博士後研究 PostDoc

2019

專任研究助理 Research Assistant

2018

2013

2010

2008

2011

2010

2008

A Predictor of Atrial Fibrillation Recurrence Post Radiofrequency Catheter Ablation: Left Atrium Volume -- A Deep Learning Approach

Test-Fairness Deep Learning with Influence Score

Automated Anomaly Brain Waves Detection by Deep Learning Methods

Synthetic Images for Federated Learning of Medical Images

Possible Clinical Application of Deep Learning Models on Atrial Fibrillation

Self-supervised Learning Method On 3D Brain MRI For Alzheimer’s Disease Classification

Cornary Artery Disease Classification by ECG using Stacking Method with Machine Learning and Deep Neural Network

Combine Machine Learning and 3D-CNN to Predict Recurrence of Atrial Fibrillation within One Year

Hierarchical classification for COVID-19 and 3 fields of thoracic symptoms detection on X-ray images with deep learning

Predicting future central foveal thickness of patients with ERMs using optical coherence tomography and deep learning

PHD dissertation:Budgeted Algorithms for Online Learning

Use deep learning and X-ray images to construct a computer-aided diagnostic scheme for common pulmonary diseases of children

Feature Fusion with Fundus Color Images and OCT Biomarkers by the Stacking Method

Fractural Vertebral Body Discrimination on Radiography by Deep Learning Classification and Segmentation

Ensemble Classification and Segmentation for Intracranial Metastatic Tumors on MRI Images Based on 2D U-Nets

Rotated YOLO v3 with Application for Detection of Vertebral Fracture

Forecasting with Recurrent Neural Networks for Intermittent Demand Data

PHD dissertation:Boolean Function Networks and applications

PHD dissertation:Integration of ranking and scoring for association rules in network reconstruction applied to interdisciplinary complex data

Wind Forecast Using Extension of Conditional Generative Adversarial Networks for Optimal Wind Turbine Yaw Control Systems

3D Semantic Segmentation of Intracranial Metastatic Tumors

Endoscopic Mayo Score Classification for Ulcerative Colitis with an attention mechanism

Explainable Risk Prediction System for Child Abuse Event by Individual Feature Attribution and Counterfactual Explanation

Budgeted Algorithm for Linearized Confidence-Weighted Learning

2^(K-P)design minimum total level change analysis

Classification of AMD and PCV Color Fundus Images by Deep Learning for Imbalanced Data

Diagnosis of Myocardial Perfusion Images for Coronary Heart Disease

Segmenting learning with deep learning and building the classifier: an application to endoscope image classification for cervical precancerous lesions

An Application of Multi-Class Online Transfer Learning on 4G/LTE Network Traffic Data Analysis

Using U-Net to Semantically Segment Left Atrium in CT Images

Applying Deep Learning and Machine Learning to Predicting Overall Price Trend of Taiwan Real Estate

Medical Image Classification Using Deep Learning with Integration of Disease Features Detection

Accurate Diagnosis of Endoscopic Mucosal Healing in Ulcerative Colitis by Deep Learning and Machine Learning

PHD dissertation:The predictors of functionality assessment in extracranial carotid duplex study for ischemic stroke patients receiving carotid stenting procedures

Prediction of the Chemical Mechanical Polishing Removal Rate by Using a Combination of Deep Neural Network and Random Forest

The Concentration Changes of Toxic Elements in Hair After Taking Probiotics

Online Learning for 4G/LTE Network Traffic Data Classification

A Hierarchical Poisson Model for Community Detection of Undirected Single-edge Graphs

Personalized Course Recommendation using Item Response Theory

Learning capacity study in anti-glaucoma drugs recognition by clinical factors for glaucoma patients

PHD dissertation:Statistical Approaches to Biological Pathways and Network Analysis

A Hierarchical Factor Model for Directed Graph Data

Analyses of Heritability for Triglyceride Levels Using Functional Annotation Partition and Variance Component Approach

Online Learning by SVM for Multiclass Classification in Communication Network Traffic Management

A Factor Model for Graph Data

Smooth Density Estimation based on Bayesian Sequential Partitioning

Symmetric Spectral Matting of Magnetic Resonance Images

Does volatility risk premium smile? A stochastic volatility model approach

Vector Partition Method on Spectral Matting and Image Segmentation

Applying Interactive Storytelling Approach for Anit-Bullying Education

Automatic Probabilistic Maps of Brainbow Image by Dirichlet Mixture Models

Exploring the Mechanisms of the Metabolic Network Evolution via an Integrative Statistical Analysis

Explore Network Community using a High-dimensional Degree-corrected Stochastic Blockmodel

On-line Prediction Model for Wafer Test Recover Yield

2010

Segmentation of PET/CT images by Flexible Mixture Models and Comparison with K-means and Gaussian Mixture Models

Detecting Interaction Patterns Based on Single SNP Association Under Additive Model

Computer Search and Evaluation of Large-Order Multiple Recursive Generators for 64-bit and 128-bit CPUs

PHD dissertation: Statistical Approaches for Emotion Detection, Gene Expression Clustering and Biological Pathway Reconstruction

Statisical Analysis and Classification for 3D Structure of Drosophila Calyx Images

Optimal Grouping and Missing Data Handling or Splt-and- Combine Multidimensional Scaling

Modified Regression Tree and their Applications in Semiconductor Yield Improvement

Caluclation of VIX under Irrational Quotes in Options