Objectives The central nervous system is a significant extraglandular target in primary Sjögren’s syndrome (pSS), often ...
The latest Apple-made artificial intelligence model, FastVLM, is now available for users to try out, offering a significantly faster video-captioning AI that can describe what the camera captures on ...
Objectives Structural MRI of the brain is routinely performed on patients referred to memory clinics; however, resulting ...
Physics is the search for and application of rules that can help us understand and predict the world around us. Central to physics are ideas such as energy, mass, particles and waves. Physics attempts ...
Abstract: In image processing, “image fusion” refers to the process of merging the characteristics and specifications of many images into a single, more complete one. Multi-modal medical image fusion ...
This project focuses on developing a high-performance image processing accelerator based on a RISC-inspired VLSI architecture, specifically tailored for computationally intensive image processing ...
Purpose: research / prototyping / educational starter repository for MRI-based focused ultrasound (FUS) treatment planning: image I/O, preprocessing, segmentation, registration, mesh generation, and a ...
UNet and DeepLabV3 for instance segmentation. Starting from a rgb image of a pet the network should output a segmentation mask of the pet. Deep Learning and Generative Models' practical project ...
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