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      • Cardiovascular Sciences Center
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      • Wake Forest Institute for Regenerative Medicine (WFIRM)
      • View all Institutes and Centers
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      • Center for Artificial Intelligence Research
      • Maya Angelou Center for Health Equity
      • Center for Healthcare Innovation
      • Implementation Science
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    • More Resources
      • Wake Forest Clinical and Translational Science Institute
      • Shared Resources and Cores
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Wake Forest University School of Medicine
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  • Wake Forest University School of Medicine
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  • Muhammad Khalid Khan Niazi, PhD
Muhammad Khalid Khan Niazi, PhD
  • Assistant Professor, General Internal Medicine
Muhammad Khalid Khan Niazi, PhD

Muhammad Khalid Khan Niazi, PhD

  • Assistant Professor, General Internal Medicine

Research Interests

  • Image Interpretation, Computer-Assisted
  • Digital Pathology
  • Machine Learning
  • Medical Image Analysis
Positions
Assistant Professor, General Internal Medicine
Departments and Affiliations
General Internal Medicine
Center for Biomedical Informatics

Research

  • Publications
  • Association of CT-Derived Skeletal Muscle and Adipose Tissue Metrics with Frailty in Older Adults. Bunch PM, Rigdon J, Niazi MKK, Barnard RT, Boutin RD, Houston DK, Lenchik L. Acad Radiol. 2023 Jul;
  • NRK-ABMIL: Subtle Metastatic Deposits Detection for Predicting Lymph Node Metastasis in Breast Cancer Whole-Slide Images. Sajjad U, Rezapour M, Su Z, Tozbikian GH, Gurcan MN, Niazi MKK. Cancers (Basel). 2023 Jun; 15(13)
  • Machine learning-based analytics of the impact of the Covid-19 pandemic on alcohol consumption habit changes among United States healthcare workers. Rezapour M, Niazi MKK, Gurcan MN. Sci Rep. 2023 Apr; 13(1):6003.
  • BCR-Net: A deep learning framework to predict breast cancer recurrence from histopathology images. Su Z, Niazi MKK, Tavolara TE, Niu S, Tozbikian GH, Wesolowski R, Gurcan MN. PLoS One. 2023; 18(4):e0283562.
  • Machine Learning Models for Predicting the Outcomes of Surgical Treatment of Colorectal Liver Metastases. Moaven O, Tavolara TE, Valenzuela CD, Cheung TT, Corvera CU, Cha CH, Stauffer JA, Niazi MKK, Gurcan MN, Shen P. J Am Coll Surg. 2023 Apr; 236(4):884-893.
View More Publications

Research Interests

  • Digital Pathology
  • Image Interpretation, Computer-Assisted
  • Machine Learning
  • Medical Image Analysis
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