| Automatic breast ultrasound image segmentation: A survey M Xian, Y Zhang, HD Cheng, F Xu, B Zhang, J Ding Pattern Recognition 79, 340-355, 2018 | 222 | 2018 |
| Quantitative measurement for thyroid cancer characterization based on elastography J Ding, H Cheng, C Ning, J Huang, Y Zhang Journal of Ultrasound in Medicine 30 (9), 1259-1266, 2011 | 137 | 2011 |
| Breast ultrasound image classification based on multiple-instance learning J Ding, HD Cheng, J Huang, J Liu, Y Zhang Journal of digital imaging 25, 620-627, 2012 | 65 | 2012 |
| A benchmark for breast ultrasound image segmentation (BUSIS) M Xian, Y Zhang, HD Cheng, F Xu, K Huang, B Zhang, J Ding, C Ning, ... Infinite Study, 2018 | 62 | 2018 |
| A saliency model for automated tumor detection in breast ultrasound images H Shao, Y Zhang, M Xian, HD Cheng, F Xu, J Ding 2015 IEEE International Conference on Image Processing (ICIP), 1424-1428, 2015 | 48 | 2015 |
| BUSIS: a benchmark for breast ultrasound image segmentation Y Zhang, M Xian, HD Cheng, B Shareef, J Ding, F Xu, K Huang, B Zhang, ... Healthcare 10 (4), 729, 2022 | 46 | 2022 |
| An improved quantitative measurement for thyroid cancer detection based on elastography J Ding, HD Cheng, J Huang, Y Zhang, J Liu European journal of radiology 81 (4), 800-805, 2012 | 46 | 2012 |
| Neutro-connectedness cut M Xian, Y Zhang, HD Cheng, F Xu, J Ding IEEE Transactions on Image Processing 25 (10), 4691-4703, 2016 | 35 | 2016 |
| Automatic thyroid ultrasound image segmentation based on u-shaped network J Ding, Z Huang, M Shi, C Ning 2019 12th International Congress on Image and Signal Processing, BioMedical …, 2019 | 30 | 2019 |
| Cmu-net: a strong convmixer-based medical ultrasound image segmentation network F Tang, L Wang, C Ning, M Xian, J Ding 2023 IEEE 20th international symposium on biomedical imaging (ISBI), 1-5, 2023 | 28 | 2023 |
| Local-weighted Citation-kNN algorithm for breast ultrasound image classification J Ding, HD Cheng, M Xian, Y Zhang, F Xu Optik 126 (24), 5188-5193, 2015 | 25 | 2015 |
| Multiple-instance learning with global and local features for thyroid ultrasound image classification J Ding, HD Cheng, J Huang, Y Zhang 2014 7th International Conference on Biomedical Engineering and Informatics …, 2014 | 17 | 2014 |
| EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer J Shi, A Vakanski, M Xian, J Ding, C Ning 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 14 | 2022 |
| EISeg: Effective interactive segmentation M Xian, F Xu, HD Cheng, Y Zhang, J Ding 2016 23rd International Conference on Pattern Recognition (ICPR), 1982-1987, 2016 | 13 | 2016 |
| Cmunext: An efficient medical image segmentation network based on large kernel and skip fusion F Tang, J Ding, L Wang, C Ning, SK Zhou arXiv preprint arXiv:2308.01239, 2023 | 11 | 2023 |
| Tumor saliency estimation for breast ultrasound images via breast anatomy modeling F Xu, Y Zhang, HD Cheng, B Zhang, J Ding, C Ning, Y Wang Artificial Intelligence in Medicine 119, 102155, 2021 | 11 | 2021 |
| A novel quantitative measurement for thyroid cancer detection based on elastography J Ding, HD Cheng, J Huang, Y Zhang, C Ning 2011 4th International Congress on Image and Signal Processing 4, 1801-1804, 2011 | 11 | 2011 |
| Multi-level global context cross consistency model for semi-supervised ultrasound image segmentation with diffusion model F Tang, J Ding, L Wang, M Xian, C Ning arXiv preprint arXiv:2305.09447, 2023 | 10 | 2023 |
| Unsupervised saliency estimation based on robust hypotheses F Xu, M Xian, HD Cheng, J Ding, Y Zhang 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-6, 2016 | 8 | 2016 |
| A Benchmark for Breast Ultrasound Image Classification BM Shareef, M Xian, S Sun, A Vakanski, J Ding, C Ning, HD Cheng Available at SSRN 4339660, 2023 | 7 | 2023 |
