Germán González

26 papers A* 2B 2C 1Journal 9Unranked 12
YearRankTypeTitle / Venue / Authors
2020 J jnl
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients.
CoRR
María de la Iglesia-Vayá, José Manuel Saborit, Joaquim Angel Montell-Serrano, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Marisa Caparrós-Redondo, Germán González, José María Salinas
2020 J jnl
Biomarker Localization From Deep Learning Regression Networks.
IEEE Trans. Medical Imaging
Carlos Cano-Espinosa, Germán González, George R. Washko, Miguel Cazorla, Raúl San José Estépar
2020 J jnl
Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE).
CoRR
Germán González, Daniel Jimenez-Carretero, Sara Rodríguez-López, Carlos Cano-Espinosa, Miguel Cazorla, Tanya Agarwal, Vinit Agarwal, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang, Mojtaba Masoudi, Noushin Eftekhari, Mahdi Saadatmand Tarzjan, Hamid-Reza Pourreza, Patricia Fraga-Rivas, Eduardo Fraile Moreno, Frank J. Rybicki, Ara Kassarjian, Raúl San José Estépar, María J. Ledesma-Carbayo
2020 J jnl
UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays.
CoRR
Germán González, Aurelia Bustos, José María Salinas, María de la Iglesia-Vayá, Joaquin Galant, Carlos Cano-Espinosa, Xavier Barber, Domingo Orozco-Beltrán, Miguel Cazorla, Antonio Pertusa
2019 — conf
Localizing Image-Based Biomarker Regression Without Training Masks: A New Approach to Biomarker Discovery.
ISBI
Carlos Cano-Espinosa, Germán González, George R. Washko, Miguel Cazorla, Raúl San José Estépar
2018 B conf
Automated Agatston score computation in non-ECG gated CT scans using deep learning.
Image Processing
Carlos Cano-Espinosa, Germán González, George R. Washko, Miguel Cazorla, Raúl San José Estépar
2018 B conf
Deep learning for biomarker regression: application to osteoporosis and emphysema on chest CT scans.
Image Processing
Germán González, George R. Washko, Raúl San José Estépar
2018 — conf
Multi-structure Segmentation from Partially Labeled Datasets. Application to Body Composition Measurements on CT Scans.
RAMBO+BIA+TIA@MICCAI
Germán González, George R. Washko, Raúl San José Estépar
2018 — conf
On the Relevance of the Loss Function in the Agatston Score Regression from Non-ECG Gated CT Scans.
RAMBO+BIA+TIA@MICCAI
Carlos Cano-Espinosa, Germán González, George R. Washko, Miguel Cazorla, Raúl San José Estépar
2017 J jnl
A novel non-parametric method for uncertainty evaluation of correlation-based molecular signatures: its application on PAM50 algorithm.
Bioinform.
Cristóbal Fresno, Germán González, Gabriela Alejandra Merino, Ana Georgina Flesia, Osvaldo L. Podhajcer, Andrea S. Llera, Elmer Andrés Fernández
2016 — conf
Automated Agatston score computation in a large dataset of non ECG-gated chest computed tomography.
ISBI
Germán González, George R. Washko, Raúl San José Estépar
2016 — conf
Characterization of hematologic malignancies based on discrete orthogonal moments.
IPTA
Rodrigo Nava, Germán González, Jan Kybic, Boris Escalante-Ramírez
2016 J jnl
Improving information retrieval in functional analysis.
Comput. Biol. Medicine
Juan Cruz Rodriguez, Germán González, Cristóbal Fresno, Andrea S. Llera, Elmer Andrés Fernández
2015 — conf
Automatic ventricle detection in Computed Tomography Pulmonary Angiography.
ISBI
Sara Rodriguez-Lopez, Daniel Jimenez-Carretero, Raúl San José Estépar, Eduardo Fraile Moreno, Kanako K. Kumamaru, Frank J. Rybicki, María J. Ledesma-Carbayo, Germán González
2015 — conf
Classification of Tumor Epithelium and Stroma in Colorectal Cancer Based on Discrete Tchebichef Moments.
CLIP@MICCAI
Rodrigo Nava, Germán González, Jan Kybic, Boris Escalante-Ramírez
2015 C conf
Integrative Functional Analysis Improves Information Retrieval in Breast Cancer.
CIARP
Juan Cruz Rodriguez, Germán González, Cristóbal Fresno, Elmer Andrés Fernández
2014 — conf
Feature Space Optimization for Virtual Chromoendoscopy Augmented by Topography.
MICCAI (1)
Germán González, Vicente Parot, William Lo, Benjamin J. Vakoc, Nicholas J. Durr
2014 J jnl
On the relevance of sparsity for image classification.
Comput. Vis. Image Underst.
Roberto Rigamonti, Vincent Lepetit, Germán González, Engin Türetken, Fethallah Benmansour, Matthew A. Brown, Pascal Fua
2013 — conf
Automated quantification of morphodynamics for high-throughput live cell time-lapse datasets.
ISBI
Germán González, Ludovico Fusco, Fethallah Benmansour, Pascal Fua, Olivier Pertz, Kevin Smith
2011 J jnl
Automated Reconstruction of Dendritic and Axonal Trees by Global Optimization with Geometric Priors.
Neuroinformatics
Engin Türetken, Germán González, Christian Blum, Pascal Fua
2011 J jnl
Automatic Understanding of ATC Speech: Study of Prospectives and Field Experiments for Several Controller Positions.
IEEE Trans. Aerosp. Electron. Syst.
José Manuel Pardo, Javier Ferreiros, Fernando Fernández Martínez, Valentín Sama Rojo, Ricardo de Córdoba, Javier Macías Guarasa, Juan Manuel Montero, Rubén San-Segundo-Hernández, Luis Fernando D'Haro, Germán González
2010 A* conf
Delineating trees in noisy 2D images and 3D image-stacks.
CVPR
Germán González, Engin Türetken, François Fleuret, Pascal Fua
2010 — conf
Reconstructing Geometrically Consistent Tree Structures from Noisy Images.
MICCAI (1)
Engin Türetken, Christian Blum, Germán González, Pascal Fua
2009 A* conf
Learning rotational features for filament detection.
CVPR
Germán González, François Fleuret, Pascal Fua
2009 — conf
Steerable Features for Statistical 3D Dendrite Detection.
MICCAI (1)
Germán González, François Aguet, François Fleuret, Michael Unser, Pascal Fua
2008 — conf
Automated Delineation of Dendritic Networks in Noisy Image Stacks.
ECCV (4)
Germán González, François Fleuret, Pascal Fua