Journal Papers

  1. V Bui, L-Y Hsu, L-C Chang, A-Y Sun, L Tran, SM Shanbha, W Zhou, NN Mehta and MY 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 in Artificial Intelligence: Medicine and Public Health, 5:1059007, doi: 10.3389/frai.2022.1059007, November 2022.
  2. M Jacobs, M Benovoy, L-C Chang, D Corcoran, C Berry, AE Arai, L-Y Hsu. “Automated Segmental Analysis of Fully Quantitative Myocardial Blood Flow Maps by First-Pass Perfusion Cardiovascular Magnetic Resonance”, IEEE Access, 9: 52796-52811, doi: 10.1109/access.2021.3070320, April 2021.
  3. J Jenkins, L-C Chang, BQ Tran, H Szu. “Exploring Hormone Communication and Perception of Emotion”, MOJ Applied Bionics and Biomechanics, 5 (1): 8-17, doi: 10.15406/mojabb.2021.05.00150, March 2021.
  4. PS Lum, L Shu, EM Bochniewicz, T Tran, L-C Chang, J Barth, AW Dromerick. “Improving Accelerometry-Based Measurement of Functional Use of the Upper Extremity After Stroke: Machine Learning Versus Counts Threshold Method”, Neurorehabilitation and Neural Repair, 34(12): 1078–1087, doi: 10.1177/1545968320962483, December 2020.
  5. I Almubark, L-C Chang, K Shattuck, T Nguyen, R Turner, X Jiang. “A 5-min Cognitive Task With Deep Learning Accurately Detects Early Alzheimer's Disease”, Frontiers in Aging Neuroscience, 12: 603179, doi: 10.3389/fnagi.2020.603179, December 2020.
  6. V Bui, L-Y Hsu, SM Shanbhag, L Tran, WP Bandettini, L-C Chang, MY Chen. “Improving Multi-Atlas Cardiac Structure Segmentation of Computed Tomography Angiography: A Performance Evaluation Based on a Heterogeneous Dataset”, Computers in Biology and Medicine, 125: 104019, doi: 10.1016/j.compbiomed.2020.104019, October 2020.
  7. T Nguyen, V Bui, A Thai, V Lam, CB Raub, L-C Chang, G Nehmetallah, “Virtual Organelle Self-Coding for Fluorescence Imaging Via Adversarial Learning”, Journal of Biomedical Optics, 25(9): 096009, doi: 10.1117/1.JBO.25.9.096009, September 2020.
  8. VK Lam, TC Nguyen, V Bui, BM Chung, L-C Chang, G Nehmetallah, CB Raub. “Quantitative Scoring of Epithelial and Mesenchymal Qualities of Cancer Cells Using Machine Learning and Quantitative Phase Imaging”, Journal of Biomedical Optics, 25(2): 026002, doi: 10.1117/1.JBO.25.2.026002, February 2020.
  9. V Bui, SM Shanbhag, O Levine, M Jacobs, WP Bandettini, L-C Chang, MY Chen, L-Y Hsu. “Simultaneous Multi-Structure Segmentation of the Heart and Peripheral Tissues in Contrast Enhanced Cardiac Computed Tomography Angiography”, IEEE Access, 8: 16187–16202, doi: 10.1109/ACCESS.2020.2966985, January 2020.
  10. HH Szu, L-C Chang, H Chu, R Kolluru, S Foo, J Wu. “The 3rd Wave AI Requirements”, MOJ Applied Bionics and Biomechanics, 3(1):18-22, doi: 10.15406/mojabb.2019.03.00094, February 2019.
  11. X Liang, N Lu, L-C Chang, TH Nguyen, A Massoudieh. “Evaluation of Bacterial Run and Tumble Motility Parameters Through Trajectory Analysis”, Journal of Contaminant Hydrology, 211:26-38, doi: 10.1016/j.jconhyd.2018.03.002, April 2018.
  12. T Nguyen, V Bui, V Lam, CB Raub, L-C Chang, G Nehmetallah. “Automatic Phase Aberration Compensation for Digital Holographic Microscopy Based on Deep Learning Background Detection”, Optics Express, 25 (13): 15043-15057, doi: 10.1364/OE.25.015043, June 2017.
