Muhammad Khalid Khan Niazi, PhD
- Assistant Professor, General Internal Medicine

Muhammad Khalid Khan Niazi, PhD
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
- Wiley, Advanced Engineering Materials. Meryem Uzun-Per, Gregory J Gillispie, Thomas Erol Tavolara, James J Yoo, Anthony Atala, Metin Nafi Gurcan, Sang Jin Lee, Muhammad Khalid Khan Niazi. Automated Image Analysis Methodologies to Compute Bioink Printability. 2020 Dec; 2;
- Digital Otoscopy Videos Versus Composite Images: A Reader Study to Compare the Accuracy of ENT Physicians. Binol H, Niazi MKK, Essig G, Shah J, Mattingly JK, Harris MS, Elmaraghy C, Teknos T, Taj-Schaal N, Yu L, Gurcan MN, Moberly AC. Laryngoscope. 2020 Nov;
- Automatic discovery of clinically interpretable imaging biomarkers for Mycobacterium tuberculosis supersusceptibility using deep learning. Tavolara TE, Niazi MKK, Ginese M, Piedra-Mora C, Gatti DM, Beamer G, Gurcan MN. EBioMedicine. 2020 Dec; 62:103094.
- Tissue Engineering Part A. Gregory J. Gillispie, Albert Han, Meryem Uzun-Per, John Fisher, Antonios G. Mikos, Muhammad Khalid Khan Niazi, James J. Yoo, Sang Jin Lee, Anthony Atala. The Influence of Printing Parameters and Cell Density on Bioink Printing Outcomes. 2020 Oct; 14;
- SelectStitch: automated frame segmentation and stitching to create composite images from Otoscope video clips. Binol H., Moberly AC, Niazi MKK, Essig G, Shah J, Elmaraghy C, Teknos T, Taj-Schaal N, Yu L, Gurcan MN. . , 10(17), p.5894. MDPI Applied Sciences. 2020 Aug; 26; 10(17):5894.