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Comparison of deep learning-based denoising methods in cardiac SPECT

Referentgranskad
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DOI
10.1186/s40658-023-00531-0
Sohlberg, Antti; Kangasmaa, Tuija; Constable, Chris; Tikkakoski, Antti;
EJNMMI physics2023Publicationer information ikon

Comparison of post reconstruction- and reconstruction-based deep learning denoising methods in cardiac SPECT

Referentgranskad
DOI
10.1088/2057-1976/acf66c
Sohlberg, Antti; Kangasmaa, Tuija; Tikkakoski, Antti;
Biomedical physics & engineering express2023Publicationer information ikon

Implementation of GPU accelerated SPECT reconstruction with Monte Carlo-based scatter correction

Referentgranskad
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DOI
10.1007/s12149-018-1252-1
Bexelius, Tobias; Sohlberg, Antti
Annals of nuclear medicine2018Publicationer information ikon

Comparison of deep learning-based denoising methods in cardiac SPECT

Referentgranskad
Sohlberg A; Kangasmaa T; Constable C; Tikkakoski A
Ejnmmi Physics2023Publicationer information ikon

Optimisation of reconstruction--reprojection-based motion correction for cardiac SPECT

Referentgranskad
Kangasmaa TS; Sohlberg AO
Annals of nuclear medicine2014Publicationer information ikon

A review of cardiac image registration methods

Referentgranskad
Mäkelä, Timo J.; Clarysse, Patrick; Sipilä, Outi; Pauna, Nicoleta; Pham, Quoc Cuong; Katila, Toivo; ...
IEEE Transactions on Medical Imaging2002Publicationer information ikon

Methodological aspects for improving clinical value of SPECT and MRI

Sipilä, O.
Unknown Publisher2000Publicationer information ikon

Quantitative Monte Carlo-based brain dopamine transporter SPECT imaging

Referentgranskad
DOI
10.1007/s12149-020-01532-0
Kangasmaa, Tuija; Hippeläinen, Eero; Constable, Chris; Turunen, Sampsa; Sohlberg, Antti
Annals of nuclear medicine2021Publicationer information ikon

Quantitative bone SPECT/CT reconstruction utilizing anatomical information

Referentgranskad
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DOI
10.1186/s40658-020-00348-1
Kangasmaa, Tuija S.; Constable, Chris; Sohlberg, Antti O.
EJNMMI Physics2021Publicationer information ikon

Registration and display of brain SPECT and MRI using external markers.

Referentgranskad
Pohjonen, H.; Nikkinen, P.; Sipilä, O.; Launes, J.; Salli, E.; Salonen, O.; Karp, P.; Ylä-Jääski, J....
Neuroradiology1996

Comparison of deep learning-based denoising methods in cardiac SPECT

Referentgranskad
Öppen tillgång
DOI
10.1186/s40658-023-00531-0
2023

Comparison of post reconstruction- and reconstruction-based deep learning denoising methods in cardiac SPECT

Referentgranskad
DOI
10.1088/2057-1976/acf66c
2023

Implementation of GPU accelerated SPECT reconstruction with Monte Carlo-based scatter correction

Referentgranskad
Öppen tillgång
DOI
10.1007/s12149-018-1252-1
2018

Comparison of deep learning-based denoising methods in cardiac SPECT

Referentgranskad
2023

Optimisation of reconstruction--reprojection-based motion correction for cardiac SPECT

Referentgranskad
2014

A review of cardiac image registration methods

Referentgranskad
2002

Methodological aspects for improving clinical value of SPECT and MRI

2000

Quantitative Monte Carlo-based brain dopamine transporter SPECT imaging

Referentgranskad
DOI
10.1007/s12149-020-01532-0
2021

Quantitative bone SPECT/CT reconstruction utilizing anatomical information

Referentgranskad
Öppen tillgång
DOI
10.1186/s40658-020-00348-1
2021

Registration and display of brain SPECT and MRI using external markers.

Referentgranskad
1996