Jussi Tohka - RankMe

101 papers C 2Misc 1Journal 74Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fine-tuning ImageNet-pretrained models in medical image classification: Reassessing the impact of different factors. Pattern Recognit. Lett. Juan Miguel Valverde, Vandad Imani, Jussi Tohka
2026	J	`jnl`	Simple Image Processing and Similarity Measures Can Link Data Samples across Databases through Brain MRI. CoRR Gaurang Sharma, Harri Pölönen, Juha Pajula, Jutta Suksi, Jussi Tohka
2026	J	`jnl`	USFetal: Tools for Fetal Brain Ultrasound Compounding. CoRR Mohammad Khateri, Morteza Ghahremani, Sergio Valencia, Camilo Jaimes, Alejandra Sierra, Jussi Tohka, Patricia Ellen Grant, Davood Karimi
2025	J	`jnl`	Deep learning ensemble for abdominal aortic calcification scoring from lumbar spine X-ray and DXA images. Comput. Biol. Medicine Antti Voss, Sanna Suoranta, Tomi Nissinen, Ossi Hurskainen, Amro Masarwah, Reijo Sund, Jussi Tohka, Sami P. Väänänen
2025	J	`jnl`	Editorial: Computational intelligence for signal and image processing, volume II. Frontiers Comput. Neurosci. Deepika Koundal, Jussi Tohka
2025	J	`jnl`	Federated Learning for Predicting Mild Cognitive Impairment to Dementia Conversion. CoRR Gaurang Sharma, Elaheh Moradi, Juha Pajula, Mika Hilvo, Jussi Tohka
2025	J	`jnl`	Forecasting Future Anatomies: Longitudianl Brain Mri-to-Mri Prediction. CoRR Ali Farki, Elaheh Moradi, Deepika Koundal, Jussi Tohka
2025	J	`jnl`	MRI Super-Resolution with Deep Learning: A Comprehensive Survey. CoRR Mohammad Khateri, Serge Vasylechko, Morteza Ghahremani, Liam Timms, Deniz Kocanaogullari, Simon K. Warfield, Camilo Jaimes, Davood Karimi, Alejandra Sierra, Jussi Tohka, Sila Kurugol, Onur Afacan
2025	C	`conf`	Segment Anything for Dendrites from Electron Microscopy. IPAS Zewen Zhuo, Ilya Belevich, Ville Leinonen, Eija Jokitalo, Tarja Malm, Alejandra Sierra, Jussi Tohka
2025	J	`jnl`	Unified Bayesian representation for high-dimensional multi-modal biomedical data for small-sample classification. Eng. Appl. Artif. Intell. Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Jussi Tohka, Vanessa Gómez-Verdejo
2024	J	`jnl`	Multi-objective genetic algorithm for multi-view feature selection. Appl. Soft Comput. Vandad Imani, Carlos Sevilla-Salcedo, Elaheh Moradi, Vittorio Fortino, Jussi Tohka
2024	J	`jnl`	No-Clean-Reference Image Super-Resolution: Application to Electron Microscopy. CoRR Mohammad Khateri, Morteza Ghahremani, Alejandra Sierra, Jussi Tohka
2024	J	`jnl`	No-Clean-Reference Image Super-Resolution: Application to Electron Microscopy. IEEE Trans. Computational Imaging Mohammad Khateri, Morteza Ghahremani, Alejandra Sierra, Jussi Tohka
2024	—	`conf`	Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach. ACR Vandad Imani, Elaheh Moradi, Carlos Sevilla-Salcedo, Vittorio Fortino, Jussi Tohka
2024	J	`jnl`	Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach. CoRR Vandad Imani, Elaheh Moradi, Carlos Sevilla-Salcedo, Vittorio Fortino, Jussi Tohka
2024	J	`jnl`	Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning. Neurocomputing Juan Miguel Valverde, Artem Shatillo, Jussi Tohka
2024	J	`jnl`	Segment Anything for Dendrites from Electron Microscopy. CoRR Zewen Zhuo, Ilya Belevich, Ville Leinonen, Eija Jokitalo, Tarja Malm, Alejandra Sierra, Jussi Tohka
2024	J	`jnl`	Unified Bayesian representation for high-dimensional multi-modal biomedical data for small-sample classification. CoRR Albert Belenguer-Llorens, Carlos Sevilla-Salcedo, Jussi Tohka, Vanessa Gómez-Verdejo
2023	J	`jnl`	Automatic Cerebral Hemisphere Segmentation in Rat MRI with Ischemic Lesions via Attention-based Convolutional Neural Networks. Neuroinformatics Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Jussi Tohka
