John Suckling

According to our database, John Suckling authored at least 55 papers between 1999 and 2024.

Collaborative distances:

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

2024

The Explanation Necessity for Healthcare AI.

Michail Mamalakis, Héloïse de Vareilles, Graham K. Murray, Pietro Lio, John Suckling

CoRR, 2024

Contrastive-Adversarial and Diffusion: Exploring pre-training and fine-tuning strategies for sulcal identification.

Michail Mamalakis, Héloïse de Vareilles, Shun-Chin Jim Wu, Ingrid Agartz, Lynn Egeland Mørch-Johnsen, Jane R. Garrison, Jon S. Simons, Pietro Lio, John Suckling, Graham K. Murray

CoRR, 2024

Solving the enigma: Deriving optimal explanations of deep networks.

Michail Mamalakis, Antonios Mamalakis, Ingrid Agartz, Lynn Egeland Mørch-Johnsen, Graham K. Murray, John Suckling, Pietro Lio

CoRR, 2024

Statistical Agnostic Regression: a machine learning method to validate regression models.

Juan Manuel Górriz, J. Ramirez, Fermín Segovia, Francisco Jesús Martínez-Murcia, Carmen Jiménez-Mesa, John Suckling

CoRR, 2024

Is K-fold cross validation the best model selection method for Machine Learning?

Juan Manuel Górriz, Fermín Segovia, Javier Ramírez, Andrés Ortiz, John Suckling

CoRR, 2024

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, S. H. Wang, Wei Wang, Y. D. Zhang, Hengde Zhu, Z. Zhu, J. M. Ferrández-Vicente

Inf. Fusion, December, 2023

Genome-wide association study of cerebellar white matter microstructure and genetic overlap with common brain disorders.

Bang-Sheng Wu, Yi-Jun Ge, Wei Zhang, Shi-Dong Chen, Shitong Xiang, Ya-Ru Zhang, Ya-Nan Ou, Yu-Chao Jiang, Lan Tan, Wei Cheng, John Suckling, Jianfeng Feng, Jin-Tai Yu, Ying Mao

NeuroImage, April, 2023

HUMANISE: Human-Inspired Smart Management, towards a Healthy and Safe Industrial Collaborative Robotics.

Karmele López de Ipiña, Jon Iradi, Elsa Fernández, Pilar M. Calvo, Damien Sallé, Anujan Poologaindran, Ivan Villaverde, Paul Daelman, Emilio Sánchez, Catalina Requejo, John Suckling

Sensors, February, 2023

A non-parametric statistical inference framework for Deep Learning in current neuroimaging.

Carmen Jimenez-Mesa, Javier Ramírez, John Suckling, Jonathan Vöglein, Johannes Levin, Juan Manuel Górriz

Inf. Fusion, 2023

A 3D explainability framework to uncover learning patterns and crucial sub-regions in variable sulci recognition.

Michail Mamalakis, Héloïse de Vareilles, Atheer AI-Manea, Samantha C. Mitchell, Ingrid Agartz, Lynn Egeland Morch-Johnsen, Jane R. Garrison, Jon S. Simons, Pietro Lio, John Suckling, Graham K. Murray

CoRR, 2023

2022

Inferring the Individual Psychopathologic Deficits With Structural Connectivity in a Longitudinal Cohort of Schizophrenia.

Yi Sun, Zhe Zhang, Ioannis Kakkos, George K. Matsopoulos, Jingjia Yuan, John Suckling, Luoyi Xu, Shuxia Cao, Wenjuan Chen, Xingyue Hu, Tao Li, Kang Sim, Peng Qi, Yu Sun

IEEE J. Biomed. Health Informatics, 2022

A Connection Between Pattern Classification by Machine Learning and Statistical Inference With the General Linear Model.

J. M. Górriz, Carmen Jimenez-Mesa, Fermín Segovia, Javier Ramírez, John Suckling

IEEE J. Biomed. Health Informatics, 2022

A hypothesis-driven method based on machine learning for neuroimaging data analysis.

