Jussi Tohka

Summary

Affiliation: Tampere University of Technology
Country: Finland

Publications

  1. ncbi request reprint Shape analysis of human brain interhemispheric fissure bending in MRI
    Lu Zhao
    Department of Signal Processing, Tampere University of Technology, FIN 33101, Tampere, Finland
    Med Image Comput Comput Assist Interv 12:216-23. 2009
  2. doi request reprint The impact of sampling density upon cortical network analysis: regions or points
    Jussi Tohka
    Department of Signal Processing, Tampere University of Technology, P O Box 553, FIN 33101, Finland
    Magn Reson Imaging 30:978-92. 2012
  3. ncbi request reprint Deconvolution-based partial volume correction in Raclopride-PET and Monte Carlo comparison to MR-based method
    Jussi Tohka
    Institute of Signal Processing, Tampere University of Technology, Tampere, Finland
    Neuroimage 39:1570-84. 2008
  4. ncbi request reprint Fast and robust parameter estimation for statistical partial volume models in brain MRI
    Jussi Tohka
    Digital Media Institute Signal Processing, Tampere University of Technology, FIN 33101, Finland
    Neuroimage 23:84-97. 2004
  5. pmc Genetic algorithms for finite mixture model based voxel classification in neuroimaging
    Jussi Tohka
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, University of California, Los Angeles, CA 90095, USA
    IEEE Trans Med Imaging 26:696-711. 2007
  6. pmc Brain MRI tissue classification based on local Markov random fields
    Jussi Tohka
    Department of Signal Processing, Tampere University of Technology, P O Box 553, FIN 33101, Finland
    Magn Reson Imaging 28:557-73. 2010
  7. pmc Automatic independent component labeling for artifact removal in fMRI
    Jussi Tohka
    Institute of Signal Processing, Tampere University of Technology, Tampere, Finland
    Neuroimage 39:1227-45. 2008
  8. doi request reprint Automatic cerebral and cerebellar hemisphere segmentation in 3D MRI: adaptive disconnection algorithm
    Lu Zhao
    Department of Signal Processing, Tampere University of Technology, P O Box 553, FIN 33101 Tampere, Finland
    Med Image Anal 14:360-72. 2010
  9. doi request reprint Automatic statistical shape analysis of cerebral asymmetry in 3D T1-weighted magnetic resonance images at vertex-level: application to neuroleptic-naïve schizophrenia
    Antonietta Pepe
    Department of Signal Processing, Tampere University of Technology, PO Box 553, FIN 33101 Tampere, Finland
    Magn Reson Imaging 31:676-87. 2013
  10. ncbi request reprint Evaluation of the automatic three-dimensional delineation of caudate and putamen for PET receptor occupancy studies
    Esa Wallius
    Institute of Signal Processing, Tampere University of Technology, Tampere, Finland
    Nucl Med Commun 29:53-65. 2008

