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ORCIDGermán González
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2020 – today
- 2023
[d4]María de la Iglesia-Vayá
, José Manuel Saborit-Torres, Joaquim Angel Montell-Serrano, Elena Oliver-Garcia, Marisa Caparrós-Redondo, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Germán González, José María Salinas:
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients with Extension Part I. IEEE DataPort, 2023
- [d3]María de la Iglesia-Vayá, José Manuel Saborit-Torres, Joaquim Angel Montell-Serrano, Elena Oliver-Garcia, Marisa Caparrós-Redondo, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Germán González, José María Salinas:
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients with Extension Part II. IEEE DataPort, 2023 - 2021
- [d2]María de la Iglesia-Vayá, José Manuel Saborit-Torres, Joaquim Angel Montell-Serrano, Elena Oliver-Garcia, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Marisa Caparrós-Redondo, Germán González, José María Salinas:
BIMCV COVID-19-: a large annotated dataset of RX and CT images from COVID-19 patients. IEEE DataPort, 2021 - [d1]María de la Iglesia-Vayá, José Manuel Saborit-Torres, Joaquim Angel Montell-Serrano, Elena Oliver-Garcia, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Marisa Caparrós-Redondo, Germán González, José María Salinas:
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients. IEEE DataPort, 2021 - 2020
- [j6]Carlos Cano-Espinosa, Germán González, George R. Washko, Miguel Cazorla, Raúl San José Estépar:
Biomarker Localization From Deep Learning Regression Networks. IEEE Trans. Medical Imaging 39(6): 2121-2132 (2020) - [i3]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:
Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE). CoRR abs/2003.13440 (2020) - [i2]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:
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients. CoRR abs/2006.01174 (2020) - [i1]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:
UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays. CoRR abs/2006.05274 (2020)
2010 – 2019
- 2019
- [c17]Carlos Cano-Espinosa, Germán González, George R. Washko, Miguel Cazorla, Raúl San José Estépar:
Localizing Image-Based Biomarker Regression Without Training Masks: A New Approach to Biomarker Discovery. ISBI 2019: 679-682 - 2018
- [c16]Germán González, George R. Washko, Raúl San José Estépar:
Multi-structure Segmentation from Partially Labeled Datasets. Application to Body Composition Measurements on CT Scans. RAMBO+BIA+TIA@MICCAI 2018: 215-224 - [c15]Carlos Cano-Espinosa, Germán González, George R. Washko, Miguel Cazorla, Raúl San José Estépar:
On the Relevance of the Loss Function in the Agatston Score Regression from Non-ECG Gated CT Scans. RAMBO+BIA+TIA@MICCAI 2018: 326-334 - [c14]Germán González, George R. Washko, Raúl San José Estépar:
Deep learning for biomarker regression: application to osteoporosis and emphysema on chest CT scans. Medical Imaging: Image Processing 2018: 105741H - [c13]Carlos Cano-Espinosa, Germán González, George R. Washko, Miguel Cazorla, Raúl San José Estépar:
Automated Agatston score computation in non-ECG gated CT scans using deep learning. Medical Imaging: Image Processing 2018: 105742K - 2017
- [j5]Cristóbal Fresno, Germán González, Gabriela Alejandra Merino, Ana Georgina Flesia, Osvaldo L. Podhajcer, Andrea S. Llera, Elmer Andrés Fernández:
A novel non-parametric method for uncertainty evaluation of correlation-based molecular signatures: its application on PAM50 algorithm. Bioinform. 33(5): 693-700 (2017) - 2016
- [j4]Juan Cruz Rodriguez, Germán González, Cristóbal Fresno, Andrea S. Llera, Elmer Andrés Fernández:
Improving information retrieval in functional analysis. Comput. Biol. Medicine 79: 10-20 (2016) - [c12]Rodrigo Nava, Germán González, Jan Kybic, Boris Escalante-Ramírez:
Characterization of hematologic malignancies based on discrete orthogonal moments. IPTA 2016: 1-6 - [c11]Germán González, George R. Washko, Raúl San José Estépar:
Automated Agatston score computation in a large dataset of non ECG-gated chest computed tomography. ISBI 2016: 53-57 - 2015
- [c10]Juan Cruz Rodriguez, Germán González, Cristóbal Fresno, Elmer Andrés Fernández:
Integrative Functional Analysis Improves Information Retrieval in Breast Cancer. CIARP 2015: 43-50 - [c9]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:
Automatic ventricle detection in Computed Tomography Pulmonary Angiography. ISBI 2015: 1143-1146 - [c8]Rodrigo Nava, Germán González, Jan Kybic, Boris Escalante-Ramírez:
Classification of Tumor Epithelium and Stroma in Colorectal Cancer Based on Discrete Tchebichef Moments. CLIP@MICCAI 2015: 79-87 - 2014
- [j3]Roberto Rigamonti, Vincent Lepetit, Germán González, Engin Türetken, Fethallah Benmansour, Matthew A. Brown, Pascal Fua:
On the relevance of sparsity for image classification. Comput. Vis. Image Underst. 125: 115-127 (2014) - [c7]Germán González, Vicente Parot, William Lo, Benjamin J. Vakoc, Nicholas J. Durr:
Feature Space Optimization for Virtual Chromoendoscopy Augmented by Topography. MICCAI (1) 2014: 642-649 - 2013
- [c6]Germán González, Ludovico Fusco, Fethallah Benmansour, Pascal Fua, Olivier Pertz, Kevin Smith:
Automated quantification of morphodynamics for high-throughput live cell time-lapse datasets. ISBI 2013: 664-667 - 2011
- [j2]Engin Türetken, Germán González, Christian Blum, Pascal Fua:
Automated Reconstruction of Dendritic and Axonal Trees by Global Optimization with Geometric Priors. Neuroinformatics 9(2-3): 279-302 (2011) - [j1]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:
Automatic Understanding of ATC Speech: Study of Prospectives and Field Experiments for Several Controller Positions. IEEE Trans. Aerosp. Electron. Syst. 47(4): 2709-2730 (2011) - 2010
- [c5]Germán González, Engin Türetken, François Fleuret, Pascal Fua:
Delineating trees in noisy 2D images and 3D image-stacks. CVPR 2010: 2799-2806 - [c4]Engin Türetken, Christian Blum, Germán González, Pascal Fua:
Reconstructing Geometrically Consistent Tree Structures from Noisy Images. MICCAI (1) 2010: 291-299
2000 – 2009
- 2009
- [c3]Germán González, François Fleuret, Pascal Fua:
Learning rotational features for filament detection. CVPR 2009: 1582-1589 - [c2]Germán González, François Aguet, François Fleuret, Michael Unser, Pascal Fua:
Steerable Features for Statistical 3D Dendrite Detection. MICCAI (1) 2009: 625-632 - 2008
- [c1]Germán González, François Fleuret, Pascal Fua:
Automated Delineation of Dendritic Networks in Noisy Image Stacks. ECCV (4) 2008: 214-227
Coauthor Index
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