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Lin-Ching Chang
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2020 – today
- 2024
- [j13]Lin-Ching Chang, Anastasia Angelopoulou
:
Editorial: Women in AI medicine and public health 2022. Frontiers Big Data 6 (2024) - 2023
- [c21]Fahad Hakami, Lin-Ching Chang:
Enhanced Arrhythmia Classification through Feature Engineering and Hierarchical Modeling. IEEE Big Data 2023: 6155-6158 - [c20]Tan Tran, Lin-Ching Chang, Peter S. Lum:
Functional Arm Movement Classification in Stroke Survivors Using Deep Learning with Accelerometry Data. IEEE Big Data 2023: 6292-6294 - [c19]Edward Trudeau, Lin-Ching Chang, Yoshio Nakamura, Mohamad Koubeissi, Julio Bermudez:
Classification of Cognitive-Aesthetic Responses Using Machine Learning and EEG Data. IEEE Big Data 2023: 6301-6304 - 2022
- [j12]Vy Bui, Li-Yueh Hsu
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) - 2021
- [j11]Matthew Jacobs
Automated Segmental Analysis of Fully Quantitative Myocardial Blood Flow Maps by First-Pass Perfusion Cardiovascular Magnetic Resonance. IEEE Access 9: 52796-52811 (2021) - [c18]Mai Bui, Lin-Ching Chang, Hang Liu, Qi Zhao, Genshe Chen:
Comparative Study of 3D Point Cloud Compression Methods. IEEE BigData 2021: 5859-5861 - 2020
- [j10]Vy Bui, Sujata M. Shanbhag, Oscar Levine, Matthew Jacobs
Simultaneous Multi-Structure Segmentation of the Heart and Peripheral Tissues in Contrast Enhanced Cardiac Computed Tomography Angiography. IEEE Access 8: 16187-16202 (2020) - [j9]Vy Bui, Li-Yueh Hsu
Improving multi-atlas cardiac structure segmentation of computed tomography angiography: A performance evaluation based on a heterogeneous dataset. Comput. Biol. Medicine 125: 104019 (2020) - [c17]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: 439-446
2010 – 2019
- 2019
- [c16]Ibrahim Almubark, Lin-Ching Chang
Early Detection of Alzheimer's Disease Using Patient Neuropsychological and Cognitive Data and Machine Learning Techniques. IEEE BigData 2019: 5971-5973 - [c15]Anh Thai, Vy Bui, Laura Reyes, Lin-Ching Chang
Using Deep Convolutional Neural Network for Mouse Brain Segmentation in DT-MRI. IEEE BigData 2019: 6229-6231 - [i1]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 abs/1909.04518 (2019) - 2018
- [c14]Ibrahim Almubark, Lin-Ching Chang
Machine Learning Approaches to Predict Functional Upper Extremity Use in Individuals with Stroke. IEEE BigData 2018: 5291-5294 - [c13]Tan Tran, Lin-Ching Chang
Robust Classification of Functional and Nonfunctional Arm Movement after Stroke Using a Single Wrist-Worn Sensor Device. IEEE BigData 2018: 5457-5459 - [c12]Vy Bui, Li-Yueh Hsu
An automatic random walk based method for 3D segmentation of the heart in cardiac computed tomography images. ISBI 2018: 1352-1355 - 2016
- [j8]Lindsay Walker, Lin-Ching Chang
The diffusion tensor imaging (DTI) component of the NIH MRI study of normal brain development (PedsDTI). NeuroImage 124: 1125-1130 (2016) - [c11]Eyad Makki, Lin-Ching Chang
Leveraging social big data for performance evaluation of E-commerce websites. IEEE BigData 2016: 2525-2534 - [c10]Vy Bui, Lin-Ching Chang
Comparison of lossless video and image compression codecs for medical computed tomography datasets. IEEE BigData 2016: 3960-3962 - [c9]Jeffrey Jenkins, Lin-Ching Chang
Harmonization of methods to facilitate reproducibility in medical data processing: Applications to diffusion tensor magnetic resonance imaging. IEEE BigData 2016: 3992-3994 - [c8]Xiaomeng Liang, Lin-Ching Chang
A framework for large-scale bacterial motility behavior analysis. IEEE BigData 2016: 4017-4019 - 2015
- [c7]Matthew Jacobs, Mikhail Gorbachev, Mitchel Benovoy, Lin-Ching Chang
Automated measurement of arterial input function in first-pass myocardial perfusion magnetic resonance images using independent component analysis. ISBI 2015: 1332-1335 - 2014
- [j7]Lin-Ching Chang
GPU acceleration of nonlinear diffusion tensor estimation using CUDA and MPI. Neurocomputing 135: 328-338 (2014) - 2013
- [c6]Vinh Q. Dang, Esam El-Araby
Accelerating nonlinear diffusion tensor estimation for medical image processing using high performance GPU clusters. ASAP 2013: 265-268 - 2012
- [c5]Lucas Sousa de Oliveira, Díbio Leandro Borges, Flavio de Barros Vidal
A fast eye localization and verification method to improve face matching in surveillance videos. SMC 2012: 840-845 - 2011
- [j6]Lindsay Walker, Lin-Ching Chang
Effects of physiological noise in population analysis of diffusion tensor MRI data. NeuroImage 54(2): 1168-1177 (2011) - 2010
- [c4]László István Etesi, André Csillaghy
A message-based interoperability framework with application to astrophysics. IRI 2010: 1-6 - [c3]Lin-Ching Chang
Improving RESTORE for robust diffusion tensor estimation: a simulation study. Medical Imaging: Image Processing 2010: 762328
2000 – 2009
- 2008
- [j5]Cheng Guan Koay, Uri Nevo, Lin-Ching Chang
The Elliptical Cone of Uncertainty and Its Normalized Measures in Diffusion Tensor Imaging. IEEE Trans. Medical Imaging 27(6): 834-846 (2008) - [c2]Minjie Wu, Lin-Ching Chang
Comparison of EPI Distortion Correction Methods in Diffusion Tensor MRI Using a Novel Framework. MICCAI (2) 2008: 321-329 - 2007
- [j4]Cheng Guan Koay, Lin-Ching Chang
Error Propagation Framework for Diffusion Tensor Imaging via Diffusion Tensor Representations. IEEE Trans. Medical Imaging 26(8): 1017-1034 (2007) - [j3]Cheng Guan Koay, Lin-Ching Chang
Erratum to "Error Propagation Framework for Diffusion Tensor Imaging via Diffusion Tensor Representations". IEEE Trans. Medical Imaging 26(10): 1424-1424 (2007) - [j2]Raisa Z. Freidlin, Evren Özarslan
Parsimonious Model Selection for Tissue Segmentation and Classification Applications: A Study Using Simulated and Experimental DTI Data. IEEE Trans. Medical Imaging 26(11): 1576-1584 (2007) - 2005
- [c1]Lin-Ching Chang
An automatic method for estimating noise-induced signal variance in magnitude-reconstructed magnetic resonance images. Medical Imaging: Image Processing 2005
1990 – 1999
- 1996
- [j1]Simon Y. Berkovich, Lin-Ching Chang
A Multiprocessor Network arranging Replicated Objects in Pairwise Balanced Combinatorial Designs. J. Circuits Syst. Comput. 6(1): 85-92 (1996)
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