24 citations · 26 across the 7 of their papers we have counts for
7 papers
AutoMedPrompt: A New Framework for Optimizing LLM Medical Prompts Using Textual Gradients
Sean Wu, Michael Koo, Fabien Scalzo +1
Large language models (LLMs) have demonstrated increasingly sophisticated performance in medical and other fields of knowledge. Traditional methods of creating specialist LLMs requ…
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation
Arvind Murari Vepa, Zukang Yang, Andrew Choi +3
Deep learning has seen remarkable advancements in machine learning, yet it often demands extensive annotated data. Tasks like 3D semantic segmentation impose a substantial annotati…
Self-supervised denoising of visual field data improves detection of glaucoma progression
Sean Wu, Jun Yu Chen, Vahid Mohammadzadeh +6
Perimetric measurements provide insight into a patient's peripheral vision and day-to-day functioning and are the main outcome measure for identifying progression of visual damage…
Adversarial Databases Improve Success in Retrieval-based Large Language Models
Sean Wu, Michael Koo, Li Yo Kao +4
Open-source LLMs have shown great potential as fine-tuned chatbots, and demonstrate robust abilities in reasoning and surpass many existing benchmarks. Retrieval-Augmented Generati…
Predicting Outcomes in Video Games with Long Short Term Memory Networks
Kittimate Chulajata, Sean Wu, Fabien Scalzo +1
Forecasting winners in E-sports with real-time analytics has the potential to further engage audiences watching major tournament events. However, making such real-time predictions…
Nodule detection and generation on chest X-rays: NODE21 Challenge
Ecem Sogancioglu, Bram van Ginneken, Finn Behrendt +16
Pulmonary nodules may be an early manifestation of lung cancer, the leading cause of cancer-related deaths among both men and women. Numerous studies have established that deep lea…