Journal Papers

    1. J Jenkins, L-C Chang, BQ Tran, H Szu (2021), Exploring hormone communication and perception of emotion, MOJ Applied Bionics and Biomechanics, Volume 5, pp. 8-17.
    2. M Jacobs, M Benovoy, L-C Chang, D Corcoran, C Berry, AE Arai, L-Y Hsu (2021), Automated Segmental Analysis of Fully Quantitative Myocardial Blood Flow Maps by First-Pass Perfusion Cardiovascular Magnetic Resonance, IEEE Access, Volume 9, pp. 52796-52811.
    3. PS Lum, L Shu, EM Bochniewicz, T Tran, L-C Chang, J Barth, AW Dromerick (2020), Improving accelerometry-based measurement of functional use of the upper extremity after stroke: Machine learning versus counts threshold method, Neurorehabilitation and Neural Repair, Volume 34:12, pp. 1078-1087.
    4. V Bui, L-Y Hsu, SM Shanbhag, L Tran, WP Bandettini, L-C Chang, MY Chen (2020), Improving multi-atlas cardiac structure segmentation of computed tomography angiography: A performance evaluation based on a heterogeneous dataset, Computers in Biology and Medicine, Volume 125, DOI: 10.1016/j.compbiomed.2020.104019.
    5. T Nguyen, V Bui, A Thai, V Lam, CB Raub, L-C Chang, G Nehmetallah (2020), Virtual organelle self-coding for fluorescence imaging via adversarial learning, Journal of Biomedical Optics, Volume 25:9, DOI: 10.1117/1.JBO.25.9.096009.
    6. V Bui, SM Shanbhag, O Levine, M Jacobs, WP Bandettini, L-C Chang, MY Chen, L-Y Hsu (2020), Simultaneous Multi-Structure Segmentation of the Heart and Peripheral Tissues in Contrast Enhanced Cardiac Computed Tomography Angiography, IEEE Access, Volume:8, pp 16187-16202, DOI: 10.1109/ACCESS.2020.2966985.
    7. VK Lam, TC Nguyen, V Bui, BMin Chung, L-C Chang, G Nehmetallah, CB Raub (2020), Quantitative scoring of epithelial and mesenchymal qualities of cancer cells using machine learning and quantitative phase imaging, Journal of Biomedical Optics 25(2), DOI: 10.1117/1.JBO.25.2.026002.
    8. I Almubark, L-C Chang, K Shattuck, T Nguyen, R Turner, X Jiang (2020), A 5-min Cognitive Task With Deep Learning Accurately Detects Early Alzheimer's Disease, Frontiers in Aging Neuroscience, Volume 12, DOI: 10.3389/fnagi.2020.603179.
    9. HH Szu, L-C Chang, H Chu, et al. (2019), The 3rd wave AI requirements. MOJ App Bio Biomech 3(1):18‒22. DOI: 10.15406/mojabb.2019.03.00094.
    10. X Liang, N Lu, L-C Chang, TH Nguyen, A Massoudieh (2018), Evaluation of bacterial run and tumble motility parameters through trajectory analysis, Journal of Contaminant Hydrology, 211, pp. 26-38. DOI: 10.1016/j.jconhyd.2018.03.002.
    11. T Nguyen, V Bui, V Lam, CB Raub, L-C Chang, G Nehmetallah (2017), Automatic phase aberration compensation for digital holographic microscopy based on deep learning background detection, Optics Express 25 (13), pp.15043-15057. DOI: 10.1364/OE.25.015043.
    12. E Makki, L-C Chang* (2017). Integration of Social Media, Regional and Service Factors in Quantitative E-commerce Websites Evaluation. International Journal of Current Research, 9(2). pp.46608–46613.
    13. V Kirnosov, L-C Chang*, A Pulkkinen (2016), Combining STEREO SECCHI COR-2 and HI-1 Images for Automatic CME Front Edge Tracking, Journal of Space Weather and Space Climate, 6, A41, DOI: 10.1051/swsc/2016037.
    14. M Jacobs, M Benovoy, L-C Chang, A E Arai, L-Y Hsu (2016), Evaluation of an Automated Method for Arterial Input Function Detection in First-Pass Myocardial Perfusion Magnetic Resonance Images and Its Impact on Quantitative Perfusion, Journal of Cardiovascular Magnetic Resonance, 18:17, DOI: 10.1186/s12968-016-0239-0.
