Machine Learning for Medical Imaging Reading Group

This is an informal group considering applications of machine learning approaches to analyze neuroimaging data (e.g. fMRI, structural MRI, MEG, EEG, etc). Recently pattern recognition approaches have been used to classify patterns of neural activity elicited by sensory or cognitive processes, i.e., as "mind-reading" devices that can predict an individual's brain state. In the clinical context these approaches have been also applied to classify groups of individuals based on brain structural MRI or functional MRI data. This group will discuss recent papers published in this area and papers describing methods with potential applications to neuroimaging.

Usual time: Wednesday, 16:00 - 17:00
Location (unless otherwise noted):
iCalendar URL: www.csml.ac.uk/ics/series/6

Upcoming Events

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Previous Events

DateDescription
Thu, 21 Apr 2016 Walter Pinaya (KCL (IOP)): Introduction to Deep Learning and some Neuroimaging Applications
Thu, 14 Apr 2016 Alex Mendelson (UCL): Selection bias in the ADNI classification experiment
Thu, 10 Mar 2016 Andre Altmann (CMIC, UCL): Decoding wakefulness levels from typical fMRI resting-state data reveals reliable drifts between wak
Thu, 18 Feb 2016 Marco Lorenzi (CMIC, UCL): Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenoty
Wed, 27 Jan 2016 Maria Joao Rosa (UCL): A positive-negative mode of population covariation links brain connectivity,demographics & behavior
Wed, 16 Dec 2015 Anatomical connectivity patterns predict face selectivity in the fusiform gyrus, Saygin et al
Wed, 07 Oct 2015 Anil Rao (UCL): On the interpretation of weight vectors of linear models in multivariate neuroimaging, Haufe et al
Wed, 16 Sep 2015 Orla Doyle (King's College London): Multivariate decoding of brain images using ordinal regression.
Thu, 20 Mar 2014 Dimitrios Athanasakis (UCL): Machine Learning for Neuroimaging Reading Group
Thu, 20 Feb 2014 João Matos Monteiro (UCL): A CCA + ICA based model for multi-task brain imaging data fusion and its application to schizophreni
Thu, 31 Oct 2013 Lorna Harper (UCL): Prediction of Alzheimer's disease in subjects with mild cognitive impairment
Wed, 25 Sep 2013 Jonathan Young (UCL): BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer’s Disease
Thu, 19 Sep 2013 Ged Ridgway (UCL): A Common, High-Dimensional Model of the Representational Space in Human Ventral Temporal Cortex
Wed, 21 Aug 2013 Jessica Schrouff (University of Liege / UCL): SimpleMKL
Thu, 08 Aug 2013 Maria Joao Rosa (UCL): Predictive Dynamics of Human Pain Perception
Thu, 01 Aug 2013 Joao Monteiro (UCL): Dementia induces correlated reductions in white matter integrity and cortical thickness
Wed, 24 Jul 2013 Orlando Fernandes (UCL): Decoding mental states from brain activity in humans
Thu, 15 Nov 2012 Alexander Mendelson (CMIC, UCL): Cross validation and error estimation
Thu, 08 Nov 2012 Liana Portugal (Computer Science Dep., UCL): Decoding Continuous Variables from Neuroimaging Data: Basic and Clinical Applications
Thu, 31 May 2012 Luca Baldassarre (UCL): Structured Sparsity Models for Brain Decoding from fMRI data
Wed, 23 May 2012 Andre Marquand (Department of Neuroimaging, KCL): Model sparsity and brain pattern interpretation of classification models in neuroimaging
Wed, 04 Apr 2012 Tom Diethe (British Medical Association): Investigating the temporal dynamics of long-term memory representation retrieval
Wed, 28 Mar 2012 Ged Ridgway (Wellcome Trust Centre for Neuroimaging): t-Distributed Stochastic Neighbor Embedding
Wed, 21 Mar 2012 Manuel Jorge Cardoso (CMIC, UCL): Classifier fusion with STEPS
Wed, 14 Mar 2012 Mireille Nieuwenhuis (Neuroimaging Research Group, University Medical Center Utrecht): Classification of schizophrenia using feature-based morphometry
