14 citations · 15 across the 18 of their papers we have counts for
18 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…
Dictionary-based Pathology Mining with Hard-instance-assisted Classifier Debiasing for Genetic Biomarker Prediction from WSIs
Ling Zhang, Boxiang Yun, Ting Jin +3
Prediction of genetic biomarkers, e.g., microsatellite instability in colorectal cancer is crucial for clinical decision making. But, two primary challenges hamper accurate predict…
ReinPath: A Multimodal Reinforcement Learning Approach for Pathology
Kangcheng Zhou, Jun Jiang, Qing Zhang +3
Interpretability is significant in computational pathology, leading to the development of multimodal information integration from histopathological image and corresponding text dat…
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…
Efficient Multi-Slide Visual-Language Feature Fusion for Placental Disease Classification
Hang Guo, Qing Zhang, Zixuan Gao +6
Accurate prediction of placental diseases via whole slide images (WSIs) is critical for preventing severe maternal and fetal complications. However, WSI analysis presents significa…
Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation
Ling Zhang, Boxiang Yun, Qingli Li +1
Automated pathology report generation from Whole Slide Images (WSIs) faces two key challenges: (1) lack of semantic content in visual features and (2) inherent information redundan…
MDN: Mamba-Driven Dualstream Network For Medical Hyperspectral Image Segmentation
Shijie Lin, Boxiang Yun, Wei Shen +3
Medical Hyperspectral Imaging (MHSI) offers potential for computational pathology and precision medicine. However, existing CNN and Transformer struggle to balance segmentation acc…
Progressive Vision-Language Prompt for Multi-Organ Multi-Class Cell Semantic Segmentation with Single Branch
Qing Zhang, Hang Guo, Siyuan Yang +2
Pathological cell semantic segmentation is a fundamental technology in computational pathology, essential for applications like cancer diagnosis and effective treatment. Given that…
Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations
Ming Li, Wei Shen, Qingli Li +1
The success of medical image segmentation usually requires a large number of high-quality labels. But since the labeling process is usually affected by the raters' varying skill le…
Boosting Open-Domain Continual Learning via Leveraging Intra-domain Category-aware Prototype
Yadong Lu, Shitian Zhao, Boxiang Yun +4
Despite recent progress in enhancing the efficacy of Open-Domain Continual Learning (ODCL) in Vision-Language Models (VLM), failing to (1) correctly identify the Task-ID of a test…
LoFormer: Local Frequency Transformer for Image Deblurring
Xintian Mao, Jiansheng Wang, Xingran Xie +2
Due to the computational complexity of self-attention (SA), prevalent techniques for image deblurring often resort to either adopting localized SA or employing coarse-grained globa…
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…
Prompting Whole Slide Image Based Genetic Biomarker Prediction
Ling Zhang, Boxiang Yun, Xingran Xie +3
Prediction of genetic biomarkers, e.g., microsatellite instability and BRAF in colorectal cancer is crucial for clinical decision making. In this paper, we propose a whole slide im…
AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
Xintian Mao, Qingli Li, Yan Wang
Despite the recent progress in enhancing the efficacy of image deblurring, the limited decoding capability constrains the upper limit of State-Of-The-Art (SOTA) methods. This paper…
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…
Gene-induced Multimodal Pre-training for Image-omic Classification
Ting Jin, Xingran Xie, Renjie Wan +2
Histology analysis of the tumor micro-environment integrated with genomic assays is the gold standard for most cancers in modern medicine. This paper proposes a Gene-induced Multim…