7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.CV2024
An Interpretable X-ray Style Transfer via Trainable Local Laplacian Filter
Dominik Eckert, Ludwig Ritschl, Christopher Syben +5
Radiologists have preferred visual impressions or 'styles' of X-ray images that are manually adjusted to their needs to support their diagnostic performance. In this work, we propo…
cs.CV2017★ 7 cited
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes
Siqi Liu, Daguang Xu, S. Kevin Zhou +7
While deep convolutional neural networks (CNN) have been successfully applied for 2D image analysis, it is still challenging to apply them to 3D anisotropic volumes, especially whe…