Dr. Ming Zhang\u2019s primary areas of research include machine learning, data science, computer vision, and artificial intelligence. Dr. Zhang teaches various computer science courses at both the undergraduate and graduate levels. He created an Artificial Intelligence & Computer Vision (AICV) Lab to promote interdisciplinary teaching and research by developing new technologies and software tools, providing hands-on experience for students, and fostering multidisciplinary collaborations with hospitals. Zhang has published more than thirty journal articles and more than forty conference papers and abstracts. As principal investigator or co-investigator, he has received grants from the National Institutes of Health, the National Science Foundation, and the US Food and Drug Administration, among other foundations and universities, for an award amount totaling $4.4 million.<\/p>\n
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Select Publications<\/strong><\/p>\n Refereed Journals (*corresponding author)<\/em><\/p>\n Rania Almajalid, Ming Zhang*, and Juan Shan. \u201cFully Automatic Knee Bone Detection and Segmentation on Three-Dimensional MRI<\/a>.\u201d Diagnostics<\/em> 12, no. 1 (2022): 123.<\/p>\n Judith M. Hollander, Si Kun Wang, Yue Shu, Ming Zhang, Heber C. Nielsen, Clifford J. Rosen, and Li Zeng. \u201cIGF2 Controls a Critical Metabolic Switch During Postnatal Cartilage Development.\u201d Submitted to Nature Communications<\/em>.<\/p>\n Carmine Guida, Ming Zhang*, and Juan Shan. \u201cKnee Osteoarthritis Classification Using 3D CNN and MRI<\/a>.\u201d Applied Science<\/em> 11, no. 11 (2021).<\/p>\n Matthew Harkey, Erin Little, Mikaela Thompson, Ming Zhang, Jeffrey B. Driban, and Matthew Salzler. \u201cFemoral Cartilage Ultrasound Echo-Intensity Associates with Arthroscopic Cartilage Damage<\/a>.\u201d Ultrasound in Medicine and Biology<\/em> 47, no. 1 (2021).<\/p>\n Matthew Harkey, Jeffrey B. Driban, Christopher Kuenze, Ming Zhang, and Matthew J. Salzler. \u201cPre-Operative Femoral Cartilage Ultrasound Echo-Intensity Associates with Patient-Reported Outcomes at One Year Following Anterior Cruciate Ligament Reconstruction<\/a>.\u201d Ultrasound in Medicine and Biology<\/em> 47, no. 7 (2021).<\/p>\n Jeffrey B. Driban, Lori Lyn Price, Michael LaValley, Grace Lo, Ming Zhang, and Matthew Harkey. \u201cNovel Framework for Measuring Whole Knee Osteoarthritis Progression Using Magnetic Resonance Imaging<\/a>.\u201d Arthritis Care & Research<\/em> 74, no. 5 (2020): 799\u2013808.<\/p>\n Matthew S. Harkey, Julie E. Davis, Lori Lyn Price, Robert J. Ward, James W. MacKay, Charles B. Eaton, Grace H. Lo, Mary F. Barbe, Ming Zhang, Jincheng Pang, Alina C. Stout, Bing Lu, Timothy E. McAlindon, and Jeffrey B. Driban. \u201cComposite Quantitative Knee Structure Metrics Predict the Development of Accelerated Knee Osteoarthritis: Data from the Osteoarthritis Initiative<\/a>.\u201d BMC Musculoskeletal Disorders<\/em> 21, article 299, (2020).<\/p>\n Caroline Lisee, Melanie L. McGrath, Christopher Kuenze, Ming Zhang, Matt Salzler, Jeffrey B. Driban, and Matthew S. Harkey. \u201cNovel Semi-Automated Ultrasound Segmentation Technique for Assessing Average Compartmental Femoral Articular Cartilage Thickness<\/a>.