245 citations · 923 across the 38 of their papers we have counts for
39 papers
U-CFR: Uncertainty-Guided Cascade Forward Refinement for Interactive Segmentation
Elijah Danquah Darko, Min Xian, Terence Soule +2
Interactive image segmentation is critical for efficient image annotation; however, existing methods often require many corrective clicks or rely on passive refinement schemes that…
Post-Hoc Understanding of Metaphor Processing in Decoder-Only Language Models via Conditional Scale Entropy
Lawhori Chakrabarti, Jennifer Johnson-Leung, Bert Baumgaertner +3
Metaphor requires a language model to resolve a token whose contextual meaning diverges from its basic literal sense. Understanding how transformer models organize this reinterpret…
Do Sharpness-based Optimizers Improve Generalization in Medical Image Analysis?
Mohamed Hassan, Aleksandar Vakanski, Min Xian
Effective clinical deployment of deep learning models in healthcare demands high generalization performance to ensure accurate diagnosis and treatment planning. In recent years, si…
Causality Extraction from Nuclear Licensee Event Reports Using a Hybrid Framework
Shahidur Rahoman Sohag, Sai Zhang, Min Xian +3
Industry-wide nuclear power plant operating experience is a critical source of raw data for performing parameter estimations in reliability and risk models. Much operating experien…
A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation
Kyle Lucke, Aleksandar Vakanski, Min Xian
In recent years, convolutional neural networks for semantic segmentation of breast ultrasound (BUS) images have shown great success; however, two major challenges still exist. 1) M…
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks
Longze Li, Jiang Chang, Aleksandar Vakanski +3
With the increased use of data-driven approaches and machine learning-based methods in material science, the importance of reliable uncertainty quantification (UQ) of the predicted…