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Department of Biomedical Informatics
School of Medicine and College of Engineering and Applied Sciences

Research

Research Highlights

Journal Publications

  1. ECCV 2022 - Learning Topological Interactions for Multi-Class Medical Image Segmentation (Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin*, Mutshipay Mpoy*, Katherine Chung, Gagandeep Singh, Mary Saltz, Tahsin Kurc, Joel Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen).
  2. RSNA 2022 - Topology-aware Aortic Lumen and Wall Segmentation on Computed Tomography Scans (Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin*, Mutshipay Mpoy*, Katherine Chung, Mary Saltz, Tahsin Kurc, Joel Saltz, Apostolos Tassiopoulos, Chao Chen, Prateek Prasanna).
  3. ARRS 2022 - Prediction of adverse outcomes after surgical excision of extremity malignant soft tissue tumors using Radiomics (Max Hao*, Connor Cowan, Mutshipay Mpoy*, Sahil Rawal, Elaine Gould, Daichi Hayashi, Prateek Prasanna).
  4. Jin, M.X.*, Rajan, S., Bicas, C.E.G., Hao, M.*, Dong, L., Mufson, B. and Hafiz, I., 2021. Novel Validated Index for the Measurement of Disinformation Susceptibility at the County Level. Cureus, 13(5).
  5. Payne, D.L., Purohit, K*., Borrero, W.M., Chung, K., Hao, M.*, Mpoy, M.*, Jin, M*., Prasanna, P. and Hill, V., 2024. Performance of GPT-4 on the American College of Radiology In-training Examination: Evaluating Accuracy, Model Drift, and Fine-tuning. Academic Radiology.
  6. Young, A., Tan, K., Tariq, F., Jin, M.* and Bluestone, A.Y., 2024. Rogue AI: Cautionary Cases in Neuroradiology and What We Can Learn From Them. Cureus, 16(3).
  7. Gupta, S., Hu, X., Kaan, J., Jin, M.*, Mpoy, M.*, Chung, K., Singh, G., Saltz, M., Kurc, T., Saltz, J. and Tassiopoulos, A., 2022, October. Learning topological interactions for multi-class medical image segmentation. In European Conference on Computer Vision (pp. 701-718). Cham: Springer Nature Switzerland.
  8. Pollack EB, Abbey G, DuCharme P, Durand MA, Elahi A, Elezaby MA, Farooq A, Kelil T, Jin M*, Lugossy AM, Mango VL. Developing Breast Imaging Services in Low-Resource Settings. Applied Radiology. 2022 Mar 1;51(2):28-32.
  9. Mackow J, Jin M*, Choi Y, Myer A, Naser-Tavakolian K, Gupta A, Baker K, Ferretti J, Gould E, Goolsarran N. A Comprehensive Approach to Improvements in Interdepartmental Communication and Workflow Between IR and General Medicine. American Journal of Medical Quality. 2022 May 1;37(3):276-7. PMID: 35500163

Oral/Poster Presentations

  1. Gupta S, Xiao L, Kaan J, Jin MX*, et al. Topology-aware Aortic Lumen and Wall Segmentation on Computed Tomography Scans. Oral presentation at: 2022 Radiological Society of North America Annual Meeting; December 1st, 2022; Chicago, Illinois. Session Number: R2-SPC
  2. Jin MX*, et al. Evaluating the Efficacy of AI-Assisted Voice-to-Text Radiology Reporting: A Comparative Analysis of GPT-4 and Radiologist Impressions. Poster presentation at: SIIM24; June 27th, 2024; National Harbor, MD.
  3. Jin, MX*, et al. Streamlining Radiology Reporting: A Hands-Free Approach with Voice-to-Text and Generative AI. Poster Presentation at: 2024 American College of Radiology (ACR) Annual Meeting; April 13-17, 2024. Washington, DC.
  4. Payne DL, Purohit K*, Borrero WM, Chung K, Hao M*, Mpoy M*, Jin M*, et al. Testing a Popular Large Language Model on Image Rich Diagnostic Radiology Board Exam Practice Questions. Poster Presentation at: 2024 American College of Radiology (ACR) Annual Meeting; April 13-17, 2024. Washington, DC.
  5. Jin MX*, et al. Improving Portable Chest X-ray Image Quality via Targeted Radiology Technologist Intervention. Poster presentation at: 2023 Quality & Safety + Informatics Conference; October 24th, 2023; San Diego, California.
  6. Jin MX*, et al. Enhancing Radiology Communication for Timely Conveyance of Critical Findings in Emergency Department. Poster presentation at: 2023 Quality & Safety + Informatics Conference; October 24th, 2023; San Diego, California.
  7. Young A., Islam A., Ma S., Phi A., Singh S., Jin MX*. Assessment of TikTok as a Health Information Source on Hepatitis B Virus. Poster presentation at: 2023 National APAMSA Conference - RENEWAL: Out of the Flames, Into the Future; March 4th, 2023; Portland, OR.
  8. Jin MX*, Norelli J, Payne D, et al. Learning from Machines: A Resident's Guide to AI Mistakes in Neuroradiology and What Residents Can Learn from Them. Poster presentation at: 2022 Radiological Society of North America Annual Meeting; November 29th, 2022; Chicago, Illinois. Abstract ID#: 13102
  9. Jin MX*, Myer A, Bright R, et al. Generation and Implementation of Inter-Departmental Workflow Interventions between Interventional Radiology and Medicine. Poster presentation at: 2021 Radiological Society of North America Annual Meeting; November 30th, 2021; Chicago, Illinois. Session#: QI03-A
  10. Hao M, Cowan C, Bae J, Mpoy MC*, Hayashi D, Gould ES, Prasanna P. Prediction of adverse outcomes after surgical excision of extremity malignant soft tissue tumors using Radiomics. Scientific Presentation. ARRS Annual Meeting, April 2023, Honolulu, HI
  11. Hao M*, Cowan C, Bae J, Mpoy MC*, Hayashi D, Gould ES, Prasanna P. Prediction of adverse outcomes after surgical excision of extremity malignant soft tissue tumors using Radiomics. Scientific Presentation. Society of Skeletal Radiology Annual Meeting, March 2023, Savannah, GA

[* denotes Informatics fellows]