2 citations · 4 across the 3 of their papers we have counts for
4 papers
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…
Cross-Modal Clustering-Guided Negative Sampling for Self-Supervised Joint Learning from Medical Images and Reports
Libin Lan, Hongxing Li, Zunhui Xia +5
Learning medical visual representations directly from paired images and reports through multimodal self-supervised learning has emerged as a novel and efficient approach to digital…
MSLAU-Net: A Hybrid CNN-Transformer Network for Medical Image Segmentation
Libin Lan, Yanxin Li, Xiaojuan Liu +4
Accurate medical image segmentation allows for the precise delineation of anatomical structures and pathological regions, which is essential for treatment planning, surgical naviga…
A Large Model for Non-invasive and Personalized Management of Breast Cancer from Multiparametric MRI
Luyang Luo, Mingxiang Wu, Mei Li +8
Breast Magnetic Resonance Imaging (MRI) demonstrates the highest sensitivity for breast cancer detection among imaging modalities and is standard practice for high-risk women. Inte…