A Multiprocessor Network arranging Replicated Objects in Pairwise Balanced Combinatorial Designs. - Simon Y. Berkovich; Lin-Ching Chang (J. Circuits Syst. Comput., 1996)

An automatic method for estimating noise-induced signal variance in magnitude-reconstructed magnetic resonance images. - Lin-Ching Chang; Gustavo Kunde Rohde; Carlo Pierpaoli (Image Processing, 2005)

Parsimonious Model Selection for Tissue Segmentation and Classification Applications: A Study Using Simulated and Experimental DTI Data. - Raisa Z. Freidlin; Evren Özarslan; Michal E. Komlosh; Lin-Ching Chang; Cheng Guan Koay; Derek K. Jones; Peter J. Basser (IEEE Trans. Medical Imaging, 2007)

Error Propagation Framework for Diffusion Tensor Imaging via Diffusion Tensor Representations. - Cheng Guan Koay; Lin-Ching Chang; Carlo Pierpaoli; Peter J. Basser (IEEE Trans. Medical Imaging, 2007)

Erratum to "Error Propagation Framework for Diffusion Tensor Imaging via Diffusion Tensor Representations". - Cheng Guan Koay; Lin-Ching Chang; Carlo Pierpaoli; Peter J. Basser (IEEE Trans. Medical Imaging, 2007)

Comparison of EPI Distortion Correction Methods in Diffusion Tensor MRI Using a Novel Framework. - Minjie Wu; Lin-Ching Chang; Lindsay Walker; Hervé Lemaître; Alan S. Barnett; Stefano Marenco; Carlo Pierpaoli (MICCAI (2), 2008)

The Elliptical Cone of Uncertainty and Its Normalized Measures in Diffusion Tensor Imaging. - Cheng Guan Koay; Uri Nevo; Lin-Ching Chang; Carlo Pierpaoli; Peter J. Basser (IEEE Trans. Medical Imaging, 2008)

A message-based interoperability framework with application to astrophysics. - László István Etesi; André Csillaghy; Lin-Ching Chang (IRI, 2010)

Improving RESTORE for robust diffusion tensor estimation: a simulation study. - Lin-Ching Chang (Image Processing, 2010)

Effects of physiological noise in population analysis of diffusion tensor MRI data. - Lindsay Walker; Lin-Ching Chang; Cheng Guan Koay; Nikhil Sharma 001; Leonardo Cohen; Ragini Verma; Carlo Pierpaoli (NeuroImage, 2011)

A fast eye localization and verification method to improve face matching in surveillance videos. - Lucas Sousa de Oliveira; Díbio Leandro Borges; Flavio de Barros Vidal; Lin-Ching Chang (SMC, 2012)

Accelerating nonlinear diffusion tensor estimation for medical image processing using high performance GPU clusters. - Vinh Q. Dang; Esam El-Araby; Lam H. Dao; Lin-Ching Chang (ASAP, 2013)

GPU acceleration of nonlinear diffusion tensor estimation using CUDA and MPI. - Lin-Ching Chang; Esam El-Araby; Vinh Q. Dang; Lam H. Dao (Neurocomputing, 2014)

Automated measurement of arterial input function in first-pass myocardial perfusion magnetic resonance images using independent component analysis. - Matthew Jacobs; Mikhail Gorbachev; Mitchel Benovoy; Lin-Ching Chang; Andrew E. Arai; Li-yueh Hsu (ISBI, 2015)

Comparison of lossless video and image compression codecs for medical computed tomography datasets. - Vy Bui; Lin-Ching Chang; Dunling Li; Li-yueh Hsu; Marcus Y. Chen (IEEE BigData, 2016)

Harmonization of methods to facilitate reproducibility in medical data processing: Applications to diffusion tensor magnetic resonance imaging. - Jeffrey Jenkins; Lin-Ching Chang; Elizabeth B. Hutchinson; M. Okan Irfanoglu; Carlo Pierpaoli (IEEE BigData, 2016)

A framework for large-scale bacterial motility behavior analysis. - Xiaomeng Liang; Lin-Ching Chang; Arash Massoudieh (IEEE BigData, 2016)

Leveraging social big data for performance evaluation of E-commerce websites. - Eyad Makki; Lin-Ching Chang (IEEE BigData, 2016)

The diffusion tensor imaging (DTI) component of the NIH MRI study of normal brain development (PedsDTI). - Lindsay Walker; Lin-Ching Chang; Amritha Nayak; M. Okan Irfanoglu; Kelly N. Botteron; James McCracken; Robert C. McKinstry; Michael J. Rivkin; Dah-Jyuu Wang; Judith Rumsey; Carlo Pierpaoli (NeuroImage, 2016)

Machine Learning Approaches to Predict Functional Upper Extremity Use in Individuals with Stroke. - Ibrahim Almubark; Lin-Ching Chang; Rahsaan J. Holley; iian Black; Ji Chen; Evan Chan; Alexander Dromerick; Peter S. Lum (IEEE BigData, 2018)

