Angel Cruz-Roa

According to our database1, Angel Cruz-Roa authored at least 18 papers between 2009 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

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
Improving the BoVW via discriminative visual n-grams and MKL strategies.
Neurocomputing, 2016

2015
Assessment of algorithms for mitosis detection in breast cancer histopathology images.
Medical Image Analysis, 2015

An unsupervised feature learning framework for basal cell carcinoma image analysis.
Artificial Intelligence in 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
Assessment of algorithms for mitosis detection in breast cancer histopathology images.
CoRR, 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
Visual pattern mining in histology image collections using bag of features.
Artificial Intelligence in Medicine, 2011

2009
Visual Pattern Analysis in Histopathology Images Using Bag of Features.
Proceedings of the Progress in Pattern Recognition, 2009

Histopathology Image Classification Using Bag of Features and Kernel Functions.
Proceedings of the Artificial Intelligence in Medicine, 2009


  Loading...