    15. L Walker, L-C Chang, A Nayak, M O Irfanoglu, K N Botteron, J McCracken, R C McKinstry, M J Rivkin, D-J Wang, J Rumsey, C Pierpaoli (2016), the Brain Development Cooperative Group, The Diffusion Tensor Imaging (DTI) Component of The NIH MRI Study of Normal Brain Development (PedsDTI), NeuroImage, doi: 10.1016/j.neuroimage.2015.05.083.
    16. M Jacobs, L-C Chang*, A Pulkinnen, M Romano (2015), Automatic Analysis of Double Coronal Mass Ejections from coronagraph images, Space Weather, 13(11), pp.761-777, doi: 1002/2015SW001260. (Journal Cover Article).
    17. E Makki, L-C Chang* (2015), Understanding the Effects of Social Media and Mobile Usage on E-Commerce: An Exploratory Study in Saudi Arabia, International Management Review, 11(8), pp. 98-109.
    18. V Kirnosov, L-C Chang*, A Pulkkinen (2015), Automatic CME Front Edge Detection from STEREO White‐light Coronagraph Images, Space Weather, 13(8), pp.469–483, doi: 10.1002/2015SW001190.
    19. E Makki, L-C Chang* (2015), E-commerce Acceptance and Implementation is Saudi Arabia: Previous, Current and Future Factors, International Journal of Management Research and Business Strategy, 4(3), pp.29-44.
    20. L Dao, B Glancy, B Lucotte, L-C Chang, R S Balaban, L-Y Hsu (2015), A Model-Based Approach for Microvasculature Structure Distortion Correction in Two-Photon Fluorescence Microscopy Images. Journal of Microscopy , doi: 10.1111/jmi.12281.
    21. L-C Chang*, E El-Araby, V Dang, L Dao (2014), GPU Acceleration of Nonlinear Diffusion Tensor Estimation Using CUDA and MPI, Neurocomputing 135, pp.328–338, doi:10.1016/j.neucom.2013.12.035.
    22. L Dao, B Lucotte, B Glancy, L-C Chang, L-Y Hsu, R S Balaban (2014), Use of Independent Component Analysis to Improve Signal-to-noise Ratio in Multi-probe Fluorescence Microscopy. Journal of Microscopy 256(2), pp133-44, doi: 10.1111/jmi.12167.
    23. L-C Chang*, L Walker L, C Pierpaoli (2012), Informed RESTORE: A Method for Robust Estimation of Diffusion Tensor from Low Redundancy Datasets in the Presence of Physiological Noise Artifacts, Magnetic Resonance in Medicine 68, pp.1654-1663.
    24. S Rashidian, L-C Chang*, P Asadollahi (2011), Application of Statistical Pattern Recognition in a Solid-Fluid Interaction Problem, The Electronic Journal of Geotechnical Engineering Vol 16(N), pp1629-1637.
    25. L Walker, L-C Chang, N Sharma, L Cohen, R Verma, C Pierpaoli (2011), Effects of Physiological Noise in Population Analysis of Diffusion Tensor MRI data, NeuroImage 54(2), pp.1168-77.
    26. L-C Chang*, CG Koay, PJ Basser, C Pierpaoli (2008), A Linear Least Squares Method for Unbiased Estimation of T1 from SPGR Signals, Magnetic Resonance in Medicine 60, pp.496–501.
    27. CG Koay, U Nevo, L-C Chang, C Pierpaoli, PJ Basser (2008), The Elliptical Cone of Uncertainty and Its Normalized Measures in Diffusion Tensor Imaging. IEEE Transaction on Medical Imaging 27(6), pp.834-846.
    28. M Wu, L-C Chang, L Walker, H Lemaitre, AS Barnett, S Marenco, and Pierpaoli C (2008), Comparison of EPI Distortion Correction Methods in Diffusion Tensor MRI Using a Novel Framework. Medical Image Computing and Computer Assisted Intervention, Part II, LNCS 5242, pp.321-329.
