John Suckling

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 33

Top Topics

Functional Brain

Granger Causality

Statistical Inference

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Juan Manuel Górriz, Fermín Segovia, Javier Ramírez, Andrés Ortiz, John Suckling
Is K-fold cross validation the best model selection method for Machine Learning? CoRR (2024)
Juan Manuel Górriz, J. Ramirez, Fermín Segovia, Francisco Jesús Martínez-Murcia, Carmen Jiménez-Mesa, John Suckling
Statistical Agnostic Regression: a machine learning method to validate regression models. CoRR (2024)
Michail Mamalakis, Héloïse de Vareilles, Graham K. Murray, Pietro Lio, John Suckling
The Explanation Necessity for Healthcare AI. CoRR (2024)
Michail Mamalakis, Antonios Mamalakis, Ingrid Agartz, Lynn Egeland Mørch-Johnsen, Graham K. Murray, John Suckling, Pietro Lio
Solving the enigma: Deriving optimal explanations of deep networks. CoRR (2024)
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
Contrastive-Adversarial and Diffusion: Exploring pre-training and fine-tuning strategies for sulcal identification. CoRR (2024)
Carmen Jimenez-Mesa, Javier Ramírez, John Suckling, Jonathan Vöglein, Johannes Levin, Juan Manuel Górriz
A non-parametric statistical inference framework for Deep Learning in current neuroimaging. Inf. Fusion 91 (2023)
Bang-Sheng Wu, Yi-Jun Ge, Wei Zhang, Shi-Dong Chen, Shi-Tong Xiang, Ya-Ru Zhang, Ya-Nan Ou, Yu-Chao Jiang, Lan Tan, Wei Cheng, John Suckling, Jianfeng Feng, Jin-Tai Yu, Ying Mao
Genome-wide association study of cerebellar white matter microstructure and genetic overlap with common brain disorders. NeuroImage 269 (2023)
Michail Mamalakis, Héloïse de Vareilles, Atheer AI-Manea, Samantha C. Mitchell, Ingrid Arartz, Lynn Egeland Morch-Johnsen, Jane R. Garrison, Jon S. Simons, Pietro Lio, John Suckling, Graham K. Murray
A 3D explainability framework to uncover learning patterns and crucial sub-regions in variable sulci recognition. CoRR (2023)
Karmele López de Ipiña, Jon Iradi, Elsa Fernández, Pilar M. Calvo, Damien Sallé, Anujan Poologaindran, Ivan Villaverde, Paul Daelman, Emilio Sanchez, Catalina Requejo, John Suckling
HUMANISE: Human-Inspired Smart Management, towards a Healthy and Safe Industrial Collaborative Robotics. Sensors 23 (3) (2023)
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, J. J. Martinez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, A. Pereira, Pedro Pinacho Davidson, M. A. 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, W. Wang, Y. D. Zhang, H. Zhu, Z. Zhu, J. M. Ferrández-Vicente
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 100 (2023)
J. M. Górriz, Carmen Jimenez-Mesa, Fermín Segovia, Javier Ramírez, John Suckling
A Connection Between Pattern Classification by Machine Learning and Statistical Inference With the General Linear Model. IEEE J. Biomed. Health Informatics 26 (11) (2022)
J. M. Górriz, Rubén Martín-Clemente, Carlos García Puntonet, A. Ortiz, J. Ramirez, John Suckling
A hypothesis-driven method based on machine learning for neuroimaging data analysis. CoRR (2022)
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
Inferring the Individual Psychopathologic Deficits With Structural Connectivity in a Longitudinal Cohort of Schizophrenia. IEEE J. Biomed. Health Informatics 26 (6) (2022)
Juan Manuel Górriz, Rubén Martín-Clemente, Carlos García Puntonet, Andrés Ortiz, Javier Ramírez, John Suckling
A hypothesis-driven method based on machine learning for neuroimaging data analysis. Neurocomputing 510 (2022)
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
Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities. Inf. Fusion 66 (2021)
Matthew Leming, John Suckling
Deep learning for sex classification in resting-state and task functional brain networks from the UK Biobank. NeuroImage 241 (2021)
Carmen Jimenez-Mesa, Javier Ramírez, John Suckling, Jonathan Vöglein, Johannes Levin, Juan Manuel Górriz, Alzheimer's Disease Neuroimaging Initiative, Dominantly Inherited Alzheimer Network (DIAN)
Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability. CoRR (2021)
Matthew Leming, Juan Manuel Górriz, John Suckling
