Yiqing Shen

159 papers A* 6A 2B 5Misc 1Journal 82Unranked 60
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive feature decoupled network for polyp segmentation.
Biomed. Signal Process. Control.
Shibin Zou, Guoan Wang, Yueyang Zhang, Yiqing Shen, Mengxia Yuan, Yanzhou Su
2026 J jnl
DM-RRG: Radiology image report generation with disease-topic guidance and multi-grained Image-Text alignment.
Biomed. Signal Process. Control.
Sibo Ju, Min Wang, Yulong Xiao, Yiqing Shen, Junlong Cheng, Yanzhou Su, Xiangwen Liao
2026 J jnl
DiffM
IEEE J. Biomed. Health Informatics
Wen Ye, Zhetao Guo, Yuxiang Ren, Yi Tian, Yushi Shen, Zan Chen, Junjun He, Jing Ke, Yiqing Shen
2026 — ed.
Foundation Models for General Medical AI - Third International Workshop, MedAGI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings
MedAGI
Won-Ki Jeong, Hyunwoo J. Kim, Zhongying Deng, Yiqing Shen, Angelica I. Avilés-Rivero, Shaoting Zhang
2026 A* conf
Mitigating Hallucinations in Large Language Models via Causal Reasoning.
AAAI
Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Li Li, Jie Wang, Xiyang Hu, Yue Zhao
2026 J jnl
ProtRLSearch: A Multi-Round Multimodal Protein Search Agent with Large Language Models Trained via Reinforcement Learning.
CoRR
Congying Liu, Taihao Li, Min Huang, Xingyuan Wei, Peipei Liu, Yiqing Shen, Yanxu Mao, Tiehan Cui
2026 J jnl
Reasoning text-to-image retrieval with large language models and digital twin representations.
Knowl. Based Syst.
Zexu Lin, Dell Zhang, Yiqing Shen, Xuelong Li
2026 J jnl
Reasoning-guided structured planning and search in large language models.
Inf. Process. Manag.
Yiqing Shen, Wentao Shi
2026 J jnl
SearchExpert: A GenAI-driven framework for reasoning-intensive multimedia information fusion through fine-tuning and reinforcement learning.
Inf. Fusion
Jinzheng Li, Yiqing Shen, Wei Zhou, Hui Chen
2026 J jnl
Towards Controllable Video Synthesis of Routine and Rare OR Events.
CoRR
Dominik Schneider, Lalithkumar Seenivasan, Sampath Rapuri, Vishalroshan Anil, Aiza Maksutova, Yiqing Shen, Jan Emily Mangulabnan, Hao Ding, Jose L. Porras, Masaru Ishii, Mathias Unberath
2025 — conf
A Human-Centered AI Agent Framework with Large Language Models for Academic Research Tasks.
NLPCC (1)
Zan Chen, Jingjing Chen, Yu Guang Wang, Yiqing Shen
2025 — conf
A Human-Centered Mutltimodal AutoML Framework for Discriminative and Generative Tasks with Large Language Models.
BIBM
Jiayi Guo, Liyun Zhang, Yiqing Shen
2025 J jnl
A missing multimodal imputation diffusion model for 2D X-ray and 3D CT in COVID-19 diagnosis.
Expert Syst. Appl.
Zijian Gao, Dong Chen, Yiqing Shen
2025 J jnl
A multimodal deep learning framework for enzyme turnover prediction with missing modality.
Comput. Biol. Medicine
Xin Sun, Yu Guang Wang, Yiqing Shen
2025 J jnl
A survey for large language models in biomedicine.
Artif. Intell. Medicine
Chong Wang, Mengyao Li, Junjun He, Zhongruo Wang, Erfan Darzi, Zan Chen, Jin Ye, Tianbin Li, Yanzhou Su, Jing Ke, Kaili Qu, Shuxin Li, Yi Yu, Pietro Liò, Tianyun Wang, Yu Guang Wang, Yiqing Shen
2025 A conf
Adaptive Semantic Alignment for Automated Radiology Report Generation via Cross-Modal Knowledge Integration.
ICME
Sibo Ju, Zhaozhen Chen, Yulong Xiao, Yiqing Shen, Yanzhou Su, Kai Chen, Xiangwen Liao
2025 J jnl
An Agent Framework for Real-Time Financial Information Searching with Large Language Models.
CoRR
Jinzheng Li, Jingshu Zhang, Hongguang Li, Yiqing Shen
2025 J jnl
AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers.
