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      • View all Institutes and Centers
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  • Wake Forest University School of Medicine
  • Faculty Search
  • Muhammad Khalid Khan Niazi, PhD
Muhammad Khalid Khan Niazi, PhD
  • Associate Professor, General Internal Medicine
Muhammad Khalid Khan Niazi, PhD

Muhammad Khalid Khan Niazi, PhD

  • Associate Professor, General Internal Medicine

Research Interests

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

Research

  • Publications
  • Translating prognostic quantification of c-MYC and BCL2 from tissue microarrays to whole slide images in diffuse large B-cell lymphoma using deep learning. Tavolara TE, Niazi MKK, Feldman AL, Jaye DL, Flowers C, Cooper LAD, Gurcan MN. Diagn Pathol. 2024 Jan; 19(1):17.
  • Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images. Su Z, Rezapour M, Sajjad U, Gurcan MN, Niazi MKK. Comput Biol Med. 2023 Dec; 167:107607.
  • One label is all you need: Interpretable AI-enhanced histopathology for oncology. Tavolara TE, Su Z, Gurcan MN, Niazi MKK. Semin Cancer Biol. 2023 Dec; 97:70-85.
  • The correlation between rheological properties and extrusion-based printability in bioink artifact quantification. Gillispie GJ, Copus J, Uzun-Per M, Yoo JJ, Atala A, Niazi MKK, Lee SJ. Mater Des. 2023 Sep; 233
  • 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;
View More Publications

Research Interests

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