Research
Generative AI in Orthopedics: A Deep Few-Shot Augmentation Pipeline for Knee Radiographs and KL Grading
AI Fairness in Hip and Knee Bony Anatomy Segmentation
Publications:
Littlefield, N., Plate, J. F., Weiss, K. R., Lohse, I., Chhabra, A., Siddiqui, I. A., Menezes, Z., Mastorakos, G., Mehul Thakar, S., Abedian, M., Gong, M. F., Carlson, L. A., Moradi, H., Amirian, S., & Tafti, A. P. (2023). Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs. 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), 1–5.
Littlefield, N., Plate, J. F., Weiss, K. R., Lohse, I., Chhabra, A., Siddiqui, I. A., Menezes, Z., Mastorakos, G., Amirian, S., Moradi, H., & Tafti, A. P. (2023). AI Fairness in Hip Bony Anatomy Segmentation: Analyzing and Mitigating Gender and Racial Bias in Plain Radiography Analysis. 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI), 714–716.
A Deep Few-Shot Meta-Learning Strategy for Autonomous Classification of Bone Metastasis in Radionuclide Bone Scans
Poster Session: CTOS (Connective Tissue Oncology Society) 2023
Deep Few-shot Learning for Autonomous Localization of Bone Metastasis in Radionuclide Bone Scans
Poster Session: MSTS (Musculoskeletal Tumor Society) 2023
Enforcing Explainable Deep Few-Shot Learning to Analyze Plain Knee Radiographs: Data from the Osteoarthritis Initiative
Publication:
Littlefield, N., Moradi, H., Amirian, S., Kremers, H. M., Plate, J. F., & Tafti, A. P. (2023). Enforcing Explainable Deep Few-Shot Learning to Analyze Plain Knee Radiographs: Data from the Osteoarthritis Initiative. 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI), 252–260.