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2020 – today
- 2024
[j5]Jennifer Salguero
, Prateek Prasanna, Germán Corredor, Angel Cruz-Roa, David Becerra, Eduardo Romero:
Data distillation in computational pathology by choosing few representants of the original variance: A use case in ovarian cancer. Expert Syst. Appl. 245: 123028 (2024)- [c21]Andrés Felipe Carrera-Pinzón, Leonard Toro-Quitian, Juan Camilo Torres, Alexander Cerón, Wilsón Sarmiento, Arnold Mendez-Toro, Angel Cruz-Roa, R. E. Gutiérrez-Carvajal, Carlos Órtiz Davila, Fabio A. González, Eduardo Romero, Marcela Iregui Guerrero:
Characterizing the Left Ventricular Ultrasound Dynamics in the Frequency Domain to Estimate the Cardiac Function. MICCAI (1) 2024: 221-230 - 2023
- [c20]Fabián Cano, Charlems Álvarez Jimenez, Eduardo Romero, Angel Cruz-Roa:
Ensemble of Unsupervised Learned Image Representations Based On Variational Autoencoders for Lung Adenocarcinoma Subtype Differentiation. ISBI 2023: 1-5 - [c19]Johan Albarracin, Fabián Cano, Eduardo Romero, Angel Cruz-Roa:
A comparative analysis between two convolutional networks architectures for semantic segmentation of histopathology breast cancer images. SIPAIM 2023: 1-5 - [c18]Andrés Felipe Carrera-Pinzón, Leonard Toro-Quitian, Marcela Iregui Guerrero, Angel Cruz-Roa, R. E. Gutiérrez-Carvajal, Eduardo Romero:
Correlation of intraventricular blood patterns with the Ejection Fraction in ultrasound images. SIPAIM 2023: 1-4 - [c17]Mauricio Caviedes, Fabián Cano, David Becerra, Angel Cruz-Roa, Eduardo Romero:
An automatic classification of metaplasia in gastric histopathology images. SIPAIM 2023: 1-4 - [c16]Leonard Toro-Quitian, Juan Camilo Torres, Andrés Felipe Carrera-Pinzón, R. E. Gutiérrez-Carvajal, Marcela Iregui Guerrero, Angel Cruz-Roa, Carlos Órtiz Davila, Eduardo Romero:
Automatic estimation of the ejection fraction from diastole and systole ultrasound images by a simplified end-to-end U-Net neural network. SIPAIM 2023: 1-5
2010 – 2019
- 2018
- [c15]Darwin Díaz, Germán Corredor, Eduardo Romero, Angel Cruz-Roa:
A Web-Based Telepathology Framework for Collaborative Work of Pathologists to Support Teaching and Research in Latin America. SaMBa@MICCAI 2018: 105-112 - 2017
- [c14]Daniel Zapata, Angel Cruz-Roa, Andrés Jiménez:
Automatic Classification of Optical Defects of Mirrors from Ronchigram Images Using Bag of Visual Words and Support Vector Machines. CIARP 2017: 719-726 - 2016
- [j4]Adrián Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Angel Cruz-Roa, Fabio A. González:
Improving the BoVW via discriminative visual n-grams and MKL strategies. Neurocomputing 175: 768-781 (2016) - [c13]Mateo Puerto, Tania Vargas, Angel Cruz-Roa:
A Digital Pathology application for whole-slide histopathology image analysis based on genetic algorithm and Convolutional Networks. LA-CCI 2016: 1-7 - 2015
- [j3]John Edison Arevalo Ovalle, Angel Cruz-Roa, Viviana Arias, Eduardo Romero, Fabio A. González:
An unsupervised feature learning framework for basal cell carcinoma image analysis. Artif. Intell. Medicine 64(2): 131-145 (2015) - [j2]Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio A. González, Anders Boesen Lindbo Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Ciresan, Jürgen Schmidhuber, Alessandro Giusti, Luca Maria Gambardella, Faik Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frédéric Precioso, Violet Snell, Josef Kittler, Teófilo Emídio de Campos, Adnan Mujahid Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim:
Assessment of algorithms for mitosis detection in breast cancer histopathology images. Medical Image Anal. 20(1): 237-248 (2015) - [c12]Sebastián Sierra, Juan F. Molina, Angel Cruz-Roa, José Daniel Pabón, Raúl Ramos-Pollán, Fabio A. González, Hugo Franco:
