A framework for incorporating DTI Atlas Builder registration into tract-based spatial statistics and a simulated comparison to standard TBSS. - Matthew Leming; Rachel J. Steiner; Martin Styner (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

Deep Learning on Brain Images in Autism: What Do Large Samples Reveal of Its Complexity? - Matthew Leming; John Suckling (IWINAC (1), 2019)

Normative pathways in the functional connectome. - Matthew Leming; Li Su 002; Shayanti Chattopadhyay; John Suckling (NeuroImage, 2019)

Stochastic encoding of graphs in deep learning allows for complex analysis of gender classification in resting-state and task functional brain networks from the UK Biobank. - Matthew Leming; John Suckling (CoRR, 2020)

Single-participant structural connectivity matrices lead to greater accuracy in classification of participants than function in autism in MRI. - Matthew Leming; Simon Baron-Cohen; John Suckling (CoRR, 2020)

Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks. - Matthew Leming; Juan Manuel Górriz; John Suckling (Int. J. Neural Syst., 2020)

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications. - Juan Manuel Górriz; Javier Ramírez 001; Andrés Ortiz 001; Francisco Jesús Martínez-Murcia; Fermín Segovia; John Suckling; Matthew Leming; Yu-Dong Zhang 001; José Ramón Álvarez Sánchez; Guido Bologna; María Paula Bonomini; Fernando E. Casado; et al. (Neurocomputing, 2020)

Deep learning for sex classification in resting-state and task functional brain networks from the UK Biobank. - Matthew Leming; John Suckling (NeuroImage, 2021)

Construction of a confounder-free clinical MRI dataset in the Mass General Brigham system for classification of Alzheimer's disease. - Matthew Leming; Sudeshna Das 001; Hyungsoon Im (Artif. Intell. Medicine, 2022)

Multi-confound regression adversarial network for deep learning-based diagnosis on highly heterogenous clinical data. - Matthew Leming; Sudeshna Das 001; Hyungsoon Im (CoRR, 2022)

Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting. - Matthew Leming; Esther E. Bron; Rose Bruffaerts; Yangming Ou; Juan Eugenio Iglesias; Randy L. Gollub; Hyungsoon Im (npj Digit. Medicine, 2023)

Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. - J. M. Górriz; I. Álvarez Illán; Agustín Álvarez-Marquina; Juan Eloy Arco; Martin Atzmüller; F. Ballarini; Emilia I. Barakova; Guido Bologna; María Paula Bonomini; Germán Castellanos-Domínguez; Diego Castillo-Barnes; S. B. Cho; et al. (Inf. Fusion, 2023)