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks. CoRR (2020)
Matthew Leming, Simon Baron-Cohen, John Suckling
Single-participant structural connectivity matrices lead to greater accuracy in classification of participants than function in autism in MRI. CoRR (2020)
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
Granger causality-based information fusion applied to electrical measurements from power transformers. Inf. Fusion 57 (2020)
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
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications. Neurocomputing 410 (2020)
Matthew Leming, Juan Manuel Górriz, John Suckling
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks. Int. J. Neural Syst. 30 (7) (2020)
Juan Manuel Górriz, John Suckling
A connection between the pattern classification problem and the General Linear Model for statistical inference. CoRR (2020)
Matthew Leming, John Suckling
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. CoRR (2020)
Matthew Leming, Li Su, Shayanti Chattopadhyay, John Suckling
Normative pathways in the functional connectome. NeuroImage 184 (2019)
Matthew Leming, John Suckling
Deep Learning on Brain Images in Autism: What Do Large Samples Reveal of Its Complexity? IWINAC (1) (2019)
Juan Manuel Górriz, Javier Ramírez, MRC AIMS Consortium, John Suckling
On the computation of distribution-free performance bounds: Application to small sample sizes in neuroimaging. Pattern Recognit. 93 (2019)
Juan Manuel Górriz, Javier Ramírez, Fermín Segovia, Francisco Jesús Martínez-Murcia, Meng-Chuan Lai, Michael V. Lombardo, Simon Baron-Cohen, John Suckling
A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms. Int. J. Neural Syst. 29 (7) (2019)
Juan Manuel Górriz, Javier Ramírez, John Suckling, Ignacio Álvarez Illán, Andrés Ortiz García, Francisco Jesús Martínez-Murcia, Fermín Segovia, Diego Salas-Gonzalez, Shuihua Wang
Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM. IEEE Access 5 (2017)
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
A semi-supervised learning approach for model selection based on class-hypothesis testing. Expert Syst. Appl. 90 (2017)
Martyn McFarquhar, Shane McKie, Richard Emsley, John Suckling, Rebecca Elliott, Stephen Ross Williams
Multivariate and repeated measures (MRM): A new toolbox for dependent and multimodal group-level neuroimaging data. NeuroImage 132 (2016)
Martyn McFarquhar, Shane McKie, Richard Emsley, John Suckling, Rebecca Elliott, Stephen Ross Williams
Corrigendum to "Multivariate and repeated measures (MRM): A new toolbox for dependent and multimodal group-level neuroimaging data" [NeuroImage 132 (2016) 373-389]. NeuroImage 137 (2016)
John Suckling, Tiago Simas, Shayanti Chattopadhyay, Roger Tait, Li Su, Guy Williams, James B. Rowe, John T. O'Brien
A Winding Road: Alzheimer's Disease Increases Circuitous Functional Connectivity Pathways. Frontiers Comput. Neurosci. 9 (2015)
Fermín Segovia, Rosemary Holt, Michael D. Spencer, Juan Manuel Górriz, Javier Ramírez, Carlos García Puntonet, Christophe Phillips, Lindsay Chura, Simon Baron-Cohen, John Suckling
Identifying endophenotypes of autism: a multivariate approach. Frontiers Comput. Neurosci. 8 (2014)
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
Structural neuroimaging correlates of allelic variation of the BDNF val66met polymorphism. NeuroImage 90 (2014)
Ameera X. Patel, Prantik Kundu, Mikail Rubinov, P. Simon Jones, Petra E. Vértes, Karen D. Ersche, John Suckling, Edward T. Bullmore
A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series. NeuroImage 95 (2014)
Nia Goulden, Rebecca Elliott, John Suckling, Stephen Ross Williams, John Francis William Deakin, Shane McKie
Sample Size Estimation for Comparing Parameters Using Dynamic Causal Modeling. Brain Connect. 2 (2) (2012)
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
Neuregulin-1 genotype is associated with structural differences in the normal human brain. NeuroImage 59 (3) (2012)
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
Individual differences in brain structure underpin empathizing-systemizing cognitive styles in male adults. NeuroImage 61 (4) (2012)
M. J. Lewis, A. L. Short, John Suckling
