3 citations · 4 across the 6 of their papers we have counts for
4 papers · 1 filter
PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation
Yiheng Zhong, Zihong Luo, Chengzhi Liu +7
Segment Anything Model (SAM) demonstrates powerful zero-shot capabilities; however, its accuracy and robustness significantly decrease when applied to medical image segmentation. E…
Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis
Chengzhi Liu, Zile Huang, Zhe Chen +6
Ophthalmologists typically require multimodal data sources to improve diagnostic accuracy in clinical decisions. However, due to medical device shortages, low-quality data and data…
MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network
Chengzhi Liu, Zheng Tao, Zihong Luo +1
Time series analysis and modelling constitute a crucial research area. Traditional artificial neural networks struggle with complex, non-stationary time series data due to high com…
Alternative Telescopic Displacement: An Efficient Multimodal Alignment Method
Jiahao Qin, Yitao Xu, Zong Lu +1
In the realm of multimodal data integration, feature alignment plays a pivotal role. This paper introduces an innovative approach to feature alignment that revolutionizes the fusio…