Ming Zhang
Orcid: 0000-0003-1076-1973Affiliations:
- Boston University, Department of Computer Science, Boston, MA, USA
- Tufts Medical Center, Division of Rheumatology, Boston, MA, USA
- Utah State University, Department of Computer Science, Logan, UT, USA (PhD)
According to our database1,
Ming Zhang authored at least 14 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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Bibliography
2024
Semi-Supervised Bone Marrow Lesion Detection from Knee MRI Segmentation Using Mask Inpainting Models.
CoRR, 2024
Automatic Measurement of Joint Space Width from Hand Radiographs Using Deep Learning Models.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Automatic measuring of finger joint space width on hand radiograph using deep learning and conventional computer vision methods.
Biomed. Signal Process. Control., July, 2023
Improving knee osteoarthritis classification using multimodal intermediate fusion of X-ray, MRI, and clinical information.
Neural Comput. Appl., May, 2023
2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Development of a Deep-Learning-Based Method for Breast Ultrasound Image Segmentation.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Knee Osteoarthritis Severity Level Classification Using Whole Knee Cartilage Damage Index and ANN.
Proceedings of the Third IEEE/ACM International Conference on Connected Health: Applications, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Using Whole Knee Cartilage Damage Index to Predict Knee Osteoarthritis: A Two-year Longitudinal Study.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Knee osteoarthritis prediction on MR images using cartilage damage index and machine learning methods.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2010
Signal Process., 2010
2007