Global Optimization of Deformable Surface Meshes Based on Genetic Algorithms. - Jussi Tohka (ICIAP, 2001)

Surface Extraction from Volumetric Images Using Deformable Meshes: A Comparative Study. - Jussi Tohka (ECCV (3), 2002)

Delineation of drain Structures from Positron Emission Tomography Images with Deformable Models. - Jouni M. Mykkänen; Jussi Tohka; Ulla Ruotsalainen (MIE, 2003)

Global optimization-based deformable meshes for surface extraction from medical images. - Jussi Tohka (2003)

Deformable Mesh For Automated Surface Extraction From Noisy Images. - Jussi Tohka; Jouni M. Mykkänen (Int. J. Image Graph., 2004)

Fast and robust parameter estimation for statistical partial volume models in brain MRI. - Jussi Tohka; Alex P. Zijdenbos; Alan C. Evans (NeuroImage, 2004)

Assessment of Separation of Functional Components with ICA from Dynamic Cardiac Perfusion PET Phantom Images for Volume Extraction with Deformable Surface Models. - Anu Juslin; Anthonin Reilhac; Margarita Magadán-Méndez; Edisson Albán; Jussi Tohka; Ulla Ruotsalainen (FIMH, 2005)

Object-Oriented Implementation for the Dual Surface Minimisation Algorithm. - Jouni M. Mykkänen; Mikko Itäranta; Jussi Tohka (MIE, 2005)

Automatic extraction of brain surface and mid-sagittal plane from PET images applying deformable models. - Jouni M. Mykkänen; Jussi Tohka; Jouni Luoma; Ulla Ruotsalainen (Comput. Methods Programs Biomed., 2005)

Automated diagnosis of brain tumours astrocytomas using probabilistic neural network clustering and support vector machines. - Dimitris Glotsos; Jussi Tohka; Panagiota Ravazoula; Dionisis A. Cavouras; George Nikiforidis (Int. J. Neural Syst., 2005)

Segmentation of Dynamic Emission Tomography Data in Projection Space. - Evgeny Krestyannikov; Jussi Tohka; Ulla Ruotsalainen (CVAMIA, 2006)

Unsupervised Segmentation of Cardiac PET Transmission Images for Automatic Heart Volume Extraction. - Anu Juslin; Jussi Tohka (EMBC, 2006)

Adaptive edge detection based on 3D kernel functions for biomedical image analysis. - Edisson Albán; Jussi Tohka; Ulla Ruotsalainen (Image Processing: Algorithms and Systems, 2006)

Robust Estimation of Bioaffinity Assay Fluorescence Signals. - Dimitris Glotsos; Jussi Tohka; Jori Soukka; Juhani T. Soini; Ulla Ruotsalainen (IEEE Trans. Inf. Technol. Biomed., 2006)

Automatic method for caveolar structure detection and intensity distribution analysis from microscopy images. - Harri Pölönen; Maurice Jansen; Jussi Tohka; Elina Ikonen; Ulla Ruotsalainen (EUSIPCO, 2007)

Statistical Modeling of Attenuation-Corrected Pet Data with Application to Reconstruction of Regional Time Activity Curves. - Evgeny Krestyannikov; Jussi Tohka; Ulla Ruotsalainen (ISBI, 2007)

Accurate 3D Left-Right Brain Hemisphere Segmentation in MR Images Based on Shape Bottlenecks and Partial Volume Estimation. - Lu Zhao; Jussi Tohka; Ulla Ruotsalainen (SCIA, 2007)

Genetic Algorithms for Finite Mixture Model Based Voxel Classification in Neuroimaging. - Jussi Tohka; Evgeny Krestyannikov; Ivo D. Dinov; Allan MacKenzie-Graham; David W. Shattuck; Ulla Ruotsalainen; Arthur W. Toga (IEEE Trans. Medical Imaging, 2007)

Automatic independent component labeling for artifact removal in fMRI. - Jussi Tohka; Karin Foerde; Adam R. Aron; Sabrina M. Tom; Arthur W. Toga; Russell A. Poldrack (NeuroImage, 2008)

Deconvolution-based partial volume correction in Raclopride-PET and Monte Carlo comparison to MR-based method. - Jussi Tohka; Anthonin Reilhac (NeuroImage, 2008)

