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Subirats L.; Piella G.. Big Data in healthcare from a sex and gender perspective. In: -. Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications -; 2022. p. 77-93.

Jiménez-Sánchez A, Mateus D, Kirchhoff S, Kirchhoff C, Biberthaler P, Navab N, González Ballester MA, Piella G. Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty. In: Koyejo S, Mohamed S, Agarwal A, Belgrave D, Cho K, Oh A. MED- Neurips 2022: Advances in Neural Information Processing Systems. 2022.

Rafael-Palou X, Aubanell A, Ceresa M, Ribas V, Piella G, Gonzalez-Ballester MA. Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans. In: Ayman El-Baz, Jasjit S Suri. Artificial Intelligence in Cancer Diagnosis and Prognosis, Volume 1: Lung and Kidney Cancer. Institute of Physics (Great Britain); 2022. p. 7-20.

Masias M, González Ballester MA, Piella G. Predicting structural brain trajectories with discrete optimal transport normalizing flows. In: Koyejo S, Mohamed S, Agarwal A, Belgrave D, Cho K, Oh A. MED- Neurips 2022: Advances in Neural Information Processing Systems. 2022. p. 1-4.

Comte V, Alenyà M, Urru A, Nakaki A, Crovetto F, Camara O, Eixarch E, Crispi F, Piella G, Ceresa M, González Ballester MA. Unsupervised fetal MR segmentation using multi-atlas deep learning registration. In: Koyejo S, Mohamed S, Agarwal A, Belgrave D, Cho K, Oh A. MED- Neurips 2022: Advances in Neural Information Processing Systems. 2022.

García Ocaña I, López-Linares Román K, Lete N, González Ballester MA, Macía Oliver I. Medical image detection using deep learning. In: Chen, Yen-Wei; Jain, Lakhmi C. (Eds.). Deep Learning in Healthcare. 2020. p. 3-16.

López-Linares RK, García Ocaña MI, Lete Urzelai N, González Ballester Ma, Macía Oliver I. Medical Image Segmentation Using Deep Learning. In: Chen YW, Jain LC. Deep Learning in Healthcare: Paradigms and Applications:. Springer, Cham; 2020. p. 17-31.

Urru A, González Ballester MA, Zhang C. 2D+time object tracking using Fiji and Ilastik. In: Rebollo, Elena, Bosch, Manel (Eds.). Computer Optimized Microscopy: Methods and Protocols. 2019. p. 423-448.

Casacuberta D, Tassani S. Progress in Biomedical Sciences and Raw Data: Ethical Dilemmas. In: Vallverdu, Jordi; Puyol, Angel; Estany, Anna (eds.). Philosophical and methodological debates in public health. New York: Springer; 2019.

Benkarim OM, Sanroma G, Piella G, Rekik I, Hahner N, Eixarch E, González Ballester MA, Shen D, Li G.. Revealing regional associations of cortical folding alterations with in utero ventricular dilation using joint spectral embedding. In: Baeza-Yates R, Cuzzocrea A, Crea D, Lo Bianco G.. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018. p. 620-627.

Duchateau N.; Piella G.; Frangi A.; De Craene M.. Learning pathological deviations from a normal pattern of myocardial motion: Added value for CRT studies?. In: -. Machine Learning and Medical Imaging 1st Edition. Academic Press, Elsevier; 2016. p. 365-382.

Piella G.. Performance Assessment in Image Fusion. In: Davis, C.T. (Ed.). Image Fusion: Principles, Technology and Applications. Nova Science; 2015. p. 1-16.