Lin-Ching Chang

Orcid: 0000-0002-7780-5742

According to our database1, Lin-Ching Chang authored at least 35 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Editorial: Women in AI medicine and public health 2022.
Frontiers Big Data, 2024

2023
Classification of Cognitive-Aesthetic Responses Using Machine Learning and EEG Data.
Proceedings of the IEEE International Conference on Big Data, 2023

Functional Arm Movement Classification in Stroke Survivors Using Deep Learning with Accelerometry Data.
Proceedings of the IEEE International Conference on Big Data, 2023

Enhanced Arrhythmia Classification through Feature Engineering and Hierarchical Modeling.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
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., 2022

2021
Automated Segmental Analysis of Fully Quantitative Myocardial Blood Flow Maps by First-Pass Perfusion Cardiovascular Magnetic Resonance.
IEEE Access, 2021

Comparative Study of 3D Point Cloud Compression Methods.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Improving multi-atlas cardiac structure segmentation of computed tomography angiography: A performance evaluation based on a heterogeneous dataset.
Comput. Biol. Medicine, 2020

Simultaneous Multi-Structure Segmentation of the Heart and Peripheral Tissues in Contrast Enhanced Cardiac Computed Tomography Angiography.
IEEE Access, 2020

Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls with Multilayer Perceptron Neural Network and Neuropsychological Test Data.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

2019
Virtual organelle self-coding for fluorescence imaging via adversarial learning.
CoRR, 2019

Using Deep Convolutional Neural Network for Mouse Brain Segmentation in DT-MRI.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Early Detection of Alzheimer's Disease Using Patient Neuropsychological and Cognitive Data and Machine Learning Techniques.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
An automatic random walk based method for 3D segmentation of the heart in cardiac computed tomography images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Robust Classification of Functional and Nonfunctional Arm Movement after Stroke Using a Single Wrist-Worn Sensor Device.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Machine Learning Approaches to Predict Functional Upper Extremity Use in Individuals with Stroke.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016
The diffusion tensor imaging (DTI) component of the NIH MRI study of normal brain development (PedsDTI).
NeuroImage, 2016

Leveraging social big data for performance evaluation of E-commerce websites.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

A framework for large-scale bacterial motility behavior analysis.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Harmonization of methods to facilitate reproducibility in medical data processing: Applications to diffusion tensor magnetic resonance imaging.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Comparison of lossless video and image compression codecs for medical computed tomography datasets.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Automated measurement of arterial input function in first-pass myocardial perfusion magnetic resonance images using independent component analysis.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
GPU acceleration of nonlinear diffusion tensor estimation using CUDA and MPI.
Neurocomputing, 2014

2013
Accelerating nonlinear diffusion tensor estimation for medical image processing using high performance GPU clusters.
Proceedings of the 24th International Conference on Application-Specific Systems, 2013

2012
A fast eye localization and verification method to improve face matching in surveillance videos.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2011
Effects of physiological noise in population analysis of diffusion tensor MRI data.
NeuroImage, 2011

2010
Improving RESTORE for robust diffusion tensor estimation: a simulation study.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

A message-based interoperability framework with application to astrophysics.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2010

2008
The Elliptical Cone of Uncertainty and Its Normalized Measures in Diffusion Tensor Imaging.
IEEE Trans. Medical Imaging, 2008

Comparison of EPI Distortion Correction Methods in Diffusion Tensor MRI Using a Novel Framework.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2007
Erratum to "Error Propagation Framework for Diffusion Tensor Imaging via Diffusion Tensor Representations".
IEEE Trans. Medical Imaging, 2007

Error Propagation Framework for Diffusion Tensor Imaging via Diffusion Tensor Representations.
IEEE Trans. Medical Imaging, 2007

Parsimonious Model Selection for Tissue Segmentation and Classification Applications: A Study Using Simulated and Experimental DTI Data.
IEEE Trans. Medical Imaging, 2007

2005
An automatic method for estimating noise-induced signal variance in magnitude-reconstructed magnetic resonance images.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

1996
A Multiprocessor Network arranging Replicated Objects in Pairwise Balanced Combinatorial Designs.
J. Circuits Syst. Comput., 1996


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