2023	J	`jnl`	Convolutional Neural Networks for Automatic Detection of Intact Adenovirus from TEM Imaging with Debris, Broken and Artefacts Particles. CoRR Olivier Rukundo, Andrea Behanova, Riccardo de Feo, Seppo Ronkko, Joni Oja, Jussi Tohka
2023	J	`jnl`	Multi-Objective Genetic Algorithm for Multi-View Feature Selection. CoRR Vandad Imani, Carlos Sevilla-Salcedo, Vittorio Fortino, Jussi Tohka
2023	J	`jnl`	Region-wise loss for biomedical image segmentation. Pattern Recognit. Juan Miguel Valverde, Jussi Tohka
2023	—	`conf`	Self-Supervised Super-Resolution Approach for Isotropic Reconstruction of 3D Electron Microscopy Images from Anisotropic Acquisition. EUVIP Mohammad Khateri, Morteza Ghahremani, Alejandra Sierra, Jussi Tohka
2023	J	`jnl`	Self-Supervised Super-Resolution Approach for Isotropic Reconstruction of 3D Electron Microscopy Images from Anisotropic Acquisition. CoRR Mohammad Khateri, Morteza Ghahremani, Alejandra Sierra, Jussi Tohka
2022	J	`jnl`	Adversarial Distortion Learning for Medical Image Denoising. CoRR Morteza Ghahremani, Mohammad Khateri, Alejandra Sierra, Jussi Tohka
2022	J	`jnl`	Multi-task longitudinal forecasting with missing values on Alzheimer's Disease. CoRR Carlos Sevilla-Salcedo, Vandad Imani, Pablo M. Olmos, Vanessa Gómez-Verdejo, Jussi Tohka
2022	J	`jnl`	Multi-task longitudinal forecasting with missing values on Alzheimer's disease. Comput. Methods Programs Biomed. Carlos Sevilla-Salcedo, Vandad Imani, Pablo M. Olmos, Vanessa Gómez-Verdejo, Jussi Tohka
2022	J	`jnl`	Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning. CoRR Juan Miguel Valverde, Artem Shatillo, Jussi Tohka
2022	J	`jnl`	gACSON software for automated segmentation and morphology analyses of myelinated axons in 3D electron microscopy. Comput. Methods Programs Biomed. Andrea Behanova, Ali Abdollahzadeh, Ilya Belevich, Eija Jokitalo, Alejandra Sierra, Jussi Tohka
2021	J	`jnl`	Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases. NeuroImage Riccardo de Feo, Artem Shatillo, Alejandra Sierra, Juan Miguel Valverde, Olli Gröhn, Federico Giove, Jussi Tohka
2021	J	`jnl`	Automatic hemisphere segmentation in rodent MRI with lesions. CoRR Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Jussi Tohka
2021	J	`jnl`	Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. NeuroImage Kimberley M. Timmins, Irene C. van der Schaaf, Edwin Bennink, Ynte M. Ruigrok, Xingle An, Michael Baumgartner, Pascal Bourdon, Riccardo de Feo, Tommaso Di Noto, Florian Dubost, Augusto Fava-Sanches, Xue Feng, Corentin Giroud, Inteneural Group, Minghui Hu, Paul F. Jaeger, Juhana Kaiponen, Michal Klimont, Yuexiang Li, Hongwei Li, Yi Lin, Timo Loehr, Jun Ma, Klaus H. Maier-Hein, Guillaume Marie, Bjoern H. Menze, Jonas Richiardi, Saifeddine Rjiba, Dhaval Shah, Suprosanna Shit, Jussi Tohka, Thierry Urruty, Urszula Walinska, Xiaoping Yang, Yunqiao Yang, Yin Yin, Birgitta K. Velthuis, Hugo J. Kuijf
2021	J	`jnl`	Comparison of Single and Multitask Learning for Predicting Cognitive Decline Based on MRI Data. IEEE Access Vandad Imani, Mithilesh Prakash, Marzieh Zare, Jussi Tohka
2021	J	`jnl`	Comparison of single and multitask learning for predicting cognitive decline based on MRI data. CoRR Vandad Imani, Mithilesh Prakash, Marzieh Zare, Jussi Tohka
2021	J	`jnl`	Cylindrical Shape Decomposition for 3D Segmentation of Tubular Objects. IEEE Access Ali Abdollahzadeh, Alejandra Sierra, Jussi Tohka
2021	J	`jnl`	Evaluation of machine learning algorithms for health and wellness applications: A tutorial. Comput. Biol. Medicine Jussi Tohka, Mark J. van Gils
2021	J	`jnl`	Region-wise Loss for Biomedical Image Segmentation. CoRR Juan Miguel Valverde, Jussi Tohka