    29. RZ Freidlin RZ, E Özarslan, ME Komlosh, L-C Chang, CG Koay, DK Jones, PJ Basser (2007), Parsimonious Model Selection for Tissue Segmentation and Classification Applications: A Study Using Simulated and Experimental DTI data. IEEE Transaction on Medical Imaging 26(11), pp.1576-1584.
    30. CG Koay, L-C Chang, C Pierpaoli, PJ Basser (2007), Error Propagation Framework for Diffusion Tensor Imaging via Diffusion Tensor Representations. IEEE Transaction on Medical Imaging 26(8), pp.1017-1034.
    31. L-C Chang*, CG Koay, C Pierpaoli, PJ Basser (2007), The Variance of DTI-derived Parameters via First-Order Perturbation Methods. Magnetic Resonance in Medicine 57, pp.141-149.
    32. CG Koay, L-C Chang, C Pierpaoli C, PJ Basser (2006), A Unifying Theoretical and Algorithm Framework for Least Square Methods of Estimation in Diffusion Tensor Imaging. Journal of Magnetic Resonance 182, pp.115-125.
    33. Y Assaf, L Ben-Sira, S Constantini, L-C Chang, L Beni-Adani (2006), Diffusion Tensor Imaging in Hydrocephalus: Initial Experience. AJNR Am J Neuroradiol 27, pp.1717-1724.
    34. L-C Chang*, DK Jones, C Pierpaoli C (2005), RESTORE: Robust Estimation of Tensors by Outlier Rejection. Magnetic Resonance in Medicine 53, pp.1088-95.
    35. SY Berkovich, L-C Chang* (1996), Multiprocessor Network Arranging Replicated Objects in Pairwise Balanced Combinatorial Designs. Journal of Circuits, Systems and Computers 6, pp.85-91.

     

    Conference Papers and Abstracts

    1. L Micheli, HQ Nguyen, L-C Chang, M Faytarouni, Machine Learning for Seismic-induced Damage Estimation of Steel Tanks, 2021 International Structural Engineering and Construction (ISEC), DOI: doi.org/10.14455/ISEC.2021.8(1).STR-53.
    2. I Almubark, S Alsegehy, X Jiang, L-C Chang, Early Detection of Mild Cognitive Impairment using Neuropsychological Data and Machine Learning Techniques, 2020 IEEE Conference on Big Data and Analytics (ICBDA), pp. 32-37.
    3. I Almubark, S Alsegehy, X Jiang, L-C Chang, Classification of Alzheimer's disease, mild cognitive impairment, and normal controls with multilayer perceptron neural network and neuropsychological test data, the 12th International Joint Conference on Computational Intelligence, pp 439-446.
    4. VK Lam, T Nguyen, P Sharma, L-C Chang, BM Chung, G Nehmetallah, CB Raub, Quantitative Phase Imaging and Machine Learning Predict Cancer Cell Functional Responses, the 2020 BMES Conference in San Diego, in October.
    5. K. Lam, T. Nguyen, V. Bui, B.-M. Chung, L-C. Chang, G. Nehmetallah, C. B. Raub, Machine learning and quantitative phase imaging scoring of epithelial and mesenchymal features of cancer cells, OSA’s Imaging and Applied Optics Congress, June 22-26, 2020.
    6. Nguyen, V. Bui, A Thai, V. Lam, C. B. Raub, L.-C Chang, and G. Nehmetallah, Deep Learning Of Virtual Organelle Self-Coding For Fluorescence Microscopy, OSA’s Imaging and Applied Optics Congress, June 22-26, 2020.
    7. I Almubark, L-C Chang, T Nguyen, RS Turner, X Jiang, Early Detection of Alzheimer’s Disease Using Patient Neuropsychological and Cognitive Data and Machine Learning Techniques, 2019 IEEE International Conference on Big Data (Big Data), Dec 10-13, 2019.
    8. A Thai, V Bui, L Reyes, L-C Chang, Using Deep Convolutional Neural Network for Mouse Brain Segmentation in DT-MRI, 2019 IEEE International Conference on Big Data (Big Data), Dec 10-13, 2019.