  13. E Makki, L-C Chang. “Integration of Social Media, Regional and Service Factors in Quantitative E-commerce Websites Evaluation”. International Journal of Current Research, 9(2): 46608–46613, February 2017.
  14. V Kirnosov, L-C Chang, A Pulkkinen. “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, December 2016.
  15. M Jacobs, M Benovoy, L-C Chang, A E Arai, L-Y Hsu. “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, April 2016.
  16. 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, the Brain Development Cooperative Group. “The Diffusion Tensor Imaging (DTI) Component of The NIH MRI Study of Normal Brain Development (PedsDTI)”, NeuroImage, 124(Pt-B): 1125-1130, doi: 10.1016/j.neuroimage.2015.05.083, January 2016.
  17. M Jacobs, L-C Chang, A Pulkinnen, M Romano. “Automatic Analysis of Double Coronal Mass Ejections From Coronagraph Images”, Space Weather, 13(11): 761-777, doi: 1002/2015SW001260, November 2015. (Selected as the journal cover article)
  18. L Dao, B Glancy, B Lucotte, L-C Chang, R S Balaban, L-Y Hsu. “A Model-Based Approach for Microvasculature Structure Distortion Correction in Two-Photon Fluorescence Microscopy Images”, Journal of Microscopy, 260(2):180-193, doi: 10.1111/jmi.12281, November 2015.
  19. V Kirnosov, L-C Chang, A Pulkkinen. “Automatic CME Front Edge Detection from STEREO White‐light Coronagraph Images”, Space Weather, 13(8): 469–483, doi: 10.1002/2015SW001190, July 2015.
  20. E Makki, L-C Chang. “E-commerce Acceptance and Implementation is Saudi Arabia: Previous, Current and Future Factors”, International Journal of Management Research and Business Strategy, 4(3): 29-44, July 2015.
  21. E Makki, L-C Chang. “Understanding the Effects of Social Media and Mobile Usage on E-Commerce: An Exploratory Study in Saudi Arabia”, International Management Review, 11(8): 98-109, January 2015.
  22. L Dao, B Lucotte, B Glancy, L-C Chang, L-Y Hsu, R S Balaban. “Use of Independent Component Analysis to Improve Signal-to-noise Ratio in Multi-probe Fluorescence Microscopy”, Journal of Microscopy, 256(2): 133-44, doi: 10.1111/jmi.12167, November 2014.
  23. L-C Chang, E El-Araby, V Dang, L Dao. “GPU Acceleration of Nonlinear Diffusion Tensor Estimation Using CUDA and MPI”, Neurocomputing, 135: 328–338, doi:10.1016/j.neucom.2013.12.035, July 2014.
  24. L-C Chang, L Walker L, C Pierpaoli. “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(5): 1654-1663, DOI: 10.1002/mrm.24173, November 2012.
  25. S Rashidian, L-C Chang, P Asadollahi. “Application of Statistical Pattern Recognition in a Solid-Fluid Interaction Problem”, Electronic Journal of Geotechnical Engineering, 16(N): 1629-1637, January 2011.
  26. L Walker, L-C Chang, N Sharma, L Cohen, R Verma, C Pierpaoli. “Effects of Physiological Noise in Population Analysis of Diffusion Tensor MRI Data”, NeuroImage, 54(2):1168-1177, doi: 10.1016/j.neuroimage.2010.08.048, January 2011.
  27. L-C Chang, CG Koay, PJ Basser, C Pierpaoli. “A Linear Least Squares Method for Unbiased Estimation of T1 from SPGR Signals”, Magnetic Resonance in Medicine, 60(2): 496–501, doi: 10.1002/mrm.21669, August 2008.
  28. CG Koay, U Nevo, L-C Chang, C Pierpaoli, PJ Basser. “The Elliptical Cone of Uncertainty and Its Normalized Measures in Diffusion Tensor Imaging”. IEEE Transaction on Medical Imaging 27(6): 834-846, doi: 10.1109/TMI.2008.915663, June 2008.
  29. RZ Freidlin RZ, E Özarslan, ME Komlosh, L-C Chang, CG Koay, DK Jones, PJ Basser. “Parsimonious Model Selection for Tissue Segmentation and Classification Applications: A Study Using Simulated and Experimental DTI data”, IEEE Transaction on Medical Imaging 26(11): 1576-1584, doi: 10.1109/TMI.2007.907294, November 2007.
