Donghao Zhang

Orcid: 0000-0001-5663-6372

According to our database1, Donghao Zhang authored at least 55 papers between 2014 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Dual Attention Graph Convolutional Network for Relation Extraction.
IEEE Trans. Knowl. Data Eng., February, 2024

Uncertainty Quantification and Interval Prediction of Equipment Remaining Useful Life Based on Semisupervised Learning.
IEEE Trans. Instrum. Meas., 2024

EventRPG: Event Data Augmentation with Relevance Propagation Guidance.
CoRR, 2024

2023
Contrastive Decoder Generator for Few-Shot Learning in Product Quality Prediction.
IEEE Trans. Ind. Informatics, December, 2023

Medical visual question answering: A survey.
Artif. Intell. Medicine, September, 2023

GAN-Based Inversion of Crosshole GPR Data to Characterize Subsurface Structures.
Remote. Sens., July, 2023

Medical matting: Medical image segmentation with uncertainty from the matting perspective.
Comput. Biol. Medicine, May, 2023

Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation.
J. Biomed. Informatics, February, 2023

A Robust Source Wavelet Phase Inversion Method Based on Correlation Norm Waveform Inversion.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
Path Enhanced Bidirectional Graph Attention Network for Quality Prediction in Multistage Manufacturing Process.
IEEE Trans. Ind. Informatics, 2022

A Novel Imbalanced Data Classification Method Based on Weakly Supervised Learning for Fault Diagnosis.
IEEE Trans. Ind. Informatics, 2022

Autonomous Incident Detection on Spectrometers Using Deep Convolutional Models.
Sensors, 2022

RCE-GAN: A Rebar Clutter Elimination Network to Improve Tunnel Lining Void Detection from GPR Images.
Remote. Sens., 2022

Mutual consistency learning for semi-supervised medical image segmentation.
Medical Image Anal., 2022

3D Matting: A Soft Segmentation Method Applied in Computed Tomography.
CoRR, 2022

3D matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography.
Comput. Biol. Medicine, 2022

Camera Adaptation for Fundus-Image-Based CVD Risk Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Learning Network Architecture for Open-Set Recognition.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images.
IEEE Trans. Medical Imaging, 2021

Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images.
IEEE Trans. Image Process., 2021

Enforcing Mutual Consistency of Hard Regions for Semi-supervised Medical Image Segmentation.
CoRR, 2021

A multi-head neural network with unsymmetrical constraints for remaining useful life prediction.
Adv. Eng. Informatics, 2021

Medical Matting: A New Perspective on Medical Segmentation with Uncertainty.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images.
IEEE Trans. Medical Imaging, 2020

An adversarial bidirectional serial-parallel LSTM-based QTD framework for product quality prediction.
J. Intell. Manuf., 2020

Neural networks-based fixed-time control for a robot with uncertainties and input deadzone.
Neurocomputing, 2020

Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images.
CoRR, 2020

Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images.
CoRR, 2020

Deep Attentive Panoptic Model for Prostate Cancer Detection Using Biparametric MRI Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

3D Conditional Adversarial Learning for Synthesizing Microscopic Neuron Image Using Skeleton-to-Neuron Translation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Adaptive neural control of quadruped robots with input deadzone.
Neurocomputing, 2019

Region and Object based Panoptic Image Synthesis through Conditional GANs.
CoRR, 2019

Vessel-Net: Retinal Vessel Segmentation Under Multi-path Supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Segmenting Neuronal Structure in 3D Optical Microscope Images via Knowledge Distillation with Teacher-Student Network.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018
Automated 3-D Neuron Tracing With Precise Branch Erasing and Confidence Controlled Back Tracking.
IEEE Trans. Medical Imaging, 2018

Automated 3D Soma Segmentation with Morphological Surface Evolution for Neuron Reconstruction.
Neuroinformatics, 2018

3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation.
CoRR, 2018

Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Nuclei instance segmentation with dual contour-enhanced adversarial network.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Feature learning with component selective encoding for histopathology image classification.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

3D Large Kernel Anisotropic Network for Brain Tumor Segmentation.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Whole Slide Image Classification via Iterative Patch Labelling.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Memory and Time Efficient 3D Neuron Morphology Tracing in Large-Scale Images.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Large Kernel Refine Fusion Net for Neuron Membrane Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Triple-Crossing 2.5D Convolutional Neural Network for Detecting Neuronal Arbours in 3D Microscopic Images.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Automatic 3D Single Neuron Reconstruction with Exhaustive Tracing.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Rivulet: 3D Neuron Morphology Tracing with Iterative Back-Tracking.
Neuroinformatics, 2016

Reconstruction of 3D neuron morphology using Rivulet back-tracking.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Predictive energy management strategy for electric vehicles based on estimation of preceding vehicle future movements.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2016

2014
Data-Driven Street Scene Layout Estimation for Distant Object Detection.
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014


  Loading...