390 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shanghai Jiao Tong UniversityCN14 papers
- Fudan UniversityCN3 papers
- Huazhong University of Science and TechnologyCN3 papers
- ShanghaiTech UniversityCN3 papers
- Tongji HospitalCN3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Chinese University of Hong KongHK2 papers
- Collaborative Innovation Center of Advanced MicrostructuresCN2 papers
- Jilin UniversityCN2 papers
- Laboratoire Charles CoulombFR2 papers
- Nanjing UniversityCN2 papers
- Nanjing University of Science and TechnologyCN2 papers
5 papers · 1 filter
Scalable Miniature On-chip Fourier Transform Spectrometer For Raman Spectroscopy
Sarp Kerman, Xiao Luo, Zuoqin Ding +6
Miniaturized spectrometers for Raman spectroscopy have the potential to open up a new chapter in sensing. Raman spectroscopy is essential for material characterization and biomedic…
Toward Zero-Shot Learning for Visual Dehazing of Urological Surgical Robots
Renkai Wu, Xianjin Wang, Pengchen Liang +3
Robot-assisted surgery has profoundly influenced current forms of minimally invasive surgery. However, in transurethral suburethral urological surgical robots, they need to work in…
Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI
Lei Zhou, Yuzhong Zhang, Jiadong Zhang +8
Automated breast tumor segmentation on the basis of dynamic contrast-enhancement magnetic resonance imaging (DCE-MRI) has shown great promise in clinical practice, particularly for…
UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation
Renkai Wu, Yinghao Liu, Pengchen Liang +1
Traditionally for improving the segmentation performance of models, most approaches prefer to use adding more complex modules. And this is not suitable for the medical field, espec…
Automated Contrastive Learning Strategy Search for Time Series
Baoyu Jing, Yansen Wang, Guoxin Sui +5
In recent years, Contrastive Learning (CL) has become a predominant representation learning paradigm for time series. Most existing methods manually build specific CL Strategies (C…