Lin-Ching Chang

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 21

Top Topics

Machine Learning

Magnetic Resonance

Diffusion Tensor

Top Venues

Publications

Lin-Ching Chang, Anastasia Angelopoulou
Editorial: Women in AI medicine and public health 2022. Frontiers Big Data 6 (2024)
Tan Tran, Lin-Ching Chang, Peter S. Lum
Functional Arm Movement Classification in Stroke Survivors Using Deep Learning with Accelerometry Data. BigData (2023)
Edward Trudeau, Lin-Ching Chang, Yoshio Nakamura, Mohamad Koubeissi, Julio Bermudez
Classification of Cognitive-Aesthetic Responses Using Machine Learning and EEG Data. BigData (2023)
Fahad Hakami, Lin-Ching Chang
Enhanced Arrhythmia Classification through Feature Engineering and Hierarchical Modeling. BigData (2023)
Vy Bui, Li-Yueh Hsu, Lin-Ching Chang, An-Yu Sun, Loc Tran, Sujata M. Shanbhag, Wunan Zhou, Nehal N. Mehta, Marcus Y. Chen
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. Frontiers Artif. Intell. 5 (2022)
Mai Bui, Lin-Ching Chang, Hang Liu, Qi Zhao, Genshe Chen
Comparative Study of 3D Point Cloud Compression Methods. IEEE BigData (2021)
Matthew Jacobs, Mitchel Benovoy, Lin-Ching Chang, David Corcoran, Colin Berry, Andrew E. Arai, Li-Yueh Hsu
Automated Segmental Analysis of Fully Quantitative Myocardial Blood Flow Maps by First-Pass Perfusion Cardiovascular Magnetic Resonance. IEEE Access 9 (2021)
Ibrahim Almubark, Samah Alsegehy, Xiong Jiang, Lin-Ching Chang
Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls with Multilayer Perceptron Neural Network and Neuropsychological Test Data. IJCCI (2020)
Vy Bui, Sujata M. Shanbhag, Oscar Levine, Matthew Jacobs, W. Patricia Bandettini, Lin-Ching Chang, Marcus Y. Chen, Li-Yueh Hsu
Simultaneous Multi-Structure Segmentation of the Heart and Peripheral Tissues in Contrast Enhanced Cardiac Computed Tomography Angiography. IEEE Access 8 (2020)
Vy Bui, Li-Yueh Hsu, Sujata M. Shanbhag, Loc Tran, W. Patricia Bandettini, Lin-Ching Chang, Marcus Y. Chen
Improving multi-atlas cardiac structure segmentation of computed tomography angiography: A performance evaluation based on a heterogeneous dataset. Comput. Biol. Medicine 125 (2020)
Anh Thai, Vy Bui, Laura Reyes, Lin-Ching Chang
Using Deep Convolutional Neural Network for Mouse Brain Segmentation in DT-MRI. IEEE BigData (2019)
Ibrahim Almubark, Lin-Ching Chang, Thanh Nguyen, Raymond Scott Turner, Xiong Jiang
Early Detection of Alzheimer's Disease Using Patient Neuropsychological and Cognitive Data and Machine Learning Techniques. IEEE BigData (2019)
Thanh Nguyen, Vy Bui, Anh Thai, Van Lam, Christopher B. Raub, Lin-Ching Chang, George Nehmetallah
Virtual organelle self-coding for fluorescence imaging via adversarial learning. CoRR (2019)
Tan Tran, Lin-Ching Chang, Ibrahim Almubark, Elaine M. Bochniewicz, Liqi Shu, Peter S. Lum, Alexander Dromerick
Robust Classification of Functional and Nonfunctional Arm Movement after Stroke Using a Single Wrist-Worn Sensor Device. IEEE BigData (2018)
Ibrahim Almubark, Lin-Ching Chang, Rahsaan J. Holley, iian Black, Ji Chen, Evan Chan, Alexander Dromerick, Peter S. Lum
Machine Learning Approaches to Predict Functional Upper Extremity Use in Individuals with Stroke. IEEE BigData (2018)
Vy Bui, Li-Yueh Hsu, Lin-Ching Chang, Marcus Y. Chen
An automatic random walk based method for 3D segmentation of the heart in cardiac computed tomography images. ISBI (2018)
Vy Bui, Lin-Ching Chang, Dunling Li, Li-yueh Hsu, Marcus Y. Chen
Comparison of lossless video and image compression codecs for medical computed tomography datasets. IEEE BigData (2016)
