Jussi Tohka
Orcid: 0000-0002-1048-5860Affiliations:
- University of Eastern Finland, Kuopio, Finland
- Universidad Carlos III de Madrid, Spain (former)
- Tampere University of Technology, Finland (former)
According to our database1,
Jussi Tohka
authored at least 75 papers
between 2001 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach.
CoRR, 2024
2023
Automatic Cerebral Hemisphere Segmentation in Rat MRI with Ischemic Lesions via Attention-based Convolutional Neural Networks.
Neuroinformatics, January, 2023
Convolutional Neural Networks for Automatic Detection of Intact Adenovirus from TEM Imaging with Debris, Broken and Artefacts Particles.
CoRR, 2023
Self-Supervised Super-Resolution Approach for Isotropic Reconstruction of 3D Electron Microscopy Images from Anisotropic Acquisition.
Proceedings of the 11th European Workshop on Visual Information Processing, 2023
2022
Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning.
CoRR, 2022
Comput. Methods Programs Biomed., 2022
gACSON software for automated segmentation and morphology analyses of myelinated axons in 3D electron microscopy.
Comput. Methods Programs Biomed., 2022
2021
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge.
NeuroImage, 2021
Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases.
NeuroImage, 2021
J. Imaging, 2021
Evaluation of machine learning algorithms for health and wellness applications: A tutorial.
Comput. Biol. Medicine, 2021
Comparison of Single and Multitask Learning for Predicting Cognitive Decline Based on MRI Data.
IEEE Access, 2021
IEEE Access, 2021
2020
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
CoRR, 2020
2019
Pattern Recognit. Lett., 2019
Neuroinformatics, 2019
Cortical and subcortical T1 white/gray contrast, chronological age, and cognitive performance.
NeuroImage, 2019
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
2018
T1 white/gray contrast as a predictor of chronological age, and an index of cognitive performance.
NeuroImage, 2018
2017
Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data.
NeuroImage, 2017
2016
Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia.
Neuroinformatics, 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
2015
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
2014
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
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
2013
Mach. Vis. Appl., 2013
Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
2012
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
2011
Face Prediction from fMRI Data during Movie Stimulus: Strategies for Feature Selection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
2010
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
2009
Int. J. Biomed. Imaging, 2009
Automatic Quantification of Fluorescence from Clustered Targets in Microscope Images.
Proceedings of the Image Analysis, 16th Scandinavian Conference, 2009
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
2008
Deconvolution-based partial volume correction in Raclopride-PET and Monte Carlo comparison to MR-based method.
NeuroImage, 2008
NeuroImage, 2008
2007
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
2006
IEEE Trans. Inf. Technol. Biomed., 2006
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
Proceedings of the Computer Vision Approaches to Medical Image Analysis, 2006
2005
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
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
2004
Fast and robust parameter estimation for statistical partial volume models in brain MRI.
NeuroImage, 2004
Int. J. Image Graph., 2004
2003
Global optimization-based deformable meshes for surface extraction from medical images.
PhD thesis, 2003
Delineation of drain Structures from Positron Emission Tomography Images with Deformable Models.
Proceedings of the New Navigators: from Professionals to Patients, 2003
2002
Surface Extraction from Volumetric Images Using Deformable Meshes: A Comparative Study.
Proceedings of the Computer Vision, 2002
2001
Proceedings of the 11th International Conference on Image Analysis and Processing (ICIAP 2001), 2001