View a full listing of Saad Nadeem: Publications’ journal articles.
Zehra, Talat, Joseph Marino, Wendy Wang, Grigoriy Frantsuzov, and Saad Nadeem. “Rethinking histology slide digitization workflows for low-resource settings.” In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 427-436. Cham: Springer Nature Switzerland, 2024.
Nadeem, Saad, Matthew G. Hanna, Kartik Viswanathan, Joseph Marino, Mahsa Ahadi, Bayan Alzumaili, Mohamed‐Amine Bani et al. “Ki67 proliferation index in medullary thyroid carcinoma: a comparative study of multiple counting methods and validation of image analysis and deep learning platforms.” Histopathology 83, no. 6 (2023): 981-988.
Ghahremani, Parmida, Joseph Marino, Juan Hernandez-Prera, Janis V. de la Iglesia, Robbert JC Slebos, Christine H. Chung, and Saad Nadeem. “An AI-ready multiplex staining dataset for reproducible and accurate characterization of tumor immune microenvironment.” In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 704-713. Cham: Springer Nature Switzerland, 2023.
Ghahremani, Parmida, Yanyun Li, Arie Kaufman, Rami Vanguri, Noah Greenwald, Michael Angelo, Travis J. Hollmann, and Saad Nadeem. “Deep learning-inferred multiplex immunofluorescence for immunohistochemical image quantification.” Nature machine intelligence 4, no. 4 (2022): 401-412.
Ghahremani, Parmida, Joseph Marino, Ricardo Dodds, and Saad Nadeem. “Deepliif: An online platform for quantification of clinical pathology slides.” In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 21399-21405. 2022.