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
No events found.
Previous Events
| Date | Description |
|---|
| 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 |
