Advances in brain tumor segmentation and skull stripping: A 3D residual attention U-net approach

Medical Image Integrity Protection Through U-Net Based ROI Segmentation and Hybrid Integer Wavelet–Quadtree Embedding

Lossless Medical Image Compression Using Integer Discrete Wavelet Transform With Adaptive Subband Differencing and Context-Adaptive Entropy Coding

Automated and Robust Brain Skull Stripping using Optimized Pre-processing and a Refined Residual U-Net Framework

A Hybrid Dual-pathway Compression Framework for Volumetric Brain MRI: Lossless ROI via 3D-MEDLC and Learned Lossy RONI via VQ-VAE.

Deep learning–based ROI Localization and Integrity Assurance Using a Keyed Hash Function with a 4D Hyperchaotic System and DWT/DCT Transforms.