{"id":150,"date":"2021-10-04T20:50:16","date_gmt":"2021-10-04T17:50:16","guid":{"rendered":"https:\/\/users.utu.fi\/ripekl\/?page_id=150"},"modified":"2026-09-03T07:36:29","modified_gmt":"2026-09-03T04:36:29","slug":"msc-students","status":"publish","type":"page","link":"https:\/\/users.utu.fi\/ripekl\/index\/teaching\/msc-students\/","title":{"rendered":"MSc students"},"content":{"rendered":"
    \n
  1. Fatemeh Salehi, Generative AI in Protein Design, work in progress.<\/li>\n
  2. Anna Kostiander, Characterisation of a-Al203 thin films, work in progress.<\/li>\n
  3. N. M., Cardiac Motion Correction Methods in 15O-water PET Images, work in progress.<\/li>\n
  4. 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, 2026. https:\/\/urn.fi\/URN:NBN:fi-fe2026060564336<\/a><\/li>\n
  5. Joanna Okenwa, Automatic Estimation of Brain Tumor (Glioma) Volume Using VNET convolutional Neural Network, 2026. https:\/\/urn.fi\/URN:NBN:fi-fe2026052251982<\/a><\/li>\n
  6. Rida Rehman, Improving Head and Neck Tumor Segmentation in PET Images using Transfer Learning, 2026. https:\/\/urn.fi\/URN:NBN:fi-fe2026060864876<\/a><\/li>\n
  7. Abu Bakar Shoukat, Vision Transformers for Processing PET Images in Head and Neck Cancer, 2026. https:\/\/urn.fi\/URN:NBN:fi-fe2026052352551<\/a><\/li>\n
  8. Julia Vehkaoja, Koko kehon PET-kuvien spektraalianalyysi, 2026. https:\/\/urn.fi\/URN:NBN:fi-fe2026061570087<\/a><\/li>\n
  9. Hassan Mehdi, Evaluating Machine Learning Performance Across Clinical Polysomnography (PSG) and Wearable IoT Sleep Data: Feature Reduction and Harmonization Analysis, 2026. https:\/\/urn.fi\/URN:NBN:fi:jyu-202606105432<\/a><\/li>\n
  10. Puja Dhakal. Early detection of Alzheimer’s disease using motion data, 2025. https:\/\/urn.fi\/URN:NBN:fi-fe20251104105128<\/a><\/li>\n
  11. Mahnoor, Data Augmentation with Conditional Generative Adversarial Networks (cGANs) for Deep Learning-based Classification of Brain Tumor Magnetic Resonance Images, 2025. https:\/\/urn.fi\/URN:NBN:fi-fe2025061064831<\/a><\/li>\n
  12. Jussi Tirkkonen, Implementation of a monitoring add-on for oxygen-15 labelled water administration system in PET\/CT, 2025. https:\/\/urn.fi\/URN:NBN:fi-fe2025050234954<\/a><\/li>\n
  13. Lenni Sibelius, Pienel\u00e4in PET\/TT-analysointiohjelmiston p\u00e4ivitt\u00e4minen ja validointi, 2025. https:\/\/urn.fi\/URN:NBN:fi-fe2025042933554<\/a><\/li>\n
  14. Naipunya Guruprasad, An investigation of the diversity of outcomes along with machine learning in the prediction of ischemia using PET cardiac perfusion imaging, 2024. https:\/\/urn.fi\/URN:NBN:fi-fe2024061753569<\/a><\/li>\n
  15. Kaushalya Ramanayake Mudiyanselage, Machine Learning-Based Tissue Probability Attenuation Correction for Neurological PET\/MR, 2024. https:\/\/urn.fi\/URN:NBN:fi-fe2024051329704<\/a><\/li>\n
  16. Maria Virtanen, Parameter errata in flexible myocardial PET protocol compared to conventional fixed ones, 2023. https:\/\/urn.fi\/URN:NBN:fi-fe20231213153990<\/a><\/li>\n
  17. Johanna H\u00e4llil\u00e4, Cross-calibration of human PET scanners with phantom studies, 2023. https:\/\/urn.fi\/URN:NBN:fi-fe20231204151102<\/a><\/li>\n
  18. Muhammad Hassan Nawaz, Automatic identification of ischemia using lightweight attention network in PET cardiac perfusion imaging, 2023. https:\/\/urn.fi\/URN:NBN:fi-fe2023062157514<\/a><\/li>\n
  19. Malik Azhar, on going, Evaluation of automated organ segmentation for total-body PET-CT, 2023. https:\/\/urn.fi\/URN:NBN:fi-fe2023051744843<\/a><\/li>\n
  20. Anting Li, Performance Analysis of Clustering Algorithms in Brain Tumor Detection from PET Images, 2023. https:\/\/urn.fi\/URN:NBN:fi-fe2023072690997<\/a><\/li>\n
  21. Santeri Palonen, Koko kehon PET-kuvien automaattinen segmentointi, 2023. https:\/\/urn.fi\/URN:NBN:fi-fe2023080994532<\/a><\/li>\n
