Thanongchai Siriapisith
Overview
Explore the profile of Thanongchai Siriapisith including associated specialties, affiliations and a list of published articles.
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26
Citations
58
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Recent Articles
1.
Sutassananon K, Kusakunniran W, Orgun M, Siriapisith T
Sci Rep
. 2024 Sep;
14(1):21459.
PMID: 39271825
Data augmentation is a technique usually deployed to mitigate the possible performance limitation from training a neural network model on a limited dataset, especially in the medical domain. This paper...
2.
Leeraha C, Kusakunniran W, Yodrabum N, Chaisrisawadisuk S, Vathanophas V, Siriapisith T
Sci Rep
. 2024 Aug;
14(1):19671.
PMID: 39181978
The automatic segmentation of the pharyngeal airway space has many potential medical use, one of which is to help facilitate the creation of the Tubingen Palatal Plate. Therefore, it is...
3.
Chuchalerm N, Sawangtong W, Wiwatanapataphee B, Siriapisith T
Math Biosci Eng
. 2022 Aug;
19(9):9550-9570.
PMID: 35942772
This paper proposes a novel mathematical model of non-Newtonian blood flow and heat transfer in the human coronary system with an external magnetic field. As the blood viscosity is assumed...
4.
Siriapisith T, Kusakunniran W, Haddawy P
PeerJ Comput Sci
. 2022 Jul;
8:e1033.
PMID: 35875647
Abdominal aortic aneurysm (AAA) is one of the most common diseases worldwide. 3D segmentation of AAA provides useful information for surgical decisions and follow-up treatment. However, existing segmentation methods are...
5.
Karnjanapreechakorn S, Kusakunniran W, Siriapisith T, Saiviroonporn P
PeerJ Comput Sci
. 2022 May;
8:e934.
PMID: 35494819
MRI reconstruction is one of the critical processes of MRI machines, along with the acquisition. Due to a slow processing time of signal acquiring, parallel imaging and reconstruction techniques are...
6.
Siriapisith T, Kusakunniran W, Haddawy P
PeerJ Comput Sci
. 2022 Jan;
7:e806.
PMID: 34977354
Epicardial fat (ECF) is localized fat surrounding the heart muscle or myocardium and enclosed by the thin-layer pericardium membrane. Segmenting the ECF is one of the most difficult medical image...
7.
Kusakunniran W, Karnjanapreechakorn S, Siriapisith T, Borwarnginn P, Sutassananon K, Tongdee T, et al.
J Med Imaging (Bellingham)
. 2021 Jan;
8(Suppl 1):014001.
PMID: 33457446
The outbreak of COVID-19 or coronavirus was first reported in 2019. It has widely and rapidly spread around the world. The detection of COVID-19 cases is one of the important...
8.
Siriapisith T, Kusakunniran W, Haddawy P
Comput Biol Med
. 2020 Sep;
126:103997.
PMID: 32987203
Segmentation of grayscale medical images is challenging because of the similarity of pixel intensities and poor gradient strength between adjacent regions. The existing image segmentation approaches based on either intensity...
9.
Siriapisith T, Kusakunniran W, Haddawy P
Comput Biol Med
. 2019 Feb;
107:73-85.
PMID: 30782525
A 3D model of abdominal aortic aneurysm (AAA) can provide useful anatomical information for clinical management and simulation. Thin-slice contiguous computed tomographic (CT) angiography is the best source of medical...
10.
Siriapisith T, Kusakunniran W, Haddawy P
J Digit Imaging
. 2018 Jan;
31(4):490-504.
PMID: 29352385
Aortic aneurysm segmentation remains a challenge. Manual segmentation is a time-consuming process which is not practical for routine use. To address this limitation, several automated segmentation techniques for aortic aneurysm...