  30. CG Koay, L-C Chang, C Pierpaoli, PJ Basser. “Error Propagation Framework for Diffusion Tensor Imaging via Diffusion Tensor Representations”, IEEE Transaction on Medical Imaging, 26(8): 1017-1034, doi: 10.1109/TMI.2007.897415, August 2007.
  31. L-C Chang, CG Koay, C Pierpaoli, PJ Basser. “The Variance of DTI-derived Parameters via First-Order Perturbation Methods”, Magnetic Resonance in Medicine, 57(1):141-149, doi: 10.1002/mrm.21111, January 2
  32. CG Koay, L-C Chang, C Pierpaoli C, PJ Basser. “A Unifying Theoretical and Algorithm Framework for Least Square Methods of Estimation in Diffusion Tensor Imaging”. Journal of Magnetic Resonance, 182(1):115-125. doi: 10.1016/j.jmr.2006.06.020, September 2006.
  33. Y Assaf, L Ben-Sira, S Constantini, L-C Chang, L Beni-Adani. “Diffusion Tensor Imaging in Hydrocephalus: Initial Experience”, American Journal of Neuroradiology, 27(8): 1717-1724, September 2006.
  34. L-C Chang, DK Jones, C Pierpaoli. “RESTORE: Robust Estimation of Tensors by Outlier Rejection”, Magnetic Resonance in Medicine, 53(5):1088-1095, doi: 10.1002/mrm.20426, May 2005.
  35. SY Berkovich, L-C Chang. “Multiprocessor Network Arranging Replicated Objects in Pairwise Balanced Combinatorial Designs”, Journal of Circuits, Systems and Computers, 6(1): 85-91, doi: 10.1142/S0218126696000091, January 1996.

Conference Papers

  1. T Tran, L-C Chang, PS Lum. “Classification of Functional and Nonfunctional Hand Movement
    Using Deep Learning and First-Person View Video    ”, The 27th International Conference on Image Processing, Computer, Vision, and Pattern Recognition, July 2023.
  2. A Sun, V Lam, T Phan, L-C Chang, G Nehmetallah, C Raub. “Multi-class Cell Line Classification using Digital Holographic Microscopy and Machine Learning”, SPIE Defense and Commercial Sensing, Proceedings of the SPIE, 12097, doi: 10.1117/12.2619004. May 2022.
  3. M Bui, L-C Chang, H Liu, Q Zhao, G Chen. “Comparative Study of 3D Point Cloud Compression Methods”, IEEE International Conference on Big Data, Pages 5859-5861, doi: 10.1109/BigData52589.2021.9671822, December 2021.
  4. L Micheli, HQ Nguyen, L-C Chang, M Faytarouni. “Machine Learning for Seismic-induced Damage Estimation of Steel Tanks”, Proceeding of International Structural Engineering and Construction (ISEC), 8(1): Pages 1-6, doi: 14455/ISEC.2021.8(1).STR-53, August 2021.
  5. I Almubark, S Alsegehy, X Jiang, L-C Chang. “Early Detection of Mild Cognitive Impairment using Neuropsychological Data and Machine Learning Techniques”, IEEE Conference on Big Data and Analytics (ICBDA), Pages 32-37, doi: 0.1109/ICBDA50157.2020.9289741, December 2020.
  6. 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 (IJCCI), Pages 439-446, doi: 10.5220/0010143304390446, January 2020.
  7. 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”, Biomedical Engineering Society (BMES) Annual Meeting, October 2020.
  8. VK Lam, T Nguyen, V Bui, BM Chung, L-C Chang, G Nehmetallah, CB Raub. “Machine Learning and Quantitative Phase Imaging Scoring of Epithelial and Mesenchymal Features of Cancer Cells”, in Imaging and Applied Optics Congress, OSA Technical Digest, Paper JTh2A.16, doi: 10.1364/3D.2020.JTh2A.16, June 2020.
  9. T Nguyen, V Bui, A Thai, V Lam, CB Raub, L-C Chang, and G Nehmetallah. “Deep Learning (DL) Of Virtual Organelle Self-Coding For Fluorescence Microscopy”, in Imaging and Applied Optics Congress, OSA Technical Digest, Paper JTh2A.40, doi: 10.1364/3D.2020.JTh2A.40, June 2020.
