Frank Li

Current Position

Postdoctoral Research Fellow
Department of Radiology and Imaging Sciences
Emory University School of Medicine
Advisor: Dr. Judy Gichoya

Research Interests

Biomedical imaging, deep learning, and computational fluid dynamics in lung health. Current focus: Identifying and mitigating healthcare AI bias.

Education

  • Ph.D., Biomedical Engineering, The University of Iowa, May 2023
    • Thesis: “Deep Learning of Lung Diseases on Computed Tomography Images”
    • Advisor: Dr. Ching-Long Lin
  • M.S., Biomedical Engineering, National Taiwan University, August 2014
    • Thesis: “Development and Validation of a Novel Self-Adaptive Growing Rod Instrumentation for Early Onset Scoliosis”
    • Advisor: Dr. Jaw-Lin Wang
  • B.S., Mechanical Engineering, National Chiao Tung University, June 2012

Research Experience

  1. Postdoctoral Research Fellow, Emory University School of Medicine (2023-present)

    • Department of Radiology and Imaging Sciences
    • Focus: Identifying and mitigating healthcare AI bias

  2. Graduate Research Assistant, The University of Iowa (2016-2023)

    • IIHR—Hydroscience & Engineering
    • Focus: Lung imaging analysis using deep learning techniques and lung airflow simulation using computational fluid dynamics

  3. Research Assistant, National Taiwan University (2015-2016)

    • Department of Biomedical Engineering
    • Responsibilities: Lab management and technical support

  4. Graduate Research Assistant, National Taiwan University (2012-2014)

    • Department of Biomedical Engineering
    • Focus: Development and mechanical testing of novel spinal implants

Publications

Refereed Publications

  1. Khosravi B, Li F, Dapamede T, Rouzrokh P, Gamble CU, Trivedi HM, Wyles CC, Sellergren AB, Purkayastha S, Erickson BJ, Gichoya JW. Synthetically enhanced: unveiling synthetic data’s potential in medical imaging research. eBioMedicine. 2024 Jun 1;104.

  2. Zhang X, Li F, Rajaraman PK, Comellas AP, Hoffman EA, Lin C-L. Investigating distributions of inhaled aerosols in the lungs of post-COVID-19 clusters through a unified imaging and modeling approach. European journal of pharmaceutical sciences 2024; : 106724.

  3. Li F, Zhang X, Comellas AP, Hoffman EA, Yang T, Lin C-L. Contrastive learning and subtyping of post-COVID-19 lung computed tomography images. Front Physiol 2022; 13: 999263.

  4. Zhang X, Li F, Rajaraman PK, Choi J, Comellas AP, Hoffman EA et al. A computed tomography imaging-based subject-specific whole-lung deposition model. European journal of pharmaceutical sciences 2022; 177: 106272.

  5. Li F, Choi J, Zhang X, Rajaraman PK, Lee C-H, Ko H et al. Characterizing Subjects Exposed to Humidifier Disinfectants Using Computed-Tomography-Based Latent Traits: A Deep Learning Approach. Int J Environ Res Public Health 2022; 19: 11894.

  6. Li F, Choi J, Zou C, Newell Jr JD, Comellas AP, Lee CH et al. Latent traits of lung tissue patterns in former smokers derived by dual channel deep learning in computed tomography images. Sci Rep 2021; 11: 4916.

  7. Zou C, Li F, Choi J, Haghighi B, Choi S, Rajaraman PK et al. Longitudinal imaging-based clusters in former smokers of the copd cohort associate with clinical characteristics: The subpopulations and intermediate outcome measures in copd study (spiromics). Int J Chron Obstruct Pulmon Dis 2021; : 1477–1496.

  8. Yang J-J, Li F, Hung K-C, Hsu S-H, Wang J-L. Intervertebral disc needle puncture injury can be repaired using a gelatin–poly (γ-glutamic acid) hydrogel: an in vitro bovine biomechanical validation. European Spine Journal 2018; 27: 2631–2638.

Preprints

  1. Li F, Zhang X, Comellas AP, Hoffman EA, Graham MM, Lin C-L. Exploratory Study on COPD Phenotypes and their Progression: Integrating SPECT and qCT Imaging Analysis. medRxiv 2024; : 2024.