Juan Manuel Górriz, Rubén Martín-Clemente, Carlos García Puntonet, Andrés Ortiz, Javier Ramírez, John Suckling

Neurocomputing, 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

Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities.

Juan Manuel Górriz, Carmen Jimenez-Mesa, Rafael Romero-Garcia, Fermín Segovia, Javier Ramírez, Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Andrés Ortiz, Diego Salas-Gonzalez, Ignacio Álvarez Illán, Carlos García Puntonet, David López-García, Manuel Gómez-Río, John Suckling

Inf. Fusion, 2021

Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability.

Carmen Jimenez-Mesa, Javier Ramírez, John Suckling, Jonathan Vöglein, Johannes Levin, Juan Manuel Górriz, Alzheimer's Disease Neuroimaging Initiative, Dominantly Inherited Alzheimer Network (DIAN)

CoRR, 2021

2020

Granger causality-based information fusion applied to electrical measurements from power transformers.

Jacob Rodriguez-Rivero, Javier Ramírez, Francisco Jesús Martínez-Murcia, Fermín Segovia, Andrés Ortiz, Diego Salas-Gonzalez, Diego Castillo-Barnes, Ignacio Álvarez Illán, Carlos García Puntonet, Carmen Jimenez-Mesa, F. J. Leiva, S. Carillo, John Suckling, Juan Manuel Górriz

Inf. Fusion, 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

A connection between the pattern classification problem and the General Linear Model for statistical inference.

Juan Manuel Górriz, 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

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

On the computation of distribution-free performance bounds: Application to small sample sizes in neuroimaging.

Juan Manuel Górriz, Javier Ramírez, MRC AIMS Consortium, John Suckling

Pattern Recognit., 2019

Normative pathways in the functional connectome.

Matthew Leming, Li Su, Shayanti Chattopadhyay, John Suckling

NeuroImage, 2019

A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms.

Juan Manuel Górriz, Javier Ramírez, Fermín Segovia, Francisco Jesús Martínez-Murcia, Meng-Chuan Lai, Michael V. Lombardo, Simon Baron-Cohen, John Suckling

Int. J. Neural Syst., 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

2017

A semi-supervised learning approach for model selection based on class-hypothesis testing.

Juan Manuel Górriz, Javier Ramírez, John Suckling, Francisco Jesús Martínez-Murcia, Ignacio Álvarez, Fermín Segovia, Andrés Ortiz, Diego Salas-Gonzalez, Diego Castillo-Barnes, Carlos García Puntonet

Expert Syst. Appl., 2017

Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM.

Juan Manuel Górriz, Javier Ramírez, John Suckling, Ignacio Álvarez Illán, Andrés Ortiz García, Francisco Jesús Martínez-Murcia, Fermín Segovia, Diego Salas-Gonzalez, Shuihua Wang

IEEE Access, 2017

2016

Corrigendum to "Multivariate and repeated measures (MRM): A new toolbox for dependent and multimodal group-level neuroimaging data" [NeuroImage 132 (2016) 373-389].

Martyn McFarquhar, Shane McKie, Richard Emsley, John Suckling, Rebecca Elliott, Stephen Ross Williams

NeuroImage, 2016

Multivariate and repeated measures (MRM): A new toolbox for dependent and multimodal group-level neuroimaging data.

Martyn McFarquhar, Shane McKie, Richard Emsley, John Suckling, Rebecca Elliott, Stephen Ross Williams

NeuroImage, 2016

2015

A Winding Road: Alzheimer's Disease Increases Circuitous Functional Connectivity Pathways.

John Suckling, Tiago Simas, Shayanti Chattopadhyay, Roger Tait, Li Su, Guy B. Williams, James B. Rowe, John T. O'Brien

Frontiers Comput. Neurosci., 2015

2014

A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series.

