4 papers
Benchmarking Self-Supervised 3D Medical Vision Foundation Models and Transferability Estimation
Jiaqi Tang, Yu Wang, Yang Liu +7
Self-supervised pretraining has expanded the pool of 3D medical foundation models, but published evaluations use different datasets, endpoints and fine-tuning protocols. Models als…
3D MRI Image Pretraining via Controllable 2D Slice Navigation Task
Yu Wang, Qingchao Chen
Self-supervised pretraining has become the mainstream approach for learning MRI representations from unlabeled scans. However, most existing objectives still treat each scan primar…
Large-scale Multi-sequence Pretraining for Generalizable MRI Analysis in Versatile Clinical Applications
Zelin Qiu, Xi Wang, Zhuoyao Xie +15
Multi-sequence Magnetic Resonance Imaging (MRI) offers remarkable versatility, enabling the distinct visualization of different tissue types. Nevertheless, the inherent heterogenei…
Multi-Sequence Parotid Gland Lesion Segmentation via Expert Text-Guided Segment Anything Model
Zhongyuan Wu, Chuan-Xian Ren, Yu Wang +3
Parotid gland lesion segmentation is essential for the treatment of parotid gland diseases. However, due to the variable size and complex lesion boundaries, accurate parotid gland…