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ORCIDThanongchai Siriapisith
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2020 – today
- 2024
[c2]Kiartnarin Udomlapsakul, Parinthapat Pengpun, Tossaporn Saengja, Kanyakorn Veerakanjana, Krittamate Tiankanon, Pitikorn Khlaisamniang, Pasit Supholkhan, Amrest Chinkamol, Pubordee Aussavavirojekul, Hirunkul Phimsiri, Tara Sripo, Chiraphat Boonnag, Trongtum Tongdee, Thanongchai Siriapisith, Pairash Saiviroonporn, Jiramet Kinchagawat, Piyalitt Ittichaiwong:
SICAR at RRG2024: GPU Poor's Guide to Radiology Report Generation. BioNLP@ACL 2024: 635-644- 2023
- [j10]Trongtum Tongdee, Worapan Kusakunniran
, Thanongchai Siriapisith, Pairash Saiviroonporn, Thanandon Imaromkul, Pakorn Yodprom:
Classification of chest radiography from general radiography using deep learning approach. ICT Express 9(3): 313-319 (2023) - [j9]Worapan Kusakunniran, Sarattha Kanchanapreechakorn, Thanongchai Siriapisith, Pairash Saiviroonporn:
Fast MRI reconstruction using StrainNet with dual-domain loss on spatial and frequency spaces. Intell. Syst. Appl. 18: 200203 (2023) - 2022
- [j8]Pairash Saiviroonporn, Suwimon Wonglaksanapimon, Warasinee Chaisangmongkon, Isarun Chamveha, Pakorn Yodprom, Krittachat Butnian, Thanogchai Siriapisith, Trongtum Tongdee:
A clinical evaluation study of cardiothoracic ratio measurement using artificial intelligence. BMC Medical Imaging 22(1): 46 (2022) - [j7]Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy:
A retrospective study of 3D deep learning approach incorporating coordinate information to improve the segmentation of pre- and post-operative abdominal aortic aneurysm. PeerJ Comput. Sci. 8: e1033 (2022) - [j6]Sarattha Kanchanapreechakorn, Worapan Kusakunniran, Thanongchai Siriapisith, Pairash Saiviroonporn:
Multi-level pooling encoder-decoder convolution neural network for MRI reconstruction. PeerJ Comput. Sci. 8: e934 (2022) - 2021
- [j5]Pairash Saiviroonporn, Kanchanaporn Rodbangyang, Trongtum Tongdee, Warasinee Chaisangmongkon, Pakorn Yodprom, Thanogchai Siriapisith, Suwimon Wonglaksanapimon, Phakphoom Thiravit:
Cardiothoracic ratio measurement using artificial intelligence: observer and method validation studies. BMC Medical Imaging 21(1): 95 (2021) - [j4]Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy:
A 3D deep learning approach to epicardial fat segmentation in non-contrast and post-contrast cardiac CT images. PeerJ Comput. Sci. 7: e806 (2021) - 2020
- [j3]Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy:
Pyramid graph cut: Integrating intensity and gradient information for grayscale medical image segmentation. Comput. Biol. Medicine 126: 103997 (2020)
2010 – 2019
- 2019
- [j2]Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy:
3D segmentation of exterior wall surface of abdominal aortic aneurysm from CT images using variable neighborhood search. Comput. Biol. Medicine 107: 73-85 (2019) - [i1]Dina B. Efremova, Dmitry A. Konovalov, Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy:
Automatic segmentation of kidney and liver tumors in CT images. CoRR abs/1908.01279 (2019) - 2018
- [j1]Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy:
Outer Wall Segmentation of Abdominal Aortic Aneurysm by Variable Neighborhood Search Through Intensity and Gradient Spaces. J. Digit. Imaging 31(4): 490-504 (2018) - [c1]Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy:
A General Approach to Segmentation in CT Grayscale Images using Variable Neighborhood Search. DICTA 2018: 1-7
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