    9. I Almubark, L-C Chang, R Holley, J Chen, E Chan, A Dromerick, PS Lum, Machine Learning Approaches to Predict Functional Upper Extremity Use in Individuals with Stroke, 2018 IEEE International Conference on Big Data (Big Data), 5291-5294, Dec 10-13, 2018
    10. T Tran, L-C Chang, I Almubark, EM Bochniewicz, L Shu, PS Lum, A Dromerick, Robust Classification of Functional and Nonfunctional Arm Movement after Stroke Using a Single Wrist-Worn Sensor Device, 2018 IEEE International Conference on Big Data (Big Data), 5457-5459, Dec 10-13, 2018.
    11. V Bui, L-Y Hsu, L-C Chang, MY Chen, An automatic random walk based method for 3D segmentation of the heart in cardiac computed tomography images, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington DC, April 4-7, 2018.
    12. M Jacobs, M Benovoy, L-C Chang, AE Arai, L-Y Hsu, Automated Myocardial Segmentation of First -Pass CMR Perfusion Pixel Maps, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington DC, April 4-7, 2018.
    13. D Li, L-C Chang, State-of-the-art Genomic Data Compression Technology, 10th International Conference on Bioinformatics and Computational Biology (BICOB) , Las Vegas, March 19-21, 2018.
    14. J Jenkins, L-C Chang, C Pierpaoli, Creating a “Common Operational Picture” for MRI and Histology Data, National Capital Area TBI Research Symposium 2017, Washington DC, Mar 8-9, 2017.
    15. M Jacobs, M Benovoy, L-C Chang, A E Arai, L-Y Hsu, Automated Detection of Myocardial Pixels in First-Pass CMR Perfusion Maps, In Proc. of The Society for Cardiovascular Magnetic Resonance (SCMR), Washington, DC, Feb. 1-4, 2017.
    16. D Li, V Bui, L-C Chang, Performance Comparison of State-of-Art Lossless Video Compression Methods, IEEE 2016 International Conference on Computational Science and Computational Intelligence (CSCI), Dec. 15-17, 2016, Las Vegas, NV.
    17. E Makki and L-C Chang, Leveraging Social Big Data for Performance Evaluation of E-Commerce Websites, in Proc. of IEEE Big Data 2016, Dec. 5-8, 2016, Washington, DC.
    18. V Bui, L-C Chang, D Li, L-Y Hsu, and M Chen, Comparison of Lossless Video and Image Compression Codecs for Medical Computed Tomography Datasets, in Proc. of IEEE Big Data 2016, Dec. 5-8, 2016, Washington, DC.
    19. J Jenkins, L-C Chang, E Hutchinson, M O Irfanoglu, and C Pierpaoli, Harmonization of Methods to Facilitate Reproducibility in Medical Data Processing: Applications to Diffusion Tensor Magnetic Resonance Imaging, in Proc. of IEEE Big Data 2016, Dec. 5-8, 2016, Washington, DC.
    20. X Liang, L-C Chang, and A Massoudieh, A Framework for Large-scale Bacterial Motility Behavior Analysis, in Proc. of IEEE Big Data 2016, Dec. 5-8, 2016, Washington, DC.
    21. V Bui, L-C Chang, Deep Learning Architectures for Hard Character Classification, In Proc. of the 18th International Conference on Artificial Intelligence, pp. 108-115, July 25-28, 2016, Las Vegas, NV, http://worldcomp-proceedings.com/proc/p2016/ICA3984.pdf
    22. X Liang, N Lu, M Maghrebi, HT Nguyen, L-C Chang, A Massoudieh, A Copula-based Model to Identify the Parameters of Run and Tumble Bacterial Motility, 2016 Computational Intelligence Society (CIS) Winter School on Big Data in Computational Intelligence, Feb. 19-21, 2016, Washington, DC. (Awarded second place in student oral presentation competition).
    23. V Bui, L-C Chang, Explore Real-time Big Data Processing with Apache Storm using Twitter Public Stream Data, 2016 IEEE Computational Intelligence Society (CIS) Winter School on Big Data in Computational Intelligence, Feb. 19-21, 2016, Washington, DC. (Awarded first place in student oral presentation competition).
    24. X Liang, L-C Chang, A Massoudieh, N Lu, TH. Nguyen, Quantitative Inference of Bacterial Motility Behavior, 2015 International Conference on Computational Science and Computational Intelligence (CSCI), Dec. 7-9, 2015, Las Vegas, NV.
