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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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11 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…

cs.CV2025

FIA-Edit: Frequency-Interactive Attention for Efficient and High-Fidelity Inversion-Free Text-Guided Image Editing

Kaixiang Yang, Boyang Shen, Xin Li +6

Text-guided image editing has advanced rapidly with the rise of diffusion models. While flow-based inversion-free methods offer high efficiency by avoiding latent inversion, they o…

cs.CV2025

MAUGIF: Mechanism-Aware Unsupervised General Image Fusion via Dual Cross-Image Autoencoders

Kunjing Yang, Zhiwei Wang, Minru Bai

Image fusion aims to integrate structural and complementary information from multi-source images. However, existing fusion methods are often either highly task-specific, or general…

cs.CV2025

Bidirectional Mammogram View Translation with Column-Aware and Implicit 3D Conditional Diffusion

Xin Li, Kaixiang Yang, Qiang Li +1

Dual-view mammography, including craniocaudal (CC) and mediolateral oblique (MLO) projections, offers complementary anatomical views crucial for breast cancer diagnosis. However, i…

cs.CV2025

CoStoDet-DDPM: Collaborative Training of Stochastic and Deterministic Models Improves Surgical Workflow Anticipation and Recognition

Kaixiang Yang, Xin Li, Qiang Li +1

Anticipating and recognizing surgical workflows are critical for intelligent surgical assistance systems. However, existing methods rely on deterministic decision-making, strugglin…

cs.CV2024

DACAT: Dual-stream Adaptive Clip-aware Time Modeling for Robust Online Surgical Phase Recognition

Kaixiang Yang, Qiang Li, Zhiwei Wang

Surgical phase recognition has become a crucial requirement in laparoscopic surgery, enabling various clinical applications like surgical risk forecasting. Current methods typicall…

cs.CV2024

Decoupling Feature Representations of Ego and Other Modalities for Incomplete Multi-modal Brain Tumor Segmentation

Kaixiang Yang, Wenqi Shan, Xudong Li +6

Multi-modal brain tumor segmentation typically involves four magnetic resonance imaging (MRI) modalities, while incomplete modalities significantly degrade performance. Existing so…