CoRR
Zijie Lin, Yiqing Shen, Qilin Cai, He Sun, Jinrui Zhou, Mingjun Xiao
2025 — conf
AutoProteinEngine: A Large Language Model Driven Agent Framework for Multimodal AutoML in Protein Engineering.
COLING (Industry)
Yungeng Liu, Zan Chen, Yuguang Wang, Yiqing Shen
2025 — conf
BioMedSearch: A Multi-Source Biomedical Retrieval Framework Based on LLMs.
BIBM
Congying Liu, Xingyuan Wei, Peipei Liu, Yiqing Shen, Yanxu Mao, Tiehan Cui
2025 J jnl
BioMedSearch: A Multi-Source Biomedical Retrieval Framework Based on LLMs.
CoRR
Congying Liu, Xingyuan Wei, Peipei Liu, Yiqing Shen, Yanxu Mao, Tiehan Cui
2025 J jnl
Constructing and Interpreting Digital Twin Representations for Visual Reasoning via Reinforcement Learning.
CoRR
Yiqing Shen, Mathias Unberath
2025 J jnl
Counterfactual World Models via Digital Twin-conditioned Video Diffusion.
CoRR
Yiqing Shen, Aiza Maksutova, Chenjia Li, Mathias Unberath
2025 — conf
DiffDisReg: Mitigating Forgetting in Diffusion Models with Discriminative Regularization.
BIBM
Yixuan Jiang, Wentao Shi, Hsiao-Dong Chiang, Yiqing Shen
2025 — conf
Discovering Optimal Virtual Staining Templates for Pathology Image Analysis via Physics-Inspired Particle Swarm Optimization.
BIBM
Yiqing Shen, Yuying Xue, Jing Ke
2025 J jnl
Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning.
CoRR
Jinzheng Li, Sibo Ju, Yanzhou Su, Hongguang Li, Yiqing Shen
2025 B conf
Evaluate the Generative Capability of Diffusion Models from a Discriminative Perspective.
ICMR
Yixuan Jiang, Hsiao-Dong Chiang, Yiqing Shen
2025 J jnl
Fast Reasoning Segmentation for Images and Videos.
CoRR
Yiqing Shen, Mathias Unberath
2025 — conf
Feature-Aware Sequence Models for Tabular Data Processing with Missing Values.
ICANN (3)
Yan Qian, Yiqing Shen
2025 — conf
FinSearch: A Temporal-Aware Search Agent Framework for Real-Time Financial Information Retrieval with Large Language Models.
ICAIF
Yiqing Shen, Jingshu Zhang, Feng Chen, Kaiyuan Yan, Hongguang Li
2025 J jnl
FinSphere: A Conversational Stock Analysis Agent Equipped with Quantitative Tools based on Real-Time Database.
CoRR
Shijie Han, Changhai Zhou, Yiqing Shen, Tianning Sun, Yuhua Zhou, Xiaoxia Wang, Zhixiao Yang, Jingshu Zhang, Hongguang Li
2025 J jnl
FinSphere: a real-time stock analysis agent with instruction-tuned large language models and domain-specific tool integration.
Frontiers Inf. Technol. Electron. Eng.
Shijie Han, Jingshu Zhang, Yiqing Shen, Kaiyuan Yan, Hongguang Li
2025 — ed.
Foundation Models for General Medical AI - Second International Workshop, MedAGI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
MedAGI@MICCAI
Zhongying Deng, Yiqing Shen, Hyunwoo J. Kim, Won-Ki Jeong, Angelica I. Avilés-Rivero, Junjun He, Shaoting Zhang
2025 J jnl
Learnable color space conversion and fusion for stain normalization in pathology images.
Medical Image Anal.
Jing Ke, Yijin Zhou, Yiqing Shen, Yi Guo, Ning Liu, Xiaodan Han, Dinggang Shen
2025 J jnl
Mitigating Hallucinations in Large Language Models via Causal Reasoning.
CoRR
Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Shawn Li, Jie Wang, Xiyang Hu, Yue Zhao
2025 — conf
Multi-scale Spatial Context with Learnable High-Frequency Augmentation for Polyp Segmentation.
EMA4MICCAI
Min Wang, Yanzhou Su, Yiqing Shen, Wen Wang
2025 J jnl
Multimodal Medical Image Binding via Shared Text Embeddings.
