Lin-Ching Chang

发表

Informed RESTORE: A method for robust estimation of diffusion tensor from low redundancy datasets in the presence of physiological noise artifacts

Carlo Pierpaoli, Lin-Ching Chang, Lindsay Walker, 2012, Magnetic resonance in medicine.

Early Detection of Alzheimer’s Disease Using Patient Neuropsychological and Cognitive Data and Machine Learning Techniques

Lin-Ching Chang, Xiong Jiang, Ibrahim Almubark, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Parsimonious Model Selection for Tissue Segmentation and Classification Applications: A Study Using Simulated and Experimental DTI Data

Cheng Guan Koay, Derek K. Jones, Peter J. Basser, 2007, IEEE Transactions on Medical Imaging.

Performance Comparison of State-of-Art Lossless Video Compression Methods

Vy Bui, Lin-Ching Chang, Dunling Li, 2016, 2016 International Conference on Computational Science and Computational Intelligence (CSCI).

A message-based interoperability framework with application to astrophysics

Lin-Ching Chang, André Csillaghy, László István Etesi, 2010, 2010 IEEE International Conference on Information Reuse & Integration.

A framework for large-scale bacterial motility behavior analysis

Lin-Ching Chang, Xiaomeng Liang, Arash Massoudieh, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Effects of physiological noise in population analysis of diffusion tensor MRI data

Ragini Verma, Carlo Pierpaoli, Cheng Guan Koay, 2011, NeuroImage.

A Multiprocessor Network arranging Replicated Objects in Pairwise Balanced Combinatorial Designs

Lin-Ching Chang, Simon Y. Berkovich, 1996, J. Circuits Syst. Comput..

Accelerating nonlinear diffusion tensor estimation for medical image processing using high performance GPU clusters

Lin-Ching Chang, Esam El-Araby, Vinh Q. Dang, 2013, 2013 IEEE 24th International Conference on Application-Specific Systems, Architectures and Processors.

Quantitative scoring of epithelial and mesenchymal qualities of cancer cells using machine learning and quantitative phase imaging

Van Lam, George Nehmetallah, Vy Bui, 2020, Journal of biomedical optics.

Automatic phase aberration compensation for digital holographic microscopy based on deep learning background detection.

Van Lam, Thanh Nguyen, George Nehmetallah, 2017, Optics express.

An automatic random walk based method for 3D segmentation of the heart in cardiac computed tomography images

Vy Bui, Lin-Ching Chang, Li-Yueh Hsu, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

E-COMMERCE ACCEPTANCE AND IMPLEMENTATION IN SAUDI ARABIA: PREVIOUS, CURRENT AND FUTURE FACTORS

Lin-Ching Chang, Eyad Makki, Lin-Ching Chang, 2015 .

The diffusion tensor imaging (DTI) component of the NIH MRI study of normal brain development (PedsDTI)

Carlo Pierpaoli, Kelly N. Botteron, Lin-Ching Chang, 2016, NeuroImage.

Robust Classification of Functional and Nonfunctional Arm Movement after Stroke Using a Single Wrist-Worn Sensor Device

Peter S. Lum, Lin-Ching Chang, Ibrahim Almubark, 2018, 2018 IEEE International Conference on Big Data (Big Data).

2016 Ieee International Conference on Big Data (big Data) Leveraging Social Big Data for Performance Evaluation of E-commerce Websites

Lin-Ching Chang, Eyad Makki, Lin-Ching Chang, 2022 .

A Performance Study of Earth Networks Total Lighting Network (ENTLN) and Worldwide Lightning Location Network (WWLLN)

Vy Bui, Lin-Ching Chang, Stan Heckman, 2015, 2015 International Conference on Computational Science and Computational Intelligence (CSCI).

Using Deep Convolutional Neural Network for Mouse Brain Segmentation in DT-MRI

Vy Bui, Lin-Ching Chang, Anh Thai, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Error Propagation Framework for Diffusion Tensor Imaging via Diffusion Tensor Representations

Carlo Pierpaoli, Cheng Guan Koay, Lin-Ching Chang, 2007, IEEE Transactions on Medical Imaging.

Machine Learning Approaches to Predict Functional Upper Extremity Use in Individuals with Stroke

Ji Chen, Peter S. Lum, Lin-Ching Chang, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Improving multi-atlas cardiac structure segmentation of computed tomography angiography: A performance evaluation based on a heterogeneous dataset

Lin-Ching Chang, Li-Yueh Hsu, Vy Bui, 2020, Comput. Biol. Medicine.

