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Ting Ma

3 papers indexed

arxivcs.CV2026-07-14

UniMedSeg: Unified In-Context Learning for Multi-Paradigm 2D/3D Medical Image Segmentation

Yunzhou Li, Jiesi Hu, Yanwu Yang, Hanyang Peng, Chenfei Ye, Jianfeng Cao, et al.

Medical image segmentation foundation models are expected to generalize across diverse clinical scenarios, yet existing universal methods remain fragmented by prompt paradigms and spatial dimensions. Visual in-context learning, interactive segmentation, and language-guided segmen…

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arxivcs.CV2026-06-29

Progressive Self-Supervised Learning with Individualized Community Assignment for Brain Network Analysis

Hairui Chen, Yanwu Yang, Jianfeng Cao, Hanyang Peng, Chenfei Ye, Ting Ma

Brain networks exhibit a modular community structure that varies across individuals and neurological conditions. However, existing self-supervised learning (SSL) methods often overlook this heterogeneity, relying on generic masking strategies that fail to capture subject-specific…

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arxivcs.CV2026-06-26

Controllable Histopathology Image Synthesis with Training-free Structural Initialization and Textural Modulation

Yuheng Qiu, Jingyi Luo, Chenfei Ye, Ting Ma, Jianfeng Cao

Deep learning has demonstrated remarkable success in high-throughput histopathology image analysis. However, the performance of learning-based models critically depends on the quality and size of annotations by expert pathologists, which is a resource-intensive and time-consuming…

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