Automatic intensity quantification of fluorescence targets from microscope images with maximum likelihood estimation. - Harri Pölönen; Jussi Tohka; Ulla Ruotsalainen (EUSIPCO, 2009)

Shape Analysis of Human Brain Interhemispheric Fissure Bending in MRI. - Lu Zhao; Jarmo Hietala; Jussi Tohka (MICCAI (1), 2009)

Automatic Quantification of Fluorescence from Clustered Targets in Microscope Images. - Harri Pölönen; Jussi Tohka; Ulla Ruotsalainen (SCIA, 2009)

Segmentation of Striatal Brain Structures from High Resolution PET Images. - Ricardo J. P. C. Farinha; Ulla Ruotsalainen; Jussi Hirvonen; Lauri Tuominen; Jarmo Hietala; José M. Fonseca 001; Jussi Tohka (Int. J. Biomed. Imaging, 2009)

Inter-subject correlation of brain hemodynamic responses during watching a movie: localization in space and frequency. - Jukka-Pekka Kauppi; Iiro P. Jääskeläinen; Mikko Sams; Jussi Tohka (Frontiers Neuroinformatics, 2010)

Automatic cerebral and cerebellar hemisphere segmentation in 3D MRI: Adaptive disconnection algorithm. - Lu Zhao; Ulla Ruotsalainen; Jussi Hirvonen; Jarmo Hietala; Jussi Tohka (Medical Image Anal., 2010)

Improved estimates of partial volume coefficients from noisy brain MRI using spatial context. - José V. Manjón; Jussi Tohka; Montserrat Robles (NeuroImage, 2010)

Face Prediction from fMRI Data during Movie Stimulus: Strategies for Feature Selection. - Jukka-Pekka Kauppi; Heikki Huttunen; Heikki Korkala; Iiro P. Jääskeläinen; Mikko Sams; Jussi Tohka (ICANN (2), 2011)

3D Bending of Surfaces and Volumes with an Application to Brain Torque Modeling. - Antonietta Pepe; Jussi Tohka (ICPRAM (2), 2012)

Simplified Reeb Graph as Effective Shape Descriptor for the Striatum. - Antonietta Pepe; Laura Brandolini; Marco Piastra; Juha Koikkalainen; Jarmo Hietala; Jussi Tohka (MeshMed, 2012)

Imaging brain change across different time scales. - Jussi Tohka; Ulla Ruotsalainen (Frontiers Neuroinformatics, 2012)

Bayesian error estimation and model selection in sparse logistic regression. - Heikki Huttunen; Tapio Manninen; Jussi Tohka (MLSP, 2013)

FAST-PVE: Extremely Fast Markov Random Field Based Brain MRI Tissue Classification. - Jussi Tohka (SCIA, 2013)

Mind reading with regularized multinomial logistic regression. - Heikki Huttunen; Tapio Manninen; Jukka-Pekka Kauppi; Jussi Tohka (Mach. Vis. Appl., 2013)

Semi-supervised learning in MCI-to-ad conversion prediction - When is unlabeled data useful? - Elaheh Moradi; Jussi Tohka; Christian Gaser (PRNI, 2014)

Difference of Gaussians revolved along elliptical paths for ultrasound fetal head segmentation. - Alessandro Foi; Matteo Maggioni; Antonietta Pepe; Sylvia Rueda; J. Alison Noble; Aris T. Papageorghiou; Jussi Tohka (Comput. Medical Imaging Graph., 2014)

A versatile software package for inter-subject correlation based analyses of fMRI. - Jukka-Pekka Kauppi; Juha Pajula; Jussi Tohka (Frontiers Neuroinformatics, 2014)

An automatic framework for quantitative validation of voxel based morphometry measures of anatomical brain asymmetry. - Antonietta Pepe; Ivo D. Dinov; Jussi Tohka (NeuroImage, 2014)

Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge. - Sylvia Rueda; Sana Fathima; Caroline L. Knight; Mohammad Yaqub; Aris T. Papageorghiou; Bahbibi Rahmatullah; Alessandro Foi; Matteo Maggioni; Antonietta Pepe; Jussi Tohka; Richard V. Stebbing; John McManigle; et al. (IEEE Trans. Medical Imaging, 2014)

Prediction of brain maturity based on cortical thickness at different spatial resolutions. - Budhachandra S. Khundrakpam; Jussi Tohka; Alan C. Evans (NeuroImage, 2015)

Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects. - Elaheh Moradi; Antonietta Pepe; Christian Gaser; Heikki Huttunen; Jussi Tohka (NeuroImage, 2015)

Model selection for linear classifiers using Bayesian error estimation. - Heikki Huttunen; Jussi Tohka (Pattern Recognit., 2015)

Voxel importance in classifier ensembles based on sign consistency patterns: application to sMRI. - Vanessa Gómez-Verdejo; Jussi Tohka (PRNI, 2016)

How Many Is Enough? Effect of Sample Size in Inter-Subject Correlation Analysis of fMRI. - Juha Pajula; Jussi Tohka (Comput. Intell. Neurosci., 2016)

Simulation and Validation in Brain Image Analysis. - Jussi Tohka; Pierre Bellec; Christophe Grova; Anthonin Reilhac (Comput. Intell. Neurosci., 2016)

Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia. - Jussi Tohka; Elaheh Moradi; Heikki Huttunen (Neuroinformatics, 2016)

Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data. - Elaheh Moradi; Budhachandra S. Khundrakpam; John D. Lewis; Alan C. Evans; Jussi Tohka (NeuroImage, 2017)

T1 white/gray contrast as a predictor of chronological age, and an index of cognitive performance. - John D. Lewis; Alan C. Evans; Jussi Tohka (NeuroImage, 2018)

Predicting Intelligence Based on Cortical WM/GM Contrast, Cortical Thickness and Volumetry. - Juan Miguel Valverde; Vandad Imani; John D. Lewis; Jussi Tohka (ABCD-NP@MICCAI, 2019)

Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks. - Juan Miguel Valverde; Artem Shatillo; Riccardo de Feo; Olli Gröhn; Alejandra Sierra; Jussi Tohka (MLMI@MICCAI, 2019)

Cylindrical Shape Decomposition Algorithm for 3D Segmentation. - Ali Abdollahzadeh; Alejandra Sierra; Jussi Tohka (CoRR, 2019)

Cortical and subcortical T1 white/gray contrast, chronological age, and cognitive performance. - John D. Lewis; Vladimir S. Fonov; D. Louis Collins; Alan C. Evans; Jussi Tohka (NeuroImage, 2019)

Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging. - Vanessa Gómez-Verdejo; Emilio Parrado-Hernández; Jussi Tohka (Neuroinformatics, 2019)

Bayesian receiver operating characteristic metric for linear classifiers. - Syeda Sakira Hassan; Heikki Huttunen; Jari Niemi; Jussi Tohka (Pattern Recognit. Lett., 2019)

RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation. - Juan Miguel Valverde; Artem Shatillo; Riccardo de Feo; Olli Gröhn; Alejandra Sierra; Jussi Tohka (CoRR, 2020)

ADHD desynchronizes brain activity during watching a distracted multi-talker conversation. - Juha Salmi; Mostafa Metwaly; Jussi Tohka; Kimmo Alho; Sami Leppämäki; Pekka Tani; Anniina Koski; Tamara Vanderwal; Matti Laine (NeuroImage, 2020)

Regularized Bagged Canonical Component Analysis for Multiclass Learning in Brain Imaging. - Carlos Sevilla-Salcedo; Vanessa Gómez-Verdejo; Jussi Tohka (Neuroinformatics, 2020)

Cylindrical Shape Decomposition for 3D Segmentation of Tubular Objects. - Ali Abdollahzadeh; Alejandra Sierra; Jussi Tohka (IEEE Access, 2021)

Comparison of Single and Multitask Learning for Predicting Cognitive Decline Based on MRI Data. - Vandad Imani; Mithilesh Prakash; Marzieh Zare; Jussi Tohka (IEEE Access, 2021)

Evaluation of machine learning algorithms for health and wellness applications: A tutorial. - Jussi Tohka; Mark J. van Gils (Comput. Biol. Medicine, 2021)

Automatic hemisphere segmentation in rodent MRI with lesions. - Juan Miguel Valverde; Artem Shatillo; Riccardo de Feo; Jussi Tohka (CoRR, 2021)

Transfer Learning in Magnetic Resonance Brain Imaging: A Systematic Review. - Juan Miguel Valverde; Vandad Imani; Ali Abdollahzadeh; Riccardo de Feo; Mithilesh Prakash; Robert Ciszek; Jussi Tohka (J. Imaging, 2021)

Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases. - Riccardo de Feo; Artem Shatillo; Alejandra Sierra; Juan Miguel Valverde; Olli Gröhn; Federico Giove; Jussi Tohka (NeuroImage, 2021)

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. - Kimberley M. Timmins; Irene C. van der Schaaf; Edwin Bennink; Ynte M. Ruigrok; Xingle An; Michael Baumgartner 001; Pascal Bourdon; Riccardo de Feo; Tommaso Di Noto; Florian Dubost; Augusto Fava-Sanches; Xue Feng 001; et al. (NeuroImage, 2021)

gACSON software for automated segmentation and morphology analyses of myelinated axons in 3D electron microscopy. - Andrea Behanova; Ali Abdollahzadeh; Ilya Belevich; Eija Jokitalo; Alejandra Sierra; Jussi Tohka (Comput. Methods Programs Biomed., 2022)

Multi-task longitudinal forecasting with missing values on Alzheimer's disease. - Carlos Sevilla-Salcedo; Vandad Imani; Pablo M. Olmos; Vanessa Gómez-Verdejo; Jussi Tohka (Comput. Methods Programs Biomed., 2022)

Adversarial Distortion Learning for Medical Image Denoising. - Morteza Ghahremani; Mohammad Khateri; Alejandra Sierra; Jussi Tohka (CoRR, 2022)

Self-Supervised Super-Resolution Approach for Isotropic Reconstruction of 3D Electron Microscopy Images from Anisotropic Acquisition. - Mohammad Khateri; Morteza Ghahremani; Alejandra Sierra; Jussi Tohka (EUVIP, 2023)

Multi-Objective Genetic Algorithm for Multi-View Feature Selection. - Vandad Imani; Carlos Sevilla-Salcedo; Vittorio Fortino; Jussi Tohka (CoRR, 2023)

Convolutional Neural Networks for Automatic Detection of Intact Adenovirus from TEM Imaging with Debris, Broken and Artefacts Particles. - Olivier Rukundo; Andrea Behanova; Riccardo de Feo; Seppo Ronkko; Joni Oja; Jussi Tohka (CoRR, 2023)

Automatic Cerebral Hemisphere Segmentation in Rat MRI with Ischemic Lesions via Attention-based Convolutional Neural Networks. - Juan Miguel Valverde; Artem Shatillo; Riccardo de Feo; Jussi Tohka (Neuroinformatics, 2023)

Region-wise loss for biomedical image segmentation. - Juan Miguel Valverde; Jussi Tohka (Pattern Recognit., 2023)

Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach. - Vandad Imani; Elaheh Moradi; Carlos Sevilla-Salcedo; Vittorio Fortino; Jussi Tohka (ACR, 2024)

Multi-objective genetic algorithm for multi-view feature selection. - Vandad Imani; Carlos Sevilla-Salcedo; Elaheh Moradi; Vittorio Fortino; Jussi Tohka (Appl. Soft Comput., 2024)

Unified Bayesian representation for high-dimensional multi-modal biomedical data for small-sample classification. - Albert Belenguer-Llorens; Carlos Sevilla-Salcedo; Jussi Tohka; Vanessa Gómez-Verdejo (CoRR, 2024)

Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning. - Juan Miguel Valverde; Artem Shatillo; Jussi Tohka (Neurocomputing, 2024)

No-Clean-Reference Image Super-Resolution: Application to Electron Microscopy. - Mohammad Khateri; Morteza Ghahremani; Alejandra Sierra; Jussi Tohka (IEEE Trans. Computational Imaging, 2024)

Segment Anything for Dendrites from Electron Microscopy. - Zewen Zhuo; Ilya Belevich; Ville Leinonen; Eija Jokitalo; Tarja Malm; Alejandra Sierra; Jussi Tohka (IPAS, 2025)

Editorial: Computational intelligence for signal and image processing, volume II. - Deepika Koundal; Jussi Tohka (Frontiers Comput. Neurosci., 2025)

Federated Learning for Predicting Mild Cognitive Impairment to Dementia Conversion. - Gaurang Sharma; Elaheh Moradi; Juha Pajula; Mika Hilvo; Jussi Tohka (CoRR, 2025)