  10. 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”, IEEE International Conference on Big Data (Big Data), Pages 5971-5973, doi: 10.1109/BigData47090.2019.9006583, December 2019.
  11. A Thai, V Bui, L Reyes, L-C Chang. “Using Deep Convolutional Neural Network for Mouse Brain Segmentation in DT-MRI”, IEEE International Conference on Big Data (Big Data), Pages 6229-6231, doi: 10.1109/BigData47090.2019.9005976, December 2019.
  12. 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”, IEEE International Conference on Big Data (Big Data), Pages 5291-5294, doi: 10.1109/BigData.2018.8622054, December 2018.
  13. 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”, IEEE International Conference on Big Data (Big Data), Pages 5457-5459, doi: 10.1109/BigData.2018.8622620, December 2018.
  14. 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”, The 15th IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, Pages 1352-1355, doi: 10.1109/ISBI.2018.8363822, April 2018.
  15. D Li, L-C Chang. “State-of-the-Art Genomic Data Compression Technology”, The 10th International Conference on Bioinformatics and Computational Biology (BICOB), Pages 175-180, March 2018.
  16. D Li, V Bui, L-C Chang. “Performance Comparison of State-of-Art Lossless Video Compression Methods”, IEEE International Conference on Computational Science and Computational Intelligence (CSCI), Pages 386-391, doi: 10.1109/CSCI.2016.0080, December 2016.
  17. E Makki and L-C Chang. “Leveraging Social Big Data for Performance Evaluation of E-Commerce Websites”, IEEE International Conference on Big Data (Big Data), Pages 2525-2534, doi: 10.1109/BigData.2016.7840892, December 2016.
  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”, IEEE International Conference on Big Data (Big Data), Pages 3960-3962, doi: 10.1109/BigData.2016.7841075, December 2016.
  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”, IEEE International Conference on Big Data (Big Data), Pages 3992-3994, doi: 10.1109/BigData.2016.7841086, December 2016.
  20. X Liang, L-C Chang, and A Massoudieh. “A Framework for Large-scale Bacterial Motility Behavior Analysis”, IEEE International Conference on Big Data (Big Data), Pages 4017-4019, doi: 10.1109/BigData.2016.7841095, December 2016.
  21. V Bui, L-C Chang. “Deep Learning Architectures for Hard Character Classification”, The 18th International Conference on Artificial Intelligence (ICAI), Paper No. ICA3984, Pages 108-115, July 2016.
  22. X Liang, L-C Chang, A Massoudieh, N Lu, TH Nguyen. “Quantitative Inference of Bacterial Motility Behavior”, International Conference on Computational Science and Computational Intelligence (CSCI), Pages 368-373, doi: 10.1109/CSCI.2015.97, December 2015.
  23. V Bui, L-C Chang, S Henkman. “A Performance Study of Earth Networks Total Lighting Network (ENTLN) and Worldwide Lightning Location Network (WWLLN)", International Conference on Computational Science and Computational Intelligence (CSCI), Pages 386-391, doi: 10.1109/CSCI.2015.120, December 2015.
  24. V Kirnosov, L-C Chang, A Pulkkinen. “Automatic Tracking of Coronal Mass Ejection using STEREO Red-colored RGB Coronagraph Images”, International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), Paper No. IPC2702, Pages 74-76, July 2015.
  25. E Makki, L-C Chang. “The Impact of Mobile Usage and Social Media on E-commerce Acceptance and Implementation in Saudi Arabia”, International Conference on e-Learning, e-Business, Enterprise Information Systems, and e-Government (EEE), Paper No. EEE2692, Pages 25-30, July 2015.
  26. 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”, The Association of Environmental Engineering & Science Professors (AEESP) Conference, June 2015.
  27. M Jacobs, M Gorbachev, M Benovoy, L-C Chang, AE Arai, L-Y Hsu. “Automated Measurement of Arterial Input Function in First-Pass Myocardial Perfusion Magnetic Resonance Images Using Independent Component Analysis”, The 12th IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, Pages 1332-1335, doi: 10.1109/ISBI.2015.7164121, April 2015.
