Lin-Ching Chang

发表

RESTORE: Robust estimation of tensors by outlier rejection

Derek K. Jones, C. Pierpaoli, Lin-Ching Chang, 2005, Magnetic resonance in medicine.

A unifying theoretical and algorithmic framework for least squares methods of estimation in diffusion tensor imaging.

P. Basser, C. Pierpaoli, J. Carew, 2006, Journal of magnetic resonance.

A Model‐based approach for microvasculature structure distortion correction in two‐photon fluorescence microscopy images

R. Balaban, Lin-Ching Chang, L. Hsu, 2015, Journal of microscopy.

A 5-min Cognitive Task With Deep Learning Accurately Detects Early Alzheimer's Disease

Raymond Scott Turner, Xiong Jiang, Lin-Ching Chang, 2020, Frontiers in Aging Neuroscience.

Linear least‐squares method for unbiased estimation of T1 from SPGR signals

P. Basser, C. Pierpaoli, Lin-Ching Chang, 2008, Magnetic resonance in medicine.

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

A. Arai, M. Benovoy, Lin-Ching Chang, 2018 .

Advanced Image Processing in Cardiac Magnetic Resonance Imaging with Application in Myocardial Perfusion Quantification

Lin-Ching Chang, 2017 .

Evaluation of bacterial run and tumble motility parameters through trajectory analysis.

Lin-Ching Chang, A. Massoudieh, T. Nguyen, 2018, Journal of contaminant hydrology.

Virtual organelle self-coding for fluorescence imaging via adversarial learning

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

Analytic Expressions for the Uncertainty of DTI-derived Parameters and their Validation Using Monte Carlo Methods

P. Basser, Lin-Ching Chang, G. Rohde, 2005 .

Automatic analysis of double coronal mass ejections from coronagraph images

Lin-Ching Chang, A. Pulkkinen, Matthew Jacobs, 2015 .

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.

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.

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).

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

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

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.

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).

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.

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.

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.

Improving the Accuracy of Diffusion MR Tractography Using RESTORE

C. Pierpaoli, Lin-Ching Chang, 2008 .

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.

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 Mild Cognitive Impairment using Neuropsychological Data and Machine Learning Techniques

Xiong Jiang, Lin-Ching Chang, Ibrahim Almubark, 2020, 2020 IEEE Conference on Big Data and Analytics (ICBDA).

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 .

Combining STEREO SECCHI COR2 and HI1 images for automatic CME front edge tracking

Lin-Ching Chang, A. Pulkkinen, V. Kirnosov, 2016 .

Comparative Study of 3D Point Cloud Compression Methods

Lin-Ching Chang, Genshe Chen, Hang Liu, 2021, 2021 IEEE International Conference on Big Data (Big Data).

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

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

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

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

Improving RESTORE for robust diffusion tensor estimation: a simulation study

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

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

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

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.

A new linear least squares method for T1 estimation from SPGR signals with multiple TRs

Carlo Pierpaoli, Cheng Guan Koay, Peter J. Basser, 2009, Medical Imaging.

Deep Learning Architectures for Hard Character Classification

Lin-Ching Chang, V. Bui, 2016 .

Quantitative Inference of Bacterial Motility Behavior

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

Automatic CME front edge detection from STEREO white‐light coronagraph images

Lin-Ching Chang, A. Pulkkinen, V. Kirnosov, 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).

DeepHeartCT: A fully automatic artificial intelligence hybrid framework based on convolutional neural network and multi-atlas segmentation for multi-structure cardiac computed tomography angiography image segmentation

Lin-Ching Chang, L. Hsu, Marcus Y. Chen, 2022, Frontiers in Artificial Intelligence.

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.

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.

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

P. Basser, C. Pierpaoli, Lin-Ching Chang, 2007, Magnetic resonance in medicine.

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.

Virtual organelle self-coding for fluorescence imaging via adversarial learning

Lin-Ching Chang, G. Nehmetallah, Anh Thai, 2019, Journal of biomedical optics.

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 .

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

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

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).

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).