Eess-Iv
Extension of Convolutional Neural Network with General Image Processing Kernels
Inversion of 1D frequency- and time-domain electromagnetic data with convolutional neural networks
Occluded Face Recognition Using Low-rank Regression with Generalized Gradient Direction
Convolutional Restricted Boltzmann Machine Based-Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
Deep Learning Training with Simulated Approximate Multipliers
Study on the spectral reconstruction of typical surface types based on spectral library and principal component analysis
Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma
Enhancement of seismic imaging: An innovative deep learning approach
Fooling a Real Car with Adversarial Traffic Signs
Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images
Optical synthetic sampling imaging: concept and an example of microscopy
Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy
Laplacian Flow Dynamics on Geometric Graphs for Anatomical Modeling of Cerebrovascular Networks
Dynamic 3-D measurement based on fringe-to-fringe transformation using deep learning
Unsupervised Deep Contrast Enhancement with Power Constraint for OLED Displays
Enhancement of Underwater Images with Statistical Model of Background Light and Optimization of Transmission Map
High-throughput, high-resolution registration-free generated adversarial network microscopy
An Objective Evaluation Metric for image fusion based on Del Operator
Medical Image Registration Using Deep Neural Networks: A Comprehensive Review
Optimal principal component Analysis of STEM XEDS spectrum images
Accurate phase retrieval of complex point spread functions with deep residual neural networks