CoRR
Yunhao Liu, Suyang Xi, Shiqi Liu, Hong Ding, Chicheng Jin, Chenxi Yang, Junjun He, Yiqing Shen
2025 J jnl
Online Reasoning Video Segmentation with Just-in-Time Digital Twins.
CoRR
Yiqing Shen, Bohan Liu, Chenjia Li, Lalithkumar Seenivasan, Mathias Unberath
2025 — conf
Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins.
MICCAI (9)
Yiqing Shen, Chenjia Li, Bohan Liu, Cheng-Yi Li, Tito Porras, Mathias Unberath
2025 J jnl
Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins.
CoRR
Yiqing Shen, Chenjia Li, Bohan Liu, Cheng-Yi Li, Tito Porras, Mathias Unberath
2025 J jnl
Position: Foundation Models Need Digital Twin Representations.
CoRR
Yiqing Shen, Hao Ding, Lalithkumar Seenivasan, Tianmin Shu, Mathias Unberath
2025 J jnl
ProtoSAM-3D: Interactive semantic segmentation in volumetric medical imaging via a Segment Anything Model and mask-level prototypes.
Comput. Medical Imaging Graph.
Yiqing Shen, David Dreizin, Blanca Inigo Romillo, Mathias Unberath
2025 J jnl
RVTBench: A Benchmark for Visual Reasoning Tasks.
CoRR
Yiqing Shen, Chenjia Li, Chenxiao Fan, Mathias Unberath
2025 J jnl
Reasoning Segmentation for Images and Videos: A Survey.
CoRR
Yiqing Shen, Chenjia Li, Fei Xiong, Jeong-O. Jeong, Tianpeng Wang, Michael Latman, Mathias Unberath
2025 J jnl
Reasoning Text-to-Video Retrieval via Digital Twin Video Representations and Large Language Models.
CoRR
Yiqing Shen, Chenxiao Fan, Chenjia Li, Mathias Unberath
2025 J jnl
Reinforcement Fine-Tuning for Reasoning towards Multi-Step Multi-Source Search in Large Language Models.
CoRR
Wentao Shi, Yiqing Shen
2025 J jnl
SAM-Med3D: A Vision Foundation Model for General-Purpose Segmentation on Volumetric Medical Images.
IEEE Trans. Neural Networks Learn. Syst.
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
2025 J jnl
SIT-SAM: A semantic-integration transformer that adapts the Segment Anything Model to zero-shot medical image semantic segmentation.
Biomed. Signal Process. Control.
Wentao Shi, Junjun He, Yiqing Shen
2025 J jnl
STReLU: Spatio-Temporal Rectified Linear Unit for Traffic Forecasting.
IEEE Internet Things J.
Guangchuan Hu, Yiqing Shen
2025 J jnl
SegAnyPath: A Foundation Model for Multi- Resolution Stain-Variant and Multi-Task Pathology Image Segmentation.
IEEE Trans. Medical Imaging
Chong Wang, Yajie Wan, Shuxin Li, Kaili Qu, Xuezhi Zhou, Junjun He, Jing Ke, Yi Yu, Tianyun Wang, Yiqing Shen
2025 J jnl
TSCnet: A Text-driven Semantic-level Controllable Framework for Customized Low-Light Image Enhancement.
CoRR
Miao Zhang, Jun Yin, Pengyu Zeng, Yiqing Shen, Shuai Lu, Xueqian Wang
2025 J jnl
TSCnet: A text-driven semantic-level controllable framework for customized low-light image enhancement.
Neurocomputing
Miao Zhang, Jun Yin, Pengyu Zeng, Yiqing Shen, Shuai Lu, Xueqian Wang
2025 — conf
Temporally-Constrained Video Reasoning Segmentation and Automated Benchmark Construction.
MedAGI
Yiqing Shen, Chenjia Li, Chenxiao Fan, Mathias Unberath
2025 J jnl
Temporally-Constrained Video Reasoning Segmentation and Automated Benchmark Construction.
CoRR
Yiqing Shen, Chenjia Li, Chenxiao Fan, Mathias Unberath
2025 J jnl
Text-Driven Reasoning Video Editing via Reinforcement Learning on Digital Twin Representations.
CoRR
Yiqing Shen, Chenjia Li, Mathias Unberath
2025 J jnl
Toward the unification of generative and discriminative visual foundation model: a survey.
Vis. Comput.
