Yiqing Shen

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 62

Top Topics

Colorectal Cancer

Probabilistic Model

Top Venues

IEEE Trans. Medical Imaging

Publications

Yiqing Shen, Outongyi Lv, Houying Zhu, Yu Guang Wang
ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering. AIME (1) (2024)
Erfan Darzi, Yiqing Shen, Yangming Ou, Nanna Maria Sijtsema, Peter M. A. van Ooijen
Tackling heterogeneity in medical federated learning via aligning vision transformers. Artif. Intell. Medicine 155 (2024)
Yiqing Shen, Outongyi Lv, Houying Zhu, Yu Guang Wang
ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering. CoRR (2024)
Tianyuan Song, Guixia Kang, Yiqing Shen
TinySAM-Med3D: A Lightweight Segment Anything Model for Volumetric Medical Imaging with Mixture of Experts. AIME (2) (2024)
Shiling Luo, Junxin Feng, Yiqing Shen, Qiongxiong Ma
Learning to Predict the Optimal Template in Stain Normalization for Histology Image Analysis. AIME (2) (2024)
Haoxiang Gao, Yaqian Li, Kaiwen Long, Ming Yang, Yiqing Shen
A Survey for Foundation Models in Autonomous Driving. CoRR (2024)
Jingpu Wu, Qianqi Huang, Yiqing Shen, Pengfei Guo, Jinyuan Zhou, Shanshan Jiang
Radiomic feature reliability of amide proton transfer-weighted MR images acquired with compressed sensing at 3 T. Int. J. Imaging Syst. Technol. 34 (2) (2024)
Dongsong Zhang, Changjian Wang, Tianhua Chen, Weidao Chen, Yiqing Shen
Scalable Swin Transformer network for brain tumor segmentation from incomplete MRI modalities. Artif. Intell. Medicine 149 (2024)
Yiqing Shen, Zan Chen, Michail Mamalakis, Luhan He, Haiyang Xia, Tianbin Li, Yanzhou Su, Junjun He, Yu Guang Wang
A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding. CoRR (2024)
Yanfei Song, Bangzheng Pu, Peng Wang, Hongxu Jiang, Dong Dong, Yongxiang Cao, Yiqing Shen
SAM-Lightening: A Lightweight Segment Anything Model with Dilated Flash Attention to Achieve 30 times Acceleration. CoRR (2024)
Miao Zhang, Yiqing Shen, Zhuowei Li, Guofeng Pan, Shuai Lu
A Retinex Structure-based Low-light Enhancement Model Guided by Spatial Consistency. ICRA (2024)
Chong Wang, Shuxin Li, Jing Ke, Chen Zhang, Yiqing Shen
RandStainNA++: Enhance Random Stain Augmentation and Normalization Through Foreground and Background Differentiation. IEEE J. Biomed. Health Informatics 28 (6) (2024)
Chong Wang, Zhenqi He, Junjun He, Jin Ye, Yiqing Shen
Histology Image Artifact Restoration with Lightweight Transformer Based Diffusion Model. AIME (2) (2024)
Yizhu Wen, Kai Yi, Jing Ke, Yiqing Shen
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model. CoRR (2024)
Yiqing Shen, Jingxing Li, Xinyuan Shao, Blanca Inigo Romillo, Ankush Jindal, David Dreizin, Mathias Unberath
FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images. CoRR (2024)
Jing Ke, Yizhou Lu, Yiqing Shen, Junchao Zhu, Yijin Zhou, Jinghan Huang, Jieteng Yao, Xiaoyao Liang, Yi Guo, Zhonghua Wei, Sheng Liu, Qin Huang, Fusong Jiang, Dinggang Shen
ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets. Medical Image Anal. 85 (2023)
Miao Zhang, Yiqing Shen, Shenghui Zhong
SCRNet: a Retinex Structure-based Low-light Enhancement Model Guided by Spatial Consistency. CoRR (2023)
Eduard Lloret Carbonell, Yiqing Shen, Xin Yang, Jing Ke
COVID-19 Pneumonia Classification with Transformer from Incomplete Modalities. MICCAI (5) (2023)