    25. V Bui, L-C Chang, S Henkman, A Performance Study of Earth Networks Total Lighting Network (ENTLN) and Worldwide Lightning Location Network (WWLLN), 2015 International Conference on Computational Science and Computational Intelligence (CSCI), Dec. 7-9, 2015, Las Vegas, NV.
    26. V Kirnosov, L-C Chang, A Pulkkinen, Automatic Tracking of Coronal Mass Ejection using STEREO Red-colored RGB Coronagraph Images, 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), July 27-30, 2015, Las Vegas, NV.
    27. E Makki, L-C Chang, The Impact of Mobile Usage and Social Media on E-commerce Acceptance and Implementation in Saudi Arabia, 2015 International Conference on e-Learning, e-Business, Enterprise Information Systems, and e-Government (EEE), July 2015.
    28. X Liang, N Lu, M Maghrebi, TH Nguyen, L-C Chang, A Massoudieh, A Copula-based Model to Identify the Parameters of Run and Tumble Bacterial Motility, 2015 The Association of Environmental Engineering & Science Professors (AEESP) Conference, June 2015.
    29. M Jacobs, M Gorbachev, M Benovoy, L-C Chang, A E Arai, L-Y Hsu, Automated Measurement of Arterial Input Function in First-Pass Myocardial Perfusion Magnetic Resonance Images Using Independent Component Analysis, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 1332-1335, April 2015.
    30. V Kirnosov, L-C Chang, A Pulkkinen, Automatic Segmentation of Coronal Mass Ejections from STEREO white-light coronagraph images, 2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), July 2014.
    31. E Makki, L-C Chang, E-Commerce in Saudi Arabia: Acceptance and Implementation Difficulties, The 2014 International Conference on e-Learning, e-Business, Enterprise Information Systems, and e-Government (EEE), July 2014.
    32. Jacobs M, L-C Chang, A Pulkinnen, Automatic Segmentation and Classification of Multiple Coronal Mass Ejections from Coronagraph Images, Proceedings of the 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), art. no. 2891, July 2013.
    33. V Dang, E El-Araby, LH Dao, L-C Chang, Accelerating Nonlinear Diffusion Tensor Estimation For Medical Image Processing Using High Performance GPU Clusters, Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors (IEEE ASAP), art. no. 6567587 , pp. 265-268, June 2013.
    34. J Wei, J Messenger, JP Curtis, L-C Chang, A Hospital Outcome Prediction Model in Percutaneous Coronary Intervention: Volume-Specific Analysis Based on Adverse Outcome Ratios and Risk Adjusted Mortality, submitted to The 127th annual meeting of the American Heart Association (AHA), Nov 2012.
    35. L Oliveira, D Borges, F Vidal, L-C Chang, A Fast Eye Localization and Verification Method to Improve Face Matching in Surveillance Videos, Proceedings of IEEE International Conference on Systems, Man and Cybernetics, pp. 840-845. Sep. 2012.
    36. M Jacobs, A Pulkinnen, L-C Chang, Improving Coronal Mass Ejection Segmentation Using Pattern Recognition Techniques, Proceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), vol. II, pp. 975-980, July 2012.
    37. S Rashidian, L-C Chang, Peak Shear Displacement of Rock Fractures, the 46th US Rock Mechanics Geomechanics Symposium, June 2012.
    38. L-C Chang, C Pierpaoli, A Robust and Automated Method for Estimating the Expected Signal Standard Deviation in DWI Datasets, the 20th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, May 2012.
    39. C Pierpaoli, L Walker L, A Nayak, L-C Chang, W Ball, K Botteron, J McCracken, R McKinstry, M Rivkin, and the Brain Development Cooperative Group, Age Specific DTI Average Brain Atlases from the NIH MRI Study of Normal Brain Development (PedsDTI). In Proc. Intl. Soc. Mag. Reson. Med. 20:3160, May 2012.
    40. L-C Chang, L Walker, B Behseta, C Pierpaoli, Informed RESTORE for Removal of Physiological Noise Artifacts in Low Redundancy DTI Data, In Proc. of the 19th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Montreal, Canada, p.3898, May 2011.
    41. L-C Chang, MA Gorbachev, Accelerating Diffusion Tensor Estimation Using General-Purpose Graphics Processing Unit, In Proc. of the 19th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Montreal, Canada, p.4027, May 2011.
