2 citations · 3 across the 4 of their papers we have counts for
4 papers
wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech
Khai Le-Duc, Quy-Anh Dang, Tan-Hanh Pham +1
Knowledge graphs (KGs) enhance the performance of large language models (LLMs) and search engines by providing structured, interconnected data that improves reasoning and context-a…
LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification Task
Khai Le-Duc, Ryan Zhang, Ngoc Son Nguyen +5
Vision-language models have been extensively explored across a wide range of tasks, achieving satisfactory performance; however, their application in medical imaging remains undere…
SeUNet-Trans: A Simple yet Effective UNet-Transformer Model for Medical Image Segmentation
Tan-Hanh Pham, Xianqi Li, Kim-Doang Nguyen
Automated medical image segmentation is becoming increasingly crucial to modern clinical practice, driven by the growing demand for precise diagnosis, the push towards personalized…
Deep-Learning Framework for Optimal Selection of Soil Sampling Sites
Tan-Hanh Pham, Praneel Acharya, Sravanthi Bachina +2
This work leverages the recent advancements of deep learning in image processing to find optimal locations that present the important characteristics of a field. The data for train…