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Wookjin Choi edited this page Aug 28, 2019 · 7 revisions

Radiomics tools

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Image processing tools and ruffus based pipeline for radiomics feature analysis

README README in repo

Publications

Radiomics studies

  1. Wookjin Choi, Jung Hun Oh, Sadegh Riyahi, Chia-Ju Liu, Feng Jiang, Wengen Chen, Charles White, Andreas Rimner, James G. Mechalakos, Joseph O. Deasy, and Wei Lu, “Radiomics analysis of pulmonary nodules in low-dose CT for early detection of lung cancer”, Medical Physics, Vol. 45, No. 4, pp. 1537-1549, April 2018. https://doi.org/10.1002/mp.12820
  2. Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Hualiang Zhong, Abraham J Wu, James G Mechalakos, Wei Lu, “Quantifying local tumor morphological changes with Jacobian map for prediction of pathologic tumor response to chemo-radiotherapy in locally advanced esophageal cancer”, Physics in Medicine and Biology, Vol. 63, No. 14, 145020 (13pp), July 2018. https://doi.org/10.1088/1361-6560/aacd22
  3. Wookjin Choi, Sadegh Riyahi, Seth J. Kligerman, Chia-Ju Liu, James G. Mechalakos and Wei Lu, “Technical Note: Identification of Normal Lung CT Texture Features Robust to Tumor Size for the Prediction of Radiation-Induced Lung Disease”, International Journal of Medical Physics, Clinical Engineering and Radiation Oncology, Vol.7 No.3, Paper ID 86485, pp. 330-338, August 2018. https://doi.org/10.4236/ijmpcero.2018.73027

Contour tools

  1. Jingjing Zhang, Svetlana Markova, Alejandro Garcia, Kirk Huang, Xingyu Nie, Wookjin Choi, Wei Lu, Abraham Wu, Andreas Rimner, “Evaluation of automatic contour propagation in T2-weighted 4DMRI for normal-tissue motion assessment using internal organ-at-risk volume (IRV)”, Journal of Applied Clinical Medical Physics, August 2018. https://doi.org/10.1002/acm2.12431
  2. Wookjin Choi, M Xue, B Lane, M Kang, K Patel, W Regine, P Klahr, J Wang, S Chen, W D’Souza, W Lu, “Individually Optimized Contrast-Enhanced 4D-CT for Radiotherapy Simulation in Pancreatic Ductal Adenocarcinoma”, Medical Physics, Vol. 43, No. 10, pp. 5659-5666, October 2016. https://doi.org/10.1118/1.4963213
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