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All papers authored by Daniel McGowan

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2017 Ian S. Armstrong, Katharine E. Thomson, Lisa M. Rowley, Daniel R. McGowan

ORCID

Harmonizing standardized uptake value recovery between two PET/CT systems from different manufacturers when using resolution modelling and time-of-flight:

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Jim O’ Doherty, Daniel R. McGowan

ORCID

, Carla Abreu, Sally Barrington

Erratum to: Effect of Bayesian-penalized likelihood reconstruction on [13N]-NH3 rest perfusion quantification

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This paper is available in a repository.

Nicholas C. D. Morley

ORCID

, Daniel R. McGowan

ORCID

, Fergus V. Gleeson, Kevin M. Bradley

Software Respiratory Gating of Positron Emission Tomography–Computed Tomography Improves Pulmonary Nodule Detection

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

2016 Daniel McGowan

ORCID

Software Respiratory Gating of PET/CT Improves Pulmonary Nodule Detection.

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

Daniel McGowan

ORCID

Optimization of image reconstruction for yttrium-90 SIRT on a LYSO PET/CT system using a Bayesian penalized likelihood reconstruction algorithm.

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Jim O’ Doherty, Carla Abreu, Daniel R. McGowan

ORCID

, Sally Barrington

ORCID

Effect of Bayesian-penalized likelihood reconstruction on [13N]-NH3 rest perfusion quantification.

Download from doi.org

This paper is made freely available by the publisher.

Eugene J. Teoh, Kevin M. Bradley, Daniel R. McGowan

ORCID

, Elizabeth Belcher, Alastair Moore, Edward Black, Annemarie Sykes, Fergus V. Gleeson

18F-FDG PET/CT assessment of histopathologically confirmed mediastinal lymph nodes in non-small cell lung cancer using a penalised likelihood reconstruction

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This paper was not found in any repository, but could be made available legally by the author.

2015 Nassim Parvizi, James M. Franklin, Daniel R. McGowan

ORCID

, Eugene J. Teoh, Kevin M. Bradley, Fergus V. Gleeson

Does a novel penalized likelihood reconstruction of 18F-FDG PET-CT improve signal-to-background in colorectal liver metastases?

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E. J. Teoh, D. R. Mcgowan

ORCID

, R. E. Macpherson, K. M. Bradley, F. V. Gleeson

Phantom and Clinical Evaluation of the Bayesian Penalized Likelihood Reconstruction Algorithm Q.Clear on an LYSO PET/CT System

Download from jnm.snmjournals.org

This paper is available in a repository.

Eugene J. Teoh, Kevin M. Bradley, Daniel R. McGowan

ORCID

, Elizabeth Belcher, Edward Black, Fergus V. Gleeson

Novel penalised likelihood reconstruction of PET in the assessment of histologically verified small pulmonary nodules

Download from www.researchgate.net

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D. R. McGowan

ORCID

, M. J. Guy

Time to demand dosimetry for molecular radiotherapy?

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