collaborators

9 papers

eess.IV2026

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…

cs.CV2026

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…

cs.CV2026

Detail Consistent Stage-Wise Distillation for Efficient 3D MRI Segmentation

Mengchen Fan, Baocheng Geng, Xi Xiao +5

Deploying high-performing 3D medical image segmenters (e.g., nnU-Net) is often limited by memory footprint and inference latency. Compression is therefore necessary, but compact 3D…

cs.CV2026

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…

physics.med-ph2026

Generating synthetic computed tomography for radiotherapy: SynthRAD2025 challenge report

Viktor Rogowski, Maarten L. Terpstra, Niklas Wahl +30

Radiation therapy (RT) requires precise dose delivery over multiple fractions, with CT fundamental for treatment planning due to its electron density information. Repeated CT acqui…

cs.CV2026

Generative Drifting for Conditional Medical Image Generation

Zirong Li, Siyuan Mei, Weiwen Wu +3

Conditional medical image generation plays an important role in many clinically relevant imaging tasks. However, existing methods still face a fundamental challenge in balancing in…