2 citations · 4 across the 3 of their papers we have counts for
3 papers
eess.IV2022★ 2 cited
Deep learning-based reconstruction of highly accelerated 3D MRI
Sangtae Ahn, Uri Wollner, Graeme McKinnon +10
Purpose: To accelerate brain 3D MRI scans by using a deep learning method for reconstructing images from highly-undersampled multi-coil k-space data Methods: DL-Speed, an unrolled…
eess.IV2021★ 1 cited
High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss
Ke Wang, Jonathan I Tamir, Alfredo De Goyeneche +4
Purpose: To improve reconstruction fidelity of fine structures and textures in deep learning (DL) based reconstructions. Methods: A novel patch-based Unsupervised Feature Loss (UFL…
cs.CV2021★ 1 cited
Parallel mesh reconstruction streams for pose estimation of interacting hands
Uri Wollner, Guy Ben-Yosef
We present a new multi-stream 3D mesh reconstruction network (MSMR-Net) for hand pose estimation from a single RGB image. Our model consists of an image encoder followed by a mesh-…