Lequan Yu

270 papers A* 28A 2Journal 183Unranked 56
YearRankTypeTitle / Venue / Authors
2026 J jnl
AD-CARE: A Guideline-grounded, Modality-agnostic LLM Agent for Real-world Alzheimer's Disease Diagnosis with Multi-cohort Assessment, Fairness Analysis, and Reader Study.
CoRR
Wenlong Hou, Sheng Bi, Guangqian Yang, Lihao Liu, Ye Du, Hanxiao Xue, Juncheng Wang, Yuxiang Feng, Yue Xun, Nanxi Yu, Ning Mao, Mo Yang, Eva Yi Wah Cheung, Ling Long, Kay Chen Tan, Lequan Yu, Xiaomeng Ma, Shaozhen Yan, Shujun Wang
2026 J jnl
AssetFormer: Modular 3D Assets Generation with Autoregressive Transformer.
CoRR
Lingting Zhu, Shengju Qian, Haidi Fan, Jiayu Dong, Zhenchao Jin, Siwei Zhou, Gen Dong, Xin Wang, Lequan Yu
2026 A* conf
Augmenting Clinical Decision-Making with an Interactive and Interpretable AI Copilot: A Real-World User Study with Clinicians in Nephrology and Obstetrics.
CHI
Yinghao Zhu, Dehao Sui, Zixiang Wang, Xuning Hu, Lei Gu, Yifan Qi, Tianchen Wu, Ling Wang, Yuan Wei, Wen Tang, Zhihan Cui, Yasha Wang, Lequan Yu, Ewen M. Harrison, Junyi Gao, Liantao Ma
2026 J jnl
Augmenting Clinical Decision-Making with an Interactive and Interpretable AI Copilot: A Real-World User Study with Clinicians in Nephrology and Obstetrics.
CoRR
Yinghao Zhu, Dehao Sui, Zixiang Wang, Xuning Hu, Lei Gu, Yifan Qi, Tianchen Wu, Ling Wang, Yuan Wei, Wen Tang, Zhihan Cui, Yasha Wang, Lequan Yu, Ewen M. Harrison, Junyi Gao, Liantao Ma
2026 J jnl
CFCML: A Coarse-to-Fine Crossmodal Learning Framework For Disease Diagnosis Using Multimodal Images and Tabular Data.
CoRR
Tianling Liu, Hongying Liu, Fanhua Shang, Lequan Yu, Tong Han, Liang Wan
2026 J jnl
ExperienceWeaver: Optimizing Small-sample Experience Learning for LLM-based Clinical Text Improvement.
CoRR
Ziyan Xiao, Yinghao Zhu, Liang Peng, Lequan Yu
2026 J jnl
FADFNet: A fine-tunable and adaptive decomposition-fusion network for cross-dataset low-dose CT and low-dose PET image reconstruction.
Medical Image Anal.
Fangji Qian, Weitao Wang, Yanyan Huang, Meng Niu, Yuanxue Gao, Zihao Zhao, Kuangyu Shi, Lequan Yu, Yu Fu, Cheng Zhuo
2026 A* conf
FDP: A Frequency-Decomposition Preprocessing Pipeline for Unsupervised Anomaly Detection in Brain MRI.
AAAI
Hao Li, Zhenfeng Zhuang, Jingyu Lin, Yu Liu, Yifei Chen, Qiong Peng, Lequan Yu, Liansheng Wang
2026 J jnl
FM 2 : Fusing multiple foundation models for pathology image analysis via disentangled consensus-divergence representation.
Inf. Fusion
Ziqi Yu, Shengjie Zhang, Nidan Qiao, Yao Zhao, Lequan Yu, Tingying Peng, Xiao-Yong Zhang
2026 J jnl
Generative Enhancement for 3D Medical Images.
Int. J. Comput. Vis.
Lingting Zhu, Noel Codella, Dongdong Chen, Zhenchao Jin, Lu Yuan, Lequan Yu
2026 J jnl
MCS-Stain: Boosting FFPE-to-HE Virtual Staining With Multiple Cell Semantics.
IEEE Trans. Medical Imaging
Yihuang Hu, Zhicheng Du, Weiping Lin, Shurong Yang, Lequan Yu, Guojun Zhang, Liansheng Wang
2026 J jnl
Multi-contrast low-field MRI acceleration with k-space progressive learning and image-space hybrid attention fusion.
Medical Image Anal.
Xiaohan Xing, Qi Chen, Lequan Yu, Liang Qiu, Lingting Zhu, Lei Xing, Lianli Liu
2026 A* conf
PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning.
AAAI
Yushi Feng, Junye Du, Yingying Hong, Qifan Wang, Lequan Yu
2026 J jnl
Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development.
CoRR
Zhongying Deng, Cheng Tang, Ziyan Huang, Jiashi Lin, Ying Chen, Junzhi Ning, Chenglong Ma, Jiyao Liu, Wei Li, Yinghao Zhu, Shujian Gao, Yanyan Huang, Sibo Ju, Yanzhou Su, Pengcheng Chen, Wenhao Tang, Tianbin Li, Haoyu Wang, Yuanfeng Ji, Hui Sun, Shaobo Min, Liang Peng, Feilong Tang, Haochen Xue, Rulin Zhou, Chaoyang Zhang, Wenjie Li, Shaohao Rui, Weijie Ma, Xingyue Zhao, Yibin Wang, Kun Yuan, Zhaohui Lu, Shujun Wang, Jinjie Wei, Lihao Liu, Dingkang Yang, Lin Wang, Yulong Li, Haolin Yang, Yiqing Shen, Lequan Yu, Xiaowei Hu, Yun Gu, Yicheng Wu, Benyou Wang, Minghui Zhang, Angelica I. Aviles-Rivero, Qi Gao, Hongming Shan, Xiaoyu Ren, Fang Yan, Hongyu Zhou, Haodong Duan, Maosong Cao, Shanshan Wang, Bin Fu, Xiaomeng Li, Zhi Hou, Chunfeng Song, Lei Bai, Yuan Cheng, Yuandong Pu, Xiang Li, Wenhai Wang, Hao Chen, Jiaxin Zhuang, Songyang Zhang, Huiguang He, Mengzhang Li, Bohan Zhuang, Zhian Bai, Rongshan Yu, Liansheng Wang, Yukun Zhou, Xiaosong Wang, Xin Guo, Guanbin Li, Xiangru Lin, Dakai Jin, Mianxin Liu, Wenlong Zhang, Qi Qin, Conghui He, Yuqiang Li, Ye Luo, Nanqing Dong, Jie Xu, Wenqi Shao, Bo Zhang, Qiujuan Yan, Yihao Liu, Jun Ma, Zhi Lu, Yuewen Cao, Zongwei Zhou, Jianming Liang, Shixiang Tang, Qi Duan, et al.
