王珊珊

2025

NPASS database update 2026: comprehensive quantitative composition, bioactivity, and ADME-Tox data of natural products for biomedical research

Nucleic Acids Research

DOI

2024

SubCELL: the landscape of subcellular compartment-specific molecular interactions

Nucleic Acids Research

DOI

2023

新冠肺炎及中药干预机理的生物信息学研究

《宁波大学》

2023

Exploring outer space biophysical phenomena via SpaceLID

Scientific Reports

DOI

2023

TheMarker: a comprehensive database of therapeutic biomarkers

Nucleic Acids Research

DOI

2023

TTD: Therapeutic Target Database describing target druggability information

Nucleic Acids Research

DOI

2023

Database of space life investigations and information on spaceflight plant biology

Planta

DOI

2022

人Ⅱ型肝脏表达抗菌肽LEAP-2的生物信息学分析

《基因组学与应用生物学》

2022

FGF13敲低的肺癌A549细胞株构建及转录组学分析

《基因组学与应用生物学》

2022

干扰NSUN2通过调控细胞周期蛋白表达抑制黑素瘤细胞增殖

《中国生物化学与分子生物学报》

2022

Database of space life investigations and bioinformatics of microbiology in extreme environments

Frontiers in Microbiology

DOI

2022

In silico approaches uncovering the systematic function of N-phosphorylated proteins in human cells

Computers in Biology and Medicine

DOI

2022

NPASS database update 2023: quantitative natural product activity and species source database for biomedical research

Nucleic Acids Research

DOI

2022

DrugMAP: molecular atlas and pharma-information of all drugs

Nucleic Acids Research

DOI

2022

Chinese Medicine Meets Conventional Medicine in Targeting COVID-19 Pathophysiology, Complications and Comorbidities

Chinese Journal of Integrative Medicine

DOI

2021

Pyroptosis of syncytia formed by fusion of SARS-CoV-2 spike and ACE2-expressing cells

Cell Discovery

DOI

2021

Immunometabolism and potential targets in severe COVID-19 peripheral immune responses

Asian Journal of Pharmaceutical Sciences

DOI

2020

East meets West in COVID-19 therapeutics

Pharmacological Research

DOI

2019

温敏类弹性蛋白多肽的基因设计及重组克隆表达

《基因组学与应用生物学》

DOI

2026

Bias-constrained multimodal intelligence for equitable and reliable clinical AI

arXiv preprint

2026

CNsEMD: An Expert-Annotated Multi-Field-Strength MRI Dataset and a Hyperspherical Manifold Network for Multimodal Cranial Nerve Parcellation

arXiv preprint

2026

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

arXiv preprint

2025

Spatial-Angular Representation Learning for High-Fidelity Continuous Super-Resolution in Diffusion MRI

arXiv preprint

2025

Physics-Guided Diffusion Transformer with Spherical Harmonic Posterior Sampling for High-Fidelity Angular Super-Resolution in Diffusion MRI

arXiv preprint

2025

Cross-Sequence Semi-Supervised Learning for Multi-Parametric MRI-Based Visual Pathway Delineation

arXiv preprint

2025

Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical Translation

arXiv preprint

2025

Neovascularization Segmentation via a Multilateral Interaction-Enhanced Graph Convolutional Network

arXiv preprint

2025

3D Anatomical Structure-guided Deep Learning for Accurate Diffusion Microstructure Imaging

arXiv preprint

2025

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey

arXiv preprint

2025

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation

arXiv preprint

2025

A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging

arXiv preprint

2025

BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis

arXiv preprint

2024

Knowledge-driven deep learning for fast MR imaging: undersampled MR image reconstruction from supervised to un-supervised learning

arXiv preprint

2024

CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-assisted Implicit Neural Representation Learning

arXiv preprint

2024

Enhancing Representation in Medical Vision-Language Foundation Models via Multi-Scale Information Extraction Techniques

arXiv preprint

2024

RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling under Continuous Representation

arXiv preprint

2024

Multimodal self-supervised learning for lesion localization

arXiv preprint

2024

Simultaneous q-Space Sampling Optimization and Reconstruction for Fast and High-fidelity Diffusion Magnetic Resonance Imaging

arXiv preprint

2024

LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation

arXiv preprint

2024

MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models

arXiv preprint

2024

Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement

arXiv preprint

DOI

2024

MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning

arXiv preprint

2024

Modality Exchange Network for Retinogeniculate Visual Pathway Segmentation

arXiv preprint

2024

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

arXiv preprint

2024

Automating Vessel Segmentation in the Heart and Brain: A Trend to Develop Multi-Modality and Label-Efficient Deep Learning Techniques