Robust Classification of Functional and Nonfunctional Arm Movement after Stroke Using a Single Wrist-Worn Sensor Device. - Tan Tran; Lin-Ching Chang; Ibrahim Almubark; Elaine M. Bochniewicz; Liqi Shu; Peter S. Lum; Alexander Dromerick (IEEE BigData, 2018)

An automatic random walk based method for 3D segmentation of the heart in cardiac computed tomography images. - Vy Bui; Li-Yueh Hsu; Lin-Ching Chang; Marcus Y. Chen (ISBI, 2018)

Early Detection of Alzheimer's Disease Using Patient Neuropsychological and Cognitive Data and Machine Learning Techniques. - Ibrahim Almubark; Lin-Ching Chang; Thanh Nguyen 006; Raymond Scott Turner; Xiong Jiang (IEEE BigData, 2019)

Using Deep Convolutional Neural Network for Mouse Brain Segmentation in DT-MRI. - Anh Thai; Vy Bui; Laura Reyes; Lin-Ching Chang (IEEE BigData, 2019)

Virtual organelle self-coding for fluorescence imaging via adversarial learning. - Thanh Nguyen 006; Vy Bui; Anh Thai; Van Lam; Christopher B. Raub; Lin-Ching Chang; George Nehmetallah (CoRR, 2019)

Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls with Multilayer Perceptron Neural Network and Neuropsychological Test Data. - Ibrahim Almubark; Samah Alsegehy; Xiong Jiang; Lin-Ching Chang (IJCCI, 2020)

Simultaneous Multi-Structure Segmentation of the Heart and Peripheral Tissues in Contrast Enhanced Cardiac Computed Tomography Angiography. - Vy Bui; Sujata M. Shanbhag; Oscar Levine; Matthew Jacobs; W. Patricia Bandettini; Lin-Ching Chang; Marcus Y. Chen; Li-Yueh Hsu (IEEE Access, 2020)

Improving multi-atlas cardiac structure segmentation of computed tomography angiography: A performance evaluation based on a heterogeneous dataset. - Vy Bui; Li-Yueh Hsu; Sujata M. Shanbhag; Loc Tran; W. Patricia Bandettini; Lin-Ching Chang; Marcus Y. Chen (Comput. Biol. Medicine, 2020)

Comparative Study of 3D Point Cloud Compression Methods. - Mai Bui 003; Lin-Ching Chang; Hang Liu 003; Qi Zhao; Genshe Chen (IEEE BigData, 2021)

Automated Segmental Analysis of Fully Quantitative Myocardial Blood Flow Maps by First-Pass Perfusion Cardiovascular Magnetic Resonance. - Matthew Jacobs; Mitchel Benovoy; Lin-Ching Chang; David Corcoran; Colin Berry; Andrew E. Arai; Li-Yueh Hsu (IEEE Access, 2021)

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. - Vy Bui; Li-Yueh Hsu; Lin-Ching Chang; An-Yu Sun; Loc Tran; Sujata M. Shanbhag; Wunan Zhou; Nehal N. Mehta; Marcus Y. Chen (Frontiers Artif. Intell., 2022)

Enhanced Arrhythmia Classification through Feature Engineering and Hierarchical Modeling. - Fahad Hakami; Lin-Ching Chang (IEEE Big Data, 2023)

Functional Arm Movement Classification in Stroke Survivors Using Deep Learning with Accelerometry Data. - Tan Tran; Lin-Ching Chang; Peter S. Lum (IEEE Big Data, 2023)

Classification of Cognitive-Aesthetic Responses Using Machine Learning and EEG Data. - Edward Trudeau; Lin-Ching Chang; Yoshio Nakamura; Mohamad Koubeissi; Julio Bermudez (IEEE Big Data, 2023)

Performance Evaluation of Multi-Contrast Dixon MRI and CT for Abdominal Fat and Muscle Segmentation Using a UNet CNN. - Andrew Heller; Andrew Liu; Lin-Ching Chang; Gregg Cohen; Elizabeth C. Jones; Li-Yueh Hsu (IEEE Big Data, 2024)

Automated Estimation of Left Myocardial Strain from Cine CTA: A Comparison with Cine MRI. - An-Yu Sun; Li-Yueh Hsu; Lin-Ching Chang; W. Patricia Bandettini; Marcus Y. Chen (IEEE Big Data, 2024)

Classifying Upper Extremity Motor Function Using Deep Learning and Third-Person Video Data. - Tan Tran; Lin-Ching Chang; Peter S. Lum (IEEE Big Data, 2024)

Editorial: Women in AI medicine and public health 2022. - Lin-Ching Chang; Anastasia Angelopoulou (Frontiers Big Data, 2024)