Image quality assessment for MRI: Is it up to the task?
ML Seghier - 2023 11th European Workshop on Visual …, 2023 - ieeexplore.ieee.org
The accuracy of MRI-based diagnosis can be degraded by artifacts, a challenging problem
for both radiologists and automated computer-aided systems. Assessment of MR images …
for both radiologists and automated computer-aided systems. Assessment of MR images …
HVS-inspired adversarial image generation with high perceptual quality
Adversarial images are able to fool the Deep Neural Network (DNN) based visual identity
recognition systems, with the potential to be widely used in online social media for privacy …
recognition systems, with the potential to be widely used in online social media for privacy …
基于深度置信网络的多模态过程故障评估方法及应用
张凯， 杨朋澄， 彭开香， 陈志文 - 自动化学报, 2023 - aas.net.cn
传统的多模态过程故障等级评估方法对模态之间的共性特征考虑较少, 导致当被评估模态故障
信息不充分时, 评估的准确性较低. 针对此问题, 首先提出一种共性–个性深度置信网络(Common …
信息不充分时, 评估的准确性较低. 针对此问题, 首先提出一种共性–个性深度置信网络(Common …
A 3D Sparse Autoencoder for Fully Automated Quality Control of Affine Registrations in Big Data Brain MRI Studies
VSG Thadikemalla, NK Focke, S Tummala - Journal of Imaging Informatics …, 2024 - Springer
This paper presents a fully automated pipeline using a sparse convolutional autoencoder for
quality control (QC) of affine registrations in large-scale T1-weighted (T1w) and T2-weighted …
quality control (QC) of affine registrations in large-scale T1-weighted (T1w) and T2-weighted …