Ameera X. Patel, Prantik Kundu, Mikail Rubinov, P. Simon Jones, Petra E. Vértes, Karen D. Ersche, John Suckling, Edward T. Bullmore

NeuroImage, 2014

Structural neuroimaging correlates of allelic variation of the BDNF val66met polymorphism.

Natalie J. Forde, Lisa Ronan, John Suckling, Cathy Scanlon, Simon Neary, Laurena Holleran, Alexander Leemans, Roger Tait, Catarina Rua, Paul C. Fletcher, Ben Jeurissen, Chris M. Dodds, Sam R. Miller, Edward T. Bullmore, Colm McDonald, Pradeep J. Nathan, Dara M. Cannon

NeuroImage, 2014

Identifying endophenotypes of autism: a multivariate approach.

Fermín Segovia, Rosemary Holt, Michael D. Spencer, Juan Manuel Górriz, Javier Ramírez, Carlos García Puntonet, Christophe Phillips, Lindsay Chura, Simon Baron-Cohen, John Suckling

Frontiers Comput. Neurosci., 2014

2012

Consistency and interpretation of changes in millimeter-scale cortical intrinsic curvature across three independent datasets in schizophrenia.

Lisa Ronan, Natalie L. Voets, Morgan G. Hough, Clare E. Mackay, Neil Roberts, John Suckling, Edward T. Bullmore, Anthony James, Paul C. Fletcher

NeuroImage, 2012

Individual differences in brain structure underpin empathizing-systemizing cognitive styles in male adults.

Meng-Chuan Lai, Michael V. Lombardo, Bhismadev Chakrabarti, Christine Ecker, Susan A. Sadek, Sally J. Wheelwright, Declan G. M. Murphy, John Suckling, Edward T. Bullmore, Simon Baron-Cohen

NeuroImage, 2012

Neuregulin-1 genotype is associated with structural differences in the normal human brain.

Anna Barnes, Matti Isohanni, Jennifer H. Barnett, Olli Pietiläinen, Juha Veijola, Jouko Miettunen, Tiina Paunio, Päivikki Tanskanen, Khanum Ridler, John Suckling, Edward T. Bullmore, Peter B. Jones, Graham K. Murray

NeuroImage, 2012

Multifractal characterisation of electrocardiographic RR and QT time-series before and after progressive exercise.

M. J. Lewis, A. L. Short, John Suckling

Comput. Methods Programs Biomed., 2012

Sample Size Estimation for Comparing Parameters Using Dynamic Causal Modeling.

Nia Goulden, Rebecca Elliott, John Suckling, Stephen Ross Williams, John Francis William Deakin, Shane McKie

Brain Connect., 2012

2011

Intrinsic Curvature: a Marker of Millimeter-Scale Tangential cortico-Cortical Connectivity?

Lisa Ronan, Rudolph Pienaar, Guy B. Williams, Edward T. Bullmore, Tim J. Crow, Neil Roberts, Peter B. Jones, John Suckling, Paul C. Fletcher

Int. J. Neural Syst., 2011

Assessment of the impact of the scanner-related factors on brain morphometry analysis with Brainvisa.

Mahsa Shokouhi, Anna Barnes, John Suckling, Thomas W. J. Moorhead, David Brennan, Dominic Job, G. Katherine S. Lymer, Paola Dazzan, Tiago Reis Marques, Clare E. Mackay, Shane McKie, Steven C. R. Williams, Stephen M. Lawrie, Bill Deakin, Steve R. Williams, Barrie Condon

BMC Medical Imaging, 2011

2010

A comparison of permutation and parametric testing for between group effective connectivity differences using DCM.

Nia Goulden, Shane McKie, John Suckling, Stephen Ross Williams, Ian Muir Anderson, John Francis William Deakin, Rebecca Elliott

NeuroImage, 2010

Shared Neural Circuits for Mentalizing about the Self and Others.

