Zhenghua Xu

State Key Laboratory Of Intelligent Power Distribution Equipment And System
Wanghailou, China

Last Updated: 09/26/2026

Save publications for later

Sign Up

Not sure about your diagnosis?

Check Your Symptoms

Found 21 publications

Pseudo-Global Based Sequential Contribution Estimation for Federated Semi-Supervised Medical Image Segmentation.

Pseudo-Global Based Sequential Contribution Estimation for Federated Semi-Supervised Medical Image Segmentation.

Journal: IEEE journal of biomedical and health informatics

Published: July 28, 2026

Federated Learning with Global Model Hint for Medical Image Object Detection.

Federated Learning with Global Model Hint for Medical Image Object Detection.

Journal: IEEE journal of biomedical and health informatics

Published: July 20, 2026

You Need Glimpse Before Segmentation: Stochastic Detector-Actor-Critic for Medical Image Segmentation.

You Need Glimpse Before Segmentation: Stochastic Detector-Actor-Critic for Medical Image Segmentation.

Journal: IEEE journal of biomedical and health informatics

Published: October 23, 2025

Open dataset and deep learning model for intelligent diagnosis of neonatal respiratory distress syndrome and aspiration syndrome in newborns.

Open dataset and deep learning model for intelligent diagnosis of neonatal respiratory distress syndrome and aspiration syndrome in newborns.

Journal: Scientific reports

Published: September 30, 2025

Advancing federated semi-supervised medical image segmentation: A duo of interactive denoising pseudo-labels and convolutional contrastive learning.

Advancing federated semi-supervised medical image segmentation: A duo of interactive denoising pseudo-labels and convolutional contrastive learning.

Journal: Medical image analysis

Published: March 04, 2025

Pixel level deep reinforcement learning for accurate and robust medical image segmentation.

Pixel level deep reinforcement learning for accurate and robust medical image segmentation.

Journal: Scientific reports

Published: January 14, 2025

Hybrid Reinforced Medical Report Generation With M-Linear Attention and Repetition Penalty.

Hybrid Reinforced Medical Report Generation With M-Linear Attention and Repetition Penalty.

Journal: IEEE transactions on neural networks and learning systems

Published: December 25, 2023

A general survey on medical image super-resolution via deep learning.

A general survey on medical image super-resolution via deep learning.

Journal: Computers in biology and medicine

Published: November 25, 2023

Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning.

Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning.

Journal: Computers in biology and medicine

Published: June 28, 2023

Reverse Differentiation via Predictive Coding.

Reverse Differentiation via Predictive Coding.

Journal: Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence

Published: May 19, 2023

RIRGAN: An end-to-end lightweight multi-task learning method for brain MRI super-resolution and denoising.

RIRGAN: An end-to-end lightweight multi-task learning method for brain MRI super-resolution and denoising.

Journal: Computers in biology and medicine

Published: April 27, 2023

Cross-domain attention-guided generative data augmentation for medical image analysis with limited data.

Cross-domain attention-guided generative data augmentation for medical image analysis with limited data.

Journal: Computers in biology and medicine

Published: April 05, 2023

Showing 1-12 of 21

Last Updated: 09/26/2026