
Ming Zhang
Assistant Professor, Computer Science Coordinator, BSCS Programs
Dr. Ming Zhang’s 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.
Research Interests
- Machine Learning
- Computer Vision
- Data Science
- Artificial Intelligence
- Biomedical Image Processing
Courses
- MET CS 520 – Information Structures with Java
- MET CS 521 – Information Structures with Python
- MET CS 526 – Data Structures and Algorithms
- MET CS 555 – Foundations of Machine Learning
- MET CS 566 – Analysis of Algorithms
- MET CS 790 – Computer Vision in AI
Scholarly Works
Select Publications
Refereed Journals (*corresponding author)
Shao-Hsien Liu, Jonggyu Baek, Kate L. Lapane, Julieann C. Patarini, Ming Zhang, Matthew S. Harkey, Grace H. Lo, Charles B Eaton, Jamie MacKay, Timothy E. McAlindon, and Jeffrey B. Driban. “Bidirectional longitudinal relationships between MRI-detected structural changes and contralateral knee pain in knee osteoarthritis: data from the Osteoarthritis Initiative.” Osteoarthritis and Cartilage Open (Accepted for 2026).
Joshua T. Harvey, Timothy E. McAlindon, Jongyu Baek, Jamie MacKay, Ming Zhang, Grace Lo, Shao-Hsien Liu, Charles B. Eaton, Matthew Harkey, Julieann C. Patarini,and Jeffrey B. Driban. “Meniscal degeneration among knees without radiographic osteoarthritis relates to changes in disease activity and subsequent cumulative damage: data from the Osteoarthritis Initiative.” Osteoarthritis Imaging 5, no. 2 (2025).
Jeffrey B. Driban, Lori Lyn Price, Michael LaValley, Grace Lo, Ming Zhang, and Matthew Harkey. “Contralateral Knee Osteoarthritis Severity Relates to Magnetic Resonance Imaging Findings in Knees with and without Osteoarthritis: Data from the Osteoarthritis Initiative.” Osteoarthritis and Cartilage Open 7, no. 2 (2025): 100585.
Raj Ponnusamy, Ming Zhang*, Yue Wang, Xinyue Sun, Jeffrey B Driban, Timothy E. McAlindon, and Juan Shan. “Automatic Segmentation of Bone Marrow Lesions on MRI using a Deep Learning Method.” Bioengineering 11, no. 4 (2024): 374.
Michael J. Richard, Grace Lo, Jeffrey Driban, Amanda R. Canavatchel, Michael LaValley, Ming Zhang; Lori Price, Eric Miller, Charles Eaton, and Timothy McAlindon. “Knee Cartilage Change on Magnetic Resonance Imaging: Should we Lump or Split Topographical Regions? A Two-Year Study of Data from the Osteoarthritis Initiative.” Clinical Anatomy 37, no. 2 (2024): 210–217.
Raj Ponnusamy, Ming Zhang*, Zhiheng Chang, Yue Wang, Carmine Guida, Samantha Kuang, Xinyue Sun, Jordan Blackadar, Jeffrey B. Driban, Timothy McAlindon, Jeffrey Duryea, Lena Schaefer, Charles B. Eaton, Ida K. Haugen, and Juan Shan. “Automatic Measuring of Finger Joint Space Width on Hand Radiograph using Deep Learning and Conventional Computer Vision Methods.” Biomedical Signal Processing and Control vol. 84 (2023): 104713.
Carmine Guida, Ming Zhang*, and Juan Shan. “Improving Knee Osteoarthritis Classification Using Multimodal Intermediate Fusion of X-ray, MRI, and Clinical Information.” Neural Computing & Applications vol. 35, (2023): 9763–9772.
Rania Almajalid, Ming Zhang*, and Juan Shan. “Fully Automatic Knee Bone Detection and Segmentation on Three-Dimensional MRI.” Diagnostics 12, no. 1 (2022): 123.