    42. LY Hsu, MA Gorbachev, L-C Chang, S Vasu, C Mancini, WP Bandettini, AE Arai, Automated Extraction of the Arterial Input Function from Contrast-Enhanced First-Pass Cardiac MR Perfusion Images, In Proc. of the 19th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Montreal, Canada, p.3277, May 2011.
    43. L Walker, N Lange, L-C Chang, C Pierpaoli, and the Brain Development Cooperative Group, A Framework for Analysis of Living Phantom Data in a Multicenter DTI study, In Proc. of the 19th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Montreal, Canada, p.2004, May 2011.
    44. LI Etesi, L-C Chang, A Message-Based Interoperability Framework for Applications in Astronomy, In Proc. of the 11th IEEE International Conference on Information Reuse and Integration, Article number 5558975, pp.1-6, Aug. 2010.
    45. J Wei, L-C Chang, A New Quality Measure of Percutaneous Coronary Intervention—A Volume-Related Performance Comparison Measure, In Proc. of the First AMA-IEEE EMBS Medical Technology Conference, poster presentation, Mar. 2010.
    46. L Walker, L-C Chang, C Pierpaoli, How Physiological Noise and Artifacts May Impact Clinical Diffusion Tensor Imaging Studies, In Proc. of the 16th Annual Meeting of the Organization for Human Brain Mapping, Barcelona, Spain, #3383, June 2010.
    47. C Pierpaoli, L Walker, MO Irfanoglu, A Barnett, PJ Basser, L-C Chang, CG Koay, S Pajevic, G Rohde , J Sarlls, M Wu, TORTOISE: an integrated software package for processing of diffusion MRI data, In Proc. of the 18th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Stockholm, Sweden, poster presentation, May 2010.
    48. L-C Chang, Improving RESTORE for Robust Diffusion Tensor Estimation: A Simulation Study, In Proc. of the SPIE 2010 Medical Image, Volume 7623, pp. 762328.1-762328.1.8, May 2010.
    49. L-C Chang, L Walker, C Pierpaoli, Making the Robust Tensor Estimation Approach: "RESTORE" more Robust, In Proc. of the 17th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Honolulu, Hawaii, p.3557, May 2009.
    50. L Walker, L-C Chang, E Kanterakis, L Bloy, K Simonyan, R Verma, C Pierpaoli, Statistical Assessment of the Effects of Physiological Noise and Artifacts in a Population Analysis of Diffusion Tensor MRI Data, In Proc. of the 17th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Honolulu, Hawaii, p.459, May 2009.
    51. L-C Chang, CG Koay, PJ Basser, C Pierpaoli, A New Linear Least Squares Method for T1 Estimation from SPGR Signals with Multiple TRs, In Proc. of the SPIE Medical Image, Volume 7258, pp. 72584O.1-72584O.12, Feb. 2009.
    52. M Wu, L-C Chang, L Walker, H Lemaitre, AS Barnett, S Marenco, C Pierpaoli, Comparison of EPI Distortion Correction Methods in Diffusion Tensor MRI using a Novel Framework, In Proc. of the 11th International Conference on Medical Image Computing and Computer Assisted Intervention, pp. 321-329, Sep. 2008.
    53. M Wu, L-C Chang, L Walker, H Lemaitre, AS Barnett, S Marenco, C Pierpaoli, Comparison of B0 field mapping method and B-spline image registration method in EPI distortion correction in Diffusion Tensor MRI, CDMRI’08, MICCAI Workshop on Computational Diffusion MRI, New York, oral presentation, Sep. 2008.
    54. L-C Chang, CG Koay, PJ Basser, C Pierpaoli, Accurate Estimation of T1 from SPGR Signals, In Proc. of the 16th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Toronto, Ontario, Canada, p.3048, May 2008.
    55. L-C Chang, C Pierpaoli, Improving the Accuracy of Diffusion MR Tractography Using RESTORE. In Proc. of the Annual Biomedical Engineering Meeting, Taichung, Taiwan, pp. 224-226, Dec. 2007.
    56. L-C Chang, CG Koay, S Deoni, C Pierpaoli1 C, Comparison of Linear and Non-linear Fitting Methods for Estimating T1 from SPGR Signals. In Proc. of the 15th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Berlin, Germany, #3715, May 2007.
