111 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Fudan UniversityCN14 papers
- Shanghai Jiao Tong UniversityCN6 papers
- Shanghai Center for Brain Science and Brain-Inspired TechnologyCN4 papers
- Shanghai Chest HospitalCN2 papers
- University of Shanghai for Science and TechnologyCN2 papers
- Army Medical UniversityCN1 paper
- Children's Hospital of Zhejiang UniversityCN1 paper
- China Pharmaceutical UniversityCN1 paper
- Daping HospitalCN1 paper
- East China University of Science and TechnologyCN1 paper
- Frontiers Center for Brain Science of the Ministry of EducationCN1 paper
- Group Sense (China)CN1 paper
19 papers
Consensus statement on the credibility assessment of ML predictors
Alessandra Aldieri, Thiranja Prasad Babarenda Gamage, Antonino Amedeo La Mattina +4
The rapid integration of machine learning (ML) predictors into in silico medicine has revolutionized the estimation of quantities of interest (QIs) that are otherwise challenging t…
Interpretable Auto Window Setting for Deep-Learning-Based CT Analysis
Yiqin Zhang, Meiling Chen, Zhengjie Zhang
Whether during the early days of popularization or in the present, the window setting in Computed Tomography (CT) has always been an indispensable part of the CT analysis process.…
Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation
Yiqin Zhang, Qingkui Chen, Chen Huang +3
Most data-driven models for medical image analysis rely on universal augmentations to improve accuracy. Experimental evidence has confirmed their effectiveness, but the unclear mec…
HOPE: Hybrid-granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment
Chenhui Wang, Yiming Lei, Tao Chen +3
Mild cognitive impairment (MCI) is often at high risk of progression to Alzheimer's disease (AD). Existing works to identify the progressive MCI (pMCI) typically require MCI subtyp…
IQAGPT: Image Quality Assessment with Vision-language and ChatGPT Models
Zhihao Chen, Bin Hu, Chuang Niu +4
Large language models (LLMs), such as ChatGPT, have demonstrated impressive capabilities in various tasks and attracted an increasing interest as a natural language interface acros…
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation
Xiangyu Zhao, Zengxin Qi, Sheng Wang +4
Medical image segmentation methods are generally designed as fully-supervised to guarantee model performance, which require a significant amount of expert annotated samples that ar…
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…
Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence
Haibo Yang, Shengjie Zhang, Xiaoyang Han +4
Small lesions in magnetic resonance imaging (MRI) images are crucial for clinical diagnosis of many kinds of diseases. However, the MRI quality can be easily degraded by various no…
Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces
Fabio Broccatelli, Richard Trager, Michael Reutlinger +2
In this work, we benchmark a variety of single- and multi-task graph neural network (GNN) models against lower-bar and higher-bar traditional machine learning approaches employing…
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks
Guotai Wang, Tao Song, Qiang Dong +3
Ischemic stroke lesion segmentation from Computed Tomography Perfusion (CTP) images is important for accurate diagnosis of stroke in acute care units. However, it is challenged by…
Population pharmacokinetics and dosing regimen optimization of tacrolimus in Chinese lung transplant recipients
Xiaojun Cai, Huizhu Song, Zheng Jiao +7
We aimed to develop a population pharmacokinetic model of tacrolimus in Chinese lung transplant recipients, and propose model based dosing regimens for individualized treatment. We…
Effect of protein binding on exposure of unbound and total mycophenolic acid: a population pharmacokinetic analysis in Chinese adult kidney transplant recipients
Changcheng Sheng, Qun Zhao, Wanjie Niu +3
AIMS A population pharmacokinetic (PK) analysis was performed to: (1) characterise the PK of unbound and total mycophenolic acid (MPA) and its 7-O-mycophenolic acid glucuronide (MP…
Population Pharmacokinetic Study of Tacrolimus in Pediatric Patients with Primary Nephrotic Syndrome: A Comparison of Linear and Nonlinear Michaelis Menten Pharmacokinetic Model
Lingfei Huang, Yixi Liu, Zheng Jiao +3
Background Little is known about the population pharmacokinetics (PPK) of tacrolimus (TAC) in pediatric primary nephrotic syndrome (PNS). This study aimed to compare the predictive…
Systematic external evaluation of published population pharmacokinetic models for tacrolimus in adult liver transplant recipients
Xiaojun Cai, Ruidong Li, Changcheng Sheng +8
Background:Diverse tacrolimus population pharmacokinetic models in adult liver transplant recipients have been established to describe the PK characteristics of tacrolimus in the l…
A Fully-Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images
Jiahang Xu, Fangyang Jiao, Yechong Huang +7
Background: Parkinson's disease (PD) is a prevalent long-term neurodegenerative disease. Though the diagnostic criteria of PD are relatively well defined, the current medical imagi…
DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma Multiform Image Classification Based on DCGAN and AlexNet
Meiyu Li, Hailiang Tang, Michael D. Chan +2
Pseudoprogression (PsP) occurs in 20-30% of patients with glioblastoma multiforme (GBM) after receiving the standard treatment. In the course of post-treatment magnetic resonance i…
Learning Optimal Deep Projection of F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes
Shubham Kumar, Abhijit Guha Roy, Ping Wu +10
Several diseases of parkinsonian syndromes present similar symptoms at early stage and no objective widely used diagnostic methods have been approved until now. Positron emission t…
BCI-Based Strategies on Stroke Rehabilitation with Avatar and FES Feedback
Zhaoyang Qiu, Shugeng Chen, Ian Daly +3
Stroke is the leading cause of serious and long-term disability worldwide. Some studies have shown that motor imagery (MI) based BCI has a positive effect in poststroke rehabilitat…
Non-rigid image registration using spatially region-weighted correlation ratio and GPU-acceleration
Lun Gong, Cheng Zhang, Luwen Duan +4
Objective: Non-rigid image registration with high accuracy and efficiency is still a challenging task for medical image analysis. In this work, we present the spatially region-weig…