Multisource H&E Slide Images.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Learning Whole-Slide Segmentation from Inexact and Incomplete Labels Using Tissue Graphs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Quantifying Explainers of Graph Neural Networks in Computational Pathology.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

HistoCartography: A Toolkit for Graph Analytics in Digital Pathology.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021

Histocartography: a pipeline for histology image analysis.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records.
CoRR, 2020

Learning-based Defect Recognition for Quasi-Periodic Microscope Images.
CoRR, 2020

Towards Explainable Graph Representations in Digital Pathology.
CoRR, 2020

NINEPINS: Nuclei Instance Segmentation with Point Annotations.
CoRR, 2020

HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

Mitosis Detection Under Limited Annotation: A Joint Learning Approach.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2017
From visual words to a visual grammar: using language modelling for image classification.
CoRR, 2017

Extracting Interactions from Molecular Pathways.
Proceedings of the 12th International Workshop on Graphics Recognitio, 2017

Interpreting Data from Scanned Tables.
Proceedings of the 12th International Workshop on Graphics Recognitio, 2017

Extracting Information from Molecular Pathway Diagrams.
Proceedings of the Graphics Recognition, Current Trends and Evolutions, 2017

Retrieval of Medical Cases for Diagnostic Decisions: VISCERAL Retrieval Benchmark.
Proceedings of the Cloud-Based Benchmarking of Medical Image Analysis, 2017

VISCERAL Anatomy Benchmarks for Organ Segmentation and Landmark Localization: Tasks and Results.
Proceedings of the Cloud-Based Benchmarking of Medical Image Analysis, 2017

2016
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks.
IEEE Trans. Medical Imaging, 2016

2015
Texture classification of anatomical structures in CT using a context-free machine learning approach.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Pulmonary embolism detection using localized vessel-based features in dual energy CT.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Overview of the VISCERAL Challenge at ISBI 2015.
Proceedings of the VISCERAL Anatomy3 Organ Segmentation Challenge co-located with IEEE International Symposium on Biomedical Imaging (ISBI 2015), 2015

Overview of the VISCERAL Retrieval Benchmark 2015.
Proceedings of the Multimodal Retrieval in the Medical Domain, 2015

Overview of the First Workshop of Muldimodal Retrieval in the Medical Domain (MRMD 2015).
Proceedings of the Multimodal Retrieval in the Medical Domain, 2015

Workshop Multimodal Retrieval in the Medical Domain (MRMD) 2015.
Proceedings of the Advances in Information Retrieval, 2015

Semi-supervised Learning for Image Modality Classification.
Proceedings of the Multimodal Retrieval in the Medical Domain, 2015

Meaningful Bags of Words for Medical Image Classification and Retrieval.
Proceedings of the Health Monitoring and Personalized Feedback using Multimedia Data, 2015

2014
Rotation-Covariant Texture Learning Using Steerable Riesz Wavelets.
IEEE Trans. Image Process., 2014

Retrieval of high-dimensional visual data: current state, trends and challenges ahead.
Multim. Tools Appl., 2014

Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities.
Medical Image Anal., 2014

Enhanced visualization of pulmonary perfusion in 4D Dual Energy CT images.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Medical image retrieval using bag of meaningful visual words: unsupervised visual vocabulary pruning with PLSA.
Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare, 2013

Epileptogenic Lesion Quantification in MRI Using Contralateral 3D Texture Comparisons.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2D-Based 3D Volume Retrieval Using Singular Value Decomposition of Detected Regions.
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013


Rotation-covariant texture analysis of 4D dual-energy CT as an indicator of local pulmonary perfusion.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Benefits of texture analysis of dual energy CT for Computer-Aided pulmonary embolism detection.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Ground truth generation in medical imaging: a crowdsourcing-based iterative approach.
Proceedings of the ACM multimedia 2012 workshop on Crowdsourcing for multimedia, 2012

Three dimensional multi-scale visual words for texture-based cerebellum segmentation.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Retrieval of 4D Dual Energy CT for Pulmonary Embolism Diagnosis.
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2012

Multiscale Lung Texture Signature Learning Using the Riesz Transform.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011
Using Multiscale Visual Words for Lung Texture Classification and Retrieval.
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2011

Lung Texture Classification Using Locally-Oriented Riesz Components.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011


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