  28. V Kirnosov, L-C Chang, A Pulkkinen. “Automatic Segmentation of Coronal Mass Ejections from STEREO white-light coronagraph images”, International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), Paper No. IPC2739, July 2014.
  29. E Makki, L-C Chang. “E-Commerce in Saudi Arabia: Acceptance and Implementation Difficulties”, International Conference on e-Learning, e-Business, Enterprise Information Systems, and e-Government (EEE), Paper No. EEE2294, Pages 114-120, July 2014.
  30. Jacobs M, L-C Chang, A Pulkinnen. “Automatic Segmentation and Classification of Multiple Coronal Mass Ejections from Coronagraph Images”, International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), Paper No. IPC2891, July 2013.
  31. V Dang, E El-Araby, LH Dao, L-C Chang. “Accelerating Nonlinear Diffusion Tensor Estimation For Medical Image Processing Using High Performance GPU Clusters”, IEEE International Conference on Application-Specific Systems, Architectures and Processors (ASAP), 6567587 Pages 265-268, doi: 10.1109/ASAP.2013.6567587, June 2013.
  32. S Rashidian, L-C Chang. “Peak Shear Displacement of Rock Fractures”, The 46th US Rock Mechanics Geomechanics Symposium, ARMA-2012-431, June 2012.
  33. L Oliveira, D Borges, F Vidal, L-C Chang. “A Fast Eye Localization and Verification Method to Improve Face Matching in Surveillance Videos”, IEEE International Conference on Systems, Man and Cybernetics (SMC), Pages 840-845, doi: 10.1109/ICSMC.2012.6377832, October 2012.
  34. M Jacobs, A Pulkinnen, L-C Chang. “Improving Coronal Mass Ejection Segmentation Using Pattern Recognition Techniques”, International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), Paper No. IPC7784, Pages 975-980, July 2012.
  35. LI Etesi, L-C Chang. “A Message-Based Interoperability Framework for Applications in Astronomy”, The 11th IEEE International Conference on Information Reuse and Integration (IRI), Pages 1-6, doi: 10.1109/IRI.2010.5558975, August 2010.
  36. L-C Chang. “Improving RESTORE for Robust Diffusion Tensor Estimation: A Simulation Study”, The International Society for Optical Engineering (SPIE) International Symposium on Medical Imaging, Proceedings 7623: 762328.1-762328.1.8, doi: 10.1117/12.843989, February 2010.
  37. L-C Chang, CG Koay, PJ Basser, C Pierpaoli. “A New Linear Least Squares Method for T1 Estimation from SPGR Signals with Multiple TRs”, The International Society for Optical Engineering (SPIE) International Symposium on Medical Imaging, Proceedings 7258: 72584O.1-72584O.12, doi: 10.1117/12.811618, February 2009.
  38. 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”. The 11th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 11(Pt 2): 321-329. Doi: 10.1007/978-3-540-85990-1_39, September 2008.
  39. L-C Chang, C Pierpaoli. “Improving the Accuracy of Diffusion MR Tractography Using RESTORE”, Annual Meeting of Taiwanese Society of Biomedical Engineering, Pages 224-226, December 2007.
  40. L-C Chang, GK Rohde, C Pierpaoli. “An Automatic Method for Estimating Noise-induced Signal Variance in Magnitude-reconstructed Magnetic Resonance Images”, The International Society for Optical Engineering (SPIE) International Symposium on Medical Imaging, Proceedings 5747, doi: 10.1117/12.596008, February 2005.
  41. L-Y Hsu, L-C Chang, MH Loew. “Graph Approach for Fast 3D Connected Components Labeling”, The 4th Asian Conference on Computer Vision (ACCV), Pages 736-741, January 2000.
  42. SY Berkovich, L-C Chang. ”Application of Combinatorial Designs for Constructing an Object-Oriented Environment”. Society for Industrial and Applied Mathematics (SIAM) Annual Meeting, July 1998.
  43. SY Berkovich, L-C Chang. “Simulation of Computer Communication Networks with Combinatorial Arrangement of Replicated Objects”. Western Simulation Multiconference: Communication Networks and Distributed Systems Modeling and Simulation (CNDS), Society for Modeling and Simulation International (SCS), Pages 172-17, January 1997.

