Jul 15, 2024 · In this work, we address the contrast agent reduction (CAR) problem, which involves reducing the administered dosage of contrast agent while ...

Jul 15, 2024 · In this work, we address the contrast agent reduction (CAR) problem, which involves reducing the administered dosage of contrast agent while ...

Jul 17, 2024 · In this work, we address the contrast agent reduction (CAR) problem, which involves reducing the administered dosage of contrast agent while ...

Jul 15, 2024 · LIP-CAR uses a deep neural network to estimate the contrast-enhanced image from a low-contrast input, enabling a reduction in contrast agent ...

LIP-CAR: contrast agent reduction by a deep learned inverse problem. By Davide Bianchi and others. The adoption of contrast agents in medical imaging ...

Ambiguity in solving imaging inverse problems with deep-learning-based operators ... 2024. LIP-CAR: contrast agent reduction by a deep learned inverse problem. D ...

LIP-CAR: contrast agent reduction by a deep learned inverse problem ... These techniques digitally simulate high-dose images from images acquired with a low dose ...

Jul 15, 2024 · 具体而言，我们学习了图像到图像运算符，将高剂量图像映射到其相应的低剂量对应物，并将CAR任务作为一个逆问题来构建。然后，我们通过正则化优化重新制定来 ...

We name our proposal LIP-CAR, referring to the Learned Inverse Problem for Contrast Agent Reduction, as illustrated in Figure 2. LIP-CAR operates in two primary ...

Aug 12, 2024 · CAR is a method for deformable medical image registration that is robust to variations in image contrast. · It uses a contrast-invariant latent ...