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Does Differentially Private Synthetic Data Lead to Synthetic Discoveries?
Montoya Perez I, Movahedi P, Nieminen V, Airola A, Pahikkala T. Montoya Perez I, et al. Among authors: pahikkala t. Methods Inf Med. 2024 May;63(1-02):35-51. doi: 10.1055/a-2385-1355. Epub 2024 Aug 13. Methods Inf Med. 2024. PMID: 39137913 Free PMC article.
Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization.
Toivonen J, Montoya Perez I, Movahedi P, Merisaari H, Pesola M, Taimen P, Boström PJ, Pohjankukka J, Kiviniemi A, Pahikkala T, Aronen HJ, Jambor I. Toivonen J, et al. Among authors: pahikkala t. PLoS One. 2019 Jul 8;14(7):e0217702. doi: 10.1371/journal.pone.0217702. eCollection 2019. PLoS One. 2019. PMID: 31283771 Free PMC article. Clinical Trial.
Prostate Cancer Risk Stratification in Men With a Clinical Suspicion of Prostate Cancer Using a Unique Biparametric MRI and Expression of 11 Genes in Apparently Benign Tissue: Evaluation Using Machine-Learning Techniques.
Montoya Perez I, Jambor I, Pahikkala T, Airola A, Merisaari H, Saunavaara J, Alinezhad S, Väänänen RM, Tallgrén T, Verho J, Kiviniemi A, Ettala O, Knaapila J, Syvänen KT, Kallajoki M, Vainio P, Aronen HJ, Pettersson K, Boström PJ, Taimen P. Montoya Perez I, et al. Among authors: pahikkala t. J Magn Reson Imaging. 2020 May;51(5):1540-1553. doi: 10.1002/jmri.26945. Epub 2019 Oct 6. J Magn Reson Imaging. 2020. PMID: 31588660 Clinical Trial.
Fitting methods for intravoxel incoherent motion imaging of prostate cancer on region of interest level: Repeatability and gleason score prediction.
Merisaari H, Movahedi P, Perez IM, Toivonen J, Pesola M, Taimen P, Boström PJ, Pahikkala T, Kiviniemi A, Aronen HJ, Jambor I. Merisaari H, et al. Among authors: pahikkala t. Magn Reson Med. 2017 Mar;77(3):1249-1264. doi: 10.1002/mrm.26169. Epub 2016 Feb 28. Magn Reson Med. 2017. PMID: 26924552 Free article.
58 results