\u201d Journal of Sport Rehabilitation<\/em> 29, no. 7 (2020).<\/p>\n Rania Almajalid, Juan Shan, Yaodong Du, and Ming Zhang*. \u201cIdentification of Knee Cartilage Changing Pattern<\/a>.\u201d Applied Sciences<\/em> 9, no. 17 (2019): 3469.<\/p>\n Matthew S. Harkey, Julie E. Davis, Bing Lu, Lori Lyn Price, Robert J. Ward, James W. MacKay, Charles B. Eaton, Mary F. Barbe, Grace H. Lo, Ming Zhang, Jincheng Pang, Alina C. Stout, Timothy E. McAlindon, and Jeffrey B. Driban \u201cEarly Pre-Radiographic Structural Pathology Precedes the Onset of Accelerated Knee Osteoarthritis: Data from the Osteoarthritis Initiative<\/a>.\u201d BMC Musculoskeletal Disorders <\/em>20, article 241 (2019).<\/p>\n Lori Lyn Price, Matthew Harkey, Robert J. Ward, James MacKay, Ming Zhang, Jingcheng Pang, Julie Davis, Timothy E. McAlindon, Grace H. Lo, Mamta Amin, Charles B. Eaton, Bing Lu, Jeffrey Duryea, Mary Barbe, and Jeffrey B. Driban. \u201cThe Role of Magnetic Resonance Imaging in Classifying Who Will Develop Accelerated Knee Osteoarthritis<\/a>.\u201d Journal of Orthopaedic Research<\/em> 37, no. 11 (2019): 2420\u20132428.<\/p>\n Matthew S. Harkey, Lori Lyn Price, Timothy E. McAlindon, Julie E. Davis, Alina C. Stout, Bing Lu, Ming Zhang, Charles B. Eaton, Mary F. Barbe, Grace H. Lo, and Jeffrey B. Driban. \u201cAssociation Between Declining Walking Speed and Increasing Bone Marrow Lesion and Effusion Volume in Individuals with Accelerated Knee Osteoarthritis<\/a>.\u201d Arthritis Care & Research<\/em> 71, no. 2 (2019): 259\u2013270.<\/p>\n Mathew S. Harkey, Julie E. Davis, Bing Lu, Lori Lyn Price, Charles B. Eaton, Grace H. Lo, Mary F. Barbe, Robert J. Ward, Ming Zhang, Chai-Hsien Liu, Kate L. Lapane, James W. MacKay, Timothy E. McAlindon, and Jeffrey B. Driban. \u201cDiffuse Tibiofemoral Cartilage Change Prior to the Development of Incident Accelerated Knee Osteoarthritis: Data from the Osteoarthritis Initiative<\/a>.\u201d Clinical Anatomy<\/em> 32, no.3 (2019): 369\u2013378.<\/p>\n Yaodong Du, Juan Shan, Rania Almajalid, and Ming Zhang*. \u201cA Novel Method to Predict Knee Osteoarthritis Progression on MRI using Machine Learning Methods<\/a>.\u201d IEEE Transactions on NanoBioscience<\/em> 17, no. 3 (2018): 228\u2013236.<\/p>\n Shujun Fu, Ming Zhang, Chengpo Mu, and Xiaohong Shen. \u201cAdvancements of Medical Image Enhancement in Healthcare Applications<\/a>.\u201d Journal of Healthcare Engineering<\/em> 2018, article 7035264 (2018).<\/p>\n Jeffrey B. Driban, Julie E. Davis, Bing Lu, Lori Lyn Price, Robert J. Ward, James W. MacKay, Charles B. Eaton, Grace H. Lo, Mary F. Barbe, Ming Zhang, Jincheng Pang, Alina C. Stout, and Timothy E. McAlindon. \u201cAccelerated Knee Osteoarthritis is Characterized by Destabilizing Meniscal Tears and Pre-Radiographic Structural Disease Burden<\/a>.\u201d Arthritis & Rheumatology <\/em>71, no. 7 (2018): 1089\u20131100.<\/p>\n Carrie K. Hui Mingalone, Zhiyi Liu, Judith M. Hollander, Kirsten Garvey, Averi L. Gibson, Rose E. Banks, Ming Zhang, Timothy E. McAlindon, Heber C. Nielsen, Irene Georgakoudi, and Li Zeng. \u201cBioluminescence and Second Harmonic Generation Imaging Reveal Dynamic Changes in the Inflammatory and Collagen Landscape in Early Osteoarthritis<\/a>.