2026 J jnl
SIB-MIL: Sparsity-Induced Bayesian Neural Network for Robust Multiple Instance Learning on Whole Slide Image Analysis.
IEEE Trans. Medical Imaging
Yihang Chen, Tsai Hor Chan, Jianning Chen, Li Liang, Guosheng Yin, Lequan Yu
2026 J jnl
Tackling missing modalities with memory-efficient modality-complementary prompt learning for robust brain tumor segmentation.
Expert Syst. Appl.
Yu Zhu, Kang Li, Lequan Yu, Pheng-Ann Heng
2025 — conf
A Dynamic Agent Framework for Large Language Model Reasoning for Medical and Visual Question Answering.
ICCVW
Ziyan Xiao, Ruiyang Zhang, Yushi Feng, Lingting Zhu, Liang Peng, Lequan Yu
2025 J jnl
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers.
CoRR
Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Cheng Tang, Huihui Xu, Ziyang Chen, Ziyan Huang, Jiyao Liu, Pengfei Jiang, Yizhou Wang, Chen Tang, Jianyu Wu, Yuchen Ren, Siyuan Yan, Zhonghua Wang, Zhongxing Xu, Shiyan Su, Shangquan Sun, Runkai Zhao, Zhisheng Zhang, Yu Liu, Fudi Wang, Yuanfeng Ji, Yanzhou Su, Hongming Shan, Chun-Mei Feng, Jiahao Xu, Jiangtao Yan, Wenhao Tang, Diping Song, Lihao Liu, Yanyan Huang, Lequan Yu, Bin Fu, Shujun Wang, Xiaomeng Li, Xiaowei Hu, Yun Gu, Ben Fei, Zhongying Deng, Benyou Wang, Yuewen Cao, Minjie Shen, Haodong Duan, Jie Xu, Yirong Chen, Fang Yan, Hongxia Hao, Jielan Li, Jiajun Du, Yanbo Wang, Imran Razzak, Chi Zhang, Lijun Wu, Conghui He, Zhaohui Lu, Jinhai Huang, Yihao Liu, Fenghua Ling, Yuqiang Li, Aoran Wang, Qihao Zheng, Nanqing Dong, Tianfan Fu, Dongzhan Zhou, Yan Lu, Wenlong Zhang, Jin Ye, Jianfei Cai, Wanli Ouyang, Yu Qiao, Zongyuan Ge, Shixiang Tang, Junjun He
2025 J jnl
Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process.
CoRR
Tsai Hor Chan, Feng Wu, Yihang Chen, Guosheng Yin, Lequan Yu
2025 — conf
AssetDropper: Asset Extraction via Diffusion Models with Reward-Driven Optimization.
SIGGRAPH (Conference Paper Track)
Lanjiong Li, Guanhua Zhao, Lingting Zhu, Zeyu Cai, Lequan Yu, Jian Zhang, Zeyu Wang
2025 J jnl
AssetDropper: Asset Extraction via Diffusion Models with Reward-Driven Optimization.
CoRR
Lanjiong Li, Guanhua Zhao, Lingting Zhu, Zeyu Cai, Lequan Yu, Jian Zhang, Zeyu Wang
2025 — conf
Bridging Radiological Images and Factors with Vision-Language Model for Accurate Diagnosis of Proliferative Hepatocellular Carcinoma.
MICCAI (6)
Yanyan Huang, Wanli Zhang, Peixiang Huang, Yu Fu, Ruimeng Yang, Lequan Yu
2025 J jnl
C
CoRR
Min Cen, Zhenfeng Zhuang, Yuzhe Zhang, Min Zeng, Baptiste Magnier, Lequan Yu, Hong Zhang, Liansheng Wang
2025 — conf
CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis.
ACL (Findings)
Fuying Wang, Feng Wu, Yihan Tang, Lequan Yu
2025 J jnl
Clip-Driven Universal Model for Multi-Material Decomposition in Dual-Energy CT.
IEEE Trans. Computational Imaging
Xianghong Wang, Jiajun Xiang, Aihua Mao, Jiayi Xie, Peng Jin, Mingchao Ding, Yixuan Yuan, Yanye Lu, Lequan Yu, Hongmin Cai, Baiying Lei, Tianye Niu
2025 J jnl
Completed Feature Disentanglement Learning for Multimodal MRIs Analysis.
IEEE J. Biomed. Health Informatics
Tianling Liu, Hongying Liu, Fanhua Shang, Lequan Yu, Tong Han, Liang Wan
2025 A* conf
Cross-Modal Alignment via Variational Copula Modelling.
ICML
Feng Wu, Tsai Hor Chan, Fuying Wang, Guosheng Yin, Lequan Yu
2025 J jnl
Cross-Modal Alignment via Variational Copula Modelling.
CoRR
Feng Wu, Tsai Hor Chan, Fuying Wang, Guosheng Yin, Lequan Yu
2025 A* conf
DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interaction.
IJCAI
Jian Chen, Xiaoru Dong, Wei Wang, Shaorui Zhou, Lequan Yu, Xiping Hu
2025 J jnl
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs.
CoRR
Yushi Feng, Tsai Hor Chan, Guosheng Yin, Lequan Yu
2025 J jnl
Democratizing large language model-based graph data augmentation via latent knowledge graphs.
Neural Networks
Yushi Feng, Tsai Hor Chan, Guosheng Yin, Lequan Yu
2025 J jnl
Diff-UNet: A diffusion embedded network for robust 3D medical image segmentation.
Medical Image Anal.
Zhaohu Xing, Liang Wan, Huazhu Fu, Guang Yang, Yijun Yang, Lequan Yu, Baiying Lei, Lei Zhu
2025 J jnl
Disentangled Multi-modal Learning of Histology and Transcriptomics for Cancer Characterization.