  22. Seyed Hosseini, Applying Transfer Learning in Classification of Ischemia from Myocardial Polar Maps in PET Cardiac Perfusion Imaging, 2022. https:\/\/urn.fi\/URN:NBN:fi-fe2022060141638<\/a><\/li>\n
  23. Maria Rantala, Modelling kidney with compartment models from PET images, 2022. https:\/\/urn.fi\/URN:NBN:fi-fe2022021419014<\/a><\/li>\n
  24. Oona Rainio, Correlation, mutual information and neural networks, 2021. https:\/\/urn.fi\/URN:NBN:fi-fe2021100750090<\/a><\/li>\n
  25. Henri Hellstr\u00f6m, Koneoppiminen p\u00e4\u00e4n ja kaulan alueen sy\u00f6v\u00e4n tunnistamisessa, 2021. https:\/\/urn.fi\/URN:NBN:fi-fe2021100750144<\/a><\/li>\n
  26. Heli Junes, Evaluation of Scan 4000 Ultra-HD automatic colony counter, 2021. https:\/\/urn.fi\/URN:NBN:fi-fe2021043028148<\/a><\/li>\n
  27. Jonne Tamminen, Kalliorakotunnistuksen automatisointi, 2020. https:\/\/urn.fi\/URN:NBN:fi-fe2020101383846<\/a><\/li>\n
  28. Suvi Oikarainen, Pienemmist\u00e4 ja suuremmista ep\u00e4yht\u00e4l\u00f6ist\u00e4, 2018. https:\/\/urn.fi\/URN:NBN:fi-fe2018090534644<\/a><\/li>\n
  29. Johannes Hurtig, Peruslaskutoimitukset ja prosenttilaskenta lukion matematiikassa, 2016<\/li>\n
  30. Pauliina H\u00e4m\u00e4l\u00e4inen, Aritmeettinen ja formaalisti esitetty lukujono lukion matematiikassa, 2016<\/li>\n
  31. Antti Pikkarainen, Funktion jatkuvuus ja raja-arvo lukiolaiselle, 2015<\/li>\n
  32. Elina Mahnala, Johdatus tekniikan alan ammattikorkeakoulumatematiikkaan ammatillisen perustutkinnon suorittaneille, 2014<\/li>\n
  33. Anna M\u00e4kip\u00e4\u00e4, Optimointia lukiolaiselle Sage-ohjelmistolla, 2014<\/li>\n
  34. Marika Hietanen, Newtonin menetelm\u00e4 ja Sage-ohjelmisto, 2014<\/li>\n
  35. Jani Linden, Positroniemissiotomografian rekonstruktioalgoritmeista ja niiden simulaatiotutkimuksista, 2013<\/li>\n
  36. Tiina Kilpi, Symbolisten laskinten k\u00e4ytt\u00f6 ylioppilaskokeissa, 2013<\/li>\n
  37. Yrj\u00f6 Korenius, Lukion pitk\u00e4n matematiikan geometriaa GeoGebralla, 2013<\/li>\n
  38. Minna Rautell, Numeerista matematiikkaa GeoGebralla, 2013<\/li>\n
  39. Marko Telenius, Symboliset laskimet lukion pitk\u00e4n matematiikan opetuksessa, 2013<\/li>\n
  40. Maija Sj\u00f6vall, Lukion matematiikkaa GeoGebralla, 2012<\/li>\n
  41. Piia Muuttonen, Analyyttista geometriaa GeoGebralla , 2012<\/li>\n
  42. Ali Bhayo Barkat, Conformal Invariants, 2008<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

    Fatemeh Salehi, Generative AI in Protein Design, 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. Erica Eshun, Investigating the impact of Per and Poly fluoroalkyls on Goldeneye development and morphometrics Using Computerized tomography Imaging, Deep learning models […]<\/p>\n","protected":false},"author":600,"featured_media":0,"parent":60,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-150","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/users.utu.fi\/ripekl\/wp-json\/wp\/v2\/pages\/150","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/users.utu.fi\/ripekl\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/users.utu.fi\/ripekl\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/users.utu.fi\/ripekl\/wp-json\/wp\/v2\/users\/600"}],"replies":[{"embeddable":true,"href":"https:\/\/users.utu.fi\/ripekl\/wp-json\/wp\/v2\/comments?post=150"}],"version-history":[{"count":36,"href":"https:\/\/users.utu.fi\/ripekl\/wp-json\/wp\/v2\/pages\/150\/revisions"}],"predecessor-version":[{"id":724,"href":"https:\/\/users.utu.fi\/ripekl\/wp-json\/wp\/v2\/pages\/150\/revisions\/724"}],"up":[{"embeddable":true,"href":"https:\/\/users.utu.fi\/ripekl\/wp-json\/wp\/v2\/pages\/60"}],"wp:attachment":[{"href":"https:\/\/users.utu.fi\/ripekl\/wp-json\/wp\/v2\/media?parent=150"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}