User profiles for Jiazhu Zhu
Jiazhu Zhuzju Verified email at zju.edu.cn Cited by 64 |
[HTML][HTML] A multi-feature deep learning system to enhance glaucoma severity diagnosis with high accuracy and fast speed
…, J Zhu, X Huang, X Xu, X Li, Y Zheng, Z Zhu…�- Journal of biomedical�…, 2022 - Elsevier
Glaucoma is the leading cause of irreversible blindness, and the early detection and timely
treatment are essential for glaucoma management. However, due to the interindividual …
treatment are essential for glaucoma management. However, due to the interindividual …
[HTML][HTML] Deep learning assisted zonal adaptive aberration correction
Deep learning (DL) has been recently applied to adaptive optics (AO) to correct optical
aberrations rapidly in biomedical imaging. Here we propose a DL assisted zonal adaptive …
aberrations rapidly in biomedical imaging. Here we propose a DL assisted zonal adaptive …
[HTML][HTML] End-to-end deep-learning-based diagnosis of benign and malignant orbital tumors on computed tomography images
Determining the nature of orbital tumors is challenging for current imaging interpretation
methods, which hinders timely treatment. This study aimed to propose an end-to-end deep …
methods, which hinders timely treatment. This study aimed to propose an end-to-end deep …
[HTML][HTML] A structure-related fine-grained deep learning system with diversity data for universal glaucoma visual field grading
Purpose Glaucoma is the main cause of irreversible blindness worldwide. However, the
diagnosis and treatment of glaucoma remain difficult because of the lack of an effective …
diagnosis and treatment of glaucoma remain difficult because of the lack of an effective …
The Influence of Plasma Induced by -Particles on the Radar Echoes
W Liu, J Zhu, C Cui, X Wang, S Zhang…�- …�on Plasma Science, 2014 - ieeexplore.ieee.org
At the different radioactivity, temperature, pressure, heights, and incident angles, the influences
of the electromagnetic wave propagating in the α-decay radionuclide layer (RNL) coated …
of the electromagnetic wave propagating in the α-decay radionuclide layer (RNL) coated …
Speed-enhanced scattering compensation method with sub-Nyquist sampling
A rapid feedback-based scattering compensation method is particularly important for guiding
light precisely within turbid tissues, especially the dynamic tissues. However, the huge …
light precisely within turbid tissues, especially the dynamic tissues. However, the huge …
Contextual fear learning and extinction in the primary visual cortex of mice
Fear memory contextualization is critical for selecting adaptive behavior to survive. Contextual
fear conditioning (CFC) is a classical model for elucidating related underlying neuronal …
fear conditioning (CFC) is a classical model for elucidating related underlying neuronal …
[HTML][HTML] Long-term microglial phase-specific dynamics during single vessel occlusion and recanalization
X Xie, X Liu, J Zhu, Y Xu, X Li, Y Zheng, S Gong…�- Communications�…, 2022 - nature.com
Vascular occlusion leading to brain dysfunctions is usually considered evoking microglia-induced
inflammation response. However, it remains unclear how microglia interact with blood …
inflammation response. However, it remains unclear how microglia interact with blood …
A targeted universal attack on graph convolutional network by using fake nodes
J Dai, W Zhu, X Luo�- Neural Processing Letters, 2022 - Springer
Graph-structured data exist in numerous applications in real life. As a state-of-the-art graph
neural network, the graph convolutional network (GCN) plays an important role in processing …
neural network, the graph convolutional network (GCN) plays an important role in processing …
A backdoor attack against link prediction tasks with graph neural networks
J Dai, H Sun�- arXiv preprint arXiv:2401.02663, 2024 - arxiv.org
Graph Neural Networks (GNNs) are a class of deep learning models capable of processing
graph-structured data, and they have demonstrated significant performance in a variety of …
graph-structured data, and they have demonstrated significant performance in a variety of …