CoRR
Yupei Zhang, Xiaofei Wang, Anran Liu, Lequan Yu, Chao Li
2025 A* conf
Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning.
AAAI
Zhenfeng Zhuang, Min Cen, Yanfeng Li, Fangyu Zhou, Lequan Yu, Baptiste Magnier, Liansheng Wang
2025 J jnl
FDP: A Frequency-Decomposition Preprocessing Pipeline for Unsupervised Anomaly Detection in Brain MRI.
CoRR
Hao Li, Zhenfeng Zhuang, Jingyu Lin, Yu Liu, Yifei Chen, Qiong Peng, Lequan Yu, Liansheng Wang
2025 J jnl
Feature Preserving Shrinkage on Bayesian Neural Networks Via the R2D2 Prior.
IEEE Trans. Pattern Anal. Mach. Intell.
Tsai Hor Chan, Dora Yan Zhang, Guosheng Yin, Lequan Yu
2025 J jnl
Feature Preserving Shrinkage on Bayesian Neural Networks via the R2D2 Prior.
CoRR
Tsai Hor Chan, Dora Yan Zhang, Guosheng Yin, Lequan Yu
2025 A* conf
From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics.
ICLR
Qinshuo Liu, Weiqin Zhao, Wei Huang, Yanwen Fang, Lequan Yu, Guodong Li
2025 J jnl
From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics.
CoRR
Qinshuo Liu, Weiqin Zhao, Wei Huang, Yanwen Fang, Lequan Yu, Guodong Li
2025 A* conf
From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining.
ICML
Fuying Wang, Jiacheng Xu, Lequan Yu
2025 J jnl
From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining.
CoRR
Fuying Wang, Jiacheng Xu, Lequan Yu
2025 J jnl
HealthFlow: A Self-Evolving AI Agent with Meta Planning for Autonomous Healthcare Research.
CoRR
Yinghao Zhu, Yifan Qi, Zixiang Wang, Lei Gu, Dehao Sui, Haoran Hu, Xichen Zhang, Ziyi He, Liantao Ma, Lequan Yu
2025 — conf
HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis.
MICCAI (5)
Peixiang Huang, Yanyan Huang, Weiqin Zhao, Junjun He, Lequan Yu
2025 J jnl
HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis.
CoRR
Peixiang Huang, Yanyan Huang, Weiqin Zhao, Junjun He, Lequan Yu
2025 J jnl
Interpretable Multimodal Cancer Prototyping with Whole Slide Images and Incompletely Paired Genomics.
CoRR
Yupei Zhang, Yating Huang, Wanming Hu, Lequan Yu, Hujun Yin, Chao Li
2025 A* conf
Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting.
AAAI
Lingting Zhu, Guying Lin, Jinnan Chen, Xinjie Zhang, Zhenchao Jin, Zhao Wang, Lequan Yu
2025 J jnl
Large Images are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting.
CoRR
Lingting Zhu, Guying Lin, Jinnan Chen, Xinjie Zhang, Zhenchao Jin, Zhao Wang, Lequan Yu
2025 J jnl
Large Material Gaussian Model for Relightable 3D Generation.
CoRR
Jingrui Ye, Lingting Zhu, Runze Zhang, Zeyu Hu, Yingda Yin, Lanjiong Li, Lequan Yu, Qingmin Liao
2025 J jnl
MedAgentAudit: Diagnosing and Quantifying Collaborative Failure Modes in Medical Multi-Agent Systems.
CoRR
Lei Gu, Yinghao Zhu, Haoran Sang, Zixiang Wang, Dehao Sui, Wen Tang, Ewen M. Harrison, Junyi Gao, Lequan Yu, Liantao Ma
2025 J jnl
MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks.
CoRR
Yinghao Zhu, Ziyi He, Haoran Hu, Xiaochen Zheng, Xichen Zhang, Zixiang Wang, Junyi Gao, Liantao Ma, Lequan Yu
2025 J jnl
MedMMV: A Controllable Multimodal Multi-Agent Framework for Reliable and Verifiable Clinical Reasoning.
CoRR
Hongjun Liu, Yinghao Zhu, Yuhui Wang, Yitao Long, Zeyu Lai, Lequan Yu, Chen Zhao
2025 — conf
MoST-IG: Morphology-Guided Spatial Transcriptomics Integration via Visual-Genomic Graph Optimal Transport.
MICCAI (12)
Liting Yu, Tao Ma, Weiqin Zhao, Zhuo Liang, Lequan Yu
2025 J jnl
Modality-Aware Distillation Network for Microvascular Invasion Prediction of Hepatocellar Carcinoma From MRI Images.
IEEE Trans. Biomed. Eng.
Yinghao Zhang, Hong Liu, Lei Zhu, Huanhuan Chong, Huazhu Fu, Lequan Yu, Ping Li, Jing Qin, David Dagan Feng, Liansheng Wang
2025 J jnl
MuMA: 3D PBR Texturing via Multi-Channel Multi-View Generation and Agentic Post-Processing.
CoRR
Lingting Zhu, Jingrui Ye, Runze Zhang, Zeyu Hu, Yingda Yin, Lanjiong Li, Jinnan Chen, Shengju Qian, Xin Wang, Qingmin Liao, Lequan Yu
2025 J jnl
Multi-Sensor Learning Enables Information Transfer Across Different Sensory Data and Augments Multi-Modality Imaging.
IEEE Trans. Pattern Anal. Mach. Intell.
Lingting Zhu, Yizheng Chen, Lianli Liu, Lei Xing, Lequan Yu
2025 J jnl
PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning.
CoRR
Yushi Feng, Junye Du, Yingying Hong, Qifan Wang, Lequan Yu
2025 J jnl
Personalizing Federated Instrument Segmentation With Visual Trait Priors in Robotic Surgery.
IEEE Trans. Biomed. Eng.
Jialang Xu, Jiacheng Wang, Lequan Yu, Danail Stoyanov, Yueming Jin, Evangelos B. Mazomenos
2025 J jnl
Proxy-Tuning: Tailoring Multimodal Autoregressive Models for Subject-Driven Image Generation.
CoRR
Yi Wu, Lingting Zhu, Lei Liu, Wandi Qiao, Ziqiang Li, Lequan Yu, Bin Li
2025 J jnl
Scaling Chest X-Ray Foundation Models From Mixed Supervisions for Dense Prediction.