Xu Liu, Tong Zhou, Chong Wang, Yuping Wang, Yuanxin Wang, Qinjingwen Cao, Weizhi Du, Yonghuan Yang, Junjun He, Yu Qiao, Yiqing Shen
2025 J jnl
TwinOR: Photorealistic Digital Twins of Dynamic Operating Rooms for Embodied AI Research.
CoRR
Han Zhang, Yiqing Shen, Roger D. Soberanis-Mukul, Ankita Ghosh, Hao Ding, Lalithkumar Seenivasan, Jose L. Porras, Zhekai Mao, Chenjia Li, Wenjie Xiao, Lonny Yarmus, Angela Christine Argento, Masaru Ishii, Mathias Unberath
2025 J jnl
Understanding the Implicit User Intention via Reasoning with Large Language Model for Image Editing.
CoRR
Yijia Wang, Yiqing Shen, Weiming Chen, Zhihai He
2024 — conf
A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding.
BIBM
Yiqing Shen, Zan Chen, Michail Mamalakis, Luhan He, Haiyang Xia, Tianbin Li, Yanzhou Su, Junjun He, Yu Guang Wang
2024 J jnl
A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding.
CoRR
Yiqing Shen, Zan Chen, Michail Mamalakis, Luhan He, Haiyang Xia, Tianbin Li, Yanzhou Su, Junjun He, Yu Guang Wang
2024 — conf
A Regressor-Guided Graph Diffusion Model for Predicting Enzyme Mutations to Enhance Turnover Number.
BIBM
Xiaozhu Yu, Kai Yi, Yu Guang Wang, Yiqing Shen
2024 A* conf
A Retinex Structure-based Low-light Enhancement Model Guided by Spatial Consistency.
ICRA
Miao Zhang, Yiqing Shen, Zhuowei Li, Guofeng Pan, Shuai Lu
2024 J jnl
A Survey for Foundation Models in Autonomous Driving.
CoRR
Haoxiang Gao, Yaqian Li, Kaiwen Long, Ming Yang, Yiqing Shen
2024 J jnl
A Survey for Large Language Models in Biomedicine.
CoRR
Chong Wang, Mengyao Li, Junjun He, Zhongruo Wang, Erfan Darzi, Zan Chen, Jin Ye, Tianbin Li, Yanzhou Su, Jing Ke, Kaili Qu, Shuxin Li, Yi Yu, Pietro Liò, Tianyun Wang, Yu Guang Wang, Yiqing Shen
2024 — conf
A Tiny Efficient U-Net with Gated Linear Attention for Medical Image Segmentation.
BIBM
Sibo Ju, Zhaozhen Chen, Xiangwen Liao, Yiqing Shen, Junjun He, Yanzhou Su
2024 J jnl
ADAGENT: Anomaly Detection Agent With Multimodal Large Models in Adverse Environments.
IEEE Access
Miao Zhang, Yiqing Shen, Jun Yin, Shuai Lu, Xueqian Wang
2024 J jnl
An Intrinsically Explainable Approach to Detecting Vertebral Compression Fractures in CT Scans via Neurosymbolic Modeling.
CoRR
Blanca Inigo Romillo, Yiqing Shen, Benjamin D. Killeen, Michelle Song, Axel Krieger, Christopher Bradley, Mathias Unberath
2024 A* conf
AutoM
ACM Multimedia
Daqin Luo, Chengjian Feng, Yuxuan Nong, Yiqing Shen
2024 J jnl
AutoM3L: An Automated Multimodal Machine Learning Framework with Large Language Models.
CoRR
Daqin Luo, Chengjian Feng, Yuxuan Nong, Yiqing Shen
2024 J jnl
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model.
CoRR
Yizhu Wen, Kai Yi, Jing Ke, Yiqing Shen
2024 A conf
Diffimpute: Tabular Data Imputation with Denoising Diffusion Probabilistic Model.
ICME
Yizhu Wen, Yiwei Wang, Kai Yi, Jing Ke, Yiqing Shen
2024 — conf
DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image Registration.
MICCAI (2)
Yongtai Zhuo, Yiqing Shen
2024 J jnl
DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image Registration.
CoRR
Yongtai Zhuo, Yiqing Shen
2024 — conf
Edge-SAN: An Edge-Prompted Foundation Model for Accurate Nuclei Instance Segmentation in Histology Images.