Wed, 26 Oct 2011 Carlton Chu (Section on Functional Imaging Methods, Laboratory of Brain and Cognition, NIH, USA): Does feature selection improves classification accuracy (using ADNI dataset as example)?
Wed, 12 Oct 2011 Carlton Chu (Section on Functional Imaging Methods, Laboratory of Brain and Cognition, NIH, USA): Utilizing temporal information in fMRI decoding: Classifier using kernel regression methods
Wed, 05 Oct 2011 Orla Doyle (Department of Neuroimaging, KCL): Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior
Wed, 28 Sep 2011 Jonas Richiardi (EPFL, Switzerland): Pattern Recognition with Brain Connectivity Graphs
Wed, 21 Sep 2011 John Ashburner (Wellcome Trust Centre for Neuroimaging): Brainstorming meeting
Wed, 07 Sep 2011 Janaina Mourao-Miranda (Computer Science Department, UCL): Support Vector Clustering
Wed, 24 Aug 2011 Jane Rondina (Computer Science Department, UCL): Robust biclustering by sparse singular value decomposition incorporating stability selection
Wed, 17 Aug 2011 Jonathan Young (CMIC, UCL): Hierarchical Anatomical Brain Networks for MCI Prediction: Revisiting Volumetric Measures
Wed, 03 Aug 2011 Andre Marquand (Department of Neuroimaging, KCL): Neural Decoding with Hierarchical Generative Models
Wed, 27 Jul 2011 Vanessa Rego (Department of Neuroimaging, KCL): Semi-supervised pattern classification of medical images: Application to mild cognitive impairment (
Wed, 20 Jul 2011 Maria Joao Rosa (Computer Science Department, UCL): Generative embedding for model-based classification of FMRI data
Wed, 13 Jul 2011 Katerina Pavlou (Computer Science Department, UCL): Clustering Based on Gaussian Processes
Wed, 22 Jun 2011 Jonathan Young (CMIC, UCL): Maninfold Learning & Nonlinear Dimensionality Reduction
Wed, 15 Jun 2011 Maria Joao Rosa (Computer Science Department, UCL): Information mapping with pattern classifiers: A comparative study
Wed, 08 Jun 2011 Janaina Mourao-Miranda (Computer Science Department, UCL): Improving Gaussian Process Classification with Outlier Detection, with Applications in Image Classif
Wed, 01 Jun 2011 Andre Marquand (Department of Neuroimaging, KCL): Gaussian Processes for Ordinal Regression
Wed, 25 May 2011 Jane Rondina (Computer Science Department, UCL): Detecting stable distributed patterns of brain activation using Gini contrast
Wed, 18 May 2011 Leticia Oliveira (Department of Neuroimaging, KCL): Decoding of coherent but not incoherent motion signals in early dorsal visual cortex
Wed, 11 May 2011 Maria Joao Rosa (Computer Science Department, UCL): Exploiting Generative Models in Discriminative Classifiers
Wed, 04 May 2011 Jonathan Young (CMIC, UCL): Multimodal classification of Alzheimer's disease and mild cognitive impairment
Wed, 20 Apr 2011 Janaina Mourao-Miranda (Computer Science Department, UCL): Random Subspace Ensembles for fMRI Classification
Wed, 13 Apr 2011 Andre Marquand (Department of Neuroimaging, KCL): Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI
Wed, 06 Apr 2011 Katerina Pavlou (Computer Science Department, UCL): Support vector machines for temporal classification of block design fMRI data
Wed, 30 Mar 2011 John Ashburner (Wellcome Trust Centre for Neuroimaging): Multivariate models of inter-subject anatomical variability
Wed, 23 Mar 2011 Tom Diethe (Computer Science Department, UCL): Total variation regularization for fMRI-based prediction of behaviour
Wed, 09 Mar 2011 Maurizio Filippone (Computer Science Department, UCL): Bayesian decoding of brain images
Wed, 02 Mar 2011 Jane Rondina (Computer Science Department, UCL): Machine Learning Classifiers and fMRI: a tutorial
Wed, 09 Feb 2011 Janaina Mourao-Miranda (Computer Science Department, UCL): Introduction