arXiv preprint

2024

SamRobNODDI: Q-Space Sampling-Augmented Continuous Representation Learning for Robust and Generalized NODDI

arXiv preprint

2024

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction

arXiv preprint

2024

AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-Preserving Model-based Deep Learning

arXiv preprint

2024

Diff5T: Benchmarking Human Brain Diffusion MRI with an Extensive 5.0 Tesla K-Space and Spatial Dataset

arXiv preprint

2024

DeepMpMRI: Tensor-decomposition Regularized Learning for Fast and High-Fidelity Multi-Parametric Microstructural MR Imaging

arXiv preprint

2024

A multi-modal vision-language model for generalizable annotation-free pathology localization

arXiv preprint

2023

Self-Supervised Federated Learning for Fast MR Imaging

arXiv preprint

2023

Generalizable Learning Reconstruction for Accelerating MR Imaging via Federated Neural Architecture Search

arXiv preprint

2023

Model-based Federated Learning for Accurate MR Image Reconstruction from Undersampled k-space Data

arXiv preprint

2023

FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction

arXiv preprint

2023

Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation

arXiv preprint

2023

MGA: Medical generalist agent through text-guided knowledge transformation

arXiv preprint

2023

Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning

arXiv preprint

DOI

2023

Few-shot Class-incremental Learning for Cross-domain Disease Classification

arXiv preprint

2023

Partition-based K-space Synthesis for Multi-contrast Parallel Imaging

arXiv preprint

2022

PARCEL: Physics-based Unsupervised Contrastive Representation Learning for Multi-coil MR Imaging

arXiv preprint

2022

Rethinking the optimization process for self-supervised model-driven MRI reconstruction

arXiv preprint

2022

Iterative Data Refinement for Self-Supervised MR Image Reconstruction

arXiv preprint

2022

Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI

arXiv preprint

2022

SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging

arXiv preprint

2022

DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans

arXiv preprint

2022

Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading

arXiv preprint

2022

One-shot Generative Prior in Hankel-k-space for Parallel Imaging Reconstruction

arXiv preprint

2022

Variable Augmented Network for Invertible MR Coil Compression

arXiv preprint

2022

WKGM: Weight-K-space Generative Model for Parallel Imaging Reconstruction

arXiv preprint

2022

Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging

arXiv preprint

2022

Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation

arXiv preprint

2022

Universal Generative Modeling for Calibration-free Parallel Mr Imaging

arXiv preprint

2022

Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation

arXiv preprint

2022

K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction

arXiv preprint

2021

Blind Image Quality Assessment for MRI with A Deep Three-dimensional content-adaptive Hyper-Network

arXiv preprint

2021

Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework

arXiv preprint

2021

Radiomic biomarker extracted from PI-RADS 3 patients support more eìcient and robust prostate cancer diagnosis: a multi-center study

arXiv preprint

2021

Specificity-Preserving Federated Learning for MR Image Reconstruction

arXiv preprint

2021

Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation

arXiv preprint

2021

A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images

arXiv preprint

2021

MRI Reconstruction Using Deep Energy-Based Model

arXiv preprint

2020

A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint

arXiv preprint

DOI

2020

Deep learning for fast MR imaging: a review for learning reconstruction from incomplete k-space data

arXiv preprint

2020

Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning

arXiv preprint

2020

Homotopic Gradients of Generative Density Priors for MR Image Reconstruction

arXiv preprint

2020

Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision

arXiv preprint

2020

Annotation-efficient deep learning for automatic medical image segmentation

arXiv preprint

DOI

2019

D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation

arXiv preprint

DOI

2019

CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke

arXiv preprint

DOI

2019

CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint

arXiv preprint

2019

DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution

arXiv preprint

2019

Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging

arXiv preprint

2019

X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies

arXiv preprint

DOI

2019

LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset

arXiv preprint

2019

Parameter-Transferred Wasserstein Generative Adversarial Network (PT-WGAN) for Low-Dose PET Image Denoising

arXiv preprint

DOI

2019

IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI

arXiv preprint

2019

Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation

arXiv preprint

2018

Classifying Mammographic Breast Density by Residual Learning

arXiv preprint

2018

DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training

arXiv preprint

2018

AUNet: Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms

arXiv preprint