Szmul A - Search Results

1

Deep learning based synthetic CT from cone beam CT generation for abdominal paediatric radiotherapy.

Szmul A, Taylor S, Lim P, Cantwell J, Moreira I, Zhang Y, D'Souza D, Moinuddin S, Gaze MN, Gains J, Veiga C. Szmul A, et al. Phys Med Biol. 2023 May 5;68(10):105006. doi: 10.1088/1361-6560/acc921. Phys Med Biol. 2023. PMID: 36996837 Free PMC article.

2

A multichannel feature-based approach for longitudinal lung CT registration in the presence of radiation induced lung damage.

Stavropoulou A, Szmul A, Chandy E, Veiga C, Landau D, McClelland JR. Stavropoulou A, et al. Among authors: szmul a. Phys Med Biol. 2021 Aug 27;66(17):175020. doi: 10.1088/1361-6560/ac1b1d. Phys Med Biol. 2021. PMID: 34352743 Free PMC article.

3

A Novel and Automated Approach to Classify Radiation Induced Lung Tissue Damage on CT Scans.

Szmul A, Chandy E, Veiga C, Jacob J, Stavropoulou A, Landau D, Hiley CT, McClelland JR. Szmul A, et al. Cancers (Basel). 2022 Mar 5;14(5):1341. doi: 10.3390/cancers14051341. Cancers (Basel). 2022. PMID: 35267649 Free PMC article.

4

Investigation of the evolution of radiation-induced lung damage using serial CT imaging and pulmonary function tests.

Veiga C, Chandy E, Jacob J, Yip N, Szmul A, Landau D, McClelland JR. Veiga C, et al. Among authors: szmul a. Radiother Oncol. 2020 Jul;148:89-96. doi: 10.1016/j.radonc.2020.03.026. Epub 2020 Mar 30. Radiother Oncol. 2020. PMID: 32344262 Free PMC article.

5

Quantitative Analysis of Radiation-Associated Parenchymal Lung Change.

Chandy E, Szmul A, Stavropoulou A, Jacob J, Veiga C, Landau D, Wilson J, Gulliford S, Fenwick JD, Hawkins MA, Hiley C, McClelland JR. Chandy E, et al. Among authors: szmul a. Cancers (Basel). 2022 Feb 14;14(4):946. doi: 10.3390/cancers14040946. Cancers (Basel). 2022. PMID: 35205693 Free PMC article.

6

In Silico Ventilation Within the Dose-Volume is Predictive of Lung Function Post-radiation Therapy in Patients with Lung Cancer.

Dong Y, Kumar H, Tawhai M, Veiga C, Szmul A, Landau D, McClelland J, Lao L, Burrowes KS. Dong Y, et al. Among authors: szmul a. Ann Biomed Eng. 2021 May;49(5):1416-1431. doi: 10.1007/s10439-020-02697-5. Epub 2020 Nov 30. Ann Biomed Eng. 2021. PMID: 33258090 Free PMC article. Clinical Trial.

7

Patch-based lung ventilation estimation using multi-layer supervoxels.

Szmul A, Matin T, Gleeson FV, Schnabel JA, Grau V, Papież BW. Szmul A, et al. Comput Med Imaging Graph. 2019 Jun;74:49-60. doi: 10.1016/j.compmedimag.2019.04.002. Epub 2019 Apr 5. Comput Med Imaging Graph. 2019. PMID: 31009928

8

Supervoxels for Graph Cuts-Based Deformable Image Registration Using Guided Image Filtering.

Szmul A, Papież BW, Hallack A, Grau V, Schnabel JA. Szmul A, et al. J Electron Imaging. 2017 Oct 4;26(6):061607. doi: 10.1117/1.JEI.26.6.061607. J Electron Imaging. 2017. PMID: 29225433 Free PMC article.

9

Simulation of a new respiratory phase sorting method for 4D-imaging using optical surface information towards precision radiotherapy.

Dong Z, Yu S, Szmul A, Wang J, Qi J, Wu H, Li J, Lu Z, Zhang Y. Dong Z, et al. Among authors: szmul a. Comput Biol Med. 2023 Aug;162:107073. doi: 10.1016/j.compbiomed.2023.107073. Epub 2023 May 27. Comput Biol Med. 2023. PMID: 37290392 Free PMC article.

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