David Minarik
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- 2021
-
Post-reconstruction enhancement of [18F]FDG PET images with a convolutional neural network
Ly, John LU ; Minarik, David LU ; Jögi, Jonas LU
; Wollmer, Per
LU
and Trägårdh, Elin
LU
(2021)
In EJNMMI Research
11(1).
Mark
- 2020
- Evaluation of 18F-FDG uptake in lung parenchyma compensating for tissue fraction : Comparison between non-enhanced low dose CT and intravenous contrast-enhanced diagnostic CT
- Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network : A Monte Carlo Simulation Approach
- Optimization of [18F]PSMA-1007 PET-CT using regularized reconstruction in patients with prostate cancer
- Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truth
- 2019
-
Impact of penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm for
18
F-fluorocholine PET-CT regarding image quality and interpretation
Bjöersdorff, Mimmi LU
; Oddstig, Jenny
LU
; Karindotter-Borgendahl, Nina
; Almquist, Helén
LU
; Zackrisson, Sophia
LU
; Minarik, David
LU
and Trägårdh, Elin
LU
(2019)
In EJNMMI Physics
6(1).
Mark
- Measurement of airway inflammation in current smokers by positron emission tomography
-
Comparison of conventional and Si-photomultiplier-based PET systems for image quality and diagnostic performance
Oddstig, Jenny LU ; Leide Svegborn, Sigrid LU ; Almquist, Helen LU ; Bitzén, Ulrika LU ; Garpered, Sabine LU ; Hedeer, Fredrik LU ; Hindorf, Cecilia LU ; Jögi, Jonas LU
; Jönsson, Lena
LU
and Minarik, David
LU
, et al.
(2019)
In BMC Medical Imaging
19(1).
Mark
- Impact of acquisition time and penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm on a Si-photomultiplier-based PET-CT system for 18F-FDG
- The use of a proposed updated EARL harmonization of 18F-FDG PET-CT in patients with lymphoma yields significant differences in Deauville score compared with current EARL recommendations