\u201d Laboratory Investigation<\/em> 98, no. 5 (2018): 656\u2013669.<\/p>\n Alina C. Stout, Mary F. Barbe, Charles B. Eaton, Mamta Amin, Fatimah Al-Eid, Lori Lyn Price, Bing Lu, Grace H. Lo, Ming Zhang, Jincheng Pang, Timothy E. McAlindon, and Jeffrey B. Driban. \u201cInflammation, and Glucose Homeostasis are Associated with Specific Structural Features Among Adults without Knee Osteoarthritis: A Cross-Sectional Study from the Osteoarthritis Initiative<\/a>.\u201d BMC Musculoskeletal Disorders <\/em>19, no. 1 (2018).<\/p>\n Timothy E. McAlindon, Michael LaValley, William F. Harvey, Lori Lyn Price, Jeffrey B. Driban, <\/strong>Ming Zhang, and Rob Ward. \u201cEffects of Intra-Articular Triamcinolone vs Saline on Knee Cartilage Volume and Pain in Patients with Knee Osteoarthritis: A Randomized Clinical Trial<\/a>.\u201d Journal of the American Medical Association <\/em>(JAMA)<\/em> 317, no. 19 (2017): 1967\u20131975.<\/p>\n Averi L. Gibson, Carrie K. Hui Mingalone, Andrea T. Foote, Tomoya Uchimura, Ming Zhang, and Li Zeng. Wnt7a Inhibits IL-1\u1d5d Induced Catabolic Gene Expression and Prevents Articular Cartilage Damage in Experimental Osteoarthritis<\/a>.\u201d Scientific Reports<\/em> 7, article 41823 (2017).<\/p>\n Ming Zhang, Jeffrey B. Driban, Lori Lyn Price, Daniel Harper, Grace H. Lo, Eric Miller, Robert J. Ward, and Timothy E. McAlindon. \u201cDevelopment of A Rapid Cartilage Damage Quantification Method for the Lateral Tibiofemoral Compartment Using Magnetic Resonance Images: Data from the Osteoarthritis Initiative<\/a>.\u201d BioMed Research International<\/em> 2015, article 634275 (2015).<\/p>\n Ming Zhang, Jeffrey B. Driban, Lori Lyn Price, Daniel Harper, Grace H. Lo, Eric Miller, Robert J. Ward, and Timothy E. McAlindon. \u201cMagnetic Resonance Image Sequence Influences the Relationship between Bone Marrow Lesions Volume and Pain: Data from Osteoarthritis Initiative<\/a>.\u201d BioMed Research International<\/em> 2015, article 731903 (2015).<\/p>\n Ming Zhang, Jeffrey B. Driban, Lori Lyn Price, Daniel Harper, Grace H. Lo, Eric Miller, Robert J. Ward, and Timothy E. McAlindon. \u201cDevelopment of A Rapid Knee Cartilage Damage Quantification Method Using Magnetic Resonance Images<\/a>.\u201d BMC Musculoskeletal Disorders<\/em> 15, no. 264 (2014).<\/p>\n Jeffrey B. Driban, Mary F. Barbe, Mamta Amin, Neil S. Kalariya, Ming Zhang, Grace H. Lo, Anna M. Tassinari, Daniel Harper, Lori Lyn Price, Charles B. Eaton, Erika Schneider, and Timothy E. McAlindon. \u201cValidation of quantitative magnetic resonance imaging-based apparent bone volume fraction in peri-articular tibial bone of cadaveric knees<\/a>.\u201d BMC Musculoskeletal Disorders<\/em> 15, no. 143 (2014).<\/p>\n Ling Zhang, Ming Zhang, and H. D. Cheng. \u201cColor Image Segmentation Based on Neutrosophic Method<\/a>.\u201d Optical Engineering<\/em> 51, no. 3, 037009 (2012).<\/p>\n Ling Zhang and Ming Zhang. \u201cFully Automatic Image Segmentation Using an Extended Fuzzy Set<\/a>.\u201d Communications in Computer and Information Science<\/em> 159, no. 8 (2011): 412\u2013417.