11 citations · 25 across the 20 of their papers we have counts for
21 papers
GB-SVFBP: Gaussian-Based Shift-Variant FBP neural network
Chengze Ye, Linda-Sophie Schneider, Yipeng Sun +1
This paper proposes a Gaussian-Based Shift-Variant filtered backprojection (FBP) neural network, which is designed for the efficient reconstruction of non-circular trajectory cone…
Robustness and Stability Analysis of Differentiable Shift-Variant FBP for Cone-Beam CT under Challenging Acquisition Settings
Chengze Ye, Linda-Sophie Schneider, Yipeng Sun +5
The differentiable shift-variant filtered backprojection (SV-FBP) framework enables data-driven estimation of redundancy weights for cone-beam CT reconstruction under general sourc…
Soft Tuy-Completeness for Robust Projection Selection in Cone-Beam CT
Linda-Sophie Schneider, Andreas Maier
This work introduces a continuous soft near-orthogonality score and a resolution-aware saturated coverage objective for projection selection in region-of-interest focused cone-beam…
ICDAR 2026 Competition on Writer Identification and Pen Classification from Hand-Drawn Circles
Thomas Gorges, Janne van der Loop, Lukas Hüttner +4
This paper presents CircleID, a large-scale ICDAR 2026 competition on writer identification and pen classification from scanned hand-drawn circles. The primary objective is to inve…
An update to PYRO-NN: A Python Library for Differentiable CT Operators
Linda-Sophie Schneider, Yipeng Sun, Chengze Ye +2
Deep learning has brought significant advancements to X-ray Computed Tomography (CT) reconstruction, offering solutions to challenges arising from modern imaging technologies. Thes…
Learning Wavelet-Sparse FDK for 3D Cone-Beam CT Reconstruction
Yipeng Sun, Linda-Sophie Schneider, Chengze Ye +4
Cone-Beam Computed Tomography (CBCT) is essential in medical imaging, and the Feldkamp-Davis-Kress (FDK) algorithm is a popular choice for reconstruction due to its efficiency. How…