137 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Qingdao UniversityCN7 papers
- Fudan UniversityCN3 papers
- Harbin Institute of TechnologyCN3 papers
- State Key Laboratory of Surface Physics3 papers
- University of IdahoUS3 papers
- Westlake UniversityCN3 papers
- Hebei Medical UniversityCN2 papers
- Second Hospital of Hebei Medical UniversityCN2 papers
- Utah State UniversityUS2 papers
- Beijing Computational Science Research CenterCN1 paper
- Beijing Institute of TechnologyCN1 paper
- Beijing Normal UniversityCN1 paper
8 papers
Robustness of Magic in the quantum Ising chain via Quantum Monte Carlo tomography
Hari Timsina, Yi-Ming Ding, Emanuele Tirrito +5
We study the behavior of magic as a bipartite correlation in the quantum Ising chain across its quantum phase transition, and at finite temperature. In order to quantify the magic…
CT Radiomics-Based Explainable Machine Learning Model for Accurate Differentiation of Malignant and Benign Endometrial Tumors: A Two-Center Study
Tingrui Zhang, Honglin Wu, Zekun Jiang +9
Aimed to develop and validate a CT radiomics-based explainable machine learning model for precise diagnosing malignancy and benignity specifically in endometrial cancer (EC) patien…
Addressing general measurements in quantum Monte Carlo
Zhiyan Wang, Zenan Liu, Bin-Bin Mao +2
Quantum Monte Carlo is one of the most promising approaches for dealing with large-scale quantum many-body systems. It has played an extremely important role in understanding stron…
Sampling reduced density matrix to extract fine levels of entanglement spectrum and restore entanglement Hamiltonian
Bin-Bin Mao, Yi-Ming Ding, Zhe Wang +2
The reduced density matrix (RDM) plays a key role in quantum entanglement and measurement, as it allows the extraction of almost all physical quantities related to the reduced degr…
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network
Fenghe Tang, Lingtao Wang, Chunping Ning +2
U-Net and its extensions have achieved great success in medical image segmentation. However, due to the inherent local characteristics of ordinary convolution operations, U-Net enc…
LabelECG: A Web-based Tool for Distributed Electrocardiogram Annotation
Zijian Ding, Shan Qiu, Yutong Guo +10
Electrocardiography plays an essential role in diagnosing and screening cardiovascular diseases in daily healthcare. Deep neural networks have shown the potentials to improve the a…
A Hybrid Framework for Tumor Saliency Estimation
Fei Xu, Min Xian, Yingtao Zhang +6
Automatic tumor segmentation of breast ultrasound (BUS) image is quite challenging due to the complicated anatomic structure of breast and poor image quality. Most tumor segmentati…
BUSIS: A Benchmark for Breast Ultrasound Image Segmentation
Min Xian, Yingtao Zhang, H. D. Cheng +6
Breast ultrasound (BUS) image segmentation is challenging and critical for BUS Comput-er-Aided Diagnosis (CAD) systems. Many BUS segmentation approaches have been studied in the la…