    57. M Wu, L-C Chang, AS Barnett, S Marenco, C Pierpaoli, A Framework for Evaluating the Performance of EPI Distortion Correction Strategies in Diffusion Tensor MRI. In Proc. of the 15th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Berlin, Germany, #1591, May 2007.
    58. CG Koay, L-C Chang, PJ Basser, The Cone of Uncertainty is Elliptical: Implications for DTI Tractography. In Proc. of the 15th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Berlin, Germany, p.1602, May 2007.
    59. CG Koay, L-C Chang, S Deoni, C Pierpaoli, An Optimal Framework for T1 Estimation in An SPGR Acquisition. In Proc. of the ISMRM 15th Scientific Meeting, Berlin, Germany, p.1974, May 2007
    60. CG Koay, L-C Chang, C Pierpaoli, PJ Basser PJ, Diffusion Tensor Representations and Their Applications to DTI Error Propagation. In Proc. of the 15th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Berlin, Germany, p.1587, May 2007
    61. E Ozarslan, L-C Chang, C Pierpaoli, PJ Basser, Roughness: A reshuffling-variant differential geometric index for DWI. In Proc. of the 15th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Berlin, Germany, p.1517, May 2007
    62. RZ Freidlin, E Ozarslan, ME Komlosh, L-C Chang, CG Koay, DK Jones, PJ Basser, Parsimonious Model Selection for DTI Tissue Segmentation and Classification: Study on Simulated and Experimental Data. In Proc. of the 15th Annual International Society for Magnetic Resonance in Medicine Scientific Meeting, Berlin, Germany, p.1868, May 2007.
    63. L-C Chang, C Pierpaoli, PJ Basser, The Variance of DTI-derived Parameters via First-Order Perturbation Methods. In Proc. of the ISMRM 14th Scientific Meeting, Seattle, USA, May 2006.
    64. CG Koay, L-C Chang, C Pierpaoli, PJ Basser, Error Propagation Framework for Diffusion Tensor Imaging. In Proc. of the ISMRM 14th Scientific Meeting, Seattle, USA, May 2006.
    65. L-C Chang, GK Rohde, PJ Basser, Analytic Expressions for the Uncertainty of DTI-derived Parameters and their Validation Using Monte Carlo Methods. ISMRM Workshop on Methods for Quantitative Diffusion MRI of Human Brain, Alberta, Canada, Oct. 2005.
    66. L-C Chang, GK Rohde, PJ Basser, C Pierpaoli, Automatically Estimating Noise-Induced Signal Variance in Magnitude Reconstructed MRI using Kernel Estimator. In Proc. of the ISMRM 13th Scientific Meeting, Miami, USA, May 2005.
    67. L-C Chang, GK Rohde, C Pierpaoli, An Automatic Method for Estimating Noise-induced Signal Variance in Magnitude-reconstructed Magnetic Resonance Images. In Proc. of the SPIE Medical Imaging, 5747:1136-1142, San Diego, USA, Feb. 2005.
    68. L-C Chang, GK Rohde, DK Jones, PJ Basser, C Pierpaoli, RESTORE: Robust Estimation of Tensors by Outlier Rejection. In Proc. of the ISMRM 12th Scientific Meeting, Kyoto, Japan, May 2004.
    69. L-Y Hsu, L-C Chang, MH Loew, A Graph Approach for Fast 3D Connected Components Labeling. In Proc. of the Asian Conference on Computer Vision, Taipei, Taiwan, pp. 736-741, 2000.
    70. L-C Chang, SY Berkovich, Information Retrieval Systems by Using Finite Projective Plane. In Proc. of the SIAM Annual Meeting. Toronto, Canada, 1998.
    71. SY Berkovich, L-C Chang, Application of Combinatorial Designs for Constructing an Object-Oriented Environment. In Proc. of the SIAM Conference on Discrete Mathematics. Toronto, Canada, 1998.
    72. SY Berkovich, L-C Chang, Simulation of Computer Communication Networks with Combinatorial Arrangement of Replicated Objects. In Proc. of the Western Multiconference CNDS, SCS. 172-17, 1997.
    73. SY Berkovich, L-C Chang, Investigation of Multiprocessing Network Using Pairwise Balanced Combinatorial Designs. Frontiers, 1995.