4 papers
AI-Driven Three-Dimensional Reconstruction and Quantitative Analysis for Burn Injury Assessment
S. Kalaycioglu, C. Hong, K. Zhai +2
Accurate, reproducible burn assessment is critical for treatment planning, healing monitoring, and medico-legal documentation, yet conventional visual inspection and 2D photography…
Slim-SC: Thought Pruning for Efficient Scaling with Self-Consistency
Colin Hong, Xu Guo, Anand Chaanan Singh +2
Recently, Test-Time Scaling (TTS) has gained increasing attention for improving LLM reasoning performance at test time without retraining the model. A notable TTS technique is Self…
AI-Powered Legal Intelligence System Architecture: A Comprehensive Framework for Automated Legal Consultation and Analysis
Sean Kalaycioglu, Bob Liu, Colin Hong +1
This paper introduces the Legal Intelligence and Client Engagement System (LICES), a novel architecture designed to redefine legal consultation services through the systematic inte…
Boundary Attention Mapping (BAM): Fine-grained saliency maps for segmentation of Burn Injuries
Mahla Abdolahnejad, Justin Lee, Hannah Chan +7
Burn injuries can result from mechanisms such as thermal, chemical, and electrical insults. A prompt and accurate assessment of burns is essential for deciding definitive clinical…