10 papers
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…
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…
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…
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…
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…
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…