Angel Cruz-Roa

36 papers B 1C 4Journal 7Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AE-HRS: Autoencoder-Based Health Recommender System for Forecasting Cardiovascular Conditions through Collaborative Filtering. SIPAIM Juan Torres-Santamaria, Oscar Diaz-Celis, Daniel Muñoz Melendez, Marcela Iregui, Eduardo Romero, Angel Cruz-Roa
2025	—	`conf`	Exploration Of Microscopy Image Super-Resolution Approach For Histopathology Using Deep Learning. SIPAIM Juan David Cruz Useche, Jairo David Cuero, Angel Cruz-Roa
2025	—	`conf`	Exploring a Multimodal Language Model for Auto-Captioning and Visual Question Answering in Histopathology Images. MCPR Johan Sánchez, Angel Cruz-Roa
2025	—	`conf`	Semantic Segmentation of Tissue in Histopathological Breast Cancer Images Using a U-Net. SIPAIM Johan Albarracin, Fabián Cano, Angel Cruz-Roa
2025	J	`jnl`	Towards deep-learning based detection and quantification of intestinal metaplasia on digitized gastric biopsies: a multi-expert comparative study. CoRR Fabián Cano, Mauricio Caviedes, Andres Siabatto, Jesus Villarreal, Jose Miguel Quijano, Álvaro Bedoya-Urresta, Marino Coral Bedoya, Yomaira Yepez Caicedo, Angel Cruz-Roa, Fabio A. González, Satish E. Viswanath, Eduardo Romero
2024	—	`conf`	A Domain Data-Driven Metric to Improve Traditional Visualization and Interaction with ECG Large Databases. SIPAIM Jean C. Polo, Juliana V. Castilla, Juan Camilo Torres, Alexander Cerón, Wilson J. Sarmiento, Angel Cruz-Roa, R. E. Gutiérrez-Carvajal, Eduardo Romero
2024	—	`conf`	Characterizing the Left Ventricular Ultrasound Dynamics in the Frequency Domain to Estimate the Cardiac Function. MICCAI (1) Andrés Felipe Carrera-Pinzón, Leonard Toro-Quitian, Juan Camilo Torres, Alexander Cerón, Wilson J. Sarmiento, Arnold Mendez-Toro, Angel Cruz-Roa, R. E. Gutiérrez-Carvajal, Carlos Órtiz Davila, Fabio A. González, Eduardo Romero, Marcela Iregui Guerrero
2024	—	`conf`	Comparative Analysis of Deep Neural Network Architectures for Heart Disease Classification in Electrocardiography Signals. SIPAIM Andrés Munõz, Juan Torres-Santamaria, Marcela Iregui, Eduardo Romero, Angel Cruz-Roa
2024	J	`jnl`	Data distillation in computational pathology by choosing few representants of the original variance: A use case in ovarian cancer. Expert Syst. Appl. Jennifer Salguero, Prateek Prasanna, Germán Corredor, Angel Cruz-Roa, David Becerra, Eduardo Romero
2024	—	`conf`	Evidence-Based Case Recommendation System for Cardiac Health Diagnosis Using Non-Negative Factorization Data-Driven Similarity Approach. SIPAIM Oscar Diaz-Celis, Juan Torres-Santamaria, Mauricio Caviedes, Marcela Iregui, R. E. Gutiérrez-Carvajal, Eduardo Romero, Angel Cruz-Roa
2024	—	`conf`	On the Interpretability of AI Cardiovascular Risk Models. SIPAIM Jean C. Polo, Marcela Iregui, Alexander Cerón, Wilson J. Sarmiento, Angel Cruz-Roa, Eduardo Romero, R. E. Gutiérrez-Carvajal
2023	—	`conf`	A comparative analysis between two convolutional networks architectures for semantic segmentation of histopathology breast cancer images. SIPAIM Johan Albarracin, Fabián Cano, Eduardo Romero, Angel Cruz-Roa
2023	—	`conf`	An automatic classification of metaplasia in gastric histopathology images. SIPAIM Mauricio Caviedes, Fabián Cano, David Becerra, Angel Cruz-Roa, Eduardo Romero
2023	—	`conf`	Automatic estimation of the ejection fraction from diastole and systole ultrasound images by a simplified end-to-end U-Net neural network. SIPAIM 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
2023	—	`conf`	Correlation of intraventricular blood patterns with the Ejection Fraction in ultrasound images. SIPAIM Andrés Felipe Carrera-Pinzón, Leonard Toro-Quitian, Marcela Iregui Guerrero, Angel Cruz-Roa, R. E. Gutiérrez-Carvajal, Eduardo Romero
2023	—	`conf`	Ensemble of Unsupervised Learned Image Representations Based On Variational Autoencoders for Lung Adenocarcinoma Subtype Differentiation. ISBI Fabián Cano, Charlems Álvarez Jimenez, Eduardo Romero, Angel Cruz-Roa