<\/p>\n Ming Zhang, Ling Zhang, and H. D. Cheng. \u201cSegmentation of Breast Ultrasound Images Based on Neutrosophic Method<\/a>.\u201d Optical Engineering<\/em> 49, no. 11 (2010): 117001\u2013117012.<\/p>\n Ming Zhang, Ling Zhang, and H. D. Cheng. \u201cA Neutrosophic Approach to Image Segmentation Based on Watershed Approach<\/a>.\u201d Signal Processing<\/em> 90, no. 5 (2010): 1510\u20131517.<\/p>\n H. D. Cheng, Rui Min, and Ming Zhang. \u201cAutomatic Wavelet base selection and its application to contrast enhancement<\/a>.\u201d Signal Processing<\/em> 90, no. 4 (2010): 1279\u20131289.<\/p>\n Refereed Conferences (*corresponding author)<\/strong><\/p>\n Yue Wang, Ming Zhang*, Tino Cheung, Carmine Guida, Raymond Ren, and Juan Shan. \u201cFinger Joint Segmentation Using Machine Learning and Minimized Training Set.\u201d Osteoarthritis and Cartilage<\/em> 30, supplement 1 (2022).<\/p>\n Carmin Guida, Ming Zhang*, Jordan Blackadar, Zilong Yang, Tino Cheung, Jeffrey B. Driban, Jeffrey Duryea, Charles B. Eaton, Timothy McAlindon, and Juan Shan. \u201cAutomated Hand Osteoarthritis Classification Using Convolutional Neural Networks.\u201d IEEE International Conference on Machine Learning and Applications (ICMLA), 2021.<\/p>\n Barak Michaely, Ming Zhang*, and Juan Shan. \u201cBone Marrow Lesion Segmentation Using Synthetic Data and Deep Learning Models<\/a>.\u201d Arthritis and Rheumatism<\/em> 73, supplement 10 (2021).<\/p>\n Zilong Yang, Juan Shan, Carmine Guida, Jordan Blackadar, Tino Cheung, Jeffrey Driban, Timothy McAlindon, and Ming Zhang*. \u201cAutomatic Hand Segmentation from Hand X-rays Using Minimized Training Samples and Machine Learning Models<\/a>.\u201d Arthritis and Rheumatism<\/em> 73, supplement 10 (2021).<\/p>\n Matthew Harkey, Erin Little, Mikaela Thompson, Ming Zhang, Jeffrey B. Driban, and Matt Salzler. \u201cFemoral Cartilage Ultrasound Echo-Intensity Associates With Arthroscopic Cartilage Damage in People Following Anterior Cruciate Ligament Reconstruction.\u201d Arthritis and Rheumatism<\/em> 72, supplement 10 (2020).<\/p>\n Matthew Harkey, Erin Little, Matt Salzler, Mikaela Thompson, Ming Zhang, and Jeffrey B. Driban. \u201cUltrasound-based Cartilage Outcomes Differentiate Health and Damaged Medial Cartilage After Anterior Cruciate Ligament Injury: A Preliminary Investigation<\/a>.\u201d Osteoarthritis and Cartilage<\/em> 28, supplement 1 (2020).<\/p>\n Yaodong Du, Ming Zhang*, Garrett Stonis, and Shan Juan. \u201cTopological Data Analysis on Magnetic Resonance Image Biomarkers<\/a>.\u201d IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019.<\/p>\n Rania Almajalid, Juan Shan, Ming Zhang*. \u201cKnee Bone Segmentation on Three-Dimensional MRI<\/a>.\u201d IEEE International Conference on Machine Learning and Applications (ICMLA), 2019.<\/p>\n Matthew Harkey, Lori Lyn Price, Grace H. Lo, Ming Zhang, Jincheng Pang, Timothy E. McAlindon, and Jeffrey B. Driban. \u201cA Novel Composite Score Reflecting Disease Activity Predicts Future Knee Replacements: Data from the Osteoarthritis Initiative<\/a>.\u201d Arthritis Rheumatol.<\/em> 71, supplement 10 (2019).