Multifractal characterisation of electrocardiographic RR and QT time-series before and after progressive exercise. Comput. Methods Programs Biomed. 108 (1) (2012)
Lisa Ronan, Natalie L. Voets, Morgan G. Hough, Clare E. Mackay, Neil Roberts, John Suckling, Edward T. Bullmore, Anthony James, Paul C. Fletcher
Consistency and interpretation of changes in millimeter-scale cortical intrinsic curvature across three independent datasets in schizophrenia. NeuroImage 63 (1) (2012)
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
Assessment of the impact of the scanner-related factors on brain morphometry analysis with Brainvisa. BMC Medical Imaging 11 (2011)
Lisa Ronan, Rudolph Pienaar, Guy Williams, Edward T. Bullmore, Tim J. Crow, Neil Roberts, Peter B. Jones, John Suckling, Paul C. Fletcher
Intrinsic Curvature: a Marker of Millimeter-Scale Tangential cortico-Cortical Connectivity? Int. J. Neural Syst. 21 (5) (2011)
Michael V. Lombardo, Bhismadev Chakrabarti, Edward T. Bullmore, Sally J. Wheelwright, Susan A. Sadek, John Suckling, Simon Baron-Cohen
Shared Neural Circuits for Mentalizing about the Self and Others. J. Cogn. Neurosci. 22 (7) (2010)
Nia Goulden, Shane McKie, John Suckling, Stephen Ross Williams, Ian Muir Anderson, John Francis William Deakin, Rebecca Elliott
A comparison of permutation and parametric testing for between group effective connectivity differences using DCM. NeuroImage 50 (2) (2010)
Ed Bullmore, Anna Barnes, Danielle S. Bassett, Alex Fornito, Manfred G. Kitzbichler, David Meunier, John Suckling
Generic aspects of complexity in brain imaging data and other biological systems. NeuroImage 47 (3) (2009)
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
CamBAfx: workflow design, implementation and application for neuroimaging. Frontiers Neuroinformatics 3 (2009)
Anna Barnes, Garry Honey, Alle Meije Wink, Edward T. Bullmore, John Suckling
Modulation of the fractal properties of low frequency endogenous brain oscillations in functional MRI by a working memory task. IJCNN (2008)
Sean C. L. Deoni, Steven C. R. Williams, Peter Jezzard, John Suckling, Declan G. M. Murphy, Derek K. Jones
imaging at 1.5 T. NeuroImage 40 (2) (2008)
Levent Sendur, John Suckling, Brandon J. Whitcher, Ed Bullmore
Resampling methods for improved wavelet-based multiple hypothesis testing of parametric maps in functional MRI. NeuroImage 37 (4) (2007)
Raymond Salvador, Angel Martinez-Perez, Edith Pomarol-Clotet, Salvador Sarró, John Suckling, Edward T. Bullmore
Frequency based mutual information measures between clusters of brain regions in functional magnetic resonance imaging. NeuroImage 35 (1) (2007)
John Suckling, C. Long, Christina Triantafyllou, Michael J. Brammer, Edward T. Bullmore
Variable precision registration via wavelets: Optimal spatial scales for inter-subject registration of functional MRI. NeuroImage 31 (1) (2006)
Voichita Maxim, Levent Sendur, Jalal Fadili, John Suckling, Rebecca L. Gould, Robert J. Howard, Ed Bullmore
Fractional Gaussian noise, functional MRI and Alzheimer's disease. NeuroImage 25 (1) (2005)
C. M. E. Stephenson, John Suckling, Sharon Dirckx, C. Ooi, P. J. McKenna, R. Bisbrown-Chippendale, R. W. Kerwin, J. D. Pickard, Edward T. Bullmore
GABAergic inhibitory mechanisms for repetition-adaptivity in large-scale brain systems. NeuroImage 19 (4) (2003)
Cynthia H. Y. Fu, Kevin Morgan, John Suckling, Steven C. R. Williams, Christopher Andrew, Goparlen N. Vythelingum, Philip K. McGuire
A Functional Magnetic Resonance Imaging Study of Overt Letter Verbal Fluency Using a Clustered Acquisition Sequence: Greater Anterior Cingulate Activation with Increased Task Demand. NeuroImage 17 (2) (2002)
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
Effects of Verbal Working Memory Load on Corticocortical Connectivity Modeled by Path Analysis of Functional Magnetic Resonance Imaging Data. NeuroImage 17 (2) (2002)
Edward T. Bullmore, John Suckling, Stephan Overmeyer, Sophia Rabe-Hesketh, Eric Taylor, Michael J. Brammer
Global, Voxel and Cluster Tests, by Theory and Permutation, for a Difference Between Two Groups of Structural MR Images of the Brain. IEEE Trans. Medical Imaging 18 (18) (1999)