Judith M. Hollander, Si Kun Wang, Yue Shu, Ming Zhang, Heber C. Nielsen, Clifford J. Rosen, and Li Zeng. “IGF2 Controls a Critical Metabolic Switch During Postnatal Cartilage Development.” Submitted to Nature Communications.
Carmine Guida, Ming Zhang*, and Juan Shan. “Knee Osteoarthritis Classification Using 3D CNN and MRI.” Applied Science 11, no. 11 (2021).
Matthew Harkey, Erin Little, Mikaela Thompson, Ming Zhang, Jeffrey B. Driban, and Matthew Salzler. “Femoral Cartilage Ultrasound Echo-Intensity Associates with Arthroscopic Cartilage Damage.” Ultrasound in Medicine and Biology 47, no. 1 (2021).
Matthew Harkey, Jeffrey B. Driban, Christopher Kuenze, Ming Zhang, and Matthew J. Salzler. “Pre-Operative Femoral Cartilage Ultrasound Echo-Intensity Associates with Patient-Reported Outcomes at One Year Following Anterior Cruciate Ligament Reconstruction.” Ultrasound in Medicine and Biology 47, no. 7 (2021).
Jeffrey B. Driban, Lori Lyn Price, Michael LaValley, Grace Lo, Ming Zhang, and Matthew Harkey. “Novel Framework for Measuring Whole Knee Osteoarthritis Progression Using Magnetic Resonance Imaging.” Arthritis Care & Research 74, no. 5 (2020): 799–808.
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. “Composite Quantitative Knee Structure Metrics Predict the Development of Accelerated Knee Osteoarthritis: Data from the Osteoarthritis Initiative.” BMC Musculoskeletal Disorders 21, article 299, (2020).
Caroline Lisee, Melanie L. McGrath, Christopher Kuenze, Ming Zhang, Matt Salzler, Jeffrey B. Driban, and Matthew S. Harkey. “Novel Semi-Automated Ultrasound Segmentation Technique for Assessing Average Compartmental Femoral Articular Cartilage Thickness.” Journal of Sport Rehabilitation 29, no. 7 (2020).
Rania Almajalid, Juan Shan, Yaodong Du, and Ming Zhang*. “Identification of Knee Cartilage Changing Pattern.” Applied Sciences 9, no. 17 (2019): 3469.
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 “Early Pre-Radiographic Structural Pathology Precedes the Onset of Accelerated Knee Osteoarthritis: Data from the Osteoarthritis Initiative.” BMC Musculoskeletal Disorders 20, article 241 (2019).
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. “The Role of Magnetic Resonance Imaging in Classifying Who Will Develop Accelerated Knee Osteoarthritis.” Journal of Orthopaedic Research 37, no. 11 (2019): 2420–2428.
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. “Association Between Declining Walking Speed and Increasing Bone Marrow Lesion and Effusion Volume in Individuals with Accelerated Knee Osteoarthritis.” Arthritis Care & Research 71, no. 2 (2019): 259–270.
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. “Diffuse Tibiofemoral Cartilage Change Prior to the Development of Incident Accelerated Knee Osteoarthritis: Data from the Osteoarthritis Initiative.” Clinical Anatomy 32, no.3 (2019): 369–378.
Yaodong Du, Juan Shan, Rania Almajalid, and Ming Zhang*. “A Novel Method to Predict Knee Osteoarthritis Progression on MRI using Machine Learning Methods.” IEEE Transactions on NanoBioscience 17, no. 3 (2018): 228–236.
Shujun Fu, Ming Zhang, Chengpo Mu, and Xiaohong Shen. “Advancements of Medical Image Enhancement in Healthcare Applications.” Journal of Healthcare Engineering 2018, article 7035264 (2018).
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. “Accelerated Knee Osteoarthritis is Characterized by Destabilizing Meniscal Tears and Pre-Radiographic Structural Disease Burden.” Arthritis & Rheumatology 71, no. 7 (2018): 1089–1100.
