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20232026
most citedSegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma

10 citations · 10 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Geometry-Aligned Semantic Matching for Cross-Modal Planar Image Registration

Zhiwei Wang, Defeng He, Yuxing Li +2

Cross-modal image matching establishes stable and accurate geometric correspondences across modalities for planar registration. Existing semantic representations provide cross-moda…

cs.CV2026

Echo-DM: Ultrasound Marker Removal via Conditional Latent Diffusion and Region-Aware Fusion

Zhiwei Wang, Tao Huang, Wentao Jiang +7

Clinical ultrasound images often contain artificial markers, such as measurement calipers and text, to assist diagnostic interpretation and comparison. However, these markers can i…

cs.CV2026

Joint Segmentation and Grading with Iterative Optimization for Multimodal Glaucoma Diagnosis

Zhiwei Wang, Yuxing Li, Meilu Zhu +2

Accurate diagnosis of glaucoma is challenging, as early-stage changes are subtle and often lack clear structural or appearance cues. Most existing approaches rely on a single modal…

cs.CV2026

Personalized Federated Learning with Residual Fisher Information for Medical Image Segmentation

Meilu Zhu, Yuxing Li, Zhiwei Wang +1

Federated learning enables multiple clients (institutions) to collaboratively train machine learning models without sharing their private data. To address the challenge of data het…

cs.CV2026

FL-MedSegBench: A Comprehensive Benchmark for Federated Learning on Medical Image Segmentation

Meilu Zhu, Zhiwei Wang, Axiu Mao +4

Federated learning (FL) offers a privacy-preserving paradigm for collaborative medical image analysis without sharing raw data. However, the absence of standardized benchmarks for…