1 citations · 1 across the 3 of their papers we have counts for
4 papers
Cross-modal ultra-scale learning with tri-modalities of renal biopsy images for glomerular multi-disease auxiliary diagnosis
Kaixing Long, Danyi Weng, Yun Mi +8
Constructing a multi-modal automatic classification model based on three types of renal biopsy images can assist pathologists in glomerular multi-disease identification. However, t…
Unleashing Diffusion and State Space Models for Medical Image Segmentation
Rong Wu, Ziqi Chen, Liming Zhong +2
Existing segmentation models trained on a single medical imaging dataset often lack robustness when encountering unseen organs or tumors. Developing a robust model capable of ident…
Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning
Chuanpu Li, Zeli Chen, Yiwen Zhang +2
Medical image synthesis remains challenging due to misalignment noise during training. Existing methods have attempted to address this challenge by incorporating a registration-gui…
DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy
Yiwen Zhang, Chuanpu Li, Liming Zhong +3
Treatment planning, which is a critical component of the radiotherapy workflow, is typically carried out by a medical physicist in a time-consuming trial-and-error manner. Previous…