متابعة
Jussi Tohka
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects‏
E Moradi, A Pepe, C Gaser, H Huttunen, J Tohka, ...‏
Neuroimage 104, 398-412, 2015‏
7792015
Fast and robust parameter estimation for statistical partial volume models in brain MRI‏
J Tohka, A Zijdenbos, A Evans‏
Neuroimage 23 (1), 84-97, 2004‏
7772004
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge‏
EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ...‏
NeuroImage 111, 562-579, 2015‏
3922015
Automatic independent component labeling for artifact removal in fMRI‏
J Tohka, K Foerde, AR Aron, SM Tom, AW Toga, RA Poldrack‏
Neuroimage 39 (3), 1227-1245, 2008‏
2782008
Inter-subject correlation of brain hemodynamic responses during watching a movie: localization in space and frequency‏
JP Kauppi, IP Jääskeläinen, M Sams, J Tohka‏
Frontiers in neuroinformatics 4, 669, 2010‏
2492010
Rey's Auditory Verbal Learning Test scores can be predicted from whole brain MRI in Alzheimer's disease‏
E Moradi, I Hallikainen, T Hänninen, J Tohka, ...‏
NeuroImage: Clinical 13, 415-427, 2017‏
1982017
Evaluation and comparison of current fetal ultrasound image segmentation methods for biometric measurements: a grand challenge‏
S Rueda, S Fathima, CL Knight, M Yaqub, AT Papageorghiou, ...‏
IEEE Transactions on medical imaging 33 (4), 797-813, 2013‏
1882013
Deconvolution-based partial volume correction in Raclopride-PET and Monte Carlo comparison to MR-based method‏
J Tohka, A Reilhac‏
Neuroimage 39 (4), 1570-1584, 2008‏
1832008
Genetic algorithms for finite mixture model based voxel classification in neuroimaging‏
J Tohka, E Krestyannikov, ID Dinov, AMK Graham, DW Shattuck, ...‏
IEEE transactions on medical imaging 26 (5), 696-711, 2007‏
1412007
Transfer learning in magnetic resonance brain imaging: A systematic review‏
JM Valverde, V Imani, A Abdollahzadeh, R De Feo, M Prakash, R Ciszek, ...‏
Journal of imaging 7 (4), 66, 2021‏
1232021
Evaluation of machine learning algorithms for health and wellness applications: A tutorial‏
J Tohka, M Van Gils‏
Computers in Biology and Medicine 132, 104324, 2021‏
1222021
Inter-subject correlation in fMRI: method validation against stimulus-model based analysis‏
J Pajula, JP Kauppi, J Tohka‏
Public Library of Science 7 (8), e41196, 2012‏
1072012
PET-SORTEO: validation and development of database of simulated PET volumes‏
A Reilhac, G Batan, C Michel, C Grova, J Tohka, DL Collins, N Costes, ...‏
IEEE Transactions on Nuclear Science 52 (5), 1321-1328, 2005‏
1062005
Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data‏
E Moradi, B Khundrakpam, JD Lewis, AC Evans, J Tohka‏
Neuroimage 144, 128-141, 2017‏
1022017
Prediction of brain maturity based on cortical thickness at different spatial resolutions‏
BS Khundrakpam, J Tohka, AC Evans, ...‏
Neuroimage 111, 350-359, 2015‏
992015
Partial volume effect modeling for segmentation and tissue classification of brain magnetic resonance images: A review‏
J Tohka‏
World journal of radiology 6 (11), 855, 2014‏
992014
Comparison of feature selection techniques in machine learning for anatomical brain MRI in dementia‏
J Tohka, E Moradi, H Huttunen, ...‏
Neuroinformatics 14, 279-296, 2016‏
982016
T1 white/gray contrast as a predictor of chronological age, and an index of cognitive performance‏
JD Lewis, AC Evans, J Tohka, Brain Development Cooperative Group‏
Neuroimage 173, 341-350, 2018‏
942018
Brain MRI tissue classification based on local Markov random fields‏
J Tohka, ID Dinov, DW Shattuck, AW Toga‏
Magnetic resonance imaging 28 (4), 557-573, 2010‏
892010
Automated 3D axonal morphometry of white matter‏
A Abdollahzadeh, I Belevich, E Jokitalo, J Tohka, A Sierra‏
Scientific reports 9 (1), 6084, 2019‏
872019
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20