5 papers · 1 filter
Learning Where and What to Lift for Bi-planar X-ray-to-CT Reconstruction
Yifei Wu, Yicheng Wu, Qiang Ma +5
X-ray imaging can be approximately modeled as the projection of an underlying volumetric attenuation field, with each measurement recording the accumulated attenuation along a corr…
AdamFlow: Adam-based Wasserstein Gradient Flows for Surface Registration in Medical Imaging
Qiang Ma, Qingjie Meng, Xin Hu +2
Surface registration plays an important role for anatomical shape analysis in medical imaging. Existing surface registration methods often face a trade-off between efficiency and r…
Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development
Zhongying Deng, Cheng Tang, Ziyan Huang +124
Foundation models have demonstrated remarkable success across diverse domains and tasks, primarily due to the thrive of large-scale, diverse, and high-quality datasets. However, in…
PAINT: Pathology-Aware Integrated Next-Scale Transformation for Virtual Immunohistochemistry
Rongze Ma, Mengkang Lu, Zhenyu Xiang +4
Virtual immunohistochemistry (IHC) aims to computationally synthesize molecular staining patterns from routine Hematoxylin and Eosin (H\&E) images, offering a cost-effective and ti…
MedSeqFT: Sequential Fine-tuning Foundation Models for 3D Medical Image Segmentation
Yiwen Ye, Yicheng Wu, Xiangde Luo +5
Foundation models have become a promising paradigm for advancing medical image analysis, particularly for segmentation tasks where downstream applications often emerge sequentially…