<\/p>\n Matthew Harkey, Julie Davis, Bing Lu, Lori Lyn Price, Robert J. Ward, James MacKay, Charles B. Eaton, Grace H. Lo, Mary Barbe, Ming Zhang, Jincheng Pang, Alina Stout, Timothy E. McAlindon, and Jeffrey B. Driban, Changes in Novel Composite Scores of Disease Activity and Cumulative Damage are Prognostic of Accelerated Knee Osteoarthritis: Data from the Osteoarthritis Initiative<\/a>, Arthritis Rheumatol.<\/em> 71, supplement 10 (2019).<\/p>\n Matthew Harkey, Julie Davis, Bing Lu, Lori Lyn Price, Charles B. Eaton, Grace H. Lo, Mary Barbe, Robert J. Ward, Ming Zhang, H. Liu, K. L. Lapane, J. W. MacKay, Timothy E. McAlindon, and Jeffrey B. Driban. \u201cDiffuse Tibiofemoral Cartilage Change Prior to the Development of Accelerated Knee Osteoarthritis: Data from the Osteoarthritis Initiative<\/a>.\u201d Osteoarthritis and Cartilage<\/em> 27, supplement 1 (2019): S331\u2013S332.<\/p>\n Matthew Harkey, Julie Davis, Bing Lu, Lori Lyn Price, Robert J. Ward, James MacKay, Charles B. Eaton, Grace H. Lo, Mary Barbe, Ming Zhang, Jincheng Pang, Alina Stout, Timothy E. McAlindon, and Jeffrey B. Driban. \u201cNovel Composite Knee Structure Metrics of Disease Activity and Cumulative Damage Predict the Development of Accelerated Knee Osteoarthritis : Data from the Osteoarthritis Initiative<\/a>.\u201d Osteoarthritis and Cartilage<\/em> 27, supplement 1 (2019): S333.<\/p>\n Ming Zhang*, Juan Shan, Yaodong Du, Rania Almajalid, Iris Su, and Joseph DelVecchio. \u201cWhole Knee Cartilage Quantification Based on Informative Locations<\/a>.\u201d IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018.<\/p>\n Rania Almajalid, Juan Shan, Yaodong Du, and Ming Zhang*. \u201cDevelopment of a Deep Learning Based Method for Breast Ultrasound Image Segmentation<\/a>.\u201d IEEE International Conference on Machine Learning and Applications (ICMLA), 2018.<\/p>\n Yaodong Du, Juan Shan, Rania Almajalid, Tomer Alon, and Ming Zhang*. \u201cUsing Whole Knee Cartilage Damage Index to Predict Knee Osteoarthritis: A Two-year Longitudinal Study<\/a>.\u201d IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018: 623\u2013628.<\/p>\n Yaodong Du, Juan Shan, Rania Almajalid, and Ming Zhang*. \u201cKnee Osteoarthritis Severity Level Classification Using Whole Knee Cartilage Damage Index and Artificial Neural Network<\/a>.\u201d IEEE\/ACM Conference on Connected Health: Applications, Systems, and Engineering Technology (CHASE), 2018.<\/p>\n Harkey, M. S., Zhang, M., Blackburn, J. T., Davis, H., Driban, J. B., and Pietrosimone, B. \u201cUltrasonographic Assessment of Acute Femoral Cartilage Deformation Following Walking and Running in Individuals with an Anterior Cruciate Ligament Reconstruction.\u201d National Athletic Trainers\u2019 Association Clinical Symposia, 2018.<\/p>\n Matthew Harkey, Julie Davis, Bing Lu, Lori Lyn Price, Robert J. Ward, James MacKay, Charles B. Eaton, Grace H. Lo, Mary Barbe, Ming Zhang, Jincheng Pang, Alina Stout, Timothy E. McAlindon, and Jeffrey B. Driban. \u201cEarly Pre-Radiographic Structural Pathology Precedes the Onset of Accelerated Knee Osteoarthritis: Data from the Osteoarthritis Initiative.\u201d Arthritis and Rheumatism<\/em> 70, supplement 10 (2018).