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. “Bioluminescence and Second Harmonic Generation Imaging Reveal Dynamic Changes in the Inflammatory and Collagen Landscape in Early Osteoarthritis.” Laboratory Investigation 98, no. 5 (2018): 656–669.
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. “Inflammation, and Glucose Homeostasis are Associated with Specific Structural Features Among Adults without Knee Osteoarthritis: A Cross-Sectional Study from the Osteoarthritis Initiative.” BMC Musculoskeletal Disorders 19, no. 1 (2018).
Timothy E. McAlindon, Michael LaValley, William F. Harvey, Lori Lyn Price, Jeffrey B. Driban, Ming Zhang, and Rob Ward. “Effects of Intra-Articular Triamcinolone vs Saline on Knee Cartilage Volume and Pain in Patients with Knee Osteoarthritis: A Randomized Clinical Trial.” Journal of the American Medical Association (JAMA) 317, no. 19 (2017): 1967–1975.
Averi L. Gibson, Carrie K. Hui Mingalone, Andrea T. Foote, Tomoya Uchimura, Ming Zhang, and Li Zeng. Wnt7a Inhibits IL-1ᵝ Induced Catabolic Gene Expression and Prevents Articular Cartilage Damage in Experimental Osteoarthritis.” Scientific Reports 7, article 41823 (2017).
Ming Zhang, Jeffrey B. Driban, Lori Lyn Price, Daniel Harper, Grace H. Lo, Eric Miller, Robert J. Ward, and Timothy E. McAlindon. “Development of A Rapid Cartilage Damage Quantification Method for the Lateral Tibiofemoral Compartment Using Magnetic Resonance Images: Data from the Osteoarthritis Initiative.” BioMed Research International 2015, article 634275 (2015).
Ming Zhang, Jeffrey B. Driban, Lori Lyn Price, Daniel Harper, Grace H. Lo, Eric Miller, Robert J. Ward, and Timothy E. McAlindon. “Magnetic Resonance Image Sequence Influences the Relationship between Bone Marrow Lesions Volume and Pain: Data from Osteoarthritis Initiative.” BioMed Research International 2015, article 731903 (2015).
Ming Zhang, Jeffrey B. Driban, Lori Lyn Price, Daniel Harper, Grace H. Lo, Eric Miller, Robert J. Ward, and Timothy E. McAlindon. “Development of A Rapid Knee Cartilage Damage Quantification Method Using Magnetic Resonance Images.” BMC Musculoskeletal Disorders 15, no. 264 (2014).
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. “Validation of quantitative magnetic resonance imaging-based apparent bone volume fraction in peri-articular tibial bone of cadaveric knees.” BMC Musculoskeletal Disorders 15, no. 143 (2014).
Ling Zhang, Ming Zhang, and H. D. Cheng. “Color Image Segmentation Based on Neutrosophic Method.” Optical Engineering 51, no. 3, 037009 (2012).
Ling Zhang and Ming Zhang. “Fully Automatic Image Segmentation Using an Extended Fuzzy Set.” Communications in Computer and Information Science 159, no. 8 (2011): 412–417.
Ming Zhang, Ling Zhang, and H. D. Cheng. “Segmentation of Breast Ultrasound Images Based on Neutrosophic Method.” Optical Engineering 49, no. 11 (2010): 117001–117012.
Ming Zhang, Ling Zhang, and H. D. Cheng. “A Neutrosophic Approach to Image Segmentation Based on Watershed Approach.” Signal Processing 90, no. 5 (2010): 1510–1517.
H. D. Cheng, Rui Min, and Ming Zhang. “Automatic Wavelet base selection and its application to contrast enhancement.” Signal Processing 90, no. 4 (2010): 1279–1289.
Refereed Conferences (*corresponding author)
Shao-Hsien Liu, Jonggyu Baek, Kate L. Lapane, Julieann C. Patarini, Ming Zhang, Matthew S. Harkey, Grace H. Lo, Charles B Eaton, Jamie MacKay, Timothy E. McAlindon, and Jeffrey B. Driban. “Is Structural Change in One Knee Associated with Longitudinal Changes in Knee Pain or Structural Change in the Contralateral Knee? Data From the Osteoarthritis Initiative.” Osteoarthritis and Cartilage, Arthritis Rheumatol (2026).