The Elliptical Cone of Uncertainty and Its Normalized Measures in Diffusion Tensor Imaging

Carlo Pierpaoli, Cheng Guan Koay, Peter J. Basser, 2008, IEEE Transactions on Medical Imaging.

Comparison of EPI Distortion Correction Methods in Diffusion Tensor MRI Using a Novel Framework

Carlo Pierpaoli, Lin-Ching Chang, Minjie Wu, 2008, MICCAI.

Comparison of lossless video and image compression codecs for medical computed tomography datasets

Vy Bui, Lin-Ching Chang, Dunling Li, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Automated measurement of arterial input function in first-pass myocardial perfusion magnetic resonance images using independent component analysis

Lin-Ching Chang, Andrew E. Arai, Mitchel Benovoy, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Improving Accelerometry-Based Measurement of Functional Use of the Upper Extremity After Stroke: Machine Learning Versus Counts Threshold Method

Lin-Ching Chang, Liqi Shu, Peter S Lum, 2020, Neurorehabilitation and neural repair.

GPU acceleration of nonlinear diffusion tensor estimation using CUDA and MPI

Lin-Ching Chang, Esam El-Araby, Vinh Q. Dang, 2014, Neurocomputing.

Erratum to "Error Propagation Framework for Diffusion Tensor Imaging via Diffusion Tensor Representations"

Carlo Pierpaoli, Cheng Guan Koay, Lin-Ching Chang, 2007, IEEE Trans. Medical Imaging.

An automatic method for estimating noise-induced signal variance in magnitude-reconstructed magnetic resonance images

Carlo Pierpaoli, Gustavo K. Rohde, Lin-Ching Chang, 2005, SPIE Medical Imaging.

Harmonization of methods to facilitate reproducibility in medical data processing: Applications to diffusion tensor magnetic resonance imaging

Carlo Pierpaoli, Lin-Ching Chang, M. Okan Irfanoglu, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Simultaneous Multi-Structure Segmentation of the Heart and Peripheral Tissues in Contrast Enhanced Cardiac Computed Tomography Angiography

Lin-Ching Chang, Matthew Jacobs, Li-Yueh Hsu, 2020, IEEE Access.

Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls with Multilayer Perceptron Neural Network and Neuropsychological Test Data

Lin-Ching Chang, Xiong Jiang, Ibrahim Almubark, 2020, IJCCI.

Improving RESTORE for robust diffusion tensor estimation: a simulation study

Lin-Ching Chang, Lin-Ching Chang, 2010, Medical Imaging.

Virtual organelle self-coding for fluorescence imaging via adversarial learning

Van Lam, Thanh Nguyen, George Nehmetallah, 2019, Journal of biomedical optics.

Quantitative Inference of Bacterial Motility Behavior

Lin-Ching Chang, Xiaomeng Liang, Arash Massoudieh, 2015, 2015 International Conference on Computational Science and Computational Intelligence (CSCI).

A fast eye localization and verification method to improve face matching in surveillance videos

Díbio Leandro Borges, Flavio de Barros Vidal, Lin-Ching Chang, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Automated Segmental Analysis of Fully Quantitative Myocardial Blood Flow Maps by First-Pass Perfusion Cardiovascular Magnetic Resonance

Colin Berry, Lin-Ching Chang, Andrew E. Arai, 2021, IEEE Access.

Evaluation of an automated method for arterial input function detection for first-pass myocardial perfusion cardiovascular magnetic resonance

Lin-Ching Chang, Mitchel Benovoy, Matthew Jacobs, 2016, Journal of Cardiovascular Magnetic Resonance.

Understanding the Effects of Social Media and Mobile Usage on E-Commerce: An Exploratory Study in Saudi Arabia

Lin-Ching Chang, Eyad Makki, Lin-Ching Chang, 2015 .

Variance of estimated DTI‐derived parameters via first‐order perturbation methods

Carlo Pierpaoli, Cheng Guan Koay, Lin-Ching Chang, 2007, Magnetic resonance in medicine.

Age Specific DTI Average Brain Atlases from the NIH MRI Study of Normal Brain Development (PedsDTI)

Lin-Ching Chang, James McCracken, Amritha Nayak, 2011 .