<\/p>\n Jeffrey B. Driban, Julie Davis, Bing Lu, Lori Lyn Price, Robert J. Ward, James MacKay, Charles B. Eaton, Grace H. Lo, Mary Barbe, Ming Zhang, Jincheng Pang, Alina Stout, Matthew Harkey, and Timothy E. McAlindon. \u201cAccelerated Knee Osteoarthritis Is Characterized By Destabilizing Meniscal Tears and Pre-Radiographic Structural Disease Burden.\u201d Arthritis and Rheumatism<\/em> 70, supplement 10 (2018).<\/p>\n Lori Lyn Price, Jeffrey B. Driban, Grace H. Lo, Ming Zhang, Michael P. LaValley, and Timothy E. McAlindon. \u201cMagnetic Resonance Imaging Features Can Classify Adults Who Will Develop Accelerated Knee Osteoarthritis, A New Way to Think about Composite Magnetic Resonance Imaging Scores to Measure Osteoarthritis Severity and Progression.\u201d Arthritis and Rheumatism<\/em> 70, supplement 10 (2018).<\/p>\n Lori Lyn Price, Matthew Harkey, Robert J. Ward, James MacKay, Ming Zhang, Julie Davis, Timothy E. McAlindon, Grace H. Lo, Mamta Amin, Charles B. Eaton, Bing Lu, Jeffrey Duryea, Mary Barbe, and Jeffrey B. Driban. \u201cMagnetic Resonance Imaging Features Can Classify Adults Who Will Develop Accelerated Knee Osteoarthritis.\u201d Arthritis and Rheumatism<\/em> 70, supplement 10 (2018).<\/p>\n Yaodong Du, Juan Shan, and Ming Zhang. \u201cKnee Osteoarthritis Prediction on MR Images Using Cartilage Damage Index on MR Images and Machine Learning Methods<\/a>.\u201d IEEE International Conference on Bioinformatics, and Biomedicine (BIBM), 2017.<\/p>\n Canavatchel, A. R., Price, L. L., Driban, J. B., Zhang, M., Lo, G. H., and McAlindon, T. E. \u201cAn Exploratory Analysis of Physical Activity Levels and The Presence of Bone Marrow Lesions in Adults with Knee Osteoarthritis: Data from Osteoarthritis Initiative.\u201d Arthritis and Rheumatism<\/em> 69, supplement 10 (2017).<\/p>\n England, K. M., Hammoud, K., Ishak, R., Fitzsimmons, S., Canavatchel, A. R., Zhang, M., McAlindon, T. E., Driban, J. B., and Ward, R. J. \u201cNormal and Abnormal Tibial Tuberosity\u2014Trochlear Groove Distance is Positively Correlated with Patellar Cartilage Loss\u2014Data from the Osteoarthritis Initiative.\u201d Radiology Society of North America 102nd Scientific Assembly and Annual Meeting (2017).<\/p>\n England, K. M., Hammoud, K., Ishak, R., Fitzsimmons, S., Canavatchel, A. R., Zhang, M., McAlindon, T. E., Driban, J. B., and Ward, R. J. \u201cPatella Alta is associated with accelerated medial not lateral patellar cartilage loss.\u201d Radiology Society of North America 102nd Scientific Assembly and Annual Meeting (2017).<\/p>\n England, K. M., Hammoud, K., Ishak, R., Fitzsimmons, S., Canavatchel, A. R., Zhang, M., McAlindon, T. E., Driban, J. B., and Ward, R. J. \u201cTrochlea Dysplasia is associated with increased lateral patellar cartilage loss.\u201d Radiology Society of North America 102nd Scientific Assembly and Annual Meeting (2017).<\/p>\n Zhang, M., Price, L. L., Canavatchel, A. R., Driban, J. B., Yuan, P. W., Lo, G. H., and McAlindon, T. E. \u201cCartilage Loss Primarily Occurs in the Most Affected Tibiofemoral Compartment with no Evidence of a Ceiling Effect among Advanced-Stage Disease: A Two-year Longitudinal Study of Data from the Osteoarthritis.\u201d Arthritis and Rheumatism<\/em> 68, supplement 10 (2016).