Artit C. Jirapatnakul

Orcid: 0000-0003-2730-1615

According to our database1, Artit C. Jirapatnakul authored at least 19 papers between 2007 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2021
Radiomic texture analysis for the assessment of osteoporosis on low-dose thoracic CT scans.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020
Effect of observer variability and training cases on U-Net segmentation performance.
Proceedings of the Medical Imaging 2020: Image Perception, 2020

Cascade of U-Nets in the detection and classification of coronary artery calcium in thoracic low-dose CT.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2017
Identification of early-stage usual interstitial pneumonia from low-dose chest CT scans using fractional high-density lung distribution.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

A new method for predicting CT lung nodule volume measurement performance.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016
Automated pulmonary nodule CT image characterization in lung cancer screening.
Int. J. Comput. Assist. Radiol. Surg., 2016

2011
Segmentation of Juxtapleural Pulmonary Nodules Using a Robust Surface Estimate.
Int. J. Biomed. Imaging, 2011

Automated segmentation of the pulmonary arteries in low-dose CT by vessel tracking
CoRR, 2011

2010
A comparison of ground truth estimation methods.
Int. J. Comput. Assist. Radiol. Surg., 2010

2009
Identification of asymmetric pulmonary nodule growth using a moment-based algorithm.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Improved precision of repeat image change measurement of pulmonary nodules using moment-based z-compensation on a zero-change dataset.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

An analysis of two ground truth estimation methods.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Semi-Automated Measurement of Pulmonary Nodule Growth without Explicit Segmentation.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Characterization of pulmonary nodules: effects of size and feature type on reported performance.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Comparison of computer versus manual determination of pulmonary nodule volumes in CT scans.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

2007
Characterization of solid pulmonary nodules using three-dimensional features.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Prediction of tumor volumes using an exponential model.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Vessel Diameter Tracking in Intravital Microscopy Image Sequences.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Pulmonary Nodule Classification: Size Distribution Issues.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007


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