BIBM
Xuening Wu, Yiqing Shen, Qing Zhao, Yanlan Kang, Ruiqi Hu, Wenqiang Zhang
2024 — conf
FalconProtein: Finetuning Falcon Foundation Model for Protein Engineering.
BIBM
Wenjun Yang, Yiqing Shen, Zehong Wang, Rui Zhao, Qitong Lu, Xinsheng Liu, Yungeng Liu, Mérouane Debbah, Yu Guang Wang, Shir Li Wang
2024 — conf
FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty Quantification.
MedAGI@MICCAI
Yiqing Shen, Xinyuan Shao, Blanca Inigo Romillo, David Dreizin, Mathias Unberath
2024 — conf
FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images.
MICCAI (12)
Yiqing Shen, Jingxing Li, Xinyuan Shao, Blanca Inigo Romillo, Ankush Jindal, David Dreizin, Mathias Unberath
2024 J jnl
FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images.
CoRR
Yiqing Shen, Jingxing Li, Xinyuan Shao, Blanca Inigo Romillo, Ankush Jindal, David Dreizin, Mathias Unberath
2024 — conf
Histology Image Artifact Restoration with Lightweight Transformer Based Diffusion Model.
AIME (2)
Chong Wang, Zhenqi He, Junjun He, Jin Ye, Yiqing Shen
2024 B conf
KnowledgeIE: Unifying Online-Offline Distillation based on Knowledge Inheritance and Evolution.
IJCNN
Yiqing Shen
2024 — conf
LaGDif: Latent Graph Diffusion Model for Efficient Protein Inverse Folding with Self-Ensemble.
BIBM
Taoyu Wu, Yuguang Wang, Yiqing Shen
2024 — conf
Learning to Predict the Optimal Template in Stain Normalization for Histology Image Analysis.
AIME (2)
Shiling Luo, Junxin Feng, Yiqing Shen, Qiongxiong Ma
2024 — conf
M
MICCAI (12)
Yufeng Jiang, Yiqing Shen
2024 J jnl
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing Transformer.
CoRR
Xinyuan Shao, Yiqing Shen, Mathias Unberath
2024 — conf
Promptable Counterfactual Diffusion Model for Unified Brain Tumor Segmentation and Generation with MRIs.
MedAGI@MICCAI
Yiqing Shen, Guannan He, Mathias Unberath
2024 — conf
ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering.
AIME (1)
Yiqing Shen, Outongyi Lv, Houying Zhu, Yu Guang Wang
2024 J jnl
ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering.
CoRR
Yiqing Shen, Outongyi Lv, Houying Zhu, Yu Guang Wang
2024 J jnl
Radiomic feature reliability of amide proton transfer-weighted MR images acquired with compressed sensing at 3 T.
Int. J. Imaging Syst. Technol.
Jingpu Wu, Qianqi Huang, Yiqing Shen, Pengfei Guo, Jinyuan Zhou, Shanshan Jiang
2024 J jnl
RandStainNA++: Enhance Random Stain Augmentation and Normalization Through Foreground and Background Differentiation.
IEEE J. Biomed. Health Informatics
Chong Wang, Shuxin Li, Jing Ke, Chen Zhang, Yiqing Shen
2024 J jnl
SAM-Lightening: A Lightweight Segment Anything Model with Dilated Flash Attention to Achieve 30 times Acceleration.
CoRR
Yanfei Song, Bangzheng Pu, Peng Wang, Hongxu Jiang, Dong Dong, Yongxiang Cao, Yiqing Shen
2024 — conf
SAM-Med3D: Towards General-Purpose Segmentation Models for Volumetric Medical Images.
ECCV Workshops (16)
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
2024 J jnl
Scalable Swin Transformer network for brain tumor segmentation from incomplete MRI modalities.
Artif. Intell. Medicine
Dongsong Zhang, Changjian Wang, Tianhua Chen, Weidao Chen, Yiqing Shen
2024 — conf
Segment Any Nuclei: A Prompt-free Segment Anything Model for Nuclei from Histology Image.
BIBM
Xutao Sun, Junwen Liu, Yonggong Ren, Xiaolu Xu, Yiqing Shen
2024 — conf
TPC-GNN: A Three-Level Hierarchical Graph Neural Network for Microsatellite Instability Prediction from Histopathology Whole Slide Images.
BIBM
Hang Zhang, Xueru Xu, Guoyou Wang, Yiqing Shen
2024 J jnl
Tackling heterogeneity in medical federated learning via aligning vision transformers.
