From the 1 of 9 linked papers with an AI index.
9 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…
WING: A Window-Prior-Based Generative Network with Gated Inception for Cross-Modality CT Synthesis
Siyuan Mei, Yan Xia, Yipeng Sun +7
Generating CT volumes from MRI and CBCT can improve treatment planning in adaptive radiotherapy while avoiding additional radiation exposure. However, direct regression of CT inten…
Speech-Guided Multimodal Learning for Vocal Tract Segmentation in Real-Time MRI
Daiqi Liu, Lukas Mulzer, Md Hasan +11
Segmenting vocal tract articulators in real-time MRI (rtMRI) is a challenging dynamic image segmentation problem characterized by low contrast, rapid motion, and limited spatial re…
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…