J. C. Patarini, Timothy E. McAlindon, J. Baek, E. Kirillov, N. Vo, M. J. Richard, Ming Zhang, M. S. Harkey, G. H. Lo, S. H. Liu, K. Lapane, C. B. Eaton, J. MacKay, and J. B. Driban. “Early Detection of Knee—The Role of a Composite Disease Activity Score: Data from the Osteoarthritis Initiative.” Osteoarthritis Imaging 5, supp 1 (2025): 100290.
J. T. Harkey, Timothy E. McAlindon, J. Baek, J. MacKay, Ming Zhang, G. H. Lo, S. H. Liu, C. B. Eaton, M. S. Harkey, J. C. Patarini, and J. B. Driban. “From Meniscal Degeneration To Osteoarthritis: Tracking Early Disease Progression with MRI-based Composite Scores: Data from the Osteoarthritis Initiative.” Osteoarthritis Imaging 5, supp 1 (2025): 100290.
Jeffrey B. Driban, J. Baek, J. C. Patarini, E. Kirillov, N. Vo, M. J. Richard, Ming Zhang, M. S. Harkey, Grace H. Lo, Shao-Hsien Liu, Charles B. Eaton, Jamie MacKay, M. F. Barbe, and Timothy E. McAlindon. “Revealing the Hidden Culprit: Contralateral Knee’s Role in Osteoarthritis Disease Activity: Data from the Osteoarthritis Initiative.” Osteoarthritis Imaging 5, supp 1 (2025): 100284.
Zhen Cao, Juan Shan, Xiaohan Jiang, Qiong Wang, Jeffrey B. Driban, Timothy McAlindon, and Ming Zhang*. “Enhancing Hand Osteoarthritis Classification with Generative AI: A CycleGAN and EfficientNetB7 Approach.” Arthritis Rheumatol 77, supp 9 (2025).
Jeffrey B. Driban, Kate Lapane, Shao-Hsien Liu, Jonngyu Baek, Grace H. Lo, Matthew S. Harkey, Charles B. Eaton, Jamie MacKay, Timothy E. McAlindon, Mohammad Chowdhury, Zhen Cao, Juan Shan, and Ming Zhang*. “Automated Effusion-Synovitis Volume is Prognostic and Responsive to Knee Osteoarthritis Progression: Data from the Osteoarthritis Initiative.” Arthritis Rheumatol 77, supp 9 (2025).
Patarini, J. C., McAlindon, T. E., Baek, J., Kirillov, E., Vo, N., Richard, M. J., Zhang, M., Harkey, M. S., Lo, G. H., Liu, S. H., Lapane, K., Eaton, C. B., MacKay, J., and Driban, J. B. “A Composite Cumulative Cartilage Damage Metric Predicts Incident Symptomatic Knee OA: Data from the Osteoarthritis Initiative.” Arthritis Rheumatol 77, supp 9 (2025).
Driban, J. B., Baek, J., Patarini, J. C., Kirillov, E., Vo, N., Richard, M. J., Zhang, M., Harkey, M. S., Lo, G. H., Lapane, K., Liu, S. H., Eaton, C. B., MacKay, J., Harvey, J. T., and McAlindon, T. E. “Disease Activity is a Novel Biomarker Associated with Knee Pain: Data from the Osteoarthritis Initiative.” Arthritis Rheumatol 77, supp 9 (2025).
Shihua Qin, Qiong Wang, Juan Shan, Jeffrey B. Driban, Timothy McAlindon, Kevin Wang, and Ming Zhang*. “Optimized Deep Learning Method for Automated Segmentation of Bone Marrow Lesions.” Osteoarthritis and Cartilage 33, S95 (2025).