<\/p>\n Canavatchel, A. R., Lo, G. H., LaValley, M. P., Zhang, M., Driban, J. B., Price, L. L., Miller, E., Eaton, C., and McAlindon, T. E. \u201cVisualizing Different Patterns of Cartilage Change a Two-Year Study of Data from the Osteoarthritis Initiative.\u201d Arthritis and Rheumatism<\/em> 68, supplement 10 (2016).<\/p>\n Stoct, A., Barbe, M. F., Eaton, C. B., Amin, M., Al-Eid, F., Price, L. L., Lu, B., Lo, G. h., Zhang, M., McAlindon, T. E., and Driban, J. B. \u201cInflammation and Glucose Homeostasis are Associated with Specific Structural Features Among Adults without Knee Osteoarthritis: Data from the Osteoarthritis Initiative.\u201d Arthritis and Rheumatism<\/em> 68, supplement 10 (2016).<\/p>\n Fatimah Al Eid, McAlindon, T. E., Zhang, M., and Driban, J. B. \u201cThe Clinical Utility of the Bulge Sign in Evaluating Knee Osteoarthritis.\u201d Arthritis and Rheumatism<\/em> 68, supplement 10 (2016).<\/p>\n Zhang, M., Canavatchel, A. R., Driban, J. B., Price, L. L., McAlindon, T. E. \u201cPatellar cartilage change is not associated with difficulty with stairs and crepitus: a two-year longitudinal study of Data from the osteoarthritis initiative<\/a>.\u201d Osteoarthritis and Cartilage<\/em> 24, supplement 1 (2016): S356\u2013S357.<\/p>\n Zhang, M., Driban, J. B., Price, L. L., Miller, E., McAlindon, T. E. \u201cA Magnetic Resonance Imaging Based Rapid Knee Cartilage Quantification Method for the Lateral Tibiofemoral Compartment: Data from the osteoarthritis initiative<\/a>.\u201d Osteoarthritis and Cartilage<\/em> 23, supplement 2 (2015): A209\u2013A210.<\/p>\n Zhang, M., Driban, J. B., Price, L. L., Lo, G. H., and McAlindon, T. E. \u201cBone Marrow Lesions quantitatively Evaluated on Fluid Sensitive Sequences, not Cartilage Sequences, Correlate with Pain: Data from the Osteoarthritis Initiative<\/a>.\u201d Osteoarthritis and Cartilage<\/em> 23, supplement 2 (2015): A207\u2013A208.<\/p>\n Lo, G. H., Schneider, E., Driban, J. B., Price, L. L., Zhang, M., Harper, D., Eaton, C. B., and McAlindon, T. E. \u201cRelative Periarticular Bone Mineral Density Associates with Articular Cartilage Damage Cross-sectionally and Longitudinally<\/a>.\u201d Osteoarthritis and Cartilage<\/em> 23, supplement 2 (2015): A207\u2013A208.<\/p>\n Zhang, M., Driban, J. B., Price, L. L., Miller, E., and McAlindon, T. E. \u201cValidation of Cartilage Damage Index with Joint Space Width and Static Alignment<\/a>.\u201d Osteoarthritis and Cartilage<\/em> 22, supplement S299 (2014).<\/p>\n Zhang, M., Driban, J. B., Price, L. L., Miller, E., and McAlindon, T. E. \u201cStudy of Cartilage Damage Index with Joint Space Narrowing and Kellgren-Lawrence Grade<\/a>.\u201d Osteoarthritis and Cartilage<\/em> 22, supplement S297\u2013S298 (2014).<\/p>\n Zhang, M., Driban, J. B., Price, L. L., Miller, E., and McAlindon, T. E. \u201cDevelopment and Validation of A Rapid Cartilage Quantification Method.\u201d Arthritis and Rheumatism<\/em> 65, supplement S479 (2013).<\/p>\n Lo, G. H., Price, L. L., Zhang, M., Driban, J. B., Harper, D., and McAlindon, T. E. \u201cExploratory Factor Analysis of a Parsimonious Medical Cartilage Damage Index Reveals One Factor Associated with Radiographic Severity and Symptoms.\u201d Arthritis and Rheumatism<\/em> 65, supplement S241 (2013)<\/p>\n