activity
20242026
most citedA gradient-based approach to fast and accurate head motion compensation in cone-beam CT

6 citations · 9 across the 17 of their papers we have counts for

collaborators
Showing cs.CVShow all

7 papers · 1 filter

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…

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…

cs.CV2024

DRACO: Differentiable Reconstruction for Arbitrary CBCT Orbits

Chengze Ye, Linda-Sophie Schneider, Yipeng Sun +3

This paper introduces a novel method for reconstructing cone beam computed tomography (CBCT) images for arbitrary orbits using a differentiable shift-variant filtered backprojectio…

cs.CV2024

Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images

Mareike Thies, Noah Maul, Siyuan Mei +8

Motion artifacts can compromise the diagnostic value of computed tomography (CT) images. Motion correction approaches require a per-scan estimation of patient-specific motion patte…

cs.CV2024

BigReg: An Efficient Registration Pipeline for High-Resolution X-Ray and Light-Sheet Fluorescence Microscopy

Siyuan Mei, Fuxin Fan, Mareike Thies +9

Recently, X-ray microscopy (XRM) and light-sheet fluorescence microscopy (LSFM) have emerged as pivotal tools in preclinical research, particularly for studying bone remodeling dis…