Shihua Qin, Ming Zhang, Juan Shan, Taehoon Shin, Jonghye Woo, and Fangxu Xing. “Semi-Supervised Bone Marrow Lesion Detection from Knee MRI Segmentation Using Mask Inpainting Models.” SPIE Medical Imaging vol. 13406 (2025).
Hetali Chavda, Juan Shan, and Ming Zhang*. “Automatic Measurement of Joint Space Width from Hand Radiographs using Deep Learning Models.” 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece (2024): 1–5.
Ming Zhang*, Danti Yang, Samantha Kuang, Jeffrey Driban, Timothy McAlindon, and Juan Shan. “152 Prediction Models for Accelerated Knee Osteoarthritis Study.” Osteoarthritis and Cartilage vol .32 (2024): S114–S115.
Yuan Gao, Juan Shan, Raj Ponnusamy, Jordan Blackadar, Carmine Guida, Jeffrey B. Driban, Timothy McAlindon, and Ming Zhang*. “Automatically Detect Finger Joint Center and Angle on Hand X-ray: A Deep Learning Mode.” Arthritis Rheumatol 75 (2023): 935–937.
Mohammad Z Chowdhury, Ming Zhang*, Xinyue Sun, and Juan Shan. “Automatic Segmentation of Effusion from Knee MRI Images.” Osteoarthritis and Cartilage 31, no. 5 (2023): P675.
Zhiheng Chang, Juan Shan, Jeffrey B. Driban, Timothy McAlindon, Jeffrey Duryea, Xinyue Sun, Charles B. Eaton, Tino Cheung, Carmine Guida, Raymond Ren, and Ming Zhang*. “Automated Joint Space Width Measurement for Hand Osteoarthritis: A Deep Learning Approach.” Arthritis Rheumatol 74, supp 9 (2022).
Yue Wang, Ming Zhang*, Tino Cheung, Carmine Guida, Raymond Ren, and Juan Shan. “Finger Joint Segmentation Using Machine Learning and Minimized Training Set.” Osteoarthritis and Cartilage 30, supplement 1 (2022).
Carmin Guida, Ming Zhang*, Jordan Blackadar, Zilong Yang, Tino Cheung, Jeffrey B. Driban, Jeffrey Duryea, Charles B. Eaton, Timothy McAlindon, and Juan Shan. “Automated Hand Osteoarthritis Classification Using Convolutional Neural Networks.” IEEE International Conference on Machine Learning and Applications (ICMLA), 2021.
Barak Michaely, Ming Zhang*, and Juan Shan. “Bone Marrow Lesion Segmentation Using Synthetic Data and Deep Learning Models.” Arthritis and Rheumatism 73, supplement 10 (2021).
Zilong Yang, Juan Shan, Carmine Guida, Jordan Blackadar, Tino Cheung, Jeffrey Driban, Timothy McAlindon, and Ming Zhang*. “Automatic Hand Segmentation from Hand X-rays Using Minimized Training Samples and Machine Learning Models.” Arthritis and Rheumatism 73, supplement 10 (2021).
Matthew Harkey, Erin Little, Mikaela Thompson, Ming Zhang, Jeffrey B. Driban, and Matt Salzler. “Femoral Cartilage Ultrasound Echo-Intensity Associates With Arthroscopic Cartilage Damage in People Following Anterior Cruciate Ligament Reconstruction.” Arthritis and Rheumatism 72, supplement 10 (2020).
Matthew Harkey, Erin Little, Matt Salzler, Mikaela Thompson, Ming Zhang, and Jeffrey B. Driban. “Ultrasound-based Cartilage Outcomes Differentiate Health and Damaged Medial Cartilage After Anterior Cruciate Ligament Injury: A Preliminary Investigation.” Osteoarthritis and Cartilage 28, supplement 1 (2020).
Yaodong Du, Ming Zhang*, Garrett Stonis, and Shan Juan. “Topological Data Analysis on Magnetic Resonance Image Biomarkers.” IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019.
