Dao Lam
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Explore the profile of Dao Lam including associated specialties, affiliations and a list of published articles.
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10
Citations
161
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Recent Articles
1.
Maraghechi B, Mazur T, Lam D, Price A, Henke L, Kim H, et al.
Adv Radiat Oncol
. 2023 Jan;
8(3):101138.
PMID: 36691450
Purpose: This study aimed to develop a routine quality assurance method for a dose accumulation technique provided by a radiation therapy platform for online treatment adaptation. Methods And Materials: Two...
2.
Chapman J, Lam D, Cai B, Hugo G
J Appl Clin Med Phys
. 2022 Jul;
23(8):e13702.
PMID: 35801266
Clinical implementation of online adaptive radiation therapy requires initial and ongoing performance assessment of the underlying auto-segmentation and adaptive planning algorithms, although a straightforward and efficient process for this in...
3.
Zhu L, Huang Y, Lam D, Gach H, Zoberi I, Hallahan D, et al.
Int J Hyperthermia
. 2021 Mar;
38(1):498-510.
PMID: 33757406
Purpose: To evaluate the targetability of late-stage cervical cancer by magnetic resonance-guided high-intensity focused ultrasound (MRgHIFU)-induced hyperthermia (HT) as an adjuvant to radiation therapy (RT). Methods: Seventy-nine cervical cancer patients...
4.
Peng J, Li H, Laugeman E, Mazur T, Lam D, Li T, et al.
Biomed Phys Eng Express
. 2021 Jan;
6(1):015025.
PMID: 33438613
We develop a fully automated QA process to compare the image quality of all kV CBCT protocols on a Halcyon linac with ring gantry design, and evaluate image quality stability...
5.
Zhu L, Lam D, Pacia C, Gach H, Partanen A, Talcott M, et al.
Int J Hyperthermia
. 2020 Oct;
37(1):1159-1173.
PMID: 33003967
Purpose: To characterize temperature fields and tissue damage profiles of large-volume hyperthermia (HT) induced by magnetic resonance-guided high-intensity focused ultrasound (MRgHIFU) in deep and superficial targets in a porcine model....
6.
Lam D, Zhang X, Li H, Deshan Y, Schott B, Zhao T, et al.
Med Phys
. 2019 Aug;
46(10):4666-4675.
PMID: 31386761
Purpose: Intensity-modulated radiation therapy (IMRT) quality assurance (QA) measurements are routinely performed prior to treatment delivery to verify dose calculation and delivery accuracy. In this work, we applied a machine...
7.
Sun B, Yang D, Lam D, Zhang T, Dvergsten T, Bradley J, et al.
Radiother Oncol
. 2018 Oct;
129(3):479-485.
PMID: 30314717
Purpose: To evaluate the feasibility of image-guided adaptive proton therapy (IGAPT) with a mobile helical-CT without rails. Method: CT images were acquired with a 32-slice mobile CT (mCT) scanning through...
8.
Yang J, Veeraraghavan H, Armato 3rd S, Farahani K, Kirby J, Kalpathy-Kramer J, et al.
Med Phys
. 2018 Aug;
45(10):4568-4581.
PMID: 30144101
Purpose: This report presents the methods and results of the Thoracic Auto-Segmentation Challenge organized at the 2017 Annual Meeting of American Association of Physicists in Medicine. The purpose of the...
9.
A machine learning approach to the accurate prediction of monitor units for a compact proton machine
Sun B, Lam D, Yang D, Grantham K, Zhang T, Mutic S, et al.
Med Phys
. 2018 Mar;
45(5):2243-2251.
PMID: 29500818
Purpose: Clinical treatment planning systems for proton therapy currently do not calculate monitor units (MUs) in passive scatter proton therapy due to the complexity of the beam delivery systems. Physical...
10.
Lam D, Wunsch D
IEEE Trans Cybern
. 2016 Jan;
47(1):224-231.
PMID: 26742156
Ever-increasing size and complexity of data sets create challenges and potential tradeoffs of accuracy and speed in learning algorithms. This paper offers progress on both fronts. It presents a mechanism...