Michael V. Lombardo, Bhismadev Chakrabarti, Edward T. Bullmore, Sally J. Wheelwright, Susan A. Sadek, John Suckling, Simon Baron-Cohen

J. Cogn. Neurosci., 2010

2009

Generic aspects of complexity in brain imaging data and other biological systems.

Ed Bullmore, Anna Barnes, Danielle S. Bassett, Alex Fornito, Manfred G. Kitzbichler, David Meunier, John Suckling

NeuroImage, 2009

CamBAfx: workflow design, implementation and application for neuroimaging.

Cinly Ooi, Edward T. Bullmore, Alle Meije Wink, Levent Sendur, Anna Barnes, Sophie Achard, John Aspden, Sanja Abbott, Shigang Yue, Manfred G. Kitzbichler, David Meunier, Voichita Maxim, Raymond Salvador, Julian Henty, Roger Tait, Naresh Subramaniam, John Suckling

Frontiers Neuroinformatics, 2009

2008

Standardized structural magnetic resonance imaging in multicentre studies using quantitative T₁ and T₂ imaging at 1.5 T.

Sean C. L. Deoni, Steven C. R. Williams, Peter Jezzard, John Suckling, Declan G. M. Murphy, Derek K. Jones

NeuroImage, 2008

Modulation of the fractal properties of low frequency endogenous brain oscillations in functional MRI by a working memory task.

Anna Barnes, Garry Honey, Alle Meije Wink, Edward T. Bullmore, John Suckling

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Resampling methods for improved wavelet-based multiple hypothesis testing of parametric maps in functional MRI.

Levent Sendur, John Suckling, Brandon J. Whitcher, Ed Bullmore

NeuroImage, 2007

Frequency based mutual information measures between clusters of brain regions in functional magnetic resonance imaging.

Raymond Salvador, Angel Martinez-Perez, Edith Pomarol-Clotet, Salvador Sarró, John Suckling, Edward T. Bullmore

NeuroImage, 2007

2006

Variable precision registration via wavelets: Optimal spatial scales for inter-subject registration of functional MRI.

John Suckling, Christopher J. Long, Christina Triantafyllou, Michael J. Brammer, Edward T. Bullmore

NeuroImage, 2006

2005

Fractional Gaussian noise, functional MRI and Alzheimer's disease.

Voichita Maxim, Levent Sendur, Jalal Fadili, John Suckling, Rebecca L. Gould, Robert J. Howard, Ed Bullmore

NeuroImage, 2005

2003

GABAergic inhibitory mechanisms for repetition-adaptivity in large-scale brain systems.

C. M. E. Stephenson, John Suckling, Sharon Dirckx, C. Ooi, P. J. McKenna, R. Bisbrown-Chippendale, R. W. Kerwin, John D. Pickard, Edward T. Bullmore

NeuroImage, 2003

2002

Effects of Verbal Working Memory Load on Corticocortical Connectivity Modeled by Path Analysis of Functional Magnetic Resonance Imaging Data.

Garry Honey, Cynthia H. Y. Fu, Jieun Kim, Michael J. Brammer, T. J. Croudace, John Suckling, E. M. Pich, Steven C. R. Williams, Edward T. Bullmore

NeuroImage, 2002

A Functional Magnetic Resonance Imaging Study of Overt Letter Verbal Fluency Using a Clustered Acquisition Sequence: Greater Anterior Cingulate Activation with Increased Task Demand.

Cynthia H. Y. Fu, Kevin Morgan, John Suckling, Steven C. R. Williams, Christopher Andrew, Goparlen N. Vythelingum, Philip K. McGuire

NeuroImage, 2002

1999

Global, Voxel and Cluster Tests, by Theory and Permutation, for a Difference Between Two Groups of Structural MR Images of the Brain.

Edward T. Bullmore, John Suckling, Stephan Overmeyer, Sophia Rabe-Hesketh, Eric Taylor, Michael J. Brammer

IEEE Trans. Medical Imaging, 1999