13 citations · 18 across the 4 of their papers we have counts for
4 papers
SAM-Flow: Source-Anchored Masked Flow for Training-Free Image Editing
Haowang Cui, Rui Chen, Tao Luo +3
Training-free image editing has recently attracted increasing attention due to its ability to modify real images using powerful pre-trained diffusion and flow-matching models witho…
VMambaMorph: a Multi-Modality Deformable Image Registration Framework based on Visual State Space Model with Cross-Scan Module
Ziyang Wang, Jian-Qing Zheng, Chao Ma +1
Image registration, a critical process in medical imaging, involves aligning different sets of medical imaging data into a single unified coordinate system. Deep learning networks,…
MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable Registration
Tao Guo, Yinuo Wang, Shihao Shu +5
Capturing voxel-wise spatial correspondence across distinct modalities is crucial for medical image analysis. However, current registration approaches are not practical enough in t…
A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections
Kianoush Falahkheirkhah, Tao Guo, Michael Hwang +5
In clinical diagnostics and research involving histopathology, formalin fixed paraffin embedded (FFPE) tissue is almost universally favored for its superb image quality. However, t…