2021	J	`jnl`	Transfer Learning in Magnetic Resonance Brain Imaging: A Systematic Review. J. Imaging Juan Miguel Valverde, Vandad Imani, Ali Abdollahzadeh, Riccardo de Feo, Mithilesh Prakash, Robert Ciszek, Jussi Tohka
2021	J	`jnl`	Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review. CoRR Juan Miguel Valverde, Vandad Imani, Ali Abdollahzadeh, Riccardo de Feo, Mithilesh Prakash, Robert Ciszek, Jussi Tohka
2021	J	`jnl`	gACSON software for automated segmentation and morphology analyses of myelinated axons in 3D electron microscopy. CoRR Andrea Behanova, Ali Abdollahzadeh, Ilya Belevich, Eija Jokitalo, Alejandra Sierra, Jussi Tohka
2020	J	`jnl`	ADHD desynchronizes brain activity during watching a distracted multi-talker conversation. NeuroImage Juha Salmi, Mostafa Metwaly, Jussi Tohka, Kimmo Alho, Sami Leppämäki, Pekka Tani, Anniina Koski, Tamara Vanderwal, Matti Laine
2020	J	`jnl`	Evaluation of machine learning algorithms for Health and Wellness applications: a tutorial. CoRR Jussi Tohka, Mark J. van Gils
2020	J	`jnl`	RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation. CoRR Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka
2020	J	`jnl`	Regularized Bagged Canonical Component Analysis for Multiclass Learning in Brain Imaging. Neuroinformatics Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Jussi Tohka
2019	—	`conf`	Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks. MLMI@MICCAI Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka
2019	J	`jnl`	Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks. CoRR Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka
2019	J	`jnl`	Bayesian Receiver Operating Characteristic Metric for Linear Classifiers. CoRR Syeda Sakira Hassan, Heikki Huttunen, Jari Niemi, Jussi Tohka
2019	J	`jnl`	Bayesian receiver operating characteristic metric for linear classifiers. Pattern Recognit. Lett. Syeda Sakira Hassan, Heikki Huttunen, Jari Niemi, Jussi Tohka
2019	J	`jnl`	Cortical and subcortical T1 white/gray contrast, chronological age, and cognitive performance. NeuroImage John D. Lewis, Vladimir S. Fonov, D. Louis Collins, Alan C. Evans, Jussi Tohka
2019	J	`jnl`	Cylindrical Shape Decomposition Algorithm for 3D Segmentation. CoRR Ali Abdollahzadeh, Alejandra Sierra, Jussi Tohka
2019	—	`conf`	Predicting Intelligence Based on Cortical WM/GM Contrast, Cortical Thickness and Volumetry. ABCD-NP@MICCAI Juan Miguel Valverde, Vandad Imani, John D. Lewis, Jussi Tohka
2019	J	`jnl`	Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry. CoRR Juan Miguel Valverde, Vandad Imani, John D. Lewis, Jussi Tohka
2019	J	`jnl`	Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging. Neuroinformatics Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Jussi Tohka
2018	J	`jnl`	T1 white/gray contrast as a predictor of chronological age, and an index of cognitive performance. NeuroImage John D. Lewis, Alan C. Evans, Jussi Tohka
2017	J	`jnl`	Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data. NeuroImage Elaheh Moradi, Budhachandra S. Khundrakpam, John D. Lewis, Alan C. Evans, Jussi Tohka
2016	J	`jnl`	Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia. Neuroinformatics Jussi Tohka, Elaheh Moradi, Heikki Huttunen
2016	J	`jnl`	How Many Is Enough? Effect of Sample Size in Inter-Subject Correlation Analysis of fMRI. Comput. Intell. Neurosci. Juha Pajula, Jussi Tohka
2016	J	`jnl`	Simulation and Validation in Brain Image Analysis. Comput. Intell. Neurosci. Jussi Tohka, Pierre Bellec, Christophe Grova, Anthonin Reilhac
2016	—	`conf`	Voxel importance in classifier ensembles based on sign consistency patterns: application to sMRI. PRNI Vanessa Gómez-Verdejo, Jussi Tohka
