Carlos Cano-Espinosa

According to our database, Carlos Cano-Espinosa authored at least 8 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multi-site, Multi-domain Airway Tree Modeling.

Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lu, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu

Medical Image Anal., December, 2023

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation.

Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lv, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu

CoRR, 2023

2020

Biomarker Localization From Deep Learning Regression Networks.

Carlos Cano-Espinosa, Germán González, George R. Washko, Miguel Cazorla, Raúl San José Estépar

IEEE Trans. Medical Imaging, 2020

UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays.

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

CoRR, 2020

Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE).

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

CoRR, 2020

2019

Localizing Image-Based Biomarker Regression Without Training Masks: A New Approach to Biomarker Discovery.

Carlos Cano-Espinosa, Germán González, George R. Washko, Miguel Cazorla, Raúl San José Estépar

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Automated Agatston score computation in non-ECG gated CT scans using deep learning.

Carlos Cano-Espinosa, Germán González, George R. Washko, Miguel Cazorla, Raúl San José Estépar

Proceedings of the Medical Imaging 2018: Image Processing, 2018

On the Relevance of the Loss Function in the Agatston Score Regression from Non-ECG Gated CT Scans.

Carlos Cano-Espinosa, Germán González, George R. Washko, Miguel Cazorla, Raúl San José Estépar

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018