Germán González

Publication Activity (10 Years)

Years Active: 2008-2020
Publications (10 Years): 16

Top Topics

Tchebichef Moments

Top Venues

RAMBO+BIA+TIA@MICCAI

Medical Imaging: Image Processing

Publications

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 (2020)
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 (2020)
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) (2020)
María de la Iglesia-Vayá, José Manuel Saborit, Joaquim Angel Montell, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, Marisa Caparrós, Germán González, José María Salinas
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients. CoRR (2020)
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)
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)
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)
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)
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)
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) (2017)
Juan Cruz Rodriguez, Germán González, Cristóbal Fresno, Andrea S. Llera, Elmer Andrés Fernández
Improving information retrieval in functional analysis. Comput. Biol. Medicine 79 (2016)
Rodrigo Nava, Germán González, Jan Kybic, Boris Escalante-Ramírez
Characterization of hematologic malignancies based on discrete orthogonal moments. IPTA (2016)
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)
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)
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)
Juan Cruz Rodriguez, Germán González, Cristóbal Fresno, Elmer Andrés Fernández
Integrative Functional Analysis Improves Information Retrieval in Breast Cancer. CIARP (2015)
Germán González, Vicente Parot, William Lo, Benjamin J. Vakoc, Nicholas J. Durr
Feature Space Optimization for Virtual Chromoendoscopy Augmented by Topography. MICCAI (1) (2014)
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 (2014)
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)
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) (2011)
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) (2011)
Germán González, Engin Türetken, François Fleuret, Pascal Fua
Delineating trees in noisy 2D images and 3D image-stacks. CVPR (2010)
Engin Türetken, Christian Blum, Germán González, Pascal Fua
Reconstructing Geometrically Consistent Tree Structures from Noisy Images. MICCAI (1) (2010)
Germán González, François Aguet, François Fleuret, Michael Unser, Pascal Fua
Steerable Features for Statistical 3D Dendrite Detection. MICCAI (1) (2009)
Germán González, François Fleuret, Pascal Fua
Learning rotational features for filament detection. CVPR (2009)
Germán González, François Fleuret, Pascal Fua
Automated Delineation of Dendritic Networks in Noisy Image Stacks. ECCV (4) (2008)