Matthew Leming

According to our database, Matthew Leming authored at least 12 papers between 2016 and 2023.

Collaborative distances:

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

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, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, José Javier Martínez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, António Pereira, Pedro Pinacho Davidson, María Angélica Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, V. Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, Shui-Hua Wang, Wei Wang, Yu-Dong Zhang, Hengde Zhu, Ziquan Zhu, J. M. Ferrández-Vicente

Inf. Fusion, December, 2023

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

2022

Multi-confound regression adversarial network for deep learning-based diagnosis on highly heterogenous clinical data.

Matthew Leming, Sudeshna Das, Hyungsoon Im

CoRR, 2022

Construction of a confounder-free clinical MRI dataset in the Mass General Brigham system for classification of Alzheimer's disease.

Matthew Leming, Sudeshna Das, Hyungsoon Im

Artif. Intell. Medicine, 2022

2021

Deep learning for sex classification in resting-state and task functional brain networks from the UK Biobank.

Matthew Leming, John Suckling

NeuroImage, 2021

2020

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications.

Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Fermín Segovia, John Suckling, Matthew Leming, Yu-Dong Zhang, José Ramón Álvarez Sánchez, Guido Bologna, María Paula Bonomini, Fernando E. Casado, David Charte, Francisco Charte, Ricardo Contreras, Alfredo Cuesta-Infante, Richard J. Duro, Antonio Fernández-Caballero, José Manuel Ferrández

Neurocomputing, 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

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

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

2019

Normative pathways in the functional connectome.

Matthew Leming, Li Su, Shayanti Chattopadhyay, John Suckling

NeuroImage, 2019

Deep Learning on Brain Images in Autism: What Do Large Samples Reveal of Its Complexity?

Matthew Leming, John Suckling

Proceedings of the Understanding the Brain Function and Emotions, 2019

2016

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

Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016