C. Yadav

Two-stage GAN with Attention Gates for Brain MRI Inpainting: A Hybrid Framework for Preserving Diagnostic Features in Alzheimer's Disease Classification

Clinical brain MRI scans for Alzheimer's disease diagnosis often suffer from motion artifacts, signal dropout, and incomplete acquisitions. While deep learning methods like LaMa produce visually coherent inpainting, they may alter critical anatomical structures, and traditional methods such as OpenCV Telea maintain loc...