Artif. Intell. Medicine
Erfan Darzi, Yiqing Shen, Yangming Ou, Nanna Maria Sijtsema, Peter M. A. van Ooijen
2024 — conf
TinySAM-Med3D: A Lightweight Segment Anything Model for Volumetric Medical Imaging with Mixture of Experts.
AIME (2)
Tianyuan Song, Guixia Kang, Yiqing Shen
2024 — conf
TotalCT-SAM: A Whole-Body CT Segment Anything Model with Memorizing Transformer.
ICPR (12)
Zhiwei Zhang, Yiqing Shen
2024 — conf
TourSynbio-Search: A Large Language Model Driven Agent Framework for Unified Search Method for Protein Engineering.
BIBM
Yungeng Liu, Zan Chen, Yu Guang Wang, Yiqing Shen
2024 — conf
TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering.
BIBM
Yiqing Shen, Zan Chen, Michail Mamalakis, Yungeng Liu, Tianbin Li, Yanzhou Su, Junjun He, Pietro Liò, Yu Guang Wang
2024 J jnl
TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering.
CoRR
Yiqing Shen, Zan Chen, Michail Mamalakis, Yungeng Liu, Tianbin Li, Yanzhou Su, Junjun He, Pietro Liò, Yu Guang Wang
2024 J jnl
UniAutoML: A Human-Centered Framework for Unified Discriminative and Generative AutoML with Large Language Models.
CoRR
Jiayi Guo, Zan Chen, Yingrui Ji, Liyun Zhang, Daqin Luo, Zhigang Li, Yiqing Shen
2024 — conf
Validation of an LLM-based Multi-Agent Framework for Protein Engineering in Dry Lab and Wet Lab.
BIBM
Zan Chen, Yungeng Liu, Yu Guang Wang, Yiqing Shen
2024 — conf
Virtual Doctor: The role, responsibilities, and counterparts of the general medical AI.
BIBM
Eduard Lloret Carbonell, Jiaxuan Huang, Yiqing Shen, Jing Ke
2023 J jnl
A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN.
IEEE Trans. Medical Imaging
Yiqing Shen, Arcot Sowmya, Yulin Luo, Xiaoyao Liang, Dinggang Shen, Jing Ke
2023 — conf
A General Computationally-Efficient 3D Reconstruction Pipeline for Multiple Images with Point Clouds.
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
Qingyang Wu, Yiqing Shen, Jing Ke
2023 J jnl
A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification.
IEEE Trans. Medical Imaging
Yonghao Li, Yiqing Shen, Jiadong Zhang, Shujie Song, Zhenhui Li, Jing Ke, Dinggang Shen
2023 — conf
An Anti-biased TBSRTC-Category Aware Nuclei Segmentation Framework with a Multi-label Thyroid Cytology Benchmark.
MICCAI (6)
Junchao Zhu, Yiqing Shen, Haolin Zhang, Jing Ke
2023 J jnl
Artifact Detection and Restoration in Histology Images With Stain-Style and Structural Preservation.
IEEE Trans. Medical Imaging
Jing Ke, Kai Liu, Yuxiang Sun, Yuying Xue, Jiaxuan Huang, Yizhou Lu, Jun Dai, Yaobing Chen, Xiaodan Han, Yiqing Shen, Dinggang Shen
2023 — conf
Artifact Restoration in Histology Images with Diffusion Probabilistic Models.
MICCAI (6)
Zhenqi He, Junjun He, Jin Ye, Yiqing Shen
2023 J jnl
Artifact Restoration in Histology Images with Diffusion Probabilistic Models.
CoRR
Zhenqi He, Junjun He, Jin Ye, Yiqing Shen
2023 — conf
COVID-19 Pneumonia Classification with Transformer from Incomplete Modalities.
MICCAI (5)
Eduard Lloret Carbonell, Yiqing Shen, Xin Yang, Jing Ke
2023 J jnl
ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets.
Medical Image Anal.
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
2023 — conf
Evaluating STU-Net for Brain Tumor Segmentation.
BraTS/CrossMoDA@MICCAI
Ziyan Huang, Jin Ye, Haoyu Wang, Zhongying Deng, Yanzhou Su, Tianbin Li, Junlong Cheng, Jianpin Chen, Sizheng Guo, Yiqing Shen, Junjun He
2023 A* conf
Graph Denoising Diffusion for Inverse Protein Folding.