IEEE Trans. Medical Imaging
Fuying Wang, Lequan Yu
2025 J jnl
StyleAR: Customizing Multimodal Autoregressive Model for Style-Aligned Text-to-Image Generation.
CoRR
Yi Wu, Lingting Zhu, Shengju Qian, Lei Liu, Wandi Qiao, Lequan Yu, Bin Li
2025 J jnl
Swin-UMamba†: Adapting Mamba-Based Vision Foundation Models for Medical Image Segmentation.
IEEE Trans. Medical Imaging
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Lequan Yu, Yong Liang, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2025 J jnl
TAD-Graph: Enhancing Whole Slide Image Analysis via Task-Aware Subgraph Disentanglement.
IEEE Trans. Medical Imaging
Fuying Wang, Jiayi Xin, Weiqin Zhao, Yuming Jiang, Maximus C. F. Yeung, Liansheng Wang, Lequan Yu
2025 J jnl
Unleash the Power of State Space Model for Whole Slide Image With Local Aware Scanning and Importance Resampling.
IEEE Trans. Medical Imaging
Yanyan Huang, Weiqin Zhao, Yu Fu, Lingting Zhu, Lequan Yu
2025 J jnl
Variational Polya Tree.
CoRR
Lu Xu, Tsai Hor Chan, Kwok Fai Lam, Lequan Yu, Guosheng Yin
2025 J jnl
Vivim: A Video Vision Mamba for Ultrasound Video Segmentation.
IEEE Trans. Circuits Syst. Video Technol.
Yijun Yang, Zhaohu Xing, Lequan Yu, Huazhu Fu, Chunwang Huang, Lei Zhu
2024 J jnl
A Dual Enrichment Synergistic Strategy to Handle Data Heterogeneity for Domain Incremental Cardiac Segmentation.
IEEE Trans. Medical Imaging
Kang Li, Yu Zhu, Lequan Yu, Pheng-Ann Heng
2024 — conf
Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring.
MICCAI (4)
Qiong Peng, Weiping Lin, Yihuang Hu, Ailisi Bao, Chenyu Lian, Weiwei Wei, Meng Yue, Jingxin Liu, Lequan Yu, Liansheng Wang
2024 J jnl
Aligning Knowledge Concepts to Whole Slide Images for Precise Histopathology Image Analysis.
CoRR
Weiqin Zhao, Ziyu Guo, Yinshuang Fan, Yuming Jiang, Maximus C. F. Yeung, Lequan Yu
2024 J jnl
Aligning knowledge concepts to whole slide images for precise histopathology image analysis.
npj Digit. Medicine
Weiqin Zhao, Ziyu Guo, Yinshuang Fan, Yuming Jiang, Maximus C. F. Yeung, Lequan Yu
2024 A* conf
Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference.
AAAI
Weiping Lin, Zhenfeng Zhuang, Lequan Yu, Liansheng Wang
2024 J jnl
CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis.
CoRR
Fuying Wang, Feng Wu, Yihan Tang, Lequan Yu
2024 J jnl
Completed Feature Disentanglement Learning for Multimodal MRIs Analysis.
CoRR
Tianling Liu, Hongying Liu, Fanhua Shang, Lequan Yu, Tong Han, Liang Wan
2024 J jnl
DER-GAN: Dual-Energy Recovery GAN for Conebeam CT.
IEEE Trans. Computational Imaging
Jiajun Xiang, Aihua Mao, Jiayi Xie, Hongbin Han, Xianghong Wang, Peng Jin, Jichen Du, Mingchao Ding, Lequan Yu, Tianye Niu
2024 J jnl
Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting.
CoRR
Lingting Zhu, Zhao Wang, Zhenchao Jin, Guying Lin, Lequan Yu
2024 J jnl
Dynamic Entity-Masked Graph Diffusion Model for histopathological image Representation Learning.
CoRR
Zhenfeng Zhuang, Min Cen, Yanfeng Li, Fangyu Zhou, Lequan Yu, Baptiste Magnier, Liansheng Wang
2024 — conf
EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting.
ISIC/iMIMIC/EARTH/DeCaF@MICCAI
Lingting Zhu, Zhao Wang, Jiahao Cui, Zhenchao Jin, Guying Lin, Lequan Yu
2024 J jnl
FetusMapV2: Enhanced fetal pose estimation in 3D ultrasound.
Medical Image Anal.
Chaoyu Chen, Xin Yang, Yuhao Huang, Wenlong Shi, Yan Cao, Mingyuan Luo, Xindi Hu, Lei Zhu, Lequan Yu, Kejuan Yue, Yuanji Zhang, Yi Xiong, Dong Ni, Weijun Huang
2024 A* conf
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement.
NeurIPS
Yanyan Huang, Weiqin Zhao, Yihang Chen, Yu Fu, Lequan Yu
2024 J jnl
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement.
CoRR
Yanyan Huang, Weiqin Zhao, Yihang Chen, Yu Fu, Lequan Yu
2024 — conf
GAM-GCN: Decomposing Graph Convolutional Networks via Generalized Additive Models.
ICKG
Chen Liu, Lequan Yu, Kai Han, Guosheng Yin
2024 J jnl
Generative Enhancement for 3D Medical Images.
CoRR
Lingting Zhu, Noel Codella, Dongdong Chen, Zhenchao Jin, Lu Yuan, Lequan Yu
2024 — conf
HERGen: Elevating Radiology Report Generation with Longitudinal Data.
ECCV (55)
Fuying Wang, Shenghui Du, Lequan Yu
2024 J jnl
HERGen: Elevating Radiology Report Generation with Longitudinal Data.
CoRR
Fuying Wang, Shenghui Du, Lequan Yu
2024 J jnl
Hybrid Masked Image Modeling for 3D Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Zhaohu Xing, Lei Zhu, Lequan Yu, Zhiheng Xing, Liang Wan
2024 A* conf
L2B: Learning to Bootstrap Robust Models for Combating Label Noise.
CVPR
Yuyin Zhou, Xianhang Li, Fengze Liu, Qingyue Wei, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing
2024 — conf
Low-to-High Frequency Progressive K-Space Learning for MRI Reconstruction.
