3 papers
q-bio.QM2026
Unsupervised Denoising of Diffusion-Weighted Images with Bias and Variance Corrected Noise Modeling
Jine Xie, Zhicheng Zhang, Yunwei Chen +2
Diffusion magnetic resonance imaging (dMRI) plays a vital role in both clinical diagnostics and neuroscience research. However, its inherently low signal-to-noise ratio (SNR), espe…
cs.CV2025
Deep Learning-Based Diffusion MRI Tractography: Integrating Spatial and Anatomical Information
Yiqiong Yang, Yitian Yuan, Baoxing Ren +3
Diffusion MRI tractography technique enables non-invasive visualization of the white matter pathways in the brain. It plays a crucial role in neuroscience and clinical fields by fa…
cs.CV2024
Reliable Deep Diffusion Tensor Estimation: Rethinking the Power of Data-Driven Optimization Routine
Jialong Li, Zhicheng Zhang, Yunwei Chen +6
Diffusion tensor imaging (DTI) holds significant importance in clinical diagnosis and neuroscience research. However, conventional model-based fitting methods often suffer from sen…