Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Dive into the research topics where Ding Ma is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Cluster-filter-based pseudo-label refinement for source-free domain adaptation fundus image segmentation
Zhang, Y., Ma, D. & Wu, X., Jul 2026, In: Pattern Recognition. 175, 112996.Research output: Contribution to journal › Article › peer-review
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EyeKey: Self-Supervised Keypoint Detection and Description Network Based on Local Feature Saliency for Retinal Image Global Registration
Liang, Y., Ma, D. & Wu, X., 2026, In: IEEE Transactions on Image Processing. 35, p. 4772-4787 16 p.Research output: Contribution to journal › Article › peer-review
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WFDENet: Wavelet-based frequency decomposition and enhancement network for diabetic retinopathy lesion segmentation
Li, X., Ma, D. & Wu, X., Apr 2026, In: Pattern Recognition. 172, 112492.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
Source-free domain adaptation framework based on confidence constrained mean teacher for fundus image segmentation
Zhang, Y., Ma, D. & Wu, X., 1 Mar 2025, In: Neurocomputing. 620, 129262.Research output: Contribution to journal › Article › peer-review
9 Link opens in a new tab Scopus citations -
Enhancing Feature Representation for Anomaly Detection via Local-and-Global Temporal Relations and a Multi-stage Memory
Li, X., Ma, D. & Wu, X., 2024, Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Proceedings. Liu, Q., Wang, H., Ji, R., Ma, Z., Zheng, W., Zha, H., Chen, X. & Wang, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 121-133 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14430 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review