2015	J	`jnl`	Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects. NeuroImage Elaheh Moradi, Antonietta Pepe, Christian Gaser, Heikki Huttunen, Jussi Tohka
2015	J	`jnl`	Model selection for linear classifiers using Bayesian error estimation. Pattern Recognit. Heikki Huttunen, Jussi Tohka
2015	J	`jnl`	Prediction of brain maturity based on cortical thickness at different spatial resolutions. NeuroImage Budhachandra S. Khundrakpam, Jussi Tohka, Alan C. Evans
2014	J	`jnl`	A versatile software package for inter-subject correlation based analyses of fMRI. Frontiers Neuroinformatics Jukka-Pekka Kauppi, Juha Pajula, Jussi Tohka
2014	J	`jnl`	An automatic framework for quantitative validation of voxel based morphometry measures of anatomical brain asymmetry. NeuroImage Antonietta Pepe, Ivo D. Dinov, Jussi Tohka
2014	J	`jnl`	Difference of Gaussians revolved along elliptical paths for ultrasound fetal head segmentation. Comput. Medical Imaging Graph. Alessandro Foi, Matteo Maggioni, Antonietta Pepe, Sylvia Rueda, J. Alison Noble, Aris T. Papageorghiou, Jussi Tohka
2014	J	`jnl`	Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge. IEEE Trans. Medical Imaging 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, Anca Ciurte, Xavier Bresson, Meritxell Bach Cuadra, Changming Sun, Gennady V. Ponomarev, Mikhail S. Gelfand, Marat D. Kazanov, Ching-Wei Wang, Hsiang-Chou Chen, Chun-Wei Peng, Chu-Mei Hung, J. Alison Noble
2014	—	`conf`	Semi-supervised learning in MCI-to-ad conversion prediction - When is unlabeled data useful? PRNI Elaheh Moradi, Jussi Tohka, Christian Gaser
2013	—	`conf`	Bayesian error estimation and model selection in sparse logistic regression. MLSP Heikki Huttunen, Tapio Manninen, Jussi Tohka
2013	—	`conf`	FAST-PVE: Extremely Fast Markov Random Field Based Brain MRI Tissue Classification. SCIA Jussi Tohka
2013	J	`jnl`	Mind reading with regularized multinomial logistic regression. Mach. Vis. Appl. Heikki Huttunen, Tapio Manninen, Jukka-Pekka Kauppi, Jussi Tohka
2012	—	`conf`	3D Bending of Surfaces and Volumes with an Application to Brain Torque Modeling. ICPRAM (2) Antonietta Pepe, Jussi Tohka
2012	J	`jnl`	Imaging brain change across different time scales. Frontiers Neuroinformatics Jussi Tohka, Ulla Ruotsalainen
2012	—	`conf`	Simplified Reeb Graph as Effective Shape Descriptor for the Striatum. MeshMed Antonietta Pepe, Laura Brandolini, Marco Piastra, Juha Koikkalainen, Jarmo Hietala, Jussi Tohka
2011	—	`conf`	Face Prediction from fMRI Data during Movie Stimulus: Strategies for Feature Selection. ICANN (2) Jukka-Pekka Kauppi, Heikki Huttunen, Heikki Korkala, Iiro P. Jääskeläinen, Mikko Sams, Jussi Tohka
2010	J	`jnl`	Automatic cerebral and cerebellar hemisphere segmentation in 3D MRI: Adaptive disconnection algorithm. Medical Image Anal. Lu Zhao, Ulla Ruotsalainen, Jussi Hirvonen, Jarmo Hietala, Jussi Tohka
2010	J	`jnl`	Improved estimates of partial volume coefficients from noisy brain MRI using spatial context. NeuroImage José V. Manjón, Jussi Tohka, Montserrat Robles
2010	J	`jnl`	Inter-subject correlation of brain hemodynamic responses during watching a movie: localization in space and frequency. Frontiers Neuroinformatics Jukka-Pekka Kauppi, Iiro P. Jääskeläinen, Mikko Sams, Jussi Tohka
2009	—	`conf`	Automatic Quantification of Fluorescence from Clustered Targets in Microscope Images. SCIA Harri Pölönen, Jussi Tohka, Ulla Ruotsalainen
2009	—	`conf`	Automatic intensity quantification of fluorescence targets from microscope images with maximum likelihood estimation. EUSIPCO Harri Pölönen, Jussi Tohka, Ulla Ruotsalainen
2009	J	`jnl`	Segmentation of Striatal Brain Structures from High Resolution PET Images. Int. J. Biomed. Imaging Ricardo J. P. C. Farinha, Ulla Ruotsalainen, Jussi Hirvonen, Lauri Tuominen, Jarmo Hietala, José M. Fonseca, Jussi Tohka