Rania Almajalid, Juan Shan, Ming Zhang*. “Knee Bone Segmentation on Three-Dimensional MRI.” IEEE International Conference on Machine Learning and Applications (ICMLA), 2019.
Matthew Harkey, Lori Lyn Price, Grace H. Lo, Ming Zhang, Jincheng Pang, Timothy E. McAlindon, and Jeffrey B. Driban. “A Novel Composite Score Reflecting Disease Activity Predicts Future Knee Replacements: Data from the Osteoarthritis Initiative.” Arthritis Rheumatol. 71, supplement 10 (2019).
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, Arthritis Rheumatol. 71, supplement 10 (2019).
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. “Diffuse Tibiofemoral Cartilage Change Prior to the Development of Accelerated Knee Osteoarthritis: Data from the Osteoarthritis Initiative.” Osteoarthritis and Cartilage 27, supplement 1 (2019): S331–S332.
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. “Novel Composite Knee Structure Metrics of Disease Activity and Cumulative Damage Predict the Development of Accelerated Knee Osteoarthritis : Data from the Osteoarthritis Initiative.” Osteoarthritis and Cartilage 27, supplement 1 (2019): S333.
Ming Zhang*, Juan Shan, Yaodong Du, Rania Almajalid, Iris Su, and Joseph DelVecchio. “Whole Knee Cartilage Quantification Based on Informative Locations.” IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018.
Rania Almajalid, Juan Shan, Yaodong Du, and Ming Zhang*. “Development of a Deep Learning Based Method for Breast Ultrasound Image Segmentation.” IEEE International Conference on Machine Learning and Applications (ICMLA), 2018.
Yaodong Du, Juan Shan, Rania Almajalid, Tomer Alon, and Ming Zhang*. “Using Whole Knee Cartilage Damage Index to Predict Knee Osteoarthritis: A Two-year Longitudinal Study.” IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018: 623–628.
Yaodong Du, Juan Shan, Rania Almajalid, and Ming Zhang*. “Knee Osteoarthritis Severity Level Classification Using Whole Knee Cartilage Damage Index and Artificial Neural Network.” IEEE/ACM Conference on Connected Health: Applications, Systems, and Engineering Technology (CHASE), 2018.
Harkey, M. S., Zhang, M., Blackburn, J. T., Davis, H., Driban, J. B., and Pietrosimone, B. “Ultrasonographic Assessment of Acute Femoral Cartilage Deformation Following Walking and Running in Individuals with an Anterior Cruciate Ligament Reconstruction.” National Athletic Trainers’ Association Clinical Symposia, 2018.
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. “Early Pre-Radiographic Structural Pathology Precedes the Onset of Accelerated Knee Osteoarthritis: Data from the Osteoarthritis Initiative.” Arthritis and Rheumatism 70, supplement 10 (2018).
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. “Accelerated Knee Osteoarthritis Is Characterized By Destabilizing Meniscal Tears and Pre-Radiographic Structural Disease Burden.” Arthritis and Rheumatism 70, supplement 10 (2018).
Lori Lyn Price, Jeffrey B. Driban, Grace H. Lo, Ming Zhang, Michael P. LaValley, and Timothy E. McAlindon. “Magnetic 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.” Arthritis and Rheumatism 70, supplement 10 (2018).
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. “Magnetic Resonance Imaging Features Can Classify Adults Who Will Develop Accelerated Knee Osteoarthritis.” Arthritis and Rheumatism 70, supplement 10 (2018).
Yaodong Du, Juan Shan, and Ming Zhang. “Knee Osteoarthritis Prediction on MR Images Using Cartilage Damage Index on MR Images and Machine Learning Methods.” IEEE International Conference on Bioinformatics, and Biomedicine (BIBM), 2017.
Canavatchel, A. R., Price, L. L., Driban, J. B., Zhang, M., Lo, G. H., and McAlindon, T. E. “An Exploratory Analysis of Physical Activity Levels and The Presence of Bone Marrow Lesions in Adults with Knee Osteoarthritis: Data from Osteoarthritis Initiative.” Arthritis and Rheumatism 69, supplement 10 (2017).