Eyad Makki, Lin-Ching Chang
Leveraging social big data for performance evaluation of E-commerce websites. IEEE BigData (2016)
Jeffrey Jenkins, Lin-Ching Chang, Elizabeth B. Hutchinson, M. Okan Irfanoglu, Carlo Pierpaoli
Harmonization of methods to facilitate reproducibility in medical data processing: Applications to diffusion tensor magnetic resonance imaging. IEEE BigData (2016)
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
The diffusion tensor imaging (DTI) component of the NIH MRI study of normal brain development (PedsDTI). NeuroImage 124 (2016)
Xiaomeng Liang, Lin-Ching Chang, Arash Massoudieh
A framework for large-scale bacterial motility behavior analysis. IEEE BigData (2016)
Matthew Jacobs, Mikhail Gorbachev, Mitchel Benovoy, Lin-Ching Chang, Andrew E. Arai, Li-yueh Hsu
Automated measurement of arterial input function in first-pass myocardial perfusion magnetic resonance images using independent component analysis. ISBI (2015)
Lin-Ching Chang, Esam El-Araby, Vinh Q. Dang, Lam H. Dao
GPU acceleration of nonlinear diffusion tensor estimation using CUDA and MPI. Neurocomputing 135 (2014)
Vinh Q. Dang, Esam El-Araby, Lam H. Dao, Lin-Ching Chang
Accelerating nonlinear diffusion tensor estimation for medical image processing using high performance GPU clusters. ASAP (2013)
Lucas Sousa de Oliveira, Díbio Leandro Borges, Flavio de Barros Vidal, Lin-Ching Chang
A fast eye localization and verification method to improve face matching in surveillance videos. SMC (2012)
Lindsay Walker, Lin-Ching Chang, Cheng Guan Koay, Nikhil Sharma, Leonardo Cohen, Ragini Verma, Carlo Pierpaoli
Effects of physiological noise in population analysis of diffusion tensor MRI data. NeuroImage 54 (2) (2011)
Lin-Ching Chang
Improving RESTORE for robust diffusion tensor estimation: a simulation study. Medical Imaging: Image Processing (2010)
László István Etesi, André Csillaghy, Lin-Ching Chang
A message-based interoperability framework with application to astrophysics. IRI (2010)
Cheng Guan Koay, Uri Nevo, Lin-Ching Chang, Carlo Pierpaoli, Peter J. Basser
The Elliptical Cone of Uncertainty and Its Normalized Measures in Diffusion Tensor Imaging. IEEE Trans. Medical Imaging 27 (6) (2008)
Minjie Wu, Lin-Ching Chang, Lindsay Walker, Hervé Lemaître, Alan S. Barnett, Stefano Marenco, Carlo Pierpaoli
Comparison of EPI Distortion Correction Methods in Diffusion Tensor MRI Using a Novel Framework. MICCAI (2) (2008)
Cheng Guan Koay, Lin-Ching Chang, Carlo Pierpaoli, Peter J. Basser
Error Propagation Framework for Diffusion Tensor Imaging via Diffusion Tensor Representations. IEEE Trans. Medical Imaging 26 (8) (2007)
Raisa Z. Freidlin, Evren Özarslan, Michal E. Komlosh, Lin-Ching Chang, Cheng Guan Koay, Derek K. Jones, Peter J. Basser
Parsimonious Model Selection for Tissue Segmentation and Classification Applications: A Study Using Simulated and Experimental DTI Data. IEEE Trans. Medical Imaging 26 (11) (2007)
Cheng Guan Koay, Lin-Ching Chang, Carlo Pierpaoli, Peter J. Basser
Erratum to "Error Propagation Framework for Diffusion Tensor Imaging via Diffusion Tensor Representations". IEEE Trans. Medical Imaging 26 (10) (2007)
Lin-Ching Chang, Gustavo Kunde Rohde, Carlo Pierpaoli
An automatic method for estimating noise-induced signal variance in magnitude-reconstructed magnetic resonance images. Medical Imaging: Image Processing (2005)
Simon Y. Berkovich, Lin-Ching Chang
A Multiprocessor Network arranging Replicated Objects in Pairwise Balanced Combinatorial Designs. J. Circuits Syst. Comput. 6 (1) (1996)