2009	—	`conf`	Shape Analysis of Human Brain Interhemispheric Fissure Bending in MRI. MICCAI (1) Lu Zhao, Jarmo Hietala, Jussi Tohka
2008	J	`jnl`	Automatic independent component labeling for artifact removal in fMRI. NeuroImage Jussi Tohka, Karin Foerde, Adam R. Aron, Sabrina M. Tom, Arthur W. Toga, Russell A. Poldrack
2008	J	`jnl`	Deconvolution-based partial volume correction in Raclopride-PET and Monte Carlo comparison to MR-based method. NeuroImage Jussi Tohka, Anthonin Reilhac
2007	—	`conf`	Accurate 3D Left-Right Brain Hemisphere Segmentation in MR Images Based on Shape Bottlenecks and Partial Volume Estimation. SCIA Lu Zhao, Jussi Tohka, Ulla Ruotsalainen
2007	—	`conf`	Automatic method for caveolar structure detection and intensity distribution analysis from microscopy images. EUSIPCO Harri Pölönen, Maurice Jansen, Jussi Tohka, Elina Ikonen, Ulla Ruotsalainen
2007	J	`jnl`	Genetic Algorithms for Finite Mixture Model Based Voxel Classification in Neuroimaging. IEEE Trans. Medical Imaging Jussi Tohka, Evgeny Krestyannikov, Ivo D. Dinov, Allan MacKenzie-Graham, David W. Shattuck, Ulla Ruotsalainen, Arthur W. Toga
2007	—	`conf`	Statistical Modeling of Attenuation-Corrected Pet Data with Application to Reconstruction of Regional Time Activity Curves. ISBI Evgeny Krestyannikov, Jussi Tohka, Ulla Ruotsalainen
2006	C	`conf`	Adaptive edge detection based on 3D kernel functions for biomedical image analysis. Image Processing: Algorithms and Systems Edisson Albán, Jussi Tohka, Ulla Ruotsalainen
2006	J	`jnl`	Robust Estimation of Bioaffinity Assay Fluorescence Signals. IEEE Trans. Inf. Technol. Biomed. Dimitris Glotsos, Jussi Tohka, Jori Soukka, Juhani T. Soini, Ulla Ruotsalainen
2006	—	`conf`	Segmentation of Dynamic Emission Tomography Data in Projection Space. CVAMIA Evgeny Krestyannikov, Jussi Tohka, Ulla Ruotsalainen
2006	—	`conf`	Unsupervised Segmentation of Cardiac PET Transmission Images for Automatic Heart Volume Extraction. EMBC Anu Juslin, Jussi Tohka
2005	—	`conf`	Assessment of Separation of Functional Components with ICA from Dynamic Cardiac Perfusion PET Phantom Images for Volume Extraction with Deformable Surface Models. FIMH Anu Juslin, Anthonin Reilhac, Margarita Magadán-Méndez, Edisson Albán, Jussi Tohka, Ulla Ruotsalainen
2005	J	`jnl`	Automated diagnosis of brain tumours astrocytomas using probabilistic neural network clustering and support vector machines. Int. J. Neural Syst. Dimitris Glotsos, Jussi Tohka, Panagiota Ravazoula, Dionisis A. Cavouras, George Nikiforidis
2005	J	`jnl`	Automatic extraction of brain surface and mid-sagittal plane from PET images applying deformable models. Comput. Methods Programs Biomed. Jouni M. Mykkänen, Jussi Tohka, Jouni Luoma, Ulla Ruotsalainen
2005	—	`conf`	Object-Oriented Implementation for the Dual Surface Minimisation Algorithm. MIE Jouni M. Mykkänen, Mikko Itäranta, Jussi Tohka
2004	J	`jnl`	Deformable Mesh For Automated Surface Extraction From Noisy Images. Int. J. Image Graph. Jussi Tohka, Jouni M. Mykkänen
2004	J	`jnl`	Fast and robust parameter estimation for statistical partial volume models in brain MRI. NeuroImage Jussi Tohka, Alex P. Zijdenbos, Alan C. Evans
2003	—	`conf`	Delineation of drain Structures from Positron Emission Tomography Images with Deformable Models. MIE Jouni M. Mykkänen, Jussi Tohka, Ulla Ruotsalainen
2003	—	`—`	Global optimization-based deformable meshes for surface extraction from medical images. Jussi Tohka
2002	—	`conf`	Surface Extraction from Volumetric Images Using Deformable Meshes: A Comparative Study. ECCV (3) Jussi Tohka
2001	Misc	`conf`	Global Optimization of Deformable Surface Meshes Based on Genetic Algorithms. ICIAP Jussi Tohka