Collaborators

Detail Information

Publications18

  1. ncbi request reprint Shape analysis of human brain interhemispheric fissure bending in MRI
    Lu Zhao
    Department of Signal Processing, Tampere University of Technology, FIN 33101, Tampere, Finland
    Med Image Comput Comput Assist Interv 12:216-23. 2009
    ..These results show that our method is applicable for studying abnormal Yakovlevian torque related to mental diseases...
  2. doi request reprint The impact of sampling density upon cortical network analysis: regions or points
    Jussi Tohka
    Department of Signal Processing, Tampere University of Technology, P O Box 553, FIN 33101, Finland
    Magn Reson Imaging 30:978-92. 2012
    ..Finally, a similar methodology as the one used here could be used to study effects of the sampling density in other brain-imaging-based networks, for example, in resting-state functional MRI...
  3. ncbi request reprint Deconvolution-based partial volume correction in Raclopride-PET and Monte Carlo comparison to MR-based method
    Jussi Tohka
    Institute of Signal Processing, Tampere University of Technology, Tampere, Finland
    Neuroimage 39:1570-84. 2008
    ..Moreover, PV-corrected parametric images can be readily computed based on deconvolved dynamic images...
  4. ncbi request reprint Fast and robust parameter estimation for statistical partial volume models in brain MRI
    Jussi Tohka
    Digital Media Institute Signal Processing, Tampere University of Technology, FIN 33101, Finland
    Neuroimage 23:84-97. 2004
    ....
  5. pmc Genetic algorithms for finite mixture model based voxel classification in neuroimaging
    Jussi Tohka
    Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, University of California, Los Angeles, CA 90095, USA
    IEEE Trans Med Imaging 26:696-711. 2007
    ..The tissue classification results by our method are shown to be consistently more reliable and accurate than with the competing parameter estimation methods...
  6. pmc Brain MRI tissue classification based on local Markov random fields
    Jussi Tohka
    Department of Signal Processing, Tampere University of Technology, P O Box 553, FIN 33101, Finland
    Magn Reson Imaging 28:557-73. 2010
    ..The method also offers better protection against intensity non-uniformity artifact than the corresponding method based on a global (whole image) modeling scheme...
  7. pmc Automatic independent component labeling for artifact removal in fMRI
    Jussi Tohka
    Institute of Signal Processing, Tampere University of Technology, Tampere, Finland
    Neuroimage 39:1227-45. 2008
    ..We conclude that automatic ICA-based denoising offers a potentially useful approach to improve the quality of fMRI data and consequently increase the accuracy of the statistical analysis of these data...
  8. doi request reprint Automatic cerebral and cerebellar hemisphere segmentation in 3D MRI: adaptive disconnection algorithm
    Lu Zhao
    Department of Signal Processing, Tampere University of Technology, P O Box 553, FIN 33101 Tampere, Finland
    Med Image Anal 14:360-72. 2010
    ..A preliminary cerebral volumetric asymmetry analysis based on these images demonstrated that the Adaptive Disconnection method is applicable to study abnormal brain asymmetry in schizophrenia...
  9. doi request reprint Automatic statistical shape analysis of cerebral asymmetry in 3D T1-weighted magnetic resonance images at vertex-level: application to neuroleptic-naïve schizophrenia
    Antonietta Pepe
    Department of Signal Processing, Tampere University of Technology, PO Box 553, FIN 33101 Tampere, Finland
    Magn Reson Imaging 31:676-87. 2013
    ..The findings of this study, although need further testing in larger samples, partially replicate previous studies supporting the hypothesis of schizophrenia as a neurodevelopmental disorder...
  10. ncbi request reprint Evaluation of the automatic three-dimensional delineation of caudate and putamen for PET receptor occupancy studies
    Esa Wallius
    Institute of Signal Processing, Tampere University of Technology, Tampere, Finland
    Nucl Med Commun 29:53-65. 2008
    ..The aim of this study was to evaluate, and confirm the feasibility of two automatic, paired, three-dimensional delineation methods of striatal structures (caudate and putamen) for the purposes of PET receptor occupancy studies...
  11. ncbi request reprint Unsupervised segmentation of cardiac PET transmission images for automatic heart volume extraction
    Anu Juslin
    Institute of Signal Processing, Tampere University of Technology, Tampere, Finland
    Conf Proc IEEE Eng Med Biol Soc 1:1077-80. 2006
    ..The method was tested with 25 patient images. The MRF segmentation results were of good quality in all cases and we were able to extract the heart volume from all the images...
  12. doi request reprint Automatic compartmental decomposition for 3D MR images of human brain
    Lu Zhao
    Department of Signal Processing, Tampere University of Technology, Finland
    Conf Proc IEEE Eng Med Biol Soc 2008:3888-91. 2008
    ..It was demonstrated to be accurate and robust, and the mean Dice coefficients for cerebrum, cerebellum and brainstem were 0.99, 0.98 and 0.82, respectively...
  13. pmc Inter-subject correlation in fMRI: method validation against stimulus-model based analysis
    Juha Pajula
    Department of Signal Processing, Tampere University of Technology, Tampere, Finland
    PLoS ONE 7:e41196. 2012
    ..The agreement of the results is highly interesting, because ISC is applicable in situations where GLM is not suitable, for example, when analyzing data from a naturalistic stimuli experiment...
  14. doi request reprint Robust MRI brain tissue parameter estimation by multistage outlier rejection
    José V Manjón
    IBIME Group, ITACA Institute, Polytechnic University of Valencia, Valencia, Spain
    Magn Reson Med 59:866-73. 2008
    ..The proposed method has been evaluated using both synthetic and real MR data and compared with state-of-the-art methods showing the best results in the comparative...
  15. ncbi request reprint Automatic extraction of brain surface and mid-sagittal plane from PET images applying deformable models
    Jouni Mykkänen
    Department of Computer Sciences, University of Tampere, Kanslerinrinne 1, Pinni B1039, FIN 33014, Finland
    Comput Methods Programs Biomed 79:1-17. 2005
    ..The proposed segmentation methods provide a promising direction for automatic processing and analysis of PET brain images...
  16. ncbi request reprint Robust estimation of bioaffinity assay fluorescence signals
    Dimitris Glotsos
    Medical Image Processing and Analysis Unit, Medical Physics Laboratory, University of Patras, Patras, Greece
    IEEE Trans Inf Technol Biomed 10:733-9. 2006
    ....
  17. ncbi request reprint Automated diagnosis of brain tumours astrocytomas using probabilistic neural network clustering and support vector machines
    Dimitris Glotsos
    Department of Medical Physics, University of Patras, Rio Patras 26500, Greece
    Int J Neural Syst 15:1-11. 2005
    ..5%. Low, intermediate, and high-grade tumours were identified with 95%, 88.3%, and 91% accuracies respectively. The proposed algorithm could be used as a second opinion tool for the histopathologists...
  18. ncbi request reprint Delineation of brain structures from positron emission tomography images with deformable models
    Jouni Mykkänen
    Department of Computer and Information Sciences, University of Tampere, Finland
    Stud Health Technol Inform 95:33-8. 2003
    ..The proposed method provides new opportunities for automatic and repeatable structure extraction applicable for regional quantification of the tracer uptake...