Brian M Anderson
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Explore the profile of Brian M Anderson including associated specialties, affiliations and a list of published articles.
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37
Citations
553
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Recent Articles
1.
Covington E, Suresh K, Anderson B, Barker M, Dess K, Price J, et al.
J Appl Clin Med Phys
. 2024 May;
25(6):e14359.
PMID: 38689502
Purpose: AAPM Task Group No. 263U1 (Update to Report No. 263 - Standardizing Nomenclatures in Radiation Oncology) disseminated a survey to receive feedback on utilization, gaps, and means to facilitate...
2.
Anderson B, Padilla L, Ryckman J, Covington E, Hong D, Woods K, et al.
Int J Radiat Oncol Biol Phys
. 2023 Oct;
118(3):859-863.
PMID: 37778423
Purpose: Consistency of nomenclature within radiation oncology is increasingly important as big data efforts and data sharing become more feasible. Automation of radiation oncology workflows depends on standardized contour nomenclature...
3.
Gay S, Kisling K, Anderson B, Zhang L, Rhee D, Nguyen C, et al.
J Appl Clin Med Phys
. 2023 Sep;
24(12):e14131.
PMID: 37670488
Purpose: Two-dimensional radiotherapy is often used to treat cervical cancer in low- and middle-income countries, but treatment planning can be challenging and time-consuming. Neural networks offer the potential to greatly...
4.
Lin Y, Paolucci I, OConnor C, Anderson B, Rigaud B, Fellman B, et al.
Radiology
. 2023 Jan;
307(2):e221373.
PMID: 36719291
Background Confirming ablation completeness with sufficient ablative margin is critical for local tumor control following colorectal liver metastasis (CLM) ablation. An image-based confirmation method considering patient- and ablation-related biomechanical deformation...
5.
McCulloch M, Cazoulat G, Svensson S, Gryshkevych S, Rigaud B, Anderson B, et al.
Front Oncol
. 2022 Nov;
12:1015608.
PMID: 36408172
Purpose: Discrepancies between planned and delivered dose to GI structures during radiation therapy (RT) of liver cancer may hamper the prediction of treatment outcomes. The purpose of this study is...
6.
Rigaud B, Weaver O, Dennison J, Awais M, Anderson B, Chiang T, et al.
Cancers (Basel)
. 2022 Oct;
14(20).
PMID: 36291787
Recently, convolutional neural network (CNN) models have been proposed to automate the assessment of breast density, breast cancer detection or risk stratification using single image modality. However, analysis of breast...
7.
Lin Y, Paolucci I, Anderson B, OConnor C, Rigaud B, Briones-Dimayuga M, et al.
Cardiovasc Intervent Radiol
. 2022 Sep;
45(12):1860-1867.
PMID: 36058995
Purpose: This study aims to evaluate the intra-procedural use of a novel ablation confirmation (AC) method, consisting of biomechanical deformable image registration incorporating AI-based auto-segmentation, and its impact on tumor...
8.
Anderson B, Rigaud B, Lin Y, Kyle Jones A, Kang H, Odisio B, et al.
Front Oncol
. 2022 Aug;
12:886517.
PMID: 36033508
Objectives: Colorectal cancer (CRC), the third most common cancer in the USA, is a leading cause of cancer-related death worldwide. Up to 60% of patients develop liver metastasis (CRLM). Treatments...
9.
He Y, Anderson B, Cazoulat G, Rigaud B, Almodovar-Abreu L, Pollard-Larkin J, et al.
Med Phys
. 2022 Aug;
50(1):323-329.
PMID: 35978544
Background: Successful generation of biomechanical-model-based deformable image registration (BM-DIR) relies on user-defined parameters that dictate surface mesh quality. The trial-and-error process to determine the optimal parameters can be labor-intensive and...
10.
Wahid K, He R, McDonald B, Anderson B, Salzillo T, Mulder S, et al.
Phys Imaging Radiat Oncol
. 2021 Dec;
20:88-93.
PMID: 34849414
Background And Purpose: Conventional magnetic resonance imaging (MRI) poses challenges in quantitative analysis because voxel intensity values lack physical meaning. While intensity standardization methods exist, their effects on head and...