X Chen, M Liu, R Wang, R Hu, D Liu… - … on Neural Networks …, 2024 - ieeexplore.ieee.org
Medical images are often characterized by their structured anatomical representations and spatially inhomogeneous contrasts. Leveraging anatomical priors in neural networks can …
Many existing learning-based deformable image registration methods impose constraints on deformation fields to ensure they are globally smooth and continuous. However, this …
Chronic active multiple sclerosis lesions, also referred to as rim+ lesions, are characterized by a hyperintense rim observed at the lesion's edge on quantitative susceptibility maps …
In medical imaging, scans often reveal objects with varied contrasts but consistent internal intensities or textures. This characteristic enables the use of low-frequency approximations …
Recent research highlights that the Directed Accumulator (DA), through its parametrization of geometric priors into neural networks, has notably improved the performance of medical …
Recent transformers have made remarkable strides in medical image analysis, enhancing the efficacy of various downstream applications. Yet, the rich geometric patterns present in …