2 citations · 3 across the 4 of their papers we have counts for
5 papers
Missing Data Estimation for MR Spectroscopic Imaging via Mask-Free Deep Learning Methods
Tan-Hanh Pham, Ovidiu C. Andronesi, Xianqi Li +1
Magnetic Resonance Spectroscopic Imaging (MRSI) is a powerful tool for non-invasive mapping of brain metabolites, providing critical insights into neurological conditions. However,…
Predicting Space Tourism Demand Using Explainable AI
Tan-Hanh Pham, Jingchen Bi, Rodrigo Mesa-Arango +1
Comprehensive forecasts of space tourism demand are crucial for businesses to optimize strategies and customer experiences in this burgeoning industry. Traditional methods struggle…
Enhanced Droplet Analysis Using Generative Adversarial Networks
Tan-Hanh Pham, Kim-Doang Nguyen
Precision devices play an important role in enhancing production quality and productivity in agricultural systems. Therefore, the optimization of these devices is essential in prec…
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…