Purpose Neural networks have received recent interest for reconstruction of undersampled
MR acquisitions. Ideally, network performance should be optimized by drawing the training …

Deep neural networks have been extensively studied for undersampled MRI reconstruction.
While achieving state-of-the-art performance, they are trained and deployed specifically for …

Deep learning based methods for image reconstruction are state-of-the-art for a variety of
imaging tasks. However, neural networks often perform worse if the training data differs …

Cardiac MRI, crucial for evaluating heart structure and function, faces limitations like slow
imaging and motion artifacts. Undersampling reconstruction, especially data-driven …

In this paper, we provide a method for robust estimation of pedestrian pose that is especially
useful for autonomous vehicles traveling toward pedestrians far away. Pedestrians in the far …

Medical imaging is an indispensable component of modern medical research as well as
clinical practice. Nevertheless, imaging techniques such as magnetic resonance imaging …