Deep-learning-based automated neuron reconstruction from 3D microscopy images using synthetic training images
W Chen, M Liu, H Du, M Radojević… - … on Medical Imaging, 2021 - ieeexplore.ieee.org
Digital reconstruction of neuronal structures from 3D microscopy images is critical for the
quantitative investigation of brain circuits and functions. It is a challenging task that would …
quantitative investigation of brain circuits and functions. It is a challenging task that would …
MGA: Momentum gradient attack on network
J Chen, Y Chen, H Zheng, S Shen, S Yu… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The adversarial attack methods based on gradient information can adequately find the
perturbations, that is, the combinations of rewired links, thereby reducing the effectiveness of …
perturbations, that is, the combinations of rewired links, thereby reducing the effectiveness of …
Effects of spectral normalization in multi-agent reinforcement learning
A reliable critic is central to on-policy actor-critic learning. But it becomes challenging to
learn a reliable critic in a multi-agent sparse reward scenario due to two factors: 1) The joint …
learn a reliable critic in a multi-agent sparse reward scenario due to two factors: 1) The joint …
Enhancing the depth perception of DSA images with 2D–3D registration
X Zhang, Y Deng, C Tian, S Chen, Y Wang… - Frontiers in …, 2023 - frontiersin.org
Objective Today, cerebrovascular disease has become an important health hazard.
Therefore, it is necessary to perform a more accurate and less time-consuming registration …
Therefore, it is necessary to perform a more accurate and less time-consuming registration …
An optical flow based left-invariant metric for natural gradient descent in affine image registration
DJ Tward - Frontiers in applied mathematics and statistics, 2021 - frontiersin.org
Accurate spatial alignment is essential for any population neuroimaging study, and affine
(12 parameter linear/translation) or rigid (6 parameter rotation/translation) alignments play a …
(12 parameter linear/translation) or rigid (6 parameter rotation/translation) alignments play a …
The registration of visible and thermal images through multi-objective optimization
Multimodal imaging with visible and thermal sensors attracts much attention due to its
robustness under challenging illumination conditions. Due to spectral differences, the visible …
robustness under challenging illumination conditions. Due to spectral differences, the visible …
Deep Implicit Optimization for Robust and Flexible Image Registration
Deep Learning in Image Registration (DLIR) methods have been tremendously successful
in image registration due to their speed and ability to incorporate weak label supervision at …
in image registration due to their speed and ability to incorporate weak label supervision at …
Gradient preconditioned mini-batch SGD for ridge regression
Data preconditioning technique, which reduces the condition number of the problem by a
linear transformation of the data matrix, is typically used to accelerate the convergence of the …
linear transformation of the data matrix, is typically used to accelerate the convergence of the …
Automatic intra-subject registration and fusion of multimodal cochlea 3D clinical images
Background The postoperative imaging assessment of Cochlear Implant (CI) patients is
imperative. The main obstacle is that Magnetic Resonance imaging (MR) is contraindicated …
imperative. The main obstacle is that Magnetic Resonance imaging (MR) is contraindicated …
Evaluation of an open source registration package for automatic contour propagation in online adaptive intensity-modulated proton therapy of prostate cancer
Objective: Our goal was to investigate the performance of an open source deformable image
registration package, elastix, for fast and robust contour propagation in the context of online …
registration package, elastix, for fast and robust contour propagation in the context of online …