News

• MLAC'11 paper » 
Smartphones get emotional: mind reading images and reconstructing the neural sources. Accepted at MLAC 2011.

• ACII'11 demo paper » 
A smartphone interface for a wireless EEG headset with real-time 3D reconstructioni Accepted at ACII 2011.

• In Danish Press - videnskab.dk » 
"Where does happiness reside?". Article provided by DTU.

• Paper in Journal of Signal Processing Systems » 
Simultaneous EEG Source and Forward Model Reconstruction (SOFOMORE) using a Hier-archical Bayesian Approach.

• MICCAI 2010 » 
Attending MICCAI 2010 - workshop Machine Learning in Medical Imaging, Beijing 2010.

Links

On this page a list of my collaborators and some nice neuro and machine learning tools can be found.

Collaborators

Lars Kai Hansen (DTU Informatics)

Ole Winther (DTU Informatics)

Morten Mørup (DTU Informatics)

Arkadiusz Stopczynski (DTU Informatics)

Jakob Eg Larsen (DTU Informatics)

Michael Kai Petersen (DTU Informatics)

Mads Dyrholm (University of Copenhagen - CVC)

Damian Herz (DRCMR - Copenhagen University Hospital Hvidovre)

Hagai T. Attias (Convex Imaging)

Srikantan S. Nagarajan (UCSF - Biomagnetic Imaging Lab)

David Wipf (Microsoft Research Asia, )

Julia P. Owen (UCSF - Biomagnetic Imaging Lab)

Sid Kouider (Ecole Normale Supèrieure, Paris)

Leonardo Barbosa (Ecole Normale Supèrieure, Paris)

Neuro Tools

BrainStorm - EEG and MEG

BrainSuite - sMRI

BrainVisa - sMRI

EEGLAB - EEG

ERPWAVELAB (uses EEGLAB) - EEG

FieldTrip - EEG and MEG

FreeSurfer - sMRI and fMRI

FSL - sMRI, fMRI, and DTI

Neuroclub (a EEG pipeline which makes use of EEGLAB and SPM8) - EEG, fMRI

Neuronic (qEEGT, iMagic, BRainbow, BET viewer) - EEG, NIRs

NUTMEG - EEG and MEG

Statistical Parametric Mapping (SPM) - fMRI, PET, SPECT, EEG, and MEG

Machine Learning Tools

DTU ICA-toolbox