MLMI@MICCAI (1)
Xiaohan Xing, Liang Qiu, Lequan Yu, Lingting Zhu, Lei Xing, Lianli Liu
2024 J jnl
MPGAN: Multi Pareto Generative Adversarial Network for the denoising and quantitative analysis of low-dose PET images of human brain.
Medical Image Anal.
Yu Fu, Shunjie Dong, Yanyan Huang, Meng Niu, Chao Ni, Lequan Yu, Kuangyu Shi, Zhijun Yao, Cheng Zhuo
2024 A* conf
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification.
AAAI
Yu Zhu, Kang Li, Lequan Yu, Pheng-Ann Heng
2024 J jnl
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification.
CoRR
Yu Zhu, Kang Li, Lequan Yu, Pheng-Ann Heng
2024 J jnl
Multi-sensor Learning Enables Information Transfer across Different Sensory Data and Augments Multi-modality Imaging.
CoRR
Lingting Zhu, Yizheng Chen, Lianli Liu, Lei Xing, Lequan Yu
2024 J jnl
Multi-task Heterogeneous Graph Learning on Electronic Health Records.
CoRR
Tsai Hor Chan, Guosheng Yin, Kyongtae Bae, Lequan Yu
2024 J jnl
Multi-task heterogeneous graph learning on electronic health records.
Neural Networks
Tsai Hor Chan, Guosheng Yin, Kyongtae Bae, Lequan Yu
2024 — conf
ORCGT: Ollivier-Ricci Curvature-Based Graph Model for Lung STAS Prediction.
MICCAI (5)
Min Cen, Zheng Wang, Zhenfeng Zhuang, Hong Zhang, Dan Su, Zhen Bao, Weiwei Wei, Baptiste Magnier, Lequan Yu, Liansheng Wang
2024 J jnl
Personalizing Federated Instrument Segmentation with Visual Trait Priors in Robotic Surgery.
CoRR
Jialang Xu, Jiacheng Wang, Lequan Yu, Danail Stoyanov, Yueming Jin, Evangelos B. Mazomenos
2024 J jnl
RECIST-Induced Reliable Learning: Geometry-Driven Label Propagation for Universal Lesion Segmentation.
IEEE Trans. Medical Imaging
Lianyu Zhou, Lequan Yu, Liansheng Wang
2024 — conf
Relabeling Minimal Training Subset to Flip a Prediction.
EACL (Findings)
Jinghan Yang, Linjie Xu, Lequan Yu
2024 J jnl
Self-Mining the Confident Prototypes for Source-Free Unsupervised Domain Adaptation in Image Segmentation.
IEEE Trans. Multim.
Yuntong Tian, Jiaxi Li, Huazhu Fu, Lei Zhu, Lequan Yu, Liang Wan
2024 J jnl
Single-Shot Plug-and-Play Methods for Inverse Problems.
Trans. Mach. Learn. Res.
Yanqi Cheng, Lipei Zhang, Zhenda Shen, Shujun Wang, Lequan Yu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2024 — conf
Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining.
MICCAI (9)
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Cheng Li, Yong Liang, Guangming Shi, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2024 J jnl
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining.
CoRR
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Yizhou Yu, Yong Liang, Guangming Shi, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2024 J jnl
Synthesizing Feature-Aligned and Category-Aware Electronic Medical Records for Intracranial Aneurysm Rupture Prediction.
IEEE J. Biomed. Health Informatics
Qian Yang, Caizi Li, Chubin Ou, Kang Li, Xiangyun Liao, Chuanzhi Duan, Lequan Yu, Weixin Si
2024 J jnl
ToolBridge: An Open-Source Dataset to Equip LLMs with External Tool Capabilities.
CoRR
Zhenchao Jin, Mengchen Liu, Dongdong Chen, Lingting Zhu, Yunsheng Li, Lequan Yu
2024 — conf
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process.
ECCV (54)
Yihang Chen, Tsai Hor Chan, Guosheng Yin, Yuming Jiang, Lequan Yu
2024 J jnl
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process.
CoRR
Yihang Chen, Tsai Hor Chan, Guosheng Yin, Yuming Jiang, Lequan Yu
2023 J jnl
ARR-GCN: Anatomy-Relation Reasoning Graph Convolutional Network for Automatic Fine-Grained Segmentation of Organ's Surgical Anatomy.
IEEE J. Biomed. Health Informatics
Yinli Tian, Wenjian Qin, Fei Xue, Ricardo Lambo, Meiyan Yue, Songhui Diao, Lequan Yu, Yaoqin Xie, Hailin Cao, Shuo Li
2023 J jnl
Adaptive Region-Specific Loss for Improved Medical Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Yizheng Chen, Lequan Yu, Jen-Yeu Wang, Neil Panjwani, Jean-Pierre Obeid, Wu Liu, Lianli Liu, Nataliya Kovalchuk, Michael Francis Gensheimer, Lucas Kas Vitzthum, Beth M. Beadle, Daniel T. Chang, Quynh-Thu Le, Bin Han, Lei Xing
2023 A* conf
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations.
NeurIPS
Tsai Hor Chan, Kin Wai Lau, Jiajun Shen, Guosheng Yin, Lequan Yu
2023 J jnl
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations.
CoRR
Tsai Hor Chan, Kin Wai Lau, Jiajun Shen, Guosheng Yin, Lequan Yu
2023 — conf
Cheap Lunch for Medical Image Segmentation by Fine-Tuning SAM on Few Exemplars.
BrainLes/SWITCH@MICCAI
Weijia Feng, Lingting Zhu, Lequan Yu
2023 J jnl
Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few Exemplars.
CoRR
Weijia Feng, Lingting Zhu, Lequan Yu
2023 A* conf
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis.
ICCV
Yanyan Huang, Weiqin Zhao, Shujun Wang, Yu Fu, Yuming Jiang, Lequan Yu
2023 J jnl
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis.
CoRR
Yanyan Huang, Weiqin Zhao, Shujun Wang, Yu Fu, Yuming Jiang, Lequan Yu
2023 — conf
Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation.
MICCAI (4)
Qingyue Wei, Lequan Yu, Xianhang Li, Wei Shao, Cihang Xie, Lei Xing, Yuyin Zhou
2023 J jnl
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation.
CoRR
Qingyue Wei, Lequan Yu, Xianhang Li, Wei Shao, Cihang Xie, Lei Xing, Yuyin Zhou
2023 — conf
Cross-View Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-Ray Pair.
