Publications (7)
Modality-Projection Universal Model for Comprehensive Full-Body Medical Imaging Segmentation
Yixin Chen, Lin Gao, Yajuan Gao +8
The integration of deep learning in medical imaging has shown great promise for enhancing diagnostic, therapeutic, and research outcomes. However, applying universal models across…
Quantitative Analysis of Molecular Transport in the Extracellular Space Using Physics-Informed Neural Network
Jiayi Xie, Hongfeng Li, Jin Cheng +5
The brain extracellular space (ECS), an irregular, extremely tortuous nanoscale space located between cells or between cells and blood vessels, is crucial for nerve cell survival.…
Efficient Image-to-Image Schrödinger Bridge for CT Field of View Extension
Zhenhao Li, Song Ni, Long Yang +6
Computed tomography (CT) is a cornerstone imaging modality for non-invasive, high-resolution visualization of internal anatomical structures. However, when the scanned object excee…
Unsupervised Deformable Image Registration with Local-Global Attention and Image Decomposition
Zhengyong Huang, Xingwen Sun, Xuting Chang +5
Deformable image registration is a critical technology in medical image analysis, with broad applications in clinical practice such as disease diagnosis, multi-modal fusion, and su…
Improving Generalization of Deep Learning for Brain Metastases Segmentation Across Institutions
Yuchen Yang, Shuangyang Zhong, Haijun Yu +4
Background: Deep learning has demonstrated significant potential for automated brain metastases (BM) segmentation; however, models trained at a singular institution often exhibit s…
Towards a general-purpose foundation model for fMRI analysis
Cheng Wang, Yu Jiang, Zhihao Peng +18
Functional MRI (fMRI) is crucial for studying brain function and diagnosing neurological disorders. However, existing analysis methods suffer from reproducibility and transferabili…
QSMnet-INR: Single-Orientation Quantitative Susceptibility Mapping via Implicit Neural Representation in k-Space
Xuan Cai, Ruo-Mi Guo, Xiao-Wen Luo +6
Quantitative Susceptibility Mapping (QSM) quantifies tissue magnetic susceptibility from magnetic-resonance phase data and plays a crucial role in brain microstructure imaging, iro…