England, K. M., Hammoud, K., Ishak, R., Fitzsimmons, S., Canavatchel, A. R., Zhang, M., McAlindon, T. E., Driban, J. B., and Ward, R. J. “Normal and Abnormal Tibial Tuberosity—Trochlear Groove Distance is Positively Correlated with Patellar Cartilage Loss—Data from the Osteoarthritis Initiative.” Radiology Society of North America 102nd Scientific Assembly and Annual Meeting (2017).
England, K. M., Hammoud, K., Ishak, R., Fitzsimmons, S., Canavatchel, A. R., Zhang, M., McAlindon, T. E., Driban, J. B., and Ward, R. J. “Patella Alta is associated with accelerated medial not lateral patellar cartilage loss.” Radiology Society of North America 102nd Scientific Assembly and Annual Meeting (2017).
England, K. M., Hammoud, K., Ishak, R., Fitzsimmons, S., Canavatchel, A. R., Zhang, M., McAlindon, T. E., Driban, J. B., and Ward, R. J. “Trochlea Dysplasia is associated with increased lateral patellar cartilage loss.” Radiology Society of North America 102nd Scientific Assembly and Annual Meeting (2017).
Zhang, M., Price, L. L., Canavatchel, A. R., Driban, J. B., Yuan, P. W., Lo, G. H., and McAlindon, T. E. “Cartilage 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.” Arthritis and Rheumatism 68, supplement 10 (2016).
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. “Visualizing Different Patterns of Cartilage Change a Two-Year Study of Data from the Osteoarthritis Initiative.” Arthritis and Rheumatism 68, supplement 10 (2016).
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. “Inflammation and Glucose Homeostasis are Associated with Specific Structural Features Among Adults without Knee Osteoarthritis: Data from the Osteoarthritis Initiative.” Arthritis and Rheumatism 68, supplement 10 (2016).
Fatimah Al Eid, McAlindon, T. E., Zhang, M., and Driban, J. B. “The Clinical Utility of the Bulge Sign in Evaluating Knee Osteoarthritis.” Arthritis and Rheumatism 68, supplement 10 (2016).
Zhang, M., Canavatchel, A. R., Driban, J. B., Price, L. L., McAlindon, T. E. “Patellar cartilage change is not associated with difficulty with stairs and crepitus: a two-year longitudinal study of Data from the osteoarthritis initiative.” Osteoarthritis and Cartilage 24, supplement 1 (2016): S356–S357.
Zhang, M., Driban, J. B., Price, L. L., Miller, E., McAlindon, T. E. “A Magnetic Resonance Imaging Based Rapid Knee Cartilage Quantification Method for the Lateral Tibiofemoral Compartment: Data from the osteoarthritis initiative.” Osteoarthritis and Cartilage 23, supplement 2 (2015): A209–A210.
Zhang, M., Driban, J. B., Price, L. L., Lo, G. H., and McAlindon, T. E. “Bone Marrow Lesions quantitatively Evaluated on Fluid Sensitive Sequences, not Cartilage Sequences, Correlate with Pain: Data from the Osteoarthritis Initiative.” Osteoarthritis and Cartilage 23, supplement 2 (2015): A207–A208.
Lo, G. H., Schneider, E., Driban, J. B., Price, L. L., Zhang, M., Harper, D., Eaton, C. B., and McAlindon, T. E. “Relative Periarticular Bone Mineral Density Associates with Articular Cartilage Damage Cross-sectionally and Longitudinally.” Osteoarthritis and Cartilage 23, supplement 2 (2015): A207–A208.
Zhang, M., Driban, J. B., Price, L. L., Miller, E., and McAlindon, T. E. “Validation of Cartilage Damage Index with Joint Space Width and Static Alignment.” Osteoarthritis and Cartilage 22, supplement S299 (2014).
