Works matching AU Pesola, Marko
Results: 14
Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization.
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- PLoS ONE, 2019, v. 14, n. 7, p. 1, doi. 10.1371/journal.pone.0217702
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- Article
Prospective evaluation of F-FACBC PET/CT and PET/MRI versus multiparametric MRI in intermediate- to high-risk prostate cancer patients (FLUCIPRO trial).
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- European Journal of Nuclear Medicine & Molecular Imaging, 2018, v. 45, n. 3, p. 355, doi. 10.1007/s00259-017-3875-1
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- Article
Relaxation Along a Fictitious Field, continuous wave T1rho, adiabatic T1rho and adiabatic T2rho imaging of human gliomas at 3T: A feasibility study.
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- PLoS ONE, 2024, v. 19, n. 4, p. 1, doi. 10.1371/journal.pone.0296958
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- Article
Whole Brain Adiabatic T<sub>1rho</sub> and Relaxation Along a Fictitious Field Imaging in Healthy Volunteers and Patients With Multiple Sclerosis: Initial Findings.
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- Journal of Magnetic Resonance Imaging, 2021, v. 54, n. 3, p. 866, doi. 10.1002/jmri.27586
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- Article
Whole Brain Adiabatic T<sub>1rho</sub> and Relaxation Along a Fictitious Field Imaging in Healthy Volunteers and Patients With Multiple Sclerosis: Initial Findings.
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- Journal of Magnetic Resonance Imaging, 2021, v. 54, n. 3, p. spcone, doi. 10.1002/jmri.27231
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- Article
Optimization of b-value distribution for biexponential diffusion-weighted MR imaging of normal prostate.
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- Journal of Magnetic Resonance Imaging, 2014, v. 39, n. 5, p. 1213, doi. 10.1002/jmri.24271
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Serum levels of GFAP and EGFR in primary and recurrent high-grade gliomas: correlation to tumor volume, molecular markers, and progression-free survival.
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- Journal of Neuro-Oncology, 2015, v. 124, n. 2, p. 237, doi. 10.1007/s11060-015-1829-7
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Repeatability of radiomics and machine learning for DWI: Short‐term repeatability study of 112 patients with prostate cancer.
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- Magnetic Resonance in Medicine, 2020, v. 83, n. 6, p. 2293, doi. 10.1002/mrm.28058
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Fitting methods for intravoxel incoherent motion imaging of prostate cancer on region of interest level: Repeatability and gleason score prediction.
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- Magnetic Resonance in Medicine, 2017, v. 77, n. 3, p. 1249, doi. 10.1002/mrm.26169
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Relaxation along fictitious field, diffusion-weighted imaging, and T<sub>2</sub> mapping of prostate cancer: Prediction of cancer aggressiveness.
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- Magnetic Resonance in Medicine, 2016, v. 75, n. 5, p. 2130, doi. 10.1002/mrm.25808
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- Article
Rotating Frame Relaxation Imaging of Prostate Cancer: Repeatability, Cancer Detection, and Gleason Score Prediction.
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- Magnetic Resonance in Medicine, 2016, v. 75, n. 1, p. 337, doi. 10.1002/mrm.25647
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- Article
Mathematical models for diffusion-weighted imaging of prostate cancer using b values up to 2000 s/mm<sup>2</sup>: Correlation with Gleason score and repeatability of region of interest analysis.
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- Magnetic Resonance in Medicine, 2015, v. 74, n. 4, p. 1116, doi. 10.1002/mrm.25482
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Evaluation of different mathematical models for diffusion-weighted imaging of normal prostate and prostate cancer using high b-values: A repeatability study.
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- Magnetic Resonance in Medicine, 2015, v. 73, n. 5, p. 1988, doi. 10.1002/mrm.25323
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- Article
Prediction of prostate cancer aggressiveness using 18F-Fluciclovine (FACBC) PET and multisequence multiparametric MRI.
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- Scientific Reports, 2020, v. 10, n. 1, p. 1, doi. 10.1038/s41598-020-66255-8
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- Article