Carlos Cano Espinosa
Carlos Cano Espinosa
PhD in Computer Science, University of Alicante
Verified email at ua.es
Title
Cited by
Cited by
Year
Automated Agatston score computation in non-ECG gated CT scans using deep learning
C Cano-Espinosa, G González, GR Washko, M Cazorla, RSJ Estépar
Medical Imaging 2018: Image Processing 10574, 105742K, 2018
482018
Biomarker localization from deep learning regression networks
C Cano-Espinosa, G González, GR Washko, M Cazorla, RSJ Estépar
IEEE transactions on medical imaging 39 (6), 2121-2132, 2020
72020
Computer Aided Detection of Pulmonary Embolism Using Multi-Slice Multi-Axial Segmentation
C Cano-Espinosa, M Cazorla, G González
Applied Sciences 10 (8), 2945, 2020
62020
Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE)
G González, D Jimenez-Carretero, S Rodríguez-López, C Cano-Espinosa, ...
arXiv preprint arXiv:2003.13440, 2020
32020
On the relevance of the loss function in the agatston score regression from non-ecg gated ct scans
C Cano-Espinosa, G González, GR Washko, M Cazorla, RSJ Estépar
Image Analysis for Moving Organ, Breast, and Thoracic Images, 326-334, 2018
32018
Umls-chestnet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of covid-19 in chest x-rays
G González, A Bustos, JM Salinas, M de la Iglesia-Vaya, J Galant, ...
arXiv preprint arXiv:2006.05274, 2020
22020
Localizing Image-Based Biomarker Regression Without Training Masks: A New Approach to Biomarker Discovery
C Cano-Espinosa, G González, GR Washko, M Cazorlaa, RSJ Estépar
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
2019
Image-Based Biomarker Localization from Regression Networks
C Cano Espinosa
Universidad de Alicante, 2019
2019
SmartUA: Plataformas de Servicios Integrales para Smart City (versión 2.1. 1)
JV Berna-Martinez, F Maciá Pérez, JM Sánchez Bernabeu, ...
2017
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