NeurIPS
Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Lió, Yuguang Wang
2023 J jnl
Graph Denoising Diffusion for Inverse Protein Folding.
CoRR
Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Liò, Yu Guang Wang
2023 — conf
HistDeblur: A Pyramid Trustworthy Framework for Blurry Histologic Artifacts Quality Control.
BIBM
Yuxiang Sun, Kai Liu, Yiqing Shen, Xiaodan Han, Jing Ke
2023 — conf
How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images.
BIBM
Yiqing Shen, Bingxin Zhou, Xinye Xiong, Ruitian Gao, Yu Guang Wang
2023 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
M. Emre Celebi, Md Sirajus Salekin, Hyunwoo J. Kim, Shadi Albarqouni, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett A. Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas, Xiaoxiao Li, Chen Qin, Nicola Rieke, Holger Roth, Daguang Xu
2023 J jnl
Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images.
Comput. Methods Programs Biomed.
Jing Ke, Yiqing Shen, Yizhou Lu, Yi Guo, Dinggang Shen
2023 Misc conf
Mixed Sample Augmentation for Online Distillation.
ICASSP
Yiqing Shen, Liwu Xu, Yuzhe Yang, Yaqian Li, Yandong Guo
2023 — conf
MoViT: Memorizing Vision Transformers for Medical Image Analysis.
MLMI@MICCAI (2)
Yiqing Shen, Pengfei Guo, Jingpu Wu, Qianqi Huang, Nhat Le, Jinyuan Zhou, Shanshan Jiang, Mathias Unberath
2023 J jnl
MoViT: Memorizing Vision Transformers for Medical Image Analysis.
CoRR
Yiqing Shen, Pengfei Guo, Jingpu Wu, Qianqi Huang, Nhat Le, Jinyuan Zhou, Shanshan Jiang, Mathias Unberath
2023 — conf
Revisiting Feature Propagation and Aggregation in Polyp Segmentation.
MICCAI (5)
Yanzhou Su, Yiqing Shen, Jin Ye, Junjun He, Jian Cheng
2023 J jnl
SAM-Med3D.
CoRR
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
2023 J jnl
SCRNet: a Retinex Structure-based Low-light Enhancement Model Guided by Spatial Consistency.
CoRR
Miao Zhang, Yiqing Shen, Shenghui Zhong
2023 — conf
Stain Normalization and Augmentation in Frequency Space for Histology Analysis.
BIBM
Yingfan Li, Huaiji Zhou, Na Liu, Yiqing Shen
2023 — conf
StainDiff: Transfer Stain Styles of Histology Images with Denoising Diffusion Probabilistic Models and Self-ensemble.
MICCAI (6)
Yiqing Shen, Jing Ke
2023 J jnl
Tackling Heterogeneity in Medical Federated learning via Vision Transformers.
CoRR
Erfan Darzi, Yiqing Shen, Nanna Maria Sijtsema, Peter M. A. van Ooijen
2023 J jnl
Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey.
CoRR
Xu Liu, Tong Zhou, Yuanxin Wang, Yuping Wang, Qinjingwen Cao, Weizhi Du, Yonghuan Yang, Junjun He, Yu Qiao, Yiqing Shen
2023 J jnl
TransNuSeg: A Lightweight Multi-Task Transformer for Nuclei Segmentation.
CoRR
Zhenqi He, Mathias Unberath, Jing Ke, Yiqing Shen
2023 — conf
TransNuSeg: A Lightweight Multi-task Transformer for Nuclei Segmentation.
MICCAI (4)
Zhenqi He, Mathias Unberath, Jing Ke, Yiqing Shen
2022 A* conf
CD
CVPR
Yiqing Shen, Yuyin Zhou, Lequan Yu
2022 J jnl
CD
CoRR
Yiqing Shen, Yuyin Zhou, Lequan Yu
2022 — conf
CellSegNet: an adaptive multi-resolution hybrid network for cell segmentation.
Digital and Computational Pathology
Junwei Deng, Yiqing Shen, Yi Guo, Jing Ke
2022 — conf
Federated Learning for Chronic Obstructive Pulmonary Disease Classification with Partial Personalized Attention Mechanism.
BIBM
Yiqing Shen, Baiyun Liu, Ruize Yu, Yudong Wang, Shaokang Wang, Jiangfen Wu, Weidao Chen
2022 J jnl
Federated Learning for Chronic Obstructive Pulmonary Disease Classification with Partial Personalized Attention Mechanism.