  2. Khosravi B, Li F, Dapamede T, Rouzrokh P, Gamble CU, Trivedi HM et al. Synthetically Enhanced: Unveiling Synthetic Data’s Potential in Medical Imaging Research. arXiv preprint arXiv:231109402 2023.

Selected Abstracts (National and International Meetings)

  1. Li F, Dapamede T, Khosravi B, Trivedi H, Gichoya J. Exploring Model Localizability and the Impact of Pneumothorax Volume on AI Classification Models. SIIM 2024 Annual Meeting, National Harbor, MD, June 27th – 29th, 2024 (Oral)

  2. Dapamede T, Li F, Khosravi B, Purkayastha S, Trivedi H, Gichoya J. DICOM LUT is a Key Step in Medical Image Preprocessing Towards AI Generalizability. SIIM 2024 Annual Meeting, National Harbor, MD, June 27th – 29th, 2024 (Oral)

  3. Li F, Gichoya J, Dapamede T, Westney GE, Flenaugh E, Foreman MG. Impact of Social Determinants of Health on Accelerated Lung Function Decline. 2024 ATS International Conference, San Diego, CA, May 17th – 22nd, 2024 (Oral).

  4. Zhang X, Li F, Rajaraman PK, Comellas AP, Hoffman EA, Lin C-L. Quantitative Computed Tomography Based Cluster Informed Assessment of Airway Resistance and Particle Deposition in Post-COVID-19 Lungs. 2024 ATS International Conference, San Diego, CA, May 17th – 22nd, 2024 (Poster).

  5. Zhang X, Li F, Rajaraman PK, Comellas AP, Hoffman EA, Lin C-L. Subject Specific Assessment of Airway Resistance and Particle Deposition in Asthma and Chronic Obstructive Pulmonary Disease Patients Using a Computed Tomography Based Cluster Informed Approach. 2024 ATS International Conference, San Diego, CA, May 17th – 22nd, 2024 (Poster).

  6. Li F, Zhang X, Hoffman EA, Comellas AP, Graham MM, Lin C-L. Computed Tomography (CT)/Single-photon Emission Computerized Tomography (SPECT) Based Assessment of Chronic Obstructive Pulmonary Disease (COPD) Progression. 2023 ATS International Conference, Washington, D.C., May 19th – 24th, 2023 (Poster).

  7. Li F, Lin C-L. Removing the Foreground and Background of Chest X-rays using a Generative Adversarial Network (GAN). 2022 BMES Annual Meeting, San Antonio, TX, October 15th, 2022 (Oral).

  8. Choi J, Lee IK, Choi S, Li F, Lin C-L, Chae KJ et al. Environmental Exposure, Airway Narrowing, Fibrotic Lung Injury: Multiscale Quantitative CT and CFD Analysis. Bulletin of the American Physical Society 2022; 67.

  9. Li F, Choi J, Lee C, Hoffman EA, Comellas AP, Ko H et al. Identification of lung tissue patterns in subjects exposed to humidifier disinfectants using a convolutional deep learning model. 2020 ATS International Conference, Philadelphia, PA, May 15th – 20th, 2020 (Poster).

  10. Li F, Haghighi B, Choi J, Choi S, Hoffman EA, Comellas AP, Graham MM, Lin C-L. Correlation of SPECT-Based Ventilation Patterns with CT Image-Derived COPD Clusters. 2019 ATS International Conference, Dallas, TX, May 17th – 22nd, 2019 (Poster).

  11. Haghighi B, Choi S, Choi J, Li F, Hoffman EA, Comellas AP et al. Imaging-Based Cluster Analysis Using Novel Metrics in COPD for Sub-Phenotyping of Current Smokers: SPIROMICS. 2018 ATS International Conference, San Diego, CA, May 18th – 23rd, 2018 (Poster).

Additional Teaching Activities

  • Supervise undergraduate students in an undergraduate research program (2023-present)
  • Judge for undergraduate poster presentations at KSU’s Spring Analytics Day (2024)

Fellowships and Awards

  • T32 Fellowship with the Lung Imaging Training Program (LITP) (2019-2022) Roy J. Carver Department of Biomedical Engineering, The University of Iowa

  • Krishnan B. Chandran Graduate Student Travel Award (2021, 2022)
    Roy J. Carver Department of Biomedical Engineering, The University of Iowa