2022	—	`conf`	Selecting training samples for ovarian cancer classification via a semi-supervised clustering approach. Digital and Computational Pathology Jennifer Salguero López, Prateek Prasanna, Germán Corredor, Angel Cruz-Roa, David Becerra, Eduardo Romero
2018	—	`conf`	A Web-Based Telepathology Framework for Collaborative Work of Pathologists to Support Teaching and Research in Latin America. SaMBa@MICCAI Darwin Díaz, Germán Corredor, Eduardo Romero, Angel Cruz-Roa
2017	C	`conf`	Automatic Classification of Optical Defects of Mirrors from Ronchigram Images Using Bag of Visual Words and Support Vector Machines. CIARP Daniel Zapata, Angel Cruz-Roa, Andrés Jiménez
2016	—	`conf`	A Digital Pathology application for whole-slide histopathology image analysis based on genetic algorithm and Convolutional Networks. LA-CCI Mateo Puerto, Tania Vargas, Angel Cruz-Roa
2016	J	`jnl`	Improving the BoVW via discriminative visual n-grams and MKL strategies. Neurocomputing Adrián Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Angel Cruz-Roa, Fabio A. González
2015	J	`jnl`	An unsupervised feature learning framework for basal cell carcinoma image analysis. Artif. Intell. Medicine John Edison Arevalo Ovalle, Angel Cruz-Roa, Viviana Arias, Eduardo Romero, Fabio A. González
2015	J	`jnl`	Assessment of algorithms for mitosis detection in breast cancer histopathology images. Medical Image Anal. 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
2015	C	`conf`	Classification of Low-Level Atmospheric Structures Based on a Pyramid Representation and a Machine Learning Method. CIARP Sebastián Sierra, Juan F. Molina, Angel Cruz-Roa, José Daniel Pabón, Raúl Ramos-Pollán, Fabio A. González, Hugo Franco
2015	—	`conf`	Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma. MICCAI (1) Sebastian Otálora, Angel Cruz-Roa, John Edison Arevalo Ovalle, Manfredo Atzori, Anant Madabhushi, Alexander R. Judkins, Fabio A. González, Henning Müller, Adrien Depeursinge
2015	—	`conf`	Identifying histological concepts on basal cell carcinoma images using nuclei based sampling and multi-scale descriptors. ISBI David Romo-Bucheli, Ricardo Moncayo, Angel Cruz-Roa, Eduardo Romero
2014	J	`jnl`	Assessment of algorithms for mitosis detection in breast cancer histopathology images. CoRR 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
2014	—	`conf`	Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks. Digital Pathology Angel Cruz-Roa, Ajay Basavanhally, Fabio A. González, Hannah Gilmore, Michael D. Feldman, Shridar Ganesan, Natalie Shih, John Tomaszewski, Anant Madabhushi
2014	—	`conf`	Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection. Digital Pathology Haibo Wang, Angel Cruz-Roa, Ajay Basavanhally, Hannah Gilmore, Natalie Shih, Mike Feldman, John Tomaszewski, Fabio A. González, Anant Madabhushi
2013	—	`conf`	An adaptive image representation learned from data for cervix cancer tumor detection. Digital Pathology Angel Cruz-Roa, Eduardo Romero, Fabio A. González
2012	—	`conf`	A Visual Latent Semantic Approach for Automatic Analysis and Interpretation of Anaplastic Medulloblastoma Virtual Slides. MICCAI (1) Angel Cruz-Roa, Fabio A. González, Joseph Galaro, Alexander R. Judkins, David Ellison, Jennifer Baccon, Anant Madabhushi, Eduardo Romero
2012	—	`conf`	BIGS: A framework for large-scale image processing and analysis over distributed and heterogeneous computing resources. eScience 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
2012	C	`conf`	Bag of Features for Automatic Classification of Alzheimer's Disease in Magnetic Resonance Images. CIARP Andrea Rueda, John Edison Arevalo Ovalle, Angel Cruz-Roa, Eduardo Romero, Fabio A. González
2011	J	`jnl`	Visual pattern mining in histology image collections using bag of features. Artif. Intell. Medicine Angel Cruz-Roa, Juan C. Caicedo, Fabio A. González
2009	B	`conf`	Histopathology Image Classification Using Bag of Features and Kernel Functions. AIME Juan C. Caicedo, Angel Cruz-Roa, Fabio A. González
2009	C	`conf`	Visual Pattern Analysis in Histopathology Images Using Bag of Features. CIARP Angel Cruz-Roa, Juan C. Caicedo, Fabio A. González