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- Julia Vehkaoja, Dynaamisen PET-aineiston spektraalianalyysista (Spectral analysis of dynamic PET data), work in progress.
- Fatemeh Salehi, Generative AI in Protein Design, work in progress.
- Erica Eshun, Investigating the impact of Per and Poly fluoroalkyls on Goldeneye development and morphometrics Using Computerized tomography Imaging, Deep learning models and Ecotoxicological Studies, work in progress.
- Anna Kostiander, Characterisation of a-Al203 thin films, work in progress.
- N. M., Cardiac Motion Correction Methods in 15O-water PET Images, work in progress.
- Joanna Okenwa, Automatic Estimation of Brain Tumor (Glioma) Volume Using VNET convolutional Neural Network, work in progress.
- Rida Rehman, Improving Tumor Segmentation in PET Images using Transfer Learning between Head and Neck and Prostate Cancer Datasets, work in progress.
- Abu Bakar Shoukat, Vision Transformers for Processing PET Images in Head and Neck Cancer, work in progress.
- Puja Dhakal: Early detection of Alzheimer’s disease using motion data, 2025.
- Mahnoor, Data Augmentation with Conditional Generative Adversarial Networks (cGANs) for Deep Learning-based Classification of Brain Tumor Magnetic Resonance Images, 2025.
- Jussi Tirkkonen, Implementation of a monitoring add-on for oxygen-15 labelled water administration system in PET/CT, 2025.
- Lenni Sibelius, Pieneläin PET/TT-analysointiohjelmiston päivittäminen ja validointi, 2025.
- Naipunya Guruprasad, An investigation of the diversity of outcomes along with machine learning in the prediction of ischemia using PET cardiac perfusion imaging, 2024.
- Kaushalya Ramanayake Mudiyanselage, Machine Learning-Based Tissue Probability Attenuation Correction for Neurological PET/MR, 2024
- Maria Virtanen, Parameter errata in flexible myocardial PET protocol compared to conventional fixed ones, 2023
- Johanna Hällilä, Cross-calibration of human PET scanners with phantom studies, 2023
- Muhammad Hassan Nawaz, Automatic identification of ischemia using lightweight attention network in PET cardiac perfusion imaging, 2023
- Malik Azhar, on going, Evaluation of automated organ segmentation for total-body PET-CT, 2023
- Anting Li, Performance Analysis of Clustering Algorithms in Brain Tumor Detection from PET Images, 2023
- Santeri Palonen, Koko kehon PET-kuvien automaattinen segmentointi, 2023
- Seyed Hosseini, Applying Transfer Learning in Classification of Ischemia from Myocardial Polar Maps in PET Cardiac Perfusion Imaging, 2022
- Maria Rantala, Modelling kidney with compartment models from PET images, 2022
- Oona Rainio, Correlation, mutual information and neural networks, 2021
- Henri Hellström, Koneoppiminen pään ja kaulan alueen syövän tunnistamisessa, 2021
- Heli Junes, Evaluation of Scan 4000 Ultra-HD automatic colony counter, 2021
- Jonne Tamminen, Kalliorakotunnistuksen automatisointi, 2020
- Suvi Oikarainen, Pienemmistä ja suuremmista epäyhtälöistä, 2018
- Johannes Hurtig, Peruslaskutoimitukset ja prosenttilaskenta lukion matematiikassa, 2016
- Pauliina Hämäläinen, Aritmeettinen ja formaalisti esitetty lukujono lukion matematiikassa, 2016
- Antti Pikkarainen, Funktion jatkuvuus ja raja-arvo lukiolaiselle, 2015
- Elina Mahnala, Johdatus tekniikan alan ammattikorkeakoulumatematiikkaan ammatillisen perustutkinnon suorittaneille, 2014
- Anna Mäkipää, Optimointia lukiolaiselle Sage-ohjelmistolla, 2014
- Marika Hietanen, Newtonin menetelmä ja Sage-ohjelmisto, 2014
- Jani Linden, Positroniemissiotomografian rekonstruktioalgoritmeista ja niiden simulaatiotutkimuksista, 2013
- Tiina Kilpi, Symbolisten laskinten käyttö ylioppilaskokeissa, 2013
- Yrjö Korenius, Lukion pitkän matematiikan geometriaa GeoGebralla, 2013
- Minna Rautell, Numeerista matematiikkaa GeoGebralla, 2013
- Marko Telenius, Symboliset laskimet lukion pitkän matematiikan opetuksessa, 2013
- Maija Sjövall, Lukion matematiikkaa GeoGebralla, 2012
- Piia Muuttonen, Analyyttista geometriaa GeoGebralla , 2012
- Ali Bhayo Barkat, Conformal Invariants, 2008