Zhang, M., Driban, J. B., Price, L. L., Miller, E., and McAlindon, T. E. “Study of Cartilage Damage Index with Joint Space Narrowing and Kellgren-Lawrence Grade.” Osteoarthritis and Cartilage 22, supplement S297–S298 (2014).
Zhang, M., Driban, J. B., Price, L. L., Miller, E., and McAlindon, T. E. “Development and Validation of A Rapid Cartilage Quantification Method.” Arthritis and Rheumatism 65, supplement S479 (2013).
Lo, G. H., Price, L. L., Zhang, M., Driban, J. B., Harper, D., and McAlindon, T. E. “Exploratory Factor Analysis of a Parsimonious Medical Cartilage Damage Index Reveals One Factor Associated with Radiographic Severity and Symptoms.” Arthritis and Rheumatism 65, supplement S241 (2013)
Zhang, L., and Zhang, M. “A Fully Automatic Image Segmentation Using an Extended Fuzzy Set.” Computer Science for Environmental Engineering and EcoInformatics (2011): 412–417.
Invited Talks
“AI in Healthcare and Academia.” University of Massachusetts, School of Nursing, 2025.
“Machine Learning in Medical Image Processing.” International Conference on Signal Processing and Machine Learning (SPML), 2024.
US Patent
Objective Assessment of Joint Damage, issued on May 20, 2025 (patent No. 12,307,671).
Grants
Pending Grants
NIH R01: Site-PI, 2026–2031. Interpretation and Utility of Novel Composite Structural Endpoints of Cumulative Damage and Disease Activity in Knee Osteoarthritis (Collaboration with University of Massachusetts, received a 2-percentile score). Budget Amount: $3.3M
NIH STTR (R41): Co-I, 2025–2026. Composite Osteoarthritis Biomarker Software for MRIs (COmBS MRIs) (Collaboration with University of Massachusetts). Award Amount: $500,000
Ongoing Grants
BU Academic Program Development & Innovation Award: PI, 2025–2026. Synergetic Learning through AI New Courses and Laboratory Hands-on Experience. Budget Amount: $10,000
BU Chadwick: PI, 2024–2025. Enrich Students’ Artificial Intelligence and Computer Vision Hands-on Experience. Budget Amount: $5,000
NIH R01: Co-I, 2021–2026. Interpretation and Utility of Novel Composite Structural Endpoints of Cumulative Damage and Disease Activity in Knee Osteoarthritis. Award Amount: $3.9M
Submitted Grants
NSF SCH: Leading PI, 2024–2028 (submitted in 2023). Advancing OA Pathology Research Through Multimodal Data Fusion from Smart Phone Apps, Wearable Sensors, MRI, and X-ray Images. Budget Amount: $1.2M
Completed Grants
FDA U01: Co-I (collaboration with Tufts Medical Center), 2020–2021. Cumulative Damage and Disease Activity Metrics as Prognostic Enrichment Imaging Biomarkers for Knee Osteoarthritis Trials. Award Amount: $249,000
NSF: PI (collaboration with Pace University), 2017–2022. A Novel 3D Image Predictive Model for Osteoarthritis Disease. Award Amount: $300,000
Wentworth: Sole PI, 2021–2024. Henry C. Lord Endowed Professorship. Award Amount: $60,000
Foundation: Sole PI, 2015–2019. Development of a Semi-Automated Knee OA Cartilage Damage Index. Award Amount: $225,000
NIH U01: Postdoc with PI McAlindon (Tufts), 2014–2017. Rapid Quantitative Composited MRI Measurement of Knee OA Structural Progression. Award Amount: $660,000
NIH R01: Postdoc with PI McAlindon (Tufts), 2010–2015. Effect on Intra-Articular Steroids on Structural Progression of Knee OA: An RCT. Award Amount: $3.3M
NIH R01: Postdoc with PI McAlindon (Tufts), 2010–2015. The Role of Bone in Osteoarthritis Progression. Award Amount: $3.1M