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
23 papers
A Brief History of Digital Twin Technology
Yunqi Zhang, Kuangyu Shi, Biao Li
Emerging from NASA's spacecraft simulations in the 1960s, digital twin technology has advanced through industrial adoption to spark a healthcare transformation. A digital twin is a…
Pathology-Guided AI System for Accurate Segmentation and Diagnosis of Cervical Spondylosis
Qi Zhang, Xiuyuan Chen, Ziyi He +4
Cervical spondylosis, a complex and prevalent condition, demands precise and efficient diagnostic techniques for accurate assessment. While MRI offers detailed visualization of cer…
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…
MR Elastography with Optimization-Based Phase Unwrapping and Traveling Wave Expansion-based Neural Network (TWENN)
Shengyuan Ma, Runke Wang, Suhao Qiu +7
Magnetic Resonance Elastography (MRE) can characterize biomechanical properties of soft tissue for disease diagnosis and treatment planning. However, complicated wavefields acquire…
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…
Nanoparticle Radiosensitization: from extended local effect modeling to a survival modificationframework of compound Poisson additive killing and its carbon dots validation
Hailun Pan, Xiaowa Wang, Aihui Feng +8
Objective: To construct an analytical model instead of local effect modeling for the prediction of the biological effectiveness of nanoparticle radiosensitization. Approach: An ext…
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction
Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao +14
Diabetes prediction is an important data science application in the social healthcare domain. There exist two main challenges in the diabetes prediction task: data heterogeneity si…
Flip Learning: Erase to Segment
Yuhao Huang, Xin Yang, Yuxin Zou +7
Nodule segmentation from breast ultrasound images is challenging yet essential for the diagnosis. Weakly-supervised segmentation (WSS) can help reduce time-consuming and cumbersome…
BioDynaMo: a general platform for scalable agent-based simulation
Lukas Breitwieser, Ahmad Hesam, Jean de Montigny +10
Motivation: Agent-based modeling is an indispensable tool for studying complex biological systems. However, existing simulators do not always take full advantage of modern hardware…
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia
Xi Ouyang, Jiayu Huo, Liming Xia +15
The coronavirus disease (COVID-19) is rapidly spreading all over the world, and has infected more than 1,436,000 people in more than 200 countries and territories as of April 9, 20…
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning
Hengyuan Kang, Liming Xia, Fuhua Yan +8
Recently, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread rapidly across the world. Due to the large number of affected patients and heavy labor for doctors, compute…
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN
Wenjun Yan, Yuanyuan Wang, Shengjia Gu +4
Convolutional neural network (CNN), in particular the Unet, is a powerful method for medical image segmentation. To date Unet has demonstrated state-of-art performance in many comp…
Question Answering based Clinical Text Structuring Using Pre-trained Language Model
Jiahui Qiu, Yangming Zhou, Zhiyuan Ma +3
Clinical text structuring is a critical and fundamental task for clinical research. Traditional methods such as taskspecific end-to-end models and pipeline models usually suffer fr…
Signet Ring Cell Detection With a Semi-supervised Learning Framework
Jiahui Li, Shuang Yang, Xiaodi Huang +6
Signet ring cell carcinoma is a type of rare adenocarcinoma with poor prognosis. Early detection leads to huge improvement of patients' survival rate. However, pathologists can onl…
Learning-based Single-step Quantitative Susceptibility Mapping Reconstruction Without Brain Extraction
Hongjiang Wei, Steven Cao, Yuyao Zhang +4
Quantitative susceptibility mapping (QSM) estimates the underlying tissue magnetic susceptibility from MRI gradient-echo phase signal and typically requires several processing step…
Pancreas segmentation with probabilistic map guided bi-directional recurrent UNet
Jun Li, Xiaozhu Lin, Hui Che +2
Pancreas segmentation in medical imaging data is of great significance for clinical pancreas diagnostics and treatment. However, the large population variations in the pancreas sha…
A Model-Driven Stack-Based Fully Convolutional Network for Pancreas Segmentation
Hao Li, Jun Li, Xiaozhu Lin +1
The irregular geometry and high inter-slice variability in computerized tomography (CT) scans of the human pancreas make an accurate segmentation of this crucial organ a challengin…
Translational and rotational dynamical heterogeneities in granular systems
Binquan Kou, Yixin Cao, Jindong Li +7
We use X-ray tomography to investigate the translational and rotational dynamical heterogeneities of a three dimensional hard ellipsoids granular packing driven by oscillatory shea…
Granular materials flow like complex fluids
Binquan Kou, Yixin Cao, Jindong Li +7
Granular materials such as sand, powders, foams etc. are ubiquitous in our daily life, as well as in industrial and geotechnical applications. Although these disordered systems for…