Xu Liu, Tong Zhou, Yuanxin Wang, Yuping Wang, Qinjingwen Cao, Weizhi Du, Yonghuan Yang, Junjun He, Yu Qiao, Yiqing Shen
Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey. CoRR (2023)
Yuxiang Sun, Kai Liu, Yiqing Shen, Xiaodan Han, Jing Ke
HistDeblur: A Pyramid Trustworthy Framework for Blurry Histologic Artifacts Quality Control. BIBM (2023)
Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Lió, Yuguang Wang
Graph Denoising Diffusion for Inverse Protein Folding. NeurIPS (2023)
Erfan Darzi, Yiqing Shen, Nanna Maria Sijtsema, Peter M. A. van Ooijen
Tackling Heterogeneity in Medical Federated learning via Vision Transformers. CoRR (2023)
Yiqing Shen, Jing Ke
StainDiff: Transfer Stain Styles of Histology Images with Denoising Diffusion Probabilistic Models and Self-ensemble. MICCAI (6) (2023)
Haoyu Wang, Sizheng Guo, Jin Ye, Zhongying Deng, Junlong Cheng, Tianbin Li, Jianpin Chen, Yanzhou Su, Ziyan Huang, Yiqing Shen, Bin Fu, Shaoting Zhang, Junjun He, Yu Qiao
SAM-Med3D. CoRR (2023)
Yiqing Shen, Pengfei Guo, Jingpu Wu, Qianqi Huang, Nhat Le, Jinyuan Zhou, Shanshan Jiang, Mathias Unberath
MoViT: Memorizing Vision Transformers for Medical Image Analysis. MLMI@MICCAI (2) (2023)
Yiqing Shen, Arcot Sowmya, Yulin Luo, Xiaoyao Liang, Dinggang Shen, Jing Ke
A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN. IEEE Trans. Medical Imaging 42 (7) (2023)
Yiqing Shen, Bingxin Zhou, Xinye Xiong, Ruitian Gao, Yu Guang Wang
How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images. BIBM (2023)
Zhenqi He, Mathias Unberath, Jing Ke, Yiqing Shen
TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation. CoRR (2023)
Yonghao Li, Yiqing Shen, Jiadong Zhang, Shujie Song, Zhenhui Li, Jing Ke, Dinggang Shen
A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification. IEEE Trans. Medical Imaging 42 (12) (2023)
Yiqing Shen, Liwu Xu, Yuzhe Yang, Yaqian Li, Yandong Guo
Mixed Sample Augmentation for Online Distillation. ICASSP (2023)
Zhenqi He, Junjun He, Jin Ye, Yiqing Shen
Artifact Restoration in Histology Images with Diffusion Probabilistic Models. CoRR (2023)
Jing Ke, Yiqing Shen, Yizhou Lu, Yi Guo, Dinggang Shen
Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images. Comput. Methods Programs Biomed. 235 (2023)
Zhenqi He, Junjun He, Jin Ye, Yiqing Shen
Artifact Restoration in Histology Images with Diffusion Probabilistic Models. MICCAI (6) (2023)
Junchao Zhu, Yiqing Shen, Haolin Zhang, Jing Ke
An Anti-biased TBSRTC-Category Aware Nuclei Segmentation Framework with a Multi-label Thyroid Cytology Benchmark. MICCAI (6) (2023)
Jing Ke, Kai Liu, Yuxiang Sun, Yuying Xue, Jiaxuan Huang, Yizhou Lu, Jun Dai, Yaobing Chen, Xiaodan Han, Yiqing Shen, Dinggang Shen
Artifact Detection and Restoration in Histology Images With Stain-Style and Structural Preservation. IEEE Trans. Medical Imaging 42 (12) (2023)
Qingyang Wu, Yiqing Shen, Jing Ke
A General Computationally-Efficient 3D Reconstruction Pipeline for Multiple Images with Point Clouds. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Yanzhou Su, Yiqing Shen, Jin Ye, Junjun He, Jian Cheng
Revisiting Feature Propagation and Aggregation in Polyp Segmentation. MICCAI (5) (2023)
Zhenqi He, Mathias Unberath, Jing Ke, Yiqing Shen
TransNuSeg: A Lightweight Multi-task Transformer for Nuclei Segmentation. MICCAI (4) (2023)
Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Liò, Yu Guang Wang
