Profile

Wookjin Choi, Ph.D.

Assistant Professor of Radiation Oncology
Computational Healthcare & Oncology Informatics Lab
Sidney Kimmel Medical College at Thomas Jefferson University
Email: Wookjin.Choi@jefferson.edu, wchoi1022@gmail.com

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  • Research Area
    • Medical Image Analysis
    • Radiomics/Computer-Aided Diagnosis
    • Machine learning and Deep learning
  • Selected Publications [Google Scholar][Scopus]
    1. Jung Hun Oh, Wookjin Choi, Euiseong Ko, Mingon Kang, Allen Tannenbaum, Joseph O Deasy, “PathCNN: interpretable convolutional neural networks for survival prediction and pathway analysis applied to glioblastoma”, Bioinformatics, Volume 37, Issue Supplement_1, July 2021, Pages i443–i450, the first two authors should be regarded as Joint First Authors. doi.org/10.1093/bioinformatics/btab285, Codes
    2. Wookjin Choi, Saad Nadeem, Sadegh Riyahi, Joseph O. Deasy, Allen Tannenbaum, Wei Lu, “Reproducible and Interpretable Spiculation Quantification for Lung Cancer Screening”, Computer Methods and Programs in Biomedicine 200, 105839, March 2021, doi:10.1016/j.cmpb.2020.105839 Slides
    3. Sanghoon Lee, Colton Farley, Simon Shim, Yanjun Zhao, Wookjin Choi, Wook-Sung Yoo, “Unsupervised Learning of Deep-Learned Features from Breast Cancer Images”, arXiv:2006.11843 [eess.IV], IEEE BIBE 2020, Oct 27, 2020.
    4. Noemi Garau, Chiara Paganelli, Paul Summers, Wookjin Choi Sadegh Alam, Wei Lu, Cristiana Fanciullo, Massimo Bellomi, Guido Baroni, Cristiano Rampinelli, “External validation of radiomics-based predictive models in low-dose CT screening for early lung cancer diagnosis”, Medical Physics, First published:02 June 2020. doi:10.1002/mp.14308
    5. 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. doi:10.1002/mp.12820 Selected as an Editor’s Pick Slides
    6. 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. doi:10.1118/1.4963213  Selected as Today’s Science Sparks of MSKCC Library (10/17/2016) Slides Animation Poster
    7. Wookjin Choi, Tae-Sun Choi, “Automated Pulmonary Nodule Detection based on Three-dimensional Shape-based Feature Descriptor”, Computer Methods and Programs in Biomedicine, Vol. 113, No. 1, pp. 37–54, January 2014. doi:10.1016/j.cmpb.2013.08.015
    8. Wookjin Choi, Tae-Sun Choi, “Genetic Programming-based feature transform and classification for the automatic detection of pulmonary nodules on computed tomography images”, Information Sciences, Vol. 212, pp. 57-78, December 2012. doi:10.1016/j.ins.2012.05.008
  • Pending publications
    1. Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham Wu, James Mechalakos, Joseph Deasy, Wei Lu, “Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response”, arXiv:1808.08312[cs.CV], August 2018.
    2. Wookjin Choi, C Liu, S Riyahi Alam, J Oh, P Adusumilli, W Weber, J Deasy, W Lu, “Identification of early-stage lung adenocarcinoma with aggressive histopathologic subtypes using FDG-PET and CT radiomic features”, Under review
  • Research Grants and Contracts
    • 1/2022 –  12/2025 080-34000-N39801 PI: Wookjin Choi
      “Computational development for MRI-Linac”
      ViewRay Technologies, Inc.
      Total Direct Costs:        $368,182
    • 1/2022 – 1/2024 SKCC Research Grant PI: Wookjin Choi
      “Interpretable Predictive Models for Radiation Therapy”
      Sidney Kimmel Cancer Center at Thomas Jefferson University Hospital
      Total Direct Costs:        $140,000

    • 5/2021 – 5/2022 W911NF2110280 PI: Wookjin Choi
      “Acquisition of a GPU- Accelerated Deep-Learning Research Cluster”
      DoD Research and Education Program for HBCU/MI Equipment/Instrumentation
      Total Direct Costs:        $588,244
    • 7/2020 – 7/2021 CCAM E-055  PI: Wookjin Choi
      “A Robust Human Action Recognition System using Multi-View Depth Videos for Safe and Reliable Human-Robot Interactions in a Mixed Reality Environment”
      Innovation Fund, VSU & Commonwealth Center for Advanced Manufacturing (CCAM)
      Total Direct Costs:          $50,000
    • 11/2013 – 7/2014 NRF-2013R1A1-A2058113  PI: Wookjin Choi 
      “3D Image Analysis for Computer Aided Diagnosis in Lung CT Image”
      Basic Science Research Program, National Research Foundation of Korea (Similar to K99/R00)
      Total Direct Costs:          $39,000
    • 12/2013 – 12/2014 2013RS-03-00000-P-00173  PI: Wookjin Choi founded QuaLIA, Inc.
      “A System for Computer-Aided Detection of Pulmonary Disease” 
      Start-up Seed Grant, Small and Medium Business Administration of Korea (Similar to SBIR)
      Total Direct Costs:          $90,000
  • Teaching
    • CSCI 150/151 Programming I & Lab (Fall 2020)
    • CSCI 281 Discrete Structures (Spring 2020, Spring 2021)
    • CSCI 287 Data Structures (Fall 2019, Fall 2020)
    • CSCI 392 Algorithms and Adv. Data Structures (Fall 2019, Spring 2021)
    • CSCI 445 Computer Communications Network (Fall 2020)
    • CSCI 471 Parallel and Distributed Programming (Fall 2021)
    • CSCI 493 Senior Project I (Spring 2020, Spring 2021)
    • CSCI 494 Senior Project II (Fall 2019, Fall 2020)
    • CSCI 545 Advanced Data Communications (Fall 2020)
    • CSCI 592 Adv. Algorithms (Spring 2020, Spring 2021)
    • CSCI 643 Spe. Top.: Intro. to Machine Learning (Spring 2021)
    • CSCI 640 Spe. Top.: Intro. to Deep Learning (Fall 2021)

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