John Suckling

Orcid: 0000-0002-5098-1527

According to our database1, John Suckling authored at least 55 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
The Explanation Necessity for Healthcare AI.
CoRR, 2024

Contrastive-Adversarial and Diffusion: Exploring pre-training and fine-tuning strategies for sulcal identification.
CoRR, 2024

Solving the enigma: Deriving optimal explanations of deep networks.
CoRR, 2024

Statistical Agnostic Regression: a machine learning method to validate regression models.
CoRR, 2024

Is K-fold cross validation the best model selection method for Machine Learning?
CoRR, 2024

2023
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Inf. Fusion, December, 2023

Genome-wide association study of cerebellar white matter microstructure and genetic overlap with common brain disorders.
NeuroImage, April, 2023

HUMANISE: Human-Inspired Smart Management, towards a Healthy and Safe Industrial Collaborative Robotics.
Sensors, February, 2023

A non-parametric statistical inference framework for Deep Learning in current neuroimaging.
Inf. Fusion, 2023

A 3D explainability framework to uncover learning patterns and crucial sub-regions in variable sulci recognition.
CoRR, 2023

2022
Inferring the Individual Psychopathologic Deficits With Structural Connectivity in a Longitudinal Cohort of Schizophrenia.
IEEE J. Biomed. Health Informatics, 2022

A Connection Between Pattern Classification by Machine Learning and Statistical Inference With the General Linear Model.
IEEE J. Biomed. Health Informatics, 2022

A hypothesis-driven method based on machine learning for neuroimaging data analysis.
Neurocomputing, 2022

2021
Deep learning for sex classification in resting-state and task functional brain networks from the UK Biobank.
NeuroImage, 2021

Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities.
Inf. Fusion, 2021

Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability.
CoRR, 2021

2020
Granger causality-based information fusion applied to electrical measurements from power transformers.
Inf. Fusion, 2020

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications.
Neurocomputing, 2020

Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks.
Int. J. Neural Syst., 2020

A connection between the pattern classification problem and the General Linear Model for statistical inference.
CoRR, 2020

Single-participant structural connectivity matrices lead to greater accuracy in classification of participants than function in autism in MRI.
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.
CoRR, 2020

2019
On the computation of distribution-free performance bounds: Application to small sample sizes in neuroimaging.
Pattern Recognit., 2019

Normative pathways in the functional connectome.
NeuroImage, 2019

A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms.
Int. J. Neural Syst., 2019

Deep Learning on Brain Images in Autism: What Do Large Samples Reveal of Its Complexity?
Proceedings of the Understanding the Brain Function and Emotions, 2019

2017
A semi-supervised learning approach for model selection based on class-hypothesis testing.
Expert Syst. Appl., 2017

Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM.
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].
NeuroImage, 2016

Multivariate and repeated measures (MRM): A new toolbox for dependent and multimodal group-level neuroimaging data.
NeuroImage, 2016

2015
A Winding Road: Alzheimer's Disease Increases Circuitous Functional Connectivity Pathways.
Frontiers Comput. Neurosci., 2015

2014
A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series.
NeuroImage, 2014

Structural neuroimaging correlates of allelic variation of the BDNF val66met polymorphism.
NeuroImage, 2014

Identifying endophenotypes of autism: a multivariate approach.
Frontiers Comput. Neurosci., 2014

2012
Consistency and interpretation of changes in millimeter-scale cortical intrinsic curvature across three independent datasets in schizophrenia.
NeuroImage, 2012

Individual differences in brain structure underpin empathizing-systemizing cognitive styles in male adults.
NeuroImage, 2012

Neuregulin-1 genotype is associated with structural differences in the normal human brain.
NeuroImage, 2012

Multifractal characterisation of electrocardiographic RR and QT time-series before and after progressive exercise.
Comput. Methods Programs Biomed., 2012

Sample Size Estimation for Comparing Parameters Using Dynamic Causal Modeling.
Brain Connect., 2012

2011
Intrinsic Curvature: a Marker of Millimeter-Scale Tangential cortico-Cortical Connectivity?
Int. J. Neural Syst., 2011

Assessment of the impact of the scanner-related factors on brain morphometry analysis with Brainvisa.
BMC Medical Imaging, 2011

2010
A comparison of permutation and parametric testing for between group effective connectivity differences using DCM.
NeuroImage, 2010

Shared Neural Circuits for Mentalizing about the Self and Others.
J. Cogn. Neurosci., 2010

2009
Generic aspects of complexity in brain imaging data and other biological systems.
NeuroImage, 2009

CamBAfx: workflow design, implementation and application for neuroimaging.
Frontiers Neuroinformatics, 2009

2008
Standardized structural magnetic resonance imaging in multicentre studies using quantitative T<sub>1</sub> and T<sub>2</sub> imaging at 1.5 T.
NeuroImage, 2008

Modulation of the fractal properties of low frequency endogenous brain oscillations in functional MRI by a working memory task.
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.
NeuroImage, 2007

Frequency based mutual information measures between clusters of brain regions in functional magnetic resonance imaging.
NeuroImage, 2007

2006
Variable precision registration via wavelets: Optimal spatial scales for inter-subject registration of functional MRI.
NeuroImage, 2006

2005
Fractional Gaussian noise, functional MRI and Alzheimer's disease.
NeuroImage, 2005

2003
GABAergic inhibitory mechanisms for repetition-adaptivity in large-scale brain systems.
NeuroImage, 2003

2002
Effects of Verbal Working Memory Load on Corticocortical Connectivity Modeled by Path Analysis of Functional Magnetic Resonance Imaging Data.
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.
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.
IEEE Trans. Medical Imaging, 1999


  Loading...