 

Conference Abstracts

  1. V Bui, L-Y Hsu, A Sun, L Tran, S Shanbhag, L-C Chang, W Zhou, N Mehta, M Chen. “DeepheartCT: A Fully Automatic Hybrid Structure Segmentation Framework Based On Atlas, Reverse Ranking, And Convolutional Neural Network For Computed Tomography Angiography”, Society of Cardiovascular Computed Tomography (SCCT) 17th Annual Scientific Meeting, JCCT 16(4): S1-S2, July 2022.
  2. A Sun, L Tran, V Bui, L-C Chang, M Chen, L-Y Hsu. “Automated Assessment Of Global Left Ventricular Function And Mass By Cine Computed Tomography Angiography”, Society of Cardiovascular Computed Tomography (SCCT) 17th Annual Scientific Meeting, JCCT 16(4): S3-S4, July 2022.
  3. J Jenkins, L-C Chang, C Pierpaoli. “Creating a Common Operational Picture for MRI and Histology Data”, National Capital Area Traumatic Brain Injury Research Symposium 2017, March 2017.
  4. M Jacobs, M Benovoy, L-C Chang, A E Arai, L-Y Hsu. “Automated Detection of Myocardial Pixels in First-Pass CMR Perfusion Maps”, Society for Cardiovascular Magnetic Resonance (SCMR) 20th Annual Scientific Sessions, JCMR 19(1), February 2017.
  5. V Bui, L-C Chang. “Explore Real-time Big Data Processing with Apache Storm using Twitter Public Stream Data”, IEEE Computational Intelligence Society (CIS) Winter School on Big Data in Computational Intelligence, February 2016. (First-place award in student abstract competition)
  6. 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”, IEEE Computational Intelligence Society (CIS) Winter School on Big Data in Computational Intelligence, February 2016. (Second-place award in student abstract competition)
  7. L-C Chang, C Pierpaoli. “A Robust and Automated Method for Estimating the Expected Signal Standard Deviation in DWI Datasets”, International Society for Magnetic Resonance in Medicine (ISMRM) 20th Annual Scientific Meeting, 20:3577, May 2012.
  8. 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)”, International Society for Magnetic Resonance in Medicine (ISMRM) 20th Annual Scientific Meeting, 20:3160, May 2012.
  9. 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”, American Heart Association (AHA) 127th Annual Meeting, Circulation 129(21): A14379, November 2012.
  10. L-C Chang, L Walker, B Behseta, C Pierpaoli. “Informed RESTORE for Removal of Physiological Noise Artifacts in Low Redundancy DTI Data”, International Society for Magnetic Resonance in Medicine (ISMRM) 19th Annual Scientific Meeting, 19: 3898, May 2011.
  11. L-C Chang, MA Gorbachev. “Accelerating Diffusion Tensor Estimation Using General-Purpose Graphics Processing Unit”, International Society for Magnetic Resonance in Medicine (ISMRM) 19th Annual Scientific Meeting, 19:4027, May 2011.
  12. 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”, International Society for Magnetic Resonance in Medicine (ISMRM) 19th Annual Scientific Meeting, 19:3277, May 2011.
  13. 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”, International Society for Magnetic Resonance in Medicine (ISMRM) 19th Annual Scientific Meeting, 19:2004, May 2011.
  14. J Wei, L-C Chang. “A New Quality Measure of Percutaneous Coronary Intervention—A Volume-Related Performance Comparison Measure”, The 1st American Medical Association (AMA) and the IEEE Engineering in Medicine and Biology (EMB) Society Medical Technology Conference, March 2010.
  15. L Walker, L-C Chang, C Pierpaoli. “How Physiological Noise and Artifacts May Impact Clinical Diffusion Tensor Imaging Studies”, The 16th Annual Meeting of the Organization for Human Brain Mapping (OHMB), 16:3383, June 2010.
  16. 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”, International Society for Magnetic Resonance in Medicine (ISMRM) 18th Annual Scientific Meeting, 18:1597,May 2010.
  17. L-C Chang, L Walker, C Pierpaoli. “Making the Robust Tensor Estimation Approach: "RESTORE" more Robust”, International Society for Magnetic Resonance in Medicine (ISMRM) 17th Annual Scientific Meeting, 17: 3557, May 2009.
