14 citations · 14 across the 6 of their papers we have counts for
6 papers
Towards Reliable Stain Transfer: An Iterative Data-Model Co-Optimization Framework Based on Multimodal Expert-Guided Assessment
Siyuan Xu, Yan Wang, Haofei Song +7
Histopathological examination primarily relies on hematoxylin and eosin (H&E) and immunohistochemistry (IHC) staining. Although IHC provides critical molecular information, it is c…
Dual-Prior Guided Null-Space Learning with Mixture-of-Splines for Arbitrary Medical Slice Super-Resolution
Haofei Song, Siyuan Xu, Xintian Mao +3
Arbitrary slice super-resolution reconstructs isotropic volumes from anisotropic clinical acquisitions by synthesizing intermediate slices at arbitrary scales. However, treating th…
Discontinuous Galerkin Neural Operator for Pathology Defocus Deblurring
Shaoqing Duan, Haofei Song, Xintian Mao +2
Defocus deblurring in pathological microscopy remains challenging due to the spatially varying and locally discontinuous nature of optical blur induced by a position-dependent inte…
DeepRFTv2: Kernel-level Learning for Image Deblurring
Xintian Mao, Haofei Song, Yin-Nian Liu +2
It is well-known that if a network aims to learn how to deblur, it should understand the blur process. Blurring is naturally caused by the convolution of the sharp image with the b…
Spatially-Variant Degradation Model for Dataset-free Super-resolution
Shaojie Guo, Haofei Song, Qingli Li +1
This paper focuses on the dataset-free Blind Image Super-Resolution (BISR). Unlike existing dataset-free BISR methods that focus on obtaining a degradation kernel for the entire im…
INet: Inter-Intra-slice Interpolation Network for Medical Slice Synthesis
Haofei Song, Xintian Mao, Jing Yu +2
Medical imaging is limited by acquisition time and scanning equipment. CT and MR volumes, reconstructed with thicker slices, are anisotropic with high in-plane resolution and low t…