Year |
Citation |
Score |
2023 |
Pillai M, Shumway JW, Adapa K, Dooley J, McGurk R, Mazur LM, Das SK, Chera BS. Augmenting Quality Assurance Measures in Treatment Review with Machine Learning in Radiation Oncology. Advances in Radiation Oncology. 8: 101234. PMID 37205277 DOI: 10.1016/j.adro.2023.101234 |
0.411 |
|
2019 |
Mullins BT, McGurk R, McLeod RW, Lindsay D, Amos A, Gu D, Chera BS, Marks L, Das S, Mazur L. Human Error Bowtie Analysis to Enhance Patient Safety in Radiation Oncology. Practical Radiation Oncology. PMID 31323384 DOI: 10.1016/J.Prro.2019.06.022 |
0.398 |
|
2019 |
Das SK, McGurk R, Miften M, Sasa M, Bowsher J, Bayouth J, Erdi Y, Mawlawi O, Boellaard R, Bowen SR, Xing L, Bradley J, Schoder H, Yin FF, Sullivan DC, et al. Task Group 174 Report: Utilization of [ F]Fluorodeoxyglucose Positron Emission Tomography ([ F]FDG-PET) in Radiation Therapy. Medical Physics. PMID 31230358 DOI: 10.1002/Mp.13676 |
0.513 |
|
2015 |
McGurk R, Schreiber E, Das S, Zagar T, Green R, Lawrence M, Sheikh A, McCartney W, Rivera P, Marks L. TU-G-BRA-01: Assessing Radiation-Induced Reductions in Regional Lung Perfusion Following Stereotactic Radiotherapy for Lung Cancer. Medical Physics. 42: 3630. PMID 26129051 DOI: 10.1118/1.4925751 |
0.47 |
|
2013 |
McGurk R, Smith V, Bowsher J, Lee J, Das S. TH-C-WAB-08: Modeling of the Dice Coefficient for PET Segmentation Studies. Medical Physics. 40: 538. PMID 28517873 DOI: 10.1118/1.4815765 |
0.566 |
|
2013 |
McGurk RJ, Smith VA, Bowsher J, Lee JA, Das SK. Influence of filter choice on 18F-FDG PET segmentation accuracy determined using generalized estimating equations. Physics in Medicine and Biology. 58: 3517-34. PMID 23632261 DOI: 10.1088/0031-9155/58/11/3517 |
0.576 |
|
2013 |
McGurk RJ, Bowsher J, Lee JA, Das SK. Combining multiple FDG-PET radiotherapy target segmentation methods to reduce the effect of variable performance of individual segmentation methods. Medical Physics. 40: 042501. PMID 23556917 DOI: 10.1118/1.4793721 |
0.581 |
|
2012 |
McGurk R, Bowsher J, Smith V, Lee J, Das S. MO-G-BRA-01: Optimal Image Filtration Strategies for PET Segmentation Medical Physics. 39: 3881-3881. DOI: 10.1118/1.4735846 |
0.539 |
|
2012 |
McGurk R, Das S. PET Tumor Volume Segmentation: A Comparison of Automated Versus Oncologist Drawn Volumes International Journal of Radiation Oncology*Biology*Physics. 84: S793-S794. DOI: 10.1016/J.Ijrobp.2012.07.2122 |
0.558 |
|
2011 |
McGurk R, Smith T, Das S. TU-C-211-12: Performance of a Novel Region Growing Segmentation Method for Nuclear Medicine Medical Physics. 38: 3762-3762. DOI: 10.1118/1.3613159 |
0.597 |
|
2011 |
McGurk R, Smith T, Das S. Performance of a Novel Region Growing Technique for Nuclear Medicine Image Segmentation International Journal of Radiation Oncology*Biology*Physics. 81: S733. DOI: 10.1016/J.Ijrobp.2011.06.1307 |
0.527 |
|
2010 |
McGurk R, Seco J, Riboldi M, Wolfgang J, Segars P, Paganetti H. Extension of the NCAT phantom for the investigation of intra-fraction respiratory motion in IMRT using 4D Monte Carlo. Physics in Medicine and Biology. 55: 1475-90. PMID 20157230 DOI: 10.1088/0031-9155/55/5/014 |
0.361 |
|
2008 |
McGurk R, Riboldi M, Seco J, Paganetti H, Wolfgang J, Chen G. SU-GG-T-317: Impact of Tumor Motion and Size in the Irradiation of Moving Tumors in Step-And-Shoot IMRT: A NCAT Based 4D Monte Carlo Simulation Study Medical Physics. 35: 2798-2798. DOI: 10.1118/1.2962069 |
0.33 |
|
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