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Artit C. Jirapatnakul
Researcher at Icahn School of Medicine at Mount Sinai
Publications - 43
Citations - 590
Artit C. Jirapatnakul is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Lung cancer & Nodule (medicine). The author has an hindex of 12, co-authored 39 publications receiving 462 citations. Previous affiliations of Artit C. Jirapatnakul include Cornell University.
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Journal ArticleDOI
Low-Dose CT Screening for Lung Cancer: Computer-aided Detection of Missed Lung Cancers
Mingzhu Liang,Wei Tang,Dong Ming Xu,Artit C. Jirapatnakul,Anthony P. Reeves,Claudia I. Henschke,David F. Yankelevitz +6 more
TL;DR: Computer-aided detection systems detected up to 70% of lung cancers that were not detected by the radiologist but failed to detect about 20% of the lung cancers when they were identified byThe radiologist, which suggests that CAD may be useful in the role of second reader.
Journal ArticleDOI
Lung Cancer Deaths in the National Lung Screening Trial Attributed to Nonsolid Nodules
Rowena Yip,David F. Yankelevitz,Minxia Hu,Kunwei Li,Dong Ming Xu,Artit C. Jirapatnakul,Claudia I. Henschke +6 more
TL;DR: It seems unlikely that patients with lung cancer as the COD occurred with solitary or dominant NSN as long as annual follow-up was performed, which lends further support that lung cancers that manifest as NSNs have an indolent course and can be managed with annual following-up.
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Coronary artery calcification on low-dose computed tomography: comparison of Agatston and Ordinal Scores.
Yu Maw Htwe,Matthew D. Cham,Claudia I. Henschke,Harvey S. Hecht,Joseph Shemesh,Mingzhu Liang,Mingzhu Liang,Wei Tang,Wei Tang,Artit C. Jirapatnakul,Rowena Yip,David F. Yankelevitz +11 more
TL;DR: The use of the Ordinal Score is readily obtained on low-dose CT scans that are used for CT screening for lung cancer and these scores are useful for risk stratification of coronary artery disease.
Journal ArticleDOI
Pulmonary nodule classification in lung cancer screening with three-dimensional convolutional neural networks.
TL;DR: The performance of the 3-D CNN model demonstrates the potential for improving the lung cancer screening follow-up protocol, which currently mainly depends on the nodule size.
Proceedings ArticleDOI
A public image database to support research in computer aided diagnosis
Anthony P. Reeves,Alberto Biancardi,David F. Yankelevitz,Sergei V. Fotin,Brad M. Keller,Artit C. Jirapatnakul,James Weifu Lee +6 more
TL;DR: The Public Lung Database to address drug response has been augmented to provide initial datasets for CAD research of other diseases and offers a starting point for other research groups wishing to pursue CAD research in new directions.