Eess-Iv
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
Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants
VECTORS: Video communication through opportunistic relays and scalable video coding
SLM aided noninvasive imaging through thin scattering layers
Encoding complex fields by using a phase-only optical element: mitigation of pixel crosstalk effects
Analysis of Probabilistic multi-scale fractional order fusion-based de-hazing algorithm
Manifold Learning of Four-dimensional Scanning Transmission Electron Microscopy
