A proposal of architecture to share patients data out of healthcare settings for research purposes. - Liss Hernández; Jorge Onieva; Giuseppe Fico; Jorge Cancela; Arianna Dagliati; Mauro Bucalo; Lucia Sacchi; Riccardo Bellazzi; María Teresa Arredondo (BHI, 2014)

Diffeomorphic Lung Registration Using Deep CNNs and Reinforced Learning. - Jorge Onieva Onieva; Berta Martí Fuster; María Pedrero de la Puente; Raúl San José Estépar (RAMBO+BIA+TIA@MICCAI, 2018)

3D Pulmonary Artery Segmentation from CTA Scans Using Deep Learning with Realistic Data Augmentation. - Karen López-Linares Román; Isaac de La Bruere; Jorge Onieva; Lasse Andresen; Jakob Qvortrup Holsting; Farbod N. Rahaghi; Iván Macía; Miguel Ángel González Ballester; Raúl San José Estépar (RAMBO+BIA+TIA@MICCAI, 2018)

Multiorgan structures detection using deep convolutional neural networks. - Jorge Onieva Onieva; Germán González Serrano; Thomas P. Young; George R. Washko; María-Jesus Ledesma-Carbayo; Raúl San José Estépar (Image Processing, 2018)

Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach. - William Lotter; Abdul Rahman Diab; Bryan Haslam; Jiye G. Kim; Giorgia Grisot; Eric Wu; Kevin Wu; Jorge Onieva Onieva; Jerrold L. Boxerman; Meiyun Wang; Mack Bandler; Gopal Vijayaraghavan; et al. (CoRR, 2019)

An open-source framework for pulmonary fissure completeness assessment. - James C. Ross; Pietro Nardelli; Jorge Onieva; Sarah E. Gerard; Rola Harmouche; Yuka Okajima; Alejandro A. Díaz 001; George R. Washko; Raúl San José Estépar (Comput. Medical Imaging Graph., 2020)