  18. 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”, International Society for Magnetic Resonance in Medicine (ISMRM) 17th Annual Scientific Meeting, 17:459, May 2009.
  19. 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”, Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop on Computational Diffusion MRI (CDMRI), September 2008.
  20. L-C Chang, CG Koay, PJ Basser, C Pierpaoli. “Accurate Estimation of T1 from SPGR Signals”, International Society for Magnetic Resonance in Medicine (ISMRM) 16th Annual Scientific Meeting, 16:3048, May 2008.
  21. L-C Chang, CG Koay, S Deoni, C Pierpaoli. “Comparison of Linear and Non-linear Fitting Methods for Estimating T1 from SPGR Signals”, International Society for Magnetic Resonance in Medicine (ISMRM) 15th Annual Scientific Meeting, 15:3715, May 2007.
  22. 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”, International Society for Magnetic Resonance in Medicine (ISMRM) 15th Annual Scientific Meeting, 15:1591, May 2007.
  23. CG Koay, L-C Chang, PJ Basser. “The Cone of Uncertainty is Elliptical: Implications for DTI Tractography”. International Society for Magnetic Resonance in Medicine (ISMRM) 15th Annual Scientific Meeting, 15:1602, May 2007.
  24. CG Koay, L-C Chang, S Deoni, C Pierpaoli. “An Optimal Framework for T1 Estimation in An SPGR Acquisition”, International Society for Magnetic Resonance in Medicine (ISMRM) 15th Annual Scientific Meeting, 15:1974, May 2007.
  25. CG Koay, L-C Chang, C Pierpaoli, PJ Basser PJ. “Diffusion Tensor Representations and Their Applications to DTI Error Propagation”, International Society for Magnetic Resonance in Medicine (ISMRM) 15th Annual Scientific Meeting, 15:1587, May 2007.
  26. E Ozarslan, L-C Chang, C Pierpaoli, PJ Basser. Roughness: A reshuffling-variant differential geometric index for DWI”, International Society for Magnetic Resonance in Medicine (ISMRM) 15th Annual Scientific Meeting, 15:1517, May 2007.
  27. 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”, International Society for Magnetic Resonance in Medicine (ISMRM) 15th Annual Scientific Meeting, 15:1868, May 2007.
  28. L-C Chang, C Pierpaoli, PJ Basser. “The Variance of DTI-derived Parameters via First-Order Perturbation Methods”, International Society for Magnetic Resonance in Medicine (ISMRM) 14th Annual Scientific Meeting, 14:1628, May 2006.
  29. CG Koay, L-C Chang, C Pierpaoli, PJ Basser. “Error Propagation Framework for Diffusion Tensor Imaging”, International Society for Magnetic Resonance in Medicine (ISMRM) 14th Annual Scientific Meeting, 14:1067, May 2006.
  30. L-C Chang, GK Rohde, PJ Basser. “Analytic Expressions for the Uncertainty of DTI-derived Parameters and their Validation Using Monte Carlo Methods”, International Society for Magnetic Resonance in Medicine (ISMRM) Workshop on Methods for Quantitative Diffusion MRI of Human Brain, October 2005.
  31. L-C Chang, GK Rohde, PJ Basser, C Pierpaoli. ”Automatically Estimating Noise-Induced Signal Variance in Magnitude Reconstructed MRI using Kernel Estimator”, International Society for Magnetic Resonance in Medicine (ISMRM) 13th Annual Scientific Meeting, 13:2254, May 2005.
  32. L-C Chang, GK Rohde, DK Jones, PJ Basser, C Pierpaoli. “RESTORE: Robust Estimation of Tensors by Outlier Rejection”. International Society for Magnetic Resonance in Medicine (ISMRM) 12th Annual Scientific Meeting, 12:1223, May 2004.
  33. L-C Chang, SY Berkovich. “Information Retrieval Systems by Using Finite Projective Plane”, Society for Industrial and Applied Mathematics (SIAM) Annual Meeting, July 1998.
  34. SY Berkovich, L-C Chang. “Investigation of Multiprocessing Network Using Pairwise Balanced Combinatorial Designs”, The 5th Symposium on the Frontiers of Massively Parallel Computation, February 1995.