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 (RAMBO+BIA+TIA@MICCAI, 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 (Image Processing, 2018)

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 (ISBI, 2019)

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; et al. (CoRR, 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)

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)

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 008; Wen Tang; Corey W. Arnold; Chenhao Pei; Pengxin Yu; Yang Nan 002; Guang Yang 006; Simon Walsh; et al. (CoRR, 2023)

Multi-site, Multi-domain Airway Tree Modeling. - Minghui Zhang; Yangqian Wu; Hanxiao Zhang; Yulei Qin; Hao Zheng 008; Wen Tang; Corey W. Arnold; Chenhao Pei; Pengxin Yu; Yang Nan 002; Guang Yang 006; Simon Walsh; et al. (Medical Image Anal., 2023)