MICCAI (6)
Zhonghang Zhu, Qichang Chen, Lequan Yu, Lianxin Wang, Defu Zhang, Baptiste Magnier, Liansheng Wang
2023 J jnl
Data Discernment for Affordable Training in Medical Image Segmentation.
IEEE Trans. Medical Imaging
Youyi Song, Lequan Yu, Baiying Lei, Kup-Sze Choi, Jing Qin
2023 J jnl
Domain-Incremental Cardiac Image Segmentation With Style-Oriented Replay and Domain-Sensitive Feature Whitening.
IEEE Trans. Medical Imaging
Kang Li, Lequan Yu, Pheng-Ann Heng
2023 J jnl
FetusMapV2: Enhanced Fetal Pose Estimation in 3D Ultrasound.
CoRR
Chaoyu Chen, Xin Yang, Yuhao Huang, Wenlong Shi, Yan Cao, Mingyuan Luo, Xindi Hu, Lei Zhue, Lequan Yu, Kejuan Yue, Yuanji Zhang, Yi Xiong, Dong Ni, Weijun Huang
2023 — conf
HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis.
MICCAI (6)
Ziyu Guo, Weiqin Zhao, Shujun Wang, Lequan Yu
2023 J jnl
HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis.
CoRR
Ziyu Guo, Weiqin Zhao, Shujun Wang, Lequan Yu
2023 A* conf
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning.
CVPR
Tsai Hor Chan, Fernando Julio Cendra, Lan Ma, Guosheng Yin, Lequan Yu
2023 J jnl
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning.
CoRR
Tsai Hor Chan, Fernando Julio Cendra, Lan Ma, Guosheng Yin, Lequan Yu
2023 J jnl
Hybrid Graph Convolutional Network With Online Masked Autoencoder for Robust Multimodal Cancer Survival Prediction.
IEEE Trans. Medical Imaging
Wentai Hou, Chengxuan Lin, Lequan Yu, Jing Qin, Rongshan Yu, Liansheng Wang
2023 J jnl
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation.
CoRR
Zhaohu Xing, Lei Zhu, Lequan Yu, Zhiheng Xing, Liang Wan
2023 A* conf
IDRNet: Intervention-Driven Relation Network for Semantic Segmentation.
NeurIPS
Zhenchao Jin, Xiaowei Hu, Lingting Zhu, Luchuan Song, Li Yuan, Lequan Yu
2023 J jnl
IDRNet: Intervention-Driven Relation Network for Semantic Segmentation.
CoRR
Zhenchao Jin, Xiaowei Hu, Lingting Zhu, Luchuan Song, Li Yuan, Lequan Yu
2023 J jnl
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhenchao Jin, Dongdong Yu, Zehuan Yuan, Lequan Yu
2023 A* conf
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery.
CVPR
Duowen Chen, Yunhao Bai, Wei Shen, Qingli Li, Lequan Yu, Yan Wang
2023 — conf
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis.
MICCAI (10)
Lingting Zhu, Zeyue Xue, Zhenchao Jin, Xian Liu, Jingzhen He, Ziwei Liu, Lequan Yu
2023 J jnl
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis.
CoRR
Lingting Zhu, Zeyue Xue, Zhenchao Jin, Xian Liu, Jingzhen He, Ziwei Liu, Lequan Yu
2023 J jnl
MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification.
IEEE Trans. Medical Imaging
Zhonghang Zhu, Lequan Yu, Wei Wu, Rongshan Yu, Defu Zhang, Liansheng Wang
2023 — conf
MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction.
MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI
Yan Miao, Lequan Yu
2023 J jnl
MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction.
CoRR
Yan Miao, Lequan Yu
2023 A* conf
MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis.
AAAI
Weiqin Zhao, Shujun Wang, Maximus C. F. Yeung, Tianye Niu, Lequan Yu
2023 J jnl
MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis.
CoRR
Weiqin Zhao, Shujun Wang, Maximus C. F. Yeung, Tianye Niu, Lequan Yu
2023 — conf
Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image Based Cancer Survival Prediction.
MICCAI (6)
Wentai Hou, Yan He, Bingjian Yao, Lequan Yu, Rongshan Yu, Feng Gao, Liansheng Wang
2023 J jnl
Noise-Disentangled Single-Pixel Imaging Under Photon-Limited Conditions.
IEEE Trans. Computational Imaging
Mengyu Jia, Zhaoqi Wei, Lequan Yu, Zhiyong Yuan, Feng Gao
2023 J jnl
Relabel Minimal Training Subset to Flip a Prediction.
CoRR
Jinghan Yang, Lequan Yu
2023 J jnl
Shared-Specific Feature Learning With Bottleneck Fusion Transformer for Multi-Modal Whole Slide Image Analysis.
IEEE Trans. Medical Imaging
Zhihua Wang, Lequan Yu, Xin Ding, Xuehong Liao, Liansheng Wang
2023 J jnl
Single-Shot Plug-and-Play Methods for Inverse Problems.
CoRR
Yanqi Cheng, Lipei Zhang, Zhenda Shen, Shujun Wang, Lequan Yu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2023 A* conf
Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation.
CVPR
Lingting Zhu, Xian Liu, Xuanyu Liu, Rui Qian, Ziwei Liu, Lequan Yu
2023 J jnl
Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation.
CoRR
Lingting Zhu, Xian Liu, Xuanyu Liu, Rui Qian, Ziwei Liu, Lequan Yu
2023 — conf
Transformer-Based Multimodal Fusion for Survival Prediction by Integrating Whole Slide Images, Clinical, and Genomic Data.
ISBI
Yihang Chen, Weiqin Zhao, Lequan Yu
2023 J jnl
nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer.
IEEE Trans. Image Process.
Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Xiaoguang Han, Lequan Yu, Liansheng Wang, Yizhou Yu
2022 J jnl
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2022 A* conf
CD
CVPR
Yiqing Shen, Yuyin Zhou, Lequan Yu
2022 J jnl
CD
CoRR
Yiqing Shen, Yuyin Zhou, Lequan Yu
2022 — conf
CateNorm: Categorical Normalization for Robust Medical Image Segmentation.
DART@MICCAI
Junfei Xiao, Lequan Yu, Zongwei Zhou, Yutong Bai, Lei Xing, Alan L. Yuille, Yuyin Zhou
2022 J jnl
Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening.
