Team研究團隊

You-Rong Zheng

AI

Micro-CT-Based Geometry-Free Visual Topology Reconstruction of Non-Spherical Compound Eyes

r14631006@ntu.edu.tw

Bo-Yi Wu

AI

Deep Learning Application for Coronary Artery Segmentation

r14631026@ntu.edu.tw

Peng-Yuan Wu

AI

Comparison of Regularization Methods for Variable Selection in Highly Correlated Data

r14631031@g.ntu.edu.tw

Jing-Han Jang

AI

​Deep Learning Applications for Oral Mucosal Image Registration

r13631065@ntu.edu.tw

Yan-Sheng Liang

Statistics

Enabling in silico aptamer discovery with multimodal deep learning

r14h41013@ntu.edu.tw

Hong-Wei Wang

AI

​Deep Learning Applications for Prostate Cancer CT Image Segmentation

r15631059@ntu.edu.tw

Ting-Wei Huang

AI

​AI-Integrated Energy System for Monitoring Floating Aquatic Plants and Co-Digestion Biogas Generation from Agro-Livestock Wastes

r15631045@ntu.edu.tw

Yi-Lin Chen

Statistics

​Deep Learning Applications for Early Prediction of Sepsis Using the MIMIC Database

r15h41016@ntu.edu.tw

Pei-Quan Su

AI

Deep Learning Application for Coronary Artery Segmentation

r15631061@ntu.edu.tw

Ze-Hong Chen

AI

AED Pad Placement Quality Assessment System

r15631075@ntu.edu.tw

Bo-Zhao Chen

AI

Deep Learning and Algorithms in Agriculture

Shaghayegh Afshari

AI

Deep Learning in Medical Imaging Spectral CT / PET

d12631007@ntu.edu.tw

Chiu-Wang Tseng

AI

Medical Image Artificial Intelligence and Federated Learning

Chia-Chuan Hsieh

AI

Jiun-Yi Shaw

AI

d15631005@ntu.edu.tw

Yuan-Jun Peng ’26

A Hybrid LLM-LSTM Framework for Time-Series Imputation in Early Prediction of Sepsis Using the MIMIC Database

Yu-Hsin Lin ’26

Application of Deep Learning in Colorectal Cancer CT Image Segmentation

Wan-Ting Wu ’26

A Multimodal Biomolecular Language Model-Assisted Deep Learning Framework for Aptamer–Protein Binding Affinity Prediction

Hsiu-Tzu Liao ’26

AI-Integrated System for Floating Aquatic Vegetation Monitoring and Co-Digestion-Based Biogas Production from Agro-Livestock Waste

Si-Wei Chen ’26

Dynamic Router Gating Mixture of Experts with Adaptive Calibration Consensus for Oral Lesion Detection System and iOS Application Development

Yung-En Huang ’26

​Deep Learning Applications for Prostate Cancer CT Image Segmentation

Hsin-Yu Hsieh ’25

Analyzing Honeybee Foraging Behavior and Pollen Dynamics Using Deep Learning

Chao-Hung Cheng ’25

Developing a Mobile Application for Oral Lesion Detection and Classification Using Deep Learning

Zhen-Yu Lian ’25

Application of Deep Learning and Algorithms in Agriculture

Song-Tao Wu ’24

Early Prediction of Acute Kidney Injury Using Physiological and Clinical Data with Domain-Adapted BERT Embeddings

Yu-Jie Liu ’24

Application of Deep Learning for Oral Lesion Detection

Yong-Long Lin ’24

Positron Emission Tomography Image Reconstruction and Software Interface Development

Han-Bin Chang ’24

Application of Deep Learning to Track Honeybee Beehive Entry and Exit Activity with Pollen Counting

Jun-Kai Liao ’24

Application of Deep Learning for Developing Mobile APP for Oral Lesion Detection and Classification

Jun Weng ’23

Using Transformer-Based Imputation Techniques to Combine Time-Series and Non-Time-Series Data for Early Prediction of Sepsis

Shan-Cheng Chang ’23

Applications of AIoT Technology for Precision Monitoring of Small Pests and Optimization of Bee Pollination in Protected Cultivation

Yi-Shin Chou ’23

Using Deep Learning Method to Conduct Paddy Field Detection and Staging in Aerial Images in Geographic Information System

Ting-Jia Guo ’22

Application of Machine Learning in Atrial Fibrillation Prediction

Zheng-En Wu ’22

Multimodal Deep Learning Model for Screening Acute Heart Failure in Emergency Department Using Chest X-rays and Electronic Health Records

Wei-Zheng Guo ’22

Early prediction of Acute Kidney Injury in the Intensive Care Unit Using Machine Learning Models on MIMIC Database

Cheng-Yan Wu ’22

Early Prediction of Sepsis Using Machine Learning Methods on MIMIC Database

Wei-Hao Huang ’22

Application of Deep Learning Technology in Asparagus Growth Stage and Disease Identification

Yan-Shuo Chen ’22

Orchard Classification and Parcel Segmentation in Aerial Imagery Using Deep Neural Networks

Dong-Lin Wu ’21

Application of Machine Learning in Atrial Fibrillation Prediction

Zi-Ping Zhong ’21

Application of Neural Networks for the Improvement of X-ray Phase Contrast Imaging

Jian-Han Zou ’21

Three-Dimensional Lumen Reconstruction and Compitational Fluid Dynamics Application of Coronary Angiography

Jin-Cheng Lu ’20

Application of Machine Learning in the Modeling and the Prediction of Glycemic Indices

Yu-Fang Xie ’20

The Application of Computational Fluid Dynamics Simulation for Cardiovascular System and Coronary Arterial Stenosis

Zhi-Yue Zhan ’20

An Automatic Monitoring System for Pest Management in an Asparagus Greenhouse Using Image Processing Technology

Ke-Jia Gao ’20

Application of Convolutional Neural Networks in the Optimization of PET Image Reconstruction

Meng-Fu Chen ’19

Development an IoT-Based Power Quality Monitoring Platform

Jing-Xuan Zhang ’18

Comparison of Regularization Methods for Variable Selection in Highly Correlated Data

Qi-Xian Zhang ’18

Statistical Analysis of the Application of Augmented Reality in the Salah Learning System

Yu-You He

RA