Xiaoshuang Zhou

Orcid: 0000-0001-6610-6834

According to our database1, Xiaoshuang Zhou authored at least 14 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators.
Comput. Biol. Medicine, November, 2023

Automatic No-Reference kidney tissue whole slide image quality assessment based on composite fusion models.
Biomed. Signal Process. Control., April, 2023

Prediction of breast cancer metastasis by deep learning pathology.
IET Image Process., February, 2023

2022
Multi-instance inflated 3D CNN for classifying urine red blood cells from multi-focus videos.
IET Image Process., 2022

Estimation and inferences for varying coefficient partially nonlinear quantile models with censoring indicators missing at random.
Comput. Stat., 2022

IDA-MIL: Classification of Glomerular with Spike-like Projections via Multiple Instance Learning with Instance-level Data Augmentation.
Comput. Methods Programs Biomed., 2022

2021
Efficient Estimation for the Derivative of Nonparametric Function by Optimally Combining Quantile Information.
Symmetry, 2021

CT Image Reconstruction via Nonlocal Low-Rank Regularization and Data-Driven Tight Frame.
Symmetry, 2021

Multi-objective optimization and explanation for stroke risk assessment in Shanxi province.
CoRR, 2021

Analysis and classification of main risk factors causing stroke in Shanxi Province.
CoRR, 2021

An efficient glomerular object locator for renal whole slide images using proposal-free network and dynamic scale evaluation method.
AI Commun., 2021

2020
A new orthogonality empirical likelihood for varying coefficient partially linear instrumental variable models with longitudinal data.
Commun. Stat. Simul. Comput., 2020

MSA-MIL: A deep residual multiple instance learning model based on multi-scale annotation for classification and visualization of glomerular spikes.
CoRR, 2020

2018
Robust empirical likelihood for partially linear models via weighted composite quantile regression.
Comput. Stat., 2018


  Loading...