Artit C. Jirapatnakul, Ph.D.

Affiliations: 
2013 Electrical and Computer Engineering Cornell University, Ithaca, NY, United States 
Area:
Electronics and Electrical Engineering, Computer Engineering, Biomedical Engineering
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"Artit Jirapatnakul"

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Anthony P. Reeves grad student 2013 Cornell
 (Automated methods for pulmonary nodule growth rate measurement: Early computer-aided diagnosis of lung cancer from computed tomography images.)
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Publications

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Zhu Y, Yip R, Jirapatnakul AC, et al. (2024) Visual scoring of osteoporosis on low-dose CT in lung cancer screening population. Clinical Imaging. 109: 110115
Avila RS, Krishnan K, Obuchowski N, et al. (2023) Calibration phantom-based prediction of CT lung nodule volume measurement performance. Quantitative Imaging in Medicine and Surgery. 13: 6193-6204
Lam S, Wynes MW, Connolly C, et al. (2023) The IASLC Early Lung Imaging Confederation (ELIC) Open-Source Deep Learning and Quantitative Measurement Initiative. Journal of Thoracic Oncology : Official Publication of the International Association For the Study of Lung Cancer
Fuhrman J, Yip R, Zhu Y, et al. (2023) Evaluation of emphysema on thoracic low-dose CTs through attention-based multiple instance deep learning. Scientific Reports. 13: 1187
Yip R, Jirapatnakul A, Hu M, et al. (2021) Added benefits of early detection of other diseases on low-dose CT screening. Translational Lung Cancer Research. 10: 1141-1153
Zhu Y, Yip R, Shemesh J, et al. (2020) Combined aortic valve and coronary artery calcifications in lung cancer screening as predictors of death from cardiovascular disease. European Radiology
Henschke CI, Yip R, Shaham D, et al. (2020) The Regimen of Computed Tomography Screening for Lung Cancer: Lessons Learned Over 25 Years From the International Early Lung Cancer Action Program. Journal of Thoracic Imaging
Zhu Y, Wang Y, Gioia WE, et al. (2020) Visual scoring of aortic valve calcifications on low-dose CT in lung cancer screening. European Radiology
Jirapatnakul A, Reeves AP, Lewis S, et al. (2019) Automated measurement of liver attenuation to identify moderate-to-severe hepatic steatosis from chest CT scans. European Journal of Radiology. 122: 108723
Henschke C, Reeves A, Avila R, et al. (2019) OA06.03 An Open Source Lung Screening Management System Journal of Thoracic Oncology. 14: S220-S221
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