CoRR
Yiqing Shen, Baiyun Liu, Ruize Yu, Yudong Wang, Shaokang Wang, Jiangfen Wu, Weidao Chen
2022 J jnl
How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images.
CoRR
Yiqing Shen, Bingxin Zhou, Xinye Xiong, Ruitian Gao, Yu Guang Wang
2022 J jnl
Identify Representative Samples by Conditional Random Field of Cancer Histology Images.
IEEE Trans. Medical Imaging
Yiqing Shen, Dinggang Shen, Jing Ke
2022 — conf
MFA-DSLNet: Multi-scale Fusion Attention Mechanism with Dual-threshold Self-paced Learning for Pediatric Pneumonia Diagnosis.
BIBM
Yibo Feng, Yudong Wang, Ruize Yu, Yiqing Shen, Shaokang Wang, Jiangfen Wu, Weidao Chen
2022 J jnl
Online Distillation with Mixed Sample Augmentation.
CoRR
Yiqing Shen, Liwu Xu, Yuzhe Yang, Yaqian Li, Yandong Guo
2022 — conf
Personalized stain style transfer layers for distributed histology classification.
Digital and Computational Pathology
Yiqing Shen
2022 — conf
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization.
MICCAI (2)
Yiqing Shen, Yulin Luo, Dinggang Shen, Jing Ke
2022 J jnl
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization.
CoRR
Yiqing Shen, Yulin Luo, Dinggang Shen, Jing Ke
2022 J jnl
Sampling Based Tumor Recognition in Whole-Slide Histology Image With Deep Learning Approaches.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yiqing Shen, Jing Ke
2022 A* conf
Self-Distillation from the Last Mini-Batch for Consistency Regularization.
CVPR
Yiqing Shen, Liwu Xu, Yuzhe Yang, Yaqian Li, Yandong Guo
2022 J jnl
Self-Distillation from the Last Mini-Batch for Consistency Regularization.
CoRR
Yiqing Shen, Liwu Xu, Yuzhe Yang, Yaqian Li, Yandong Guo
2021 J jnl
A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image.
CoRR
Yufei Wang, Yiqing Shen, Meng Yuan, Jing Xu, Bin Yang, Chi Liu, Wenjia Cai, Weijing Cheng, Wei Wang
2021 — conf
CA
MICCAI (8)
Jinghan Huang, Yiqing Shen, Dinggang Shen, Jing Ke
2021 — conf
Cluster Image Patches with Multiple Mutual Information in Unlabelled Whole-Slide Image.
BIBM
Yiqing Shen, Yizhou Lu, Yulin Luo, Jing Ke
2021 — conf
Contrastive Learning Based Stain Normalization Across Multiple Tumor in Histopathology.
MICCAI (8)
Jing Ke, Yiqing Shen, Xiaoyao Liang, Dinggang Shen
2021 — conf
Multiple-datasets and multiple-label based color normalization in histopathology with cGAN.
Digital Pathology
Jing Ke, Yiqing Shen, Xinyu Jiang, Yi Guo, Yaobing Chen, Xiaoyao Liang
2021 — conf
Representative Region Based Active Learning For Histological Classification Of Colorectal Cancer.
ISBI
Yiqing Shen, Jing Ke
2021 — conf
Style Normalization In Histology With Federated Learning.
ISBI
Jing Ke, Yiqing Shen, Yizhou Lu
2021 B conf
Su-Sampling Based Active Learning For Large-Scale Histopathology Image.
ICIP
Yiqing Shen, Jing Ke
2020 — conf
A Deformable CRF Model for Histopathology Whole-Slide Image Classification.
MICCAI (5)
Yiqing Shen, Jing Ke
2020 B conf
A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image.
AIME
Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Naifeng Jing, Xiaoyao Liang
2020 — conf
A Prediction Model of Microsatellite Status from Histology Images.
ICBET
Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Xiaoyao Liang
2020 B conf
Fast Tumor Detector in Whole-Slide Image With Dynamic Programing Based Monte Carlo Sampling.
ICIP
Jing Ke, Yiqing Shen, Yi Guo, Xiaoyao Liang
2020 — conf
Identifying patch-level MSI from histological images of Colorectal Cancer by a Knowledge Distillation Model.
BIBM
Jing Ke, Yiqing Shen, Jason D. Wright, Naifeng Jing, Xiaoyao Liang, Dinggang Shen