Classification of Low-Level Atmospheric Structures Based on a Pyramid Representation and a Machine Learning Method. CIARP 2015: 19-26 - [c11]David Romo-Bucheli, Ricardo Moncayo, Angel Cruz-Roa, Eduardo Romero:
Identifying histological concepts on basal cell carcinoma images using nuclei based sampling and multi-scale descriptors. ISBI 2015: 1008-1011 - [c10]Sebastian Otálora, Angel Cruz-Roa, John Edison Arevalo Ovalle, Manfredo Atzori, Anant Madabhushi, Alexander R. Judkins, Fabio A. González, Henning Müller, Adrien Depeursinge:
Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma. MICCAI (1) 2015: 581-588 - 2014
- [c9]Haibo Wang, Angel Cruz-Roa, Ajay Basavanhally, Hannah Gilmore, Natalie Shih, Mike Feldman, John Tomaszewski, Fabio A. González, Anant Madabhushi:
Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection. Digital Pathology 2014: 90410B - [c8]Angel Cruz-Roa, Ajay Basavanhally, Fabio A. González, Hannah Gilmore, Michael D. Feldman, Shridar Ganesan, Natalie Shih, John Tomaszewski, Anant Madabhushi:
Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks. Digital Pathology 2014: 904103 - [i1]Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio A. González, Anders Boesen Lindbo Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Ciresan, Jürgen Schmidhuber, Alessandro Giusti, Luca Maria Gambardella, Faik Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frédéric Precioso, Violet Snell, Josef Kittler, Teófilo Emídio de Campos, Adnan Mujahid Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim:
Assessment of algorithms for mitosis detection in breast cancer histopathology images. CoRR abs/1411.5825 (2014) - 2013
- [c7]Angel Alfonso Cruz-Roa, John Edison Arevalo Ovalle, Anant Madabhushi, Fabio Augusto González Osorio:
A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection. MICCAI (2) 2013: 403-410 - [c6]Angel Cruz-Roa, Eduardo Romero, Fabio A. González:
An adaptive image representation learned from data for cervix cancer tumor detection. Digital Pathology 2013: 86760Q - 2012
- [c5]Andrea Rueda, John Edison Arevalo Ovalle, Angel Cruz-Roa, Eduardo Romero, Fabio A. González:
Bag of Features for Automatic Classification of Alzheimer's Disease in Magnetic Resonance Images. CIARP 2012: 559-566 - [c4]Raúl Ramos-Pollán, Fabio A. González, Juan C. Caicedo, Angel Cruz-Roa, Jorge E. Camargo, Jorge A. Vanegas, Santiago A. Perez, José David Bermeo, Juan Sebastian Otálora Montenegro, Paola K. Rozo, John Edison Arevalo Ovalle:
BIGS: A framework for large-scale image processing and analysis over distributed and heterogeneous computing resources. eScience 2012: 1-8 - [c3]Angel Cruz-Roa, Fabio A. González, Joseph Galaro, Alexander R. Judkins, David Ellison, Jennifer Baccon, Anant Madabhushi, Eduardo Romero:
A Visual Latent Semantic Approach for Automatic Analysis and Interpretation of Anaplastic Medulloblastoma Virtual Slides. MICCAI (1) 2012: 157-164 - 2011
- [j1]Angel Cruz-Roa, Juan C. Caicedo, Fabio A. González:
Visual pattern mining in histology image collections using bag of features. Artif. Intell. Medicine 52(2): 91-106 (2011)
2000 – 2009
- 2009
- [c2]Juan C. Caicedo, Angel Cruz-Roa, Fabio A. González:
Histopathology Image Classification Using Bag of Features and Kernel Functions. AIME 2009: 126-135 - [c1]Angel Cruz-Roa, Juan C. Caicedo, Fabio A. González:
Visual Pattern Analysis in Histopathology Images Using Bag of Features. CIARP 2009: 521-528
Coauthor Index
aka: Fabio Augusto González Osorio
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