Graph Denoising Diffusion for Inverse Protein Folding. CoRR (2023)
Yiqing Shen, Yuyin Zhou, Lequan Yu
-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning. CoRR (2022)
Yiqing Shen, Liwu Xu, Yuzhe Yang, Yaqian Li, Yandong Guo
Online Distillation with Mixed Sample Augmentation. CoRR (2022)
Yiqing Shen, Yulin Luo, Dinggang Shen, Jing Ke
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization. MICCAI (2) (2022)
Yiqing Shen, Jing Ke
Sampling Based Tumor Recognition in Whole-Slide Histology Image With Deep Learning Approaches. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Yiqing Shen, Liwu Xu, Yuzhe Yang, Yaqian Li, Yandong Guo
Self-Distillation from the Last Mini-Batch for Consistency Regularization. CoRR (2022)
Yiqing Shen, Dinggang Shen, Jing Ke
Identify Representative Samples by Conditional Random Field of Cancer Histology Images. IEEE Trans. Medical Imaging 41 (12) (2022)
Yiqing Shen, Yuyin Zhou, Lequan Yu
-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning. CVPR (2022)
Yiqing Shen, Bingxin Zhou, Xinye Xiong, Ruitian Gao, Yu Guang Wang
How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images. CoRR (2022)
Yiqing Shen, Liwu Xu, Yuzhe Yang, Yaqian Li, Yandong Guo
Self-Distillation from the Last Mini-Batch for Consistency Regularization. CVPR (2022)
Yiqing Shen, Yulin Luo, Dinggang Shen, Jing Ke
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization. CoRR (2022)
Jinghan Huang, Yiqing Shen, Dinggang Shen, Jing Ke
-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection. MICCAI (8) (2021)
Yiqing Shen, Yizhou Lu, Yulin Luo, Jing Ke
Cluster Image Patches with Multiple Mutual Information in Unlabelled Whole-Slide Image. BIBM (2021)
Jing Ke, Yiqing Shen, Xiaoyao Liang, Dinggang Shen
Contrastive Learning Based Stain Normalization Across Multiple Tumor in Histopathology. MICCAI (8) (2021)
Yiqing Shen, Jing Ke
Representative Region Based Active Learning For Histological Classification Of Colorectal Cancer. ISBI (2021)
Jing Ke, Yiqing Shen, Xinyu Jiang, Yi Guo, Yaobing Chen, Xiaoyao Liang
Multiple-datasets and multiple-label based color normalization in histopathology with cGAN. Medical Imaging: Digital Pathology (2021)
Yufei Wang, Yiqing Shen, Meng Yuan, Jing Xu, Bin Yang, Chi Liu, Wenjia Cai, Weijing Cheng, Wei Wang
A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image. CoRR (2021)
Yiqing Shen, Jing Ke
Su-Sampling Based Active Learning For Large-Scale Histopathology Image. ICIP (2021)
Jing Ke, Yiqing Shen, Yizhou Lu
Style Normalization In Histology With Federated Learning. ISBI (2021)
Jing Ke, Yiqing Shen, Jason D. Wright, Naifeng Jing, Xiaoyao Liang, Dinggang Shen
Identifying patch-level MSI from histological images of Colorectal Cancer by a Knowledge Distillation Model. BIBM (2020)
Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Naifeng Jing, Xiaoyao Liang
A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image. AIME (2020)
Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Xiaoyao Liang
A Prediction Model of Microsatellite Status from Histology Images. ICBET (2020)
Jing Ke, Yiqing Shen, Yi Guo, Xiaoyao Liang
Fast Tumor Detector in Whole-Slide Image With Dynamic Programing Based Monte Carlo Sampling. ICIP (2020)
Yiqing Shen, Jing Ke
A Deformable CRF Model for Histopathology Whole-Slide Image Classification. MICCAI (5) (2020)