CoRR
Kang Li, Lequan Yu, Pheng-Ann Heng
2022 J jnl
Energy consumption intelligent modeling and prediction for additive manufacturing via multisource fusion and inter-layer consistency.
Comput. Ind. Eng.
Kang Wang, Lequan Yu, Jinghua Xu, Shuyou Zhang, Jing Qin
2022 A* conf
H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis.
AAAI
Wentai Hou, Lequan Yu, Chengxuan Lin, Helong Huang, Rongshan Yu, Jing Qin, Liansheng Wang
2022 — conf
ICBNet: Iterative Context-Boundary Feedback Network for Polyp Segmentation.
BIBM
Yefan Xiao, Zhihao Chen, Liang Wan, Lequan Yu, Lei Zhu
2022 — conf
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning.
MICCAI (3)
Tianling Liu, Wennan Liu, Lequan Yu, Liang Wan, Tong Han, Lei Zhu
2022 J jnl
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning.
CoRR
Tianling Liu, Wennan Liu, Lequan Yu, Liang Wan, Tong Han, Lei Zhu
2022 J jnl
Learning to Bootstrap for Combating Label Noise.
CoRR
Yuyin Zhou, Xianhang Li, Fengze Liu, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing
2022 J jnl
Lymph Node Metastasis Prediction From Whole Slide Images With Transformer-Guided Multiinstance Learning and Knowledge Transfer.
IEEE Trans. Medical Imaging
Zhihua Wang, Lequan Yu, Xin Ding, Xuehong Liao, Liansheng Wang
2022 J jnl
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation.
CoRR
Zhenchao Jin, Dongdong Yu, Zehuan Yuan, Lequan Yu
2022 J jnl
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery.
CoRR
Duowen Chen, Yunhao Bai, Wei Shen, Qingli Li, Lequan Yu, Yan Wang
2022 A* conf
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning.
NeurIPS
Fuying Wang, Yuyin Zhou, Shujun Wang, Varut Vardhanabhuti, Lequan Yu
2022 J jnl
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning.
CoRR
Fuying Wang, Yuyin Zhou, Shujun Wang, Varut Vardhanabhuti, Lequan Yu
2022 — conf
Multi-task Learning-Driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification.
CMMCA@MICCAI
Jiayuan Zhu, Shujun Wang, Jinzheng He, Carola-Bibiane Schönlieb, Lequan Yu
2022 — conf
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation.
MICCAI (5)
Zhaohu Xing, Lequan Yu, Liang Wan, Tong Han, Lei Zhu
2022 J jnl
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation.
CoRR
Zhaohu Xing, Lequan Yu, Liang Wan, Tong Han, Lei Zhu
2022 J jnl
Novel-view X-ray projection synthesis through geometry-integrated deep learning.
Medical Image Anal.
Liyue Shen, Lequan Yu, Wei Zhao, John M. Pauly, Lei Xing
2022 — conf
Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification.
MICCAI (3)
Zhonghang Zhu, Liansheng Wang, Baptiste Magnier, Lei Zhu, Defu Zhang, Lequan Yu
2022 J jnl
Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co-Training.
IEEE Trans. Medical Imaging
Cheng Xue, Lequan Yu, Pengfei Chen, Qi Dou, Pheng-Ann Heng
2022 J jnl
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training.
CoRR
Cheng Xue, Lequan Yu, Pengfei Chen, Qi Dou, Pheng-Ann Heng
2022 J jnl
STPD: Defending against ℓ0-norm attacks with space transformation.
Future Gener. Comput. Syst.
Jinlin Chen, Jiannong Cao, Zhixuan Liang, Xiaohui Cui, Lequan Yu, Wei Li
2022 — conf
Spatial-Hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification.
MICCAI (2)
Wentai Hou, Helong Huang, Qiong Peng, Rongshan Yu, Lequan Yu, Liansheng Wang
2022 J jnl
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references.
Medical Image Anal.
Kang Li, Lequan Yu, Pheng-Ann Heng
2022 — conf
You Should Look at All Objects.
ECCV (9)
Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu
2022 J jnl
You Should Look at All Objects.
CoRR
Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu
2021 J jnl
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation.
CoRR
Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2021 J jnl
Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation.
IEEE Trans. Medical Imaging
Hyunseok Seo, Lequan Yu, Hongyi Ren, Xiaomeng Li, Liyue Shen, Lei Xing
2021 J jnl
Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images.
IEEE Trans. Medical Imaging
Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing
2021 J jnl
Dual-Teacher++: Exploiting Intra-Domain and Inter-Domain Knowledge With Reliable Transfer for Cardiac Segmentation.
IEEE Trans. Medical Imaging
Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng
2021 J jnl
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation.
CoRR
Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng
2021 J jnl
DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation.
CoRR
Junfei Xiao, Lequan Yu, Lei Xing, Alan L. Yuille, Yuyin Zhou
2021 J jnl
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation.
CoRR
Yijun Yang, Shujun Wang, Pheng-Ann Heng, Lequan Yu
2021 J jnl
Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning.
CoRR
Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Hongyi Ren, Wei Zhao, Lei Xing
2021 J jnl
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge.
IEEE Trans. Medical Imaging
Yue Sun, Kun Gao, Zhengwang Wu, Guannan Li, Xiaopeng Zong, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Dinggang Shen, Gang Li, Li Wang
2021 J jnl
NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis.
Artif. Intell. Medicine
Wei Li, Jinlin Chen, Ping Chen, Lequan Yu, Xiaohui Cui, Yiwei Li, Fang Cheng, Wen Ouyang
2021 J jnl
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis.
IEEE Trans. Medical Imaging
Xiaomeng Li, Xiaowei Hu, Xiaojuan Qi, Lequan Yu, Wei Zhao, Pheng-Ann Heng, Lei Xing
2021 — conf
Selective Learning from External Data for CT Image Segmentation.
MICCAI (1)
Youyi Song, Lequan Yu, Baiying Lei, Kup-Sze Choi, Jing Qin
2021 — conf
TransCT: Dual-Path Transformer for Low Dose Computed Tomography.
MICCAI (6)
Zhicheng Zhang, Lequan Yu, XiaoKun Liang, Wei Zhao, Lei Xing
2021 J jnl
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation.
