Ghulam Mubashar Hassan
Overview
Explore the profile of Ghulam Mubashar Hassan including associated specialties, affiliations and a list of published articles.
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Articles
13
Citations
69
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Recent Articles
11.
Kendrick J, Francis R, Hassan G, Rowshanfarzad P, Ong J, Ebert M
Eur J Nucl Med Mol Imaging
. 2022 Aug;
50(1):67-79.
PMID: 35976392
Purpose: This study aimed to develop and assess an automated segmentation framework based on deep learning for metastatic prostate cancer (mPCa) lesions in whole-body [Ga]Ga-PSMA-11 PET/CT images for the purpose...
12.
Rusanov B, Hassan G, Reynolds M, Sabet M, Kendrick J, Rowshanfarzad P, et al.
Med Phys
. 2022 Jul;
49(9):6019-6054.
PMID: 35789489
The use of deep learning (DL) to improve cone-beam CT (CBCT) image quality has gained popularity as computational resources and algorithmic sophistication have advanced in tandem. CBCT imaging has the...
13.
Wright B, Hassan G, Mukwada G, Ebert M, Goodall S, Sabet M, et al.
Biomed Phys Eng Express
. 2022 Jan;
6(6).
PMID: 35046147
In radiotherapy treatments utilizing accelerator gantry rotation, gantry-mounted kilovoltage (kV) imaging systems have become integral to treatment verification. The accuracy of such verification depends on the stability of the imaging...
14.
Kendrick J, Francis R, Hassan G, Rowshanfarzad P, Jeraj R, Kasisi C, et al.
Front Oncol
. 2021 Nov;
11:771787.
PMID: 34790581
Metastatic Prostate Cancer (mPCa) is associated with a poor patient prognosis. mPCa spreads throughout the body, often to bones, with spatial and temporal variations that make the clinical management of...
15.
Rusanov B, Ebert M, Mukwada G, Hassan G, Sabet M
Phys Med Biol
. 2021 Sep;
66(21).
PMID: 34534979
Extending cone-beam CT (CBCT) use toward dose accumulation and adaptive radiotherapy (ART) necessitates more accurate HU reproduction since cone-beam geometries are heavily degraded by photon scatter. This study proposes a...