Jussi Tohka

According to our database1, Jussi Tohka authored at least 60 papers between 2001 and 2021.

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PhD thesis 


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On csauthors.net:


Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases.
NeuroImage, 2021

Transfer Learning in Magnetic Resonance Brain Imaging: A Systematic Review.
J. Imaging, 2021

Cylindrical Shape Decomposition for 3D Segmentation of Tubular Objects.
IEEE Access, 2021

Regularized Bagged Canonical Component Analysis for Multiclass Learning in Brain Imaging.
Neuroinformatics, 2020

ADHD desynchronizes brain activity during watching a distracted multi-talker conversation.
NeuroImage, 2020

Evaluation of machine learning algorithms for Health and Wellness applications: a tutorial.
CoRR, 2020

RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation.
CoRR, 2020

Bayesian receiver operating characteristic metric for linear classifiers.
Pattern Recognit. Lett., 2019

Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging.
Neuroinformatics, 2019

Cortical and subcortical T1 white/gray contrast, chronological age, and cognitive performance.
NeuroImage, 2019

Cylindrical Shape Decomposition Algorithm for 3D Segmentation.
CoRR, 2019

Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Predicting Intelligence Based on Cortical WM/GM Contrast, Cortical Thickness and Volumetry.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

T1 white/gray contrast as a predictor of chronological age, and an index of cognitive performance.
NeuroImage, 2018

Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data.
NeuroImage, 2017

Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia.
Neuroinformatics, 2016

Simulation and Validation in Brain Image Analysis.
Comput. Intell. Neurosci., 2016

How Many Is Enough? Effect of Sample Size in Inter-Subject Correlation Analysis of fMRI.
Comput. Intell. Neurosci., 2016

Voxel importance in classifier ensembles based on sign consistency patterns: application to sMRI.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

Model selection for linear classifiers using Bayesian error estimation.
Pattern Recognit., 2015

Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects.
NeuroImage, 2015

Prediction of brain maturity based on cortical thickness at different spatial resolutions.
NeuroImage, 2015

Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge.
IEEE Trans. Medical Imaging, 2014

An automatic framework for quantitative validation of voxel based morphometry measures of anatomical brain asymmetry.
NeuroImage, 2014

A versatile software package for inter-subject correlation based analyses of fMRI.
Frontiers Neuroinformatics, 2014

Difference of Gaussians revolved along elliptical paths for ultrasound fetal head segmentation.
Comput. Medical Imaging Graph., 2014

Semi-supervised learning in MCI-to-ad conversion prediction - When is unlabeled data useful?
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Mind reading with regularized multinomial logistic regression.
Mach. Vis. Appl., 2013

FAST-PVE: Extremely Fast Markov Random Field Based Brain MRI Tissue Classification.
Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

Bayesian error estimation and model selection in sparse logistic regression.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Imaging brain change across different time scales.
Frontiers Neuroinformatics, 2012

Simplified Reeb Graph as Effective Shape Descriptor for the Striatum.
Proceedings of the Mesh Processing in Medical Image Analysis 2012, 2012

3D Bending of Surfaces and Volumes with an Application to Brain Torque Modeling.
Proceedings of the ICPRAM 2012, 2012

Face Prediction from fMRI Data during Movie Stimulus: Strategies for Feature Selection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Improved estimates of partial volume coefficients from noisy brain MRI using spatial context.
NeuroImage, 2010

Automatic cerebral and cerebellar hemisphere segmentation in 3D MRI: Adaptive disconnection algorithm.
Medical Image Anal., 2010

Inter-subject correlation of brain hemodynamic responses during watching a movie: localization in space and frequency.
Frontiers Neuroinformatics, 2010

Segmentation of Striatal Brain Structures from High Resolution PET Images.
Int. J. Biomed. Imaging, 2009

Automatic Quantification of Fluorescence from Clustered Targets in Microscope Images.
Proceedings of the Image Analysis, 16th Scandinavian Conference, 2009

Shape Analysis of Human Brain Interhemispheric Fissure Bending in MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Automatic intensity quantification of fluorescence targets from microscope images with maximum likelihood estimation.
Proceedings of the 17th European Signal Processing Conference, 2009

Deconvolution-based partial volume correction in Raclopride-PET and Monte Carlo comparison to MR-based method.
NeuroImage, 2008

Automatic independent component labeling for artifact removal in fMRI.
NeuroImage, 2008

Genetic Algorithms for Finite Mixture Model Based Voxel Classification in Neuroimaging.
IEEE Trans. Medical Imaging, 2007

Accurate 3D Left-Right Brain Hemisphere Segmentation in MR Images Based on Shape Bottlenecks and Partial Volume Estimation.
Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007

Statistical Modeling of Attenuation-Corrected Pet Data with Application to Reconstruction of Regional Time Activity Curves.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Automatic method for caveolar structure detection and intensity distribution analysis from microscopy images.
Proceedings of the 15th European Signal Processing Conference, 2007

Robust Estimation of Bioaffinity Assay Fluorescence Signals.
IEEE Trans. Inf. Technol. Biomed., 2006

Adaptive edge detection based on 3D kernel functions for biomedical image analysis.
Proceedings of the Image Processing: Algorithms and Systems IV, 2006

Unsupervised Segmentation of Cardiac PET Transmission Images for Automatic Heart Volume Extraction.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Segmentation of Dynamic Emission Tomography Data in Projection Space.
Proceedings of the Computer Vision Approaches to Medical Image Analysis, 2006

Automated diagnosis of brain tumours astrocytomas using probabilistic neural network clustering and support vector machines.
Int. J. Neural Syst., 2005

Automatic extraction of brain surface and mid-sagittal plane from PET images applying deformable models.
Comput. Methods Programs Biomed., 2005

Object-Oriented Implementation for the Dual Surface Minimisation Algorithm.
Proceedings of the Connecting Medical Informatics and Bio-Informatics - Proceedings of MIE 2005, 2005

Assessment of Separation of Functional Components with ICA from Dynamic Cardiac Perfusion PET Phantom Images for Volume Extraction with Deformable Surface Models.
Proceedings of the Functional Imaging and Modeling of the Heart, 2005

Fast and robust parameter estimation for statistical partial volume models in brain MRI.
NeuroImage, 2004

Deformable Mesh For Automated Surface Extraction From Noisy Images.
Int. J. Image Graph., 2004

Delineation of drain Structures from Positron Emission Tomography Images with Deformable Models.
Proceedings of the New Navigators: from Professionals to Patients, 2003

Surface Extraction from Volumetric Images Using Deformable Meshes: A Comparative Study.
Proceedings of the Computer Vision, 2002

Global Optimization of Deformable Surface Meshes Based on Genetic Algorithms.
Proceedings of the 11th International Conference on Image Analysis and Processing (ICIAP 2001), 2001