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Artit C. Jirapatnakul

Ph.D. Candidate
Vision and Image Analysis Group
School of Electrical and Computer Engineering
Cornell University

357 Rhodes Hall
Ithaca, NY 14850
(607) 255-0963

 Artit pic

Brief Biography:

BS EE, 2005 (Pennsylvania State University)

Artit Jirapatnakul is a graduate student at Cornell University in the School of Electrical and Computer Engineering. He earned his BS at Pennsylvania State University in EE with a focus on signal processing. Artit works in the Vision and Image Analysis Research Group headed by Dr. Anthony Reeves.

Research Interests:

Artit is interested in the application of computer vision and machine learning algorithms to medical imaging.

Current Research Topic:

Artit is currently working on characterizing solid pulmonary nodules in CT scans. High-resolution CT scans have allowed the identification of possibly malignant nodules at a much earlier stage. Volumetric doubling time is an often used indicator of malignancy, but calculating the doubling time requires several CT scans in time progression. Characterization of nodules could lead to improved cancer detection rates and increase the chances of survival of lung cancer. Click here for more information about this research topic

Recent conference presentations:

  1. A. C. Jirapatnakul, A. P. Reeves, A. M. Biancardi, T. V. Apanasovich, D. F. Yankelevitz, and C. I. Henschke. A comparison of automated and manual methods for growth rate measurement of solid pulmonary nodules. RSNA Scientific Assembly and Annual Meeting, page 511, Nov 2007.
  2. A. Reeves, A. Jirapatnakul, T. Apanasovich, A. Biancardi, D. Yankelevitz, and C. Henschke. The performance of automated pulmonary nodule classification methods: size distribution issues. ESTI 15th annual meeting, June 2007.

Recent publications:

  1. A. C. Jirapatnakul, A. P. Reeves, T. V. Apanasovich, A. M. Biancardi, D. F. Yankelevitz, and C. I. Henschke. "Characterization of pulmonary nodules: Effects of size and feature type on reported performance," In SPIE International Symposium on Medical Imaging, Feb 2008.Link
  2. A. M. Biancardi, A. P. Reeves, A. C. Jirapatnakul, T. Apanasovitch, D. Yankelevitz, and C. I. Henschke. "Comparison of computer versus manual determination of pulmonary nodule volumes in CT scans," In SPIE International Symposium on Medical Imaging, Feb 2008. Link
  3. A. C. Jirapatnakul, A. P. Reeves, T. V. Apanasovich, A. M. Biancardi, D. F. Yankelevitz, and C. I. Henschke. "Pulmonary nodule classification: Size distribution issues," 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 1248-1251, April 2007. Link
  4. J. Lee, A. Jirapatnakul, A. Reeves, W. Crowe, and I. Sarelius. "Vessel diameter tracking in intravital microscopy image sequences," 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 360-363, April 2007. Link
  5. A. C. Jirapatnakul, A. P. Reeves, T. V. Apanasovich, M. D. Cham, D. F. Yankelevitz, and C. I. Henschke. "Characterization of solid pulmonary nodules using three-dimensional features." Medical Imaging 2007: Computer-aided Diagnosis, Proceedings of SPIE, vol. 6514, pp. 65143E, 2007.Link
  6. A. C. Jirapatnakul, A. P. Reeves, T. V. Apanasovich, M. D. Cham, D. F. Yankelevitz, and C. I. Henschke. "Prediction of tumor volumes using an exponential model." Medical Imaging 2007: Computer-aided Diagnosis, Proceedings of SPIE, vol. 6514, pp. 65143A, 2007. Link