Nickolas Littlefield

Fair AI-powered orthopedic image segmentation: addressing bias and promoting equitable healthcare

2024 · 18 Zit. · Scientific Reports

State-of-the-Art in Responsible, Explainable, and Fair AI for Medical Image Analysis

2025 · 14 Zit. · IEEE Access

Enforcing Explainable Deep Few-Shot Learning to Analyze Plain Knee Radiographs: Data from the Osteoarthritis Initiative

2023 · 5 Zit.

Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs

2023 · 2 Zit.

Predicting cancer survival at different stages: Insights from fair and explainable machine learning approaches

2025 · 2 Zit. · International Journal of Medical Informatics

AI Fairness in Hip Bony Anatomy Segmentation: Analyzing and Mitigating Gender and Racial Bias in Plain Radiography Analysis

2023 · 1 Zit.

Explainable Feature Engineering in Health Data Science: Empirical Comparison of ChatGPT-4o and Classical Machine Learning Methods

2025 · 1 Zit.

Self-supervised Representation Learning for AI-Based Musculoskeletal Radiograph Registry Construction

2026 · 0 Zit. · Lecture notes in computer science

KneeXNet-2.5D: a clinically-oriented and explainable deep learning framework for MRI-based knee cartilage and meniscus segmentation

2026 · 0 Zit. · npj Health Systems

Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs

2023 · 0 Zit. · arXiv (Cornell University)

AI-Augmented authorship: revolutionizing histopathology publishing in the generative AI era

2025 · 0 Zit. · Journal of Histotechnology