Eess-Iv
Automated Corrosion Detection Using Crowd Sourced Training for Deep Learning
Super Resolution Convolutional Neural Network for Feature Extraction in Spectroscopic Data
Combined Image Encryption and Steganography Algorithm in the Spatial Domain
Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation
Self-attention based BiLSTM-CNN classifier for the prediction of ischemic and non-ischemic cardiomyopathy
MRI Super-Resolution with Ensemble Learning and Complementary Priors
Benchmarking Self-Supervised Models for Cardiac Ultrasound View Classification
An Explainable Agentic AI Framework for Uncertainty-Aware and Abstention-Enabled Acute Ischemic Stroke Imaging Decisions
Brain Tissues Segmentation on MR Perfusion Images Using CUSUM Filter for Boundary Pixels
Known-plaintext attack and ciphertext-only attack for encrypted single-pixel imaging
From Brain Imaging to Graph Analysis: a study on ADNIs patient cohort
Seismic data interpolation based on U-net with texture loss
Foundation Models for Medical Imaging: Status, Challenges, and Directions
ROIX-Comp: Optimizing X-ray Computed Tomography Imaging Strategy for Data Reduction and Reconstruction
An Internal Clock Based Space-time Neural Network for Motion Speed Recognition
Detection and classification of masses in mammographic images in a multi-kernel approach
StrokeSave: A Novel, High-Performance Mobile Application for Stroke Diagnosis using Deep Learning and Computer Vision
UniCrop: A Universal, Multi-Source Data Engineering Pipeline for Scalable Crop Yield Prediction
HARU-Net: Hybrid Attention Residual U-Net for Edge-Preserving Denoising in Cone-Beam Computed Tomography
RelA-Diffusion: Relativistic Adversarial Diffusion for Multi-Tracer PET Synthesis from Multi-Sequence MRI
