Angel Cruz-Roa
Orcid: 0000-0003-3389-8913
According to our database1,
Angel Cruz-Roa
authored at least 24 papers
between 2009 and 2023.
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Bibliography
2023
Automatic estimation of the ejection fraction from diastole and systole ultrasound images by a simplified end-to-end U-Net neural network.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023
Correlation of intraventricular blood patterns with the Ejection Fraction in ultrasound images.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023
A comparative analysis between two convolutional networks architectures for semantic segmentation of histopathology breast cancer images.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023
Ensemble of Unsupervised Learned Image Representations Based On Variational Autoencoders for Lung Adenocarcinoma Subtype Differentiation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2018
A Web-Based Telepathology Framework for Collaborative Work of Pathologists to Support Teaching and Research in Latin America.
Proceedings of the Processing and Analysis of Biomedical Information, 2018
2017
Automatic Classification of Optical Defects of Mirrors from Ronchigram Images Using Bag of Visual Words and Support Vector Machines.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017
2016
Neurocomputing, 2016
A Digital Pathology application for whole-slide histopathology image analysis based on genetic algorithm and Convolutional Networks.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016
2015
Assessment of algorithms for mitosis detection in breast cancer histopathology images.
Medical Image Anal., 2015
Artif. Intell. Medicine, 2015
Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Identifying histological concepts on basal cell carcinoma images using nuclei based sampling and multi-scale descriptors.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Classification of Low-Level Atmospheric Structures Based on a Pyramid Representation and a Machine Learning Method.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015
2014
Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
2013
An adaptive image representation learned from data for cervix cancer tumor detection.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013
A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
2012
A Visual Latent Semantic Approach for Automatic Analysis and Interpretation of Anaplastic Medulloblastoma Virtual Slides.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
BIGS: A framework for large-scale image processing and analysis over distributed and heterogeneous computing resources.
Proceedings of the 8th IEEE International Conference on E-Science, 2012
Bag of Features for Automatic Classification of Alzheimer's Disease in Magnetic Resonance Images.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012
2011
Artif. Intell. Medicine, 2011
2009
Proceedings of the Progress in Pattern Recognition, 2009
Proceedings of the Artificial Intelligence in Medicine, 2009