Machine learning in brain imaging
Principal investigator: Jussi Tohka
AI Virtanen Institute for Molecular Sciences
University of Eastern Finland, Finland
Adjunct professor (docent)
Department of Signal Processing, Tampere
University of Technology, Finland [CV]
[My other homepage] that is updated more regularly. In future, this page is not updated.
emails: jussi dot tohka at uef dot fi
21st Nov 2016: This www-page is not up to date. Please visit [My other homepage] instead.
22nd Apr 2016: Juha Pajula defended successfully his PhD thesis "Inter-Subject Correlation Analysis for Functional Magnetic Imaging: Properties and Validation"
16th Feb 2015: As of 16 Feb 2015 I am with Universidad Carlos III de Madrid as CONEX professor/distinguished researcher.
1st Feb 2015: We are editing a special issue on Validation and Simulation in Brain Image Analysis. It is to be published in Computational Intelligence and Neuroscience during the fall 2015. The deadline for papers is July 10. More info can be found here .
1st Dec 2014: We (Juha Pajula, Jukka-Pekka Kauppi and myself) won the first prize in the real-life cognition contest
1st Dec 2014: A paper published: Difference of Gaussians Revolved Along Elliptical Paths for Ultrasound Fetal Head Segmentation. Computerized Medical Imaging and Graphics , 38(8): 774 - 784, 2014 .
1st Dec 2014: A paper published: Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects. NeuroImage , 104: 398 - 412, 2015.
24th July 2014 : Paper about effects of spatial smoothing on Inter subject correlation based fMRI analysis out, see Preprint
13th July 2014: Paper Published: An Automatic Framework for Quantitative Validation of Voxel Based Morphometry Measures of Anatomical Brain Asymmetry. NeuroImage , 100: 444 - 459, 2014 . See also the brainmorph webpage !
25th April 2014: Antonietta Pepe successfully defended her PhD thesis "Statistical shape analysis in neuroimaging: Methods, challenges, validation"
14th April 2014: Paper "Semi-supervised learning in MCI-to-AD conversion prediction - When is unlabeled data useful?" accepted to Pattern recognition in Neuroimaging 2014, see the paper here
31st March 2014: Paper "Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge" appeared in IEEE Transactions on Medical Imaging 33(4):797 - 813, 2014