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Neurocomputing, Volume 392
Volume 392, June 2020
- Yue Wang, Yuting Liu, Zhi-Ming Ma:
The scale-invariant space for attention layer in neural network. 1-10 - Yue Wang, Yuting Liu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
Target transfer Q-learning and its convergence analysis. 11-22 - Aysun Urhan
, Burak Alakent
Integrating adaptive moving window and just-in-time learning paradigms for soft-sensor design. 23-37 - Feng Zhou
Fine-grained facial expression analysis using dimensional emotion model. 38-49 - Fei Wang
Multi-column point-CNN for sketch segmentation. 50-59 - Jingtao Guo, Yi Liu:
Attributes guided facial image completion. 60-69 - Chong Tan
Group consensus control for discrete-time heterogeneous multi-agent systems with time delays. 70-85 - Huiyuan Li
Exponential synchronization of multiple impulsive discrete-time memristor-based neural networks with stochastic perturbations and time-varying delays. 86-97 - Yanyan Fang, Shenghua Gao
Multi-level feature fusion based Locality-Constrained Spatial Transformer network for video crowd counting. 98-107 - Xiaohu Yan
Multimodal image registration using histogram of oriented gradient distance and data-driven grey wolf optimizer. 108-120
- Ke Lu
Editorial: Deep learning for medical image analysis. 121-123 - Aysun Sezer
Convolutional neural network based diagnosis of bone pathologies of proximal humerus. 124-131 - Xianhua Zeng, Li Wen, Bang-Gui Liu, Xiaojun Qi:
Deep learning for ultrasound image caption generation based on object detection. 132-141 - Hongwei Yue, Xiaorong Li, Ken Cai, Huazhou Chen, Shufen Liang, Tianlei Wang, Wenhua Huang:
Non-contact heart rate detection by combining empirical mode decomposition and permutation entropy under non-cooperative face shake. 142-152 - Bin Xiao, Yunqiu Xu, Xiuli Bi, Junhui Zhang, Xu Ma:
Heart sounds classification using a novel 1-D convolutional neural network with extremely low parameter consumption. 153-159 - Ning He, Ruolin Wang, Yixue Wang:
Dynamic MRI reconstruction exploiting blind compressed sensing combined transform learning regularization. 160-167 - Hiba Chougrad
Multi-label transfer learning for the early diagnosis of breast cancer. 168-180 - Bulat Ibragimov
Automated hepatobiliary toxicity prediction after liver stereotactic body radiation therapy with deep learning-based portal vein segmentation. 181-188 - Zeynettin Akkus
Robust brain extraction tool for CT head images. 189-195 - Junhao Wu
A fully convolutional network feature descriptor: Application to left ventricle motion estimation based on graph matching in short-axis MRI. 196-208 - Jinglong Du
Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network. 209-220 - Linfang Yu
A framework for hierarchical division of retinal vascular networks. 221-232 - Xiaohong W. Gao
Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture. 233-244 - Pengyi Hao, Kun You, Haozhe Feng
Lung adenocarcinoma diagnosis in one stage. 245-252 - Xiaoqi Liu, Chengliang Wang, Jianying Bai, Guobin Liao:
Fine-tuning Pre-trained Convolutional Neural Networks for Gastric Precancerous Disease Classification on Magnification Narrow-band Imaging Images. 253-267 - Shouting Feng, Zhongshuo Zhuo
CcNet: A cross-connected convolutional network for segmenting retinal vessels using multi-scale features. 268-276 - Laquan Li, Xiangming Zhao, Wei Lu
Deep learning for variational multimodality tumor segmentation in PET/CT. 277-295 - Xiuli Bi, Shutong Li, Bin Xiao, Yu Li, Guoyin Wang, Xu Ma:
Computer aided Alzheimer's disease diagnosis by an unsupervised deep learning technology. 296-304 - Hao Chen
Brain tumor segmentation with deep convolutional symmetric neural network. 305-313 - Song Guo
Bin loss for hard exudates segmentation in fundus images. 314-324 - Maria G. Baldeon Calisto
AdaResU-Net: Multiobjective adaptive convolutional neural network for medical image segmentation. 325-340
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