W Art Chaovalitwongse
Overview
Explore the profile of W Art Chaovalitwongse including associated specialties, affiliations and a list of published articles.
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14
Citations
115
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Recent Articles
1.
Alimohammadi M, Chaovalitwongse W, Vesselle H, Zhang S
Med Decis Making
. 2022 Dec;
43(1):110-124.
PMID: 36484571
Background: Lung volume reduction surgery (LVRS) and medical therapy are 2 available treatment options in dealing with severe emphysema, which is a chronic lung disease. However, or there are currently...
2.
Iranzad R, Liu X, Chaovalitwongse W, Hippe D, Wang S, Han J, et al.
IISE Trans Healthc Syst Eng
. 2022 Oct;
12(3):165-179.
PMID: 36311209
Boosting Trees are one of the most successful statistical learning approaches that involve sequentially growing an ensemble of simple regression trees ("weak learners"). This paper proposes a gradient Boosted Trees...
3.
Forouzannezhad P, Maes D, Hippe D, Thammasorn P, Iranzad R, Han J, et al.
Cancers (Basel)
. 2022 Mar;
14(5).
PMID: 35267535
Medical imaging provides quantitative and spatial information to evaluate treatment response in the management of patients with non-small cell lung cancer (NSCLC). High throughput extraction of radiomic features on these...
4.
Duan C, Chaovalitwongse W, Bai F, Hippe D, Wang S, Thammasorn P, et al.
Phys Med Biol
. 2020 Oct;
65(20):205007.
PMID: 33027064
We investigated the sensitivity of regional tumor response prediction to variability in voxel clustering techniques, imaging features, and machine learning algorithms in 25 patients with locally advanced non-small cell lung...
5.
Chen T, Chaovalitwongse W, OGrady M, Honda K
Health Care Manag Sci
. 2019 Jun;
23(2):171-172.
PMID: 31203495
No abstract available.
6.
Bowen S, Hippe D, Chaovalitwongse W, Duan C, Thammasorn P, Liu X, et al.
Clin Cancer Res
. 2019 May;
25(16):5027-5037.
PMID: 31142507
Purpose: Prediction of spatially variant response to cancer therapies can inform risk-adaptive management within precision oncology. We developed the "Voxel Forecast" multiscale regression framework for predicting spatially variant tumor response...
7.
Nyflot M, Thammasorn P, Wootton L, Ford E, Chaovalitwongse W
Med Phys
. 2018 Dec;
46(2):456-464.
PMID: 30548601
Purpose: Patient-specific quality assurance (QA) for intensity-modulated radiation therapy (IMRT) is a ubiquitous clinical procedure, but conventional methods have often been criticized as being insensitive to errors or less effective...
8.
Wootton L, Nyflot M, Chaovalitwongse W, Ford E
Int J Radiat Oncol Biol Phys
. 2018 Aug;
102(1):219-228.
PMID: 30102197
Purpose: To improve the detection of errors in intensity-modulated radiation therapy (IMRT) with a novel method that uses quantitative image features from radiomics to analyze gamma distributions generated during patient...
9.
Chaovalitwongse W, Won D, Seref O, Borghesani P, Askren M, Willis S, et al.
IEEE Trans Neural Syst Rehabil Eng
. 2017 Mar;
25(7):1079-1089.
PMID: 28287976
The rapid aging of the world's population is causing an increase in the prevalence of cognitive decline and degenerative brain disease in the elderly. Current diagnoses of amnestic and nonamnestic...
10.
Won D, Kim W, Chaovalitwongse W, Tsai J
Clin Neurophysiol
. 2017 Jan;
128(2):340-348.
PMID: 28056389
Objective: Visual hyperexcitability in the form of abnormal contrast gain control has been shown in photosensitive epilepsy and idiopathic generalized epilepsies. We assessed the accuracy and reliability of measures of...