IEEE Trans. Neural Networks Learn. Syst.
Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng
2021 J jnl
nnFormer: Interleaved Transformer for Volumetric Segmentation.
CoRR
Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Lequan Yu, Liansheng Wang, Yizhou Yu
2020 A conf
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training.
WACV
Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth
2020 J jnl
CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading.
IEEE Trans. Medical Imaging
Xiaomeng Li, Xiaowei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng
2020 J jnl
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening.
IEEE Trans. Medical Imaging
Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng
2020 J jnl
Deep Mining External Imperfect Data for Chest X-ray Disease Screening.
CoRR
Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng
2020 J jnl
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images.
CoRR
Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing
2020 — conf
Difficulty-Aware Meta-learning for Rare Disease Diagnosis.
MICCAI (1)
Xiaomeng Li, Lequan Yu, Yueming Jin, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng
2020 J jnl
DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets.
IEEE Trans. Medical Imaging
Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng
2020 J jnl
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets.
CoRR
Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng
2020 — conf
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-Efficient Cardiac Segmentation.
MICCAI (1)
Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng
2020 J jnl
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation.
CoRR
Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng
2020 — conf
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization.
ECCV (9)
Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, Pheng-Ann Heng
2020 J jnl
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization.
CoRR
Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, Pheng-Ann Heng
2020 — conf
Local and Global Structure-Aware Entropy Regularized Mean Teacher Model for 3D Left Atrium Segmentation.
MICCAI (1)
Wenlong Hang, Wei Feng, Shuang Liang, Lequan Yu, Qiong Wang, Kup-Sze Choi, Jing Qin
2020 J jnl
MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data.
IEEE Trans. Medical Imaging
Quande Liu, Qi Dou, Lequan Yu, Pheng-Ann Heng
2020 J jnl
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data.
CoRR
Quande Liu, Qi Dou, Lequan Yu, Pheng-Ann Heng
2020 J jnl
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge.
CoRR
Yue Sun, Kun Gao, Zhengwang Wu, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Gang Li, Dinggang Shen, Li Wang
2020 J jnl
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification.
CoRR
Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Heng
2020 J jnl
Revisiting metric learning for few-shot image classification.
Neurocomputing
Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Meng Fang, Pheng-Ann Heng
2020 — conf
Robust Medical Image Segmentation from Non-expert Annotations with Tri-network.
MICCAI (4)
Tianwei Zhang, Lequan Yu, Na Hu, Su Lv, Shi Gu
2020 J jnl
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis.
IEEE Trans. Medical Imaging
Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, Lequan Yu, Lei Xing
2020 J jnl
Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis.
CoRR
Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, Lequan Yu, Lei Xing
2020 J jnl
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model.
IEEE Trans. Medical Imaging
Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng
2020 J jnl
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model.
CoRR
Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng
2020 A* conf
Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation.
AAAI
Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng
2020 J jnl
Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation.
CoRR
Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng
2020 J jnl
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.
CoRR
Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth
2020 J jnl
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.
Medical Image Anal.
Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth
2020 J jnl
Unsupervised Detection of Distinctive Regions on 3D Shapes.
ACM Trans. Graph.
Xianzhi Li, Lequan Yu, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng
2019 — conf
Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound.
MICCAI (5)
Haoran Dou, Xin Yang, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Wang, Yi Xiong, Pheng-Ann Heng, Dong Ni
2019 J jnl
Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound.
CoRR
Haoran Dou, Xin Yang, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Wang, Yi Xiong, Pheng-Ann Heng, Dong Ni
2019 — conf
Boundary and Entropy-Driven Adversarial Learning for Fundus Image Segmentation.
MICCAI (1)
Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng
2019 J jnl
Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation.
CoRR
Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng
2019 J jnl
CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading.
CoRR
Xiaomeng Li, Xiaowei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng
2019 J jnl
Difficulty-aware Meta-Learning for Rare Disease Diagnosis.
CoRR
Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng
2019 J jnl
Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation.
IEEE Trans. Medical Imaging
Shujun Wang, Lequan Yu, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng
2019 J jnl
Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation.
CoRR
Shujun Wang, Lequan Yu, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng
2019 — conf
Predicting Fluid Intelligence from MRI Images with Encoder-Decoder Regularization.
ABCD-NP@MICCAI
Lihao Liu, Lequan Yu, Shujun Wang, Pheng-Ann Heng
2019 J jnl
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification.
Medical Image Anal.
Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Heng
2019 J jnl
Revisiting Metric Learning for Few-Shot Image Classification.
CoRR
Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Meng Fang, Pheng-Ann Heng
2019 J jnl
Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound.
IEEE Trans. Medical Imaging
Xin Yang, Lequan Yu, Shengli Li, Huaxuan Wen, Dandan Luo, Cheng Bian, Jing Qin, Dong Ni, Pheng-Ann Heng
2019 J jnl
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation.
CoRR
Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng
2019 — conf
Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation.
MICCAI (2)
Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng
2019 J jnl
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation.
CoRR
Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng
2019 J jnl
Unsupervised Detection of Distinctive Regions on 3D Shapes.
CoRR
Xianzhi Li, Lequan Yu, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng
2019 — conf
Unsupervised Retina Image Synthesis via Disentangled Representation Learning.
SASHIMI@MICCAI
Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng
2018 J jnl
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training.
CoRR
Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth
2018 — conf
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images.
OR 2.0/CARE/CLIP/ISIC@MICCAI
Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng
2018 J jnl
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images.
CoRR
Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng
2018 — conf
EC-Net: An Edge-Aware Point Set Consolidation Network.
ECCV (7)
Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng
2018 J jnl
EC-Net: an Edge-aware Point set Consolidation Network.
CoRR
Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng
2018 A* conf
PU-Net: Point Cloud Upsampling Network.
CVPR
Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng
2018 J jnl
PU-Net: Point Cloud Upsampling Network.
CoRR
Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng
2018 J jnl
SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network.
IEEE Trans. Medical Imaging
Yueming Jin, Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng
2018 A conf
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model.
BMVC
Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng
2018 J jnl
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model.
CoRR
Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng
2018 J jnl
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images.
NeuroImage
Hao Chen, Qi Dou, Lequan Yu, Jing Qin, Pheng-Ann Heng
