X Ray
X-ray technology is fundamental to various scientific fields, with current research heavily focused on improving image analysis and interpretation through advanced computational methods. This involves developing and applying deep learning models, including convolutional neural networks (CNNs), transformers, generative adversarial networks (GANs), and diffusion models, to automate tasks such as image reconstruction, object detection (e.g., fractures, catheters, lung abnormalities), and report generation. These advancements significantly impact healthcare by enabling faster, more accurate diagnoses and treatment planning, while also enhancing materials science and other fields through improved data analysis and characterization techniques.
Papers
AI for Porosity and Permeability Prediction from Geologic Core X-Ray Micro-Tomography
Zangir Iklassov, Dmitrii Medvedev, Otabek Nazarov, Shakhboz Razzokov
Deep-XFCT: Deep learning 3D-mineral liberation analysis with micro X-ray fluorescence and computed tomography
Patrick Kin Man Tung, Amalia Yunita Halim, Huixin Wang, Anne Rich, Christopher Marjo, Klaus Regenauer-Lieb