1.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Zhejiang UniversityCN14 papers
- Zhejiang University of Science and TechnologyCN5 papers
- Chang Gung Memorial HospitalTW2 papers
- Johns Hopkins UniversityUS2 papers
- National Tsing Hua UniversityTW2 papers
- Ping An (China)2 papers
- Ritsumeikan UniversityJP2 papers
- Second Affiliated Hospital of Zhejiang UniversityCN2 papers
- State Key Laboratory of Modern Optical InstrumentsCN2 papers
- Zhejiang LabCN2 papers
- Advanced Materials and Devices (United States)US1 paper
- Alibaba Group (China)CN1 paper
20 papers
On the new weighted geometric inequalities near the sphere in space forms
Weimin Sheng, Yinhang Wang
In this paper, we first investigate weighted Minkowski type inequalities for nearly spherical sets in space forms, focusing on the sets that are -close to geodesic spheres. Ou…
Translating Electrocardiograms to Cardiac Magnetic Resonance Imaging Useful for Cardiac Assessment and Disease Screening: A Multi-Center Study
Zhengyao Ding, Ziyu Li, Yujian Hu +17
Cardiovascular diseases (CVDs) are the leading cause of global mortality, necessitating accessible and accurate diagnostic tools. While cardiac magnetic resonance imaging (CMR) pro…
Closely piling up of multiple adhesive fronts in adhesive friction due to re-attachment
Puyu Cao, Meicheng Yao, Bin Chen
As a fundamental force, friction exerts a profound influence on various aspects of our daily lives across multiple disciplines. To understand why adhesive friction is associated wi…
Orientation-dependent superconductivity and electronic structure of the rare-earth metal/KTaO3 interfaces
Guowei Yang, Weifan Zhu, Jiawen Zhang +10
The recent discovery of orientation-dependent superconductivity in KTaO3-based interfaces has attracted considerable interest, while the underlying origin remains an open question.…
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization
Ke Wang, Zanting Ye, Xiang Xie +3
Accurate segmentation of clustered microcalcifications in mammography is crucial for the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy, recent…
Federated Learning on Non-iid Data via Local and Global Distillation
Xiaolin Zheng, Senci Ying, Fei Zheng +4
Most existing federated learning algorithms are based on the vanilla FedAvg scheme. However, with the increase of data complexity and the number of model parameters, the amount of…
Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentation
Huimin Huang, Ming Cai, Lanfen Lin +9
Coronavirus Disease 2019 (COVID-19) has rapidly spread in 2020, emerging a mass of studies for lung infection segmentation from CT images. Though many methods have been proposed fo…
PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images
Yingying Xu, Ming Cai, Lanfen Lin +10
In this paper, we propose a phase attention residual network (PA-ResSeg) to model multi-phase features for accurate liver tumor segmentation, in which a phase attention (PA) is new…
Efficient Learning of Control Policies for Robust Quadruped Bounding using Pretrained Neural Networks
Zhicheng Wang, Anqiao Li, Yixiao Zheng +4
Bounding is one of the important gaits in quadrupedal locomotion for negotiating obstacles. The authors proposed an effective approach that can learn robust bounding gaits more eff…
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network
Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo +10
Determining the spread of GTV is essential in defining the respective resection or irradiating regions for the downstream workflows of surgical resection and radiotherapy fo…
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy
Zhuotun Zhu, Dakai Jin, Ke Yan +7
Finding, identifying and segmenting suspicious cancer metastasized lymph nodes from 3D multi-modality imaging is a clinical task of paramount importance. In radiotherapy, they are…
Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia
Xiaowei Xu, Xiangao Jiang, Chunlian Ma +12
We found that the real time reverse transcription-polymerase chain reaction (RT-PCR) detection of viral RNA from sputum or nasopharyngeal swab has a relatively low positive rate in…
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection
Shumin Deng, Ningyu Zhang, Jiaojian Kang +3
Event detection (ED), a sub-task of event extraction, involves identifying triggers and categorizing event mentions. Existing methods primarily rely upon supervised learning and re…
Efficient T2 mapping with Blip-up/down EPI and gSlider-SMS (T2-BUDA-gSlider)
Xiaozhi Cao, Congyu Liao, Zijing Zhang +7
Purpose: To rapidly obtain high isotropic-resolution T2 maps with whole-brain coverage and high geometric fidelity. Methods: A T2 blip-up/down echo planar imaging (EPI) acquisition…
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng, Hailiang Zhao, Weijia Fang +3
Along with the rapid developments in communication technologies and the surge in the use of mobile devices, a brand-new computation paradigm, Edge Computing, is surging in populari…
Kirigami Metamaterials for Reconfigurable Toroidal Circular Dichroism
Liqiao Jing, Zuojia Wang, Bin Zheng +6
The ancient paper craft of kirigami has recently emerged as a potential tool for the design of functional materials. Inspired by the kirigami concept, we propose a class of kirigam…
Diagnostic Classification Of Lung Nodules Using 3D Neural Networks
Raunak Dey, Zhongjie Lu, Yi Hong
Lung cancer is the leading cause of cancer-related death worldwide. Early diagnosis of pulmonary nodules in Computed Tomography (CT) chest scans provides an opportunity for designi…
SD-CNN: a Shallow-Deep CNN for Improved Breast Cancer Diagnosis
Fei Gao, Teresa Wu, Jing Li +4
Breast cancer is the second leading cause of cancer death among women worldwide. Nevertheless, it is also one of the most treatable malignances if detected early. Screening for bre…
Accelerated Stochastic ADMM with Variance Reduction
Chao Zhang, Zebang Shen, Hui Qian +3
Alternating Direction Method of Multipliers (ADMM) is a popular method for solving large-scale Machine Learning problems. Stochastic ADMM was proposed to reduce the per iteration c…
Stable Cosparse Recovery via \ell_p-analysis Optimization
Shubao Zhang, Hui Qian, Xiaojin Gong +1
In this paper we study the -analysis optimization () problem for cosparse signal recovery. We establish a bound for recovery error via the restricted -isometry…