From the 1 of 8 linked papers with an AI index.
8 papers
GB-SVFBP: Gaussian-Based Shift-Variant FBP neural network
Chengze Ye, Linda-Sophie Schneider, Yipeng Sun +1
The paper introduces a Gaussian-based shift-variant filtered backprojection neural network that efficiently reconstructs cone-beam CT images from non-circular trajectories with far…
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…
Filter2Noise: A Framework for Interpretable and Zero-Shot Low-Dose CT Image Denoising
Yipeng Sun, Linda-Sophie Schneider, Siyuan Mei +8
Noise in low-dose computed tomography (LDCT) can obscure important diagnostic details. While deep learning offers powerful denoising, supervised methods require impractical paired…
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…