M. Pesola

University of Turku — Finland

Engineering · Physical Sciences

20h-index1.3kcitations57works0.72yr avg
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Research Topics

Semiconductor materials and devices(16), Silicon and Solar Cell Technologies(14), Prostate Cancer Diagnosis and Treatment(11), MRI in cancer diagnosis(11), Radiomics and Machine Learning in Medical Imaging(10)

Publications57 total

An Information-Theoretic Paradigm in Modelling Diffusion-Weighted Imaging of Prostate Cancer: EDDIE (Entropy of Divergence of DWI Decay Curve)
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2024
Radiomics-optimized MRI: Evaluation of keyhole technique to prostate cancer DWI
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2024
Relaxation Along a Fictitious Field, continuous wave T1rho, adiabatic T1rho and adiabatic T2rho imaging of human gliomas at 3T: A feasibility study
PLoS ONE·2024· 2 citedOpen Access
Detection of IDH mutation in brain tumors using RAFF, continues wave T1rho, adiabatic T1rho, adiabatic T2rho and high b-value DWI
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2023
Whole Brain Adiabatic T<sub>1rho</sub> and Relaxation Along a Fictitious Field Imaging in Healthy Volunteers and Patients With Multiple Sclerosis: Initial Findings
Journal of Magnetic Resonance Imaging·2021Open Access
Whole Brain Adiabatic T<sub>1rho</sub> and Relaxation Along a Fictitious Field Imaging in Healthy Volunteers and Patients With Multiple Sclerosis: Initial Findings
Journal of Magnetic Resonance Imaging·2021· 1 cited
Prediction of prostate cancer aggressiveness using 18F-Fluciclovine (FACBC) PET and multisequence multiparametric MRI
Scientific Reports·2020· 7 citedOpen Access
Validation of automated magnetic resonance image segmentation for radiation therapy planning in prostate cancer
Physics and Imaging in Radiation Oncology·2020· 20 citedOpen Access
Repeatability of radiomics and machine learning for DWI: Short‐term repeatability study of 112 patients with prostate cancer
Magnetic Resonance in Medicine·2019· 36 citedOpen Access
Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization
PLoS ONE·2019· 111 citedOpen Access
Assessment of dosimetric and positioning accuracy of a magnetic resonance imaging-only solution for external beam radiotherapy of pelvic anatomy
Physics and Imaging in Radiation Oncology·2019· 31 citedOpen Access
Prospective evaluation of 18F-FACBC PET/CT and PET/MRI versus multiparametric MRI in intermediate- to high-risk prostate cancer patients (FLUCIPRO trial)
European Journal of Nuclear Medicine and Molecular Imaging·2017· 70 cited
MR signal-fat-fraction analysis and T2* weighted imaging measure BAT reliably on humans without cold exposure
Metabolism·2017· 58 citedOpen Access
Diffusion weighted imaging of prostate cancer: Prediction of cancer using texture features from parametric maps of the monoexponential and kurtosis functions
2016· 8 cited
Fitting methods for intravoxel incoherent motion imaging of prostate cancer on region of interest level: Repeatability and gleason score prediction
Magnetic Resonance in Medicine·2016· 58 citedOpen Access
Diffusion weighted imaging of prostate cancer: Prediction of cancer using texture features from parametric maps of the monoexponential and kurtosis functions
IEEE Conference Proceedings·2016· 1 cited
前立腺癌の拡散強調画像:単一指数および尖度関数のパラメトリックマップからのテクスチャ特徴を用いた癌の予測【Powered by NICT】
IEEE Conference Proceedings·2016
Diffusion-weighted imaging of prostate cancer: effect of b-value distribution on repeatability and cancer characterization
Magnetic Resonance Imaging·2015· 29 cited
Relaxation along fictitious field, diffusion-weighted imaging, and T<sub>2</sub>mapping of prostate cancer: Prediction of cancer aggressiveness
Magnetic Resonance in Medicine·2015· 16 citedOpen Access
Serum levels of GFAP and EGFR in primary and recurrent high-grade gliomas: correlation to tumor volume, molecular markers, and progression-free survival
Journal of Neuro-Oncology·2015· 48 cited
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Frequent Co-authors

Harri Merisaari(18), J. von Boehm(18), Hannu J. Aronen(17), Ivan Jambor(16), Pekka Taimen(13), Peter J. Boström(13), R. M. Nieminen(11), Heikki Minn(9), R. M. Nieminen(9), Tapio Pahikkala(6), Timo Liimatainen(6), Jussi Toivonen(5), Ileana Montoya Perez(5), Parisa Movahedi(5), Aida Kiviniemi(5), T. Mattila(5), Jani Saunavaara(5), S. Pöykkö(3), Anna Kuisma(3), Jukka Kemppainen(3)