Mikael Anttinen
0000-0002-9351-7177
Turku University Hospital
6 papers found
Refreshing results…
New method of using a convolutional neural network for 2D intraprostatic tumor segmentation from PET images
Deep learning prediction of non-perfused volume without contrast agents during prostate ablation therapy
Palliative MRI-guided transurethral ultrasound ablation for symptomatic locally advanced prostate cancer
A Prospective Comparison of 18F-prostate-specific Membrane Antigen-1007 Positron Emission Tomography Computed Tomography, Whole-body 1.5 T Magnetic Resonance Imaging with Diffusion-weighted Imaging, and Single-photon Emission Computed Tomography/Computed Tomography with Traditional Imaging in Primary Distant Metastasis Staging of Prostate Cancer (PROSTAGE)
Feasibility of MRI-guided transurethral ultrasound for lesion-targeted ablation of prostate cancer
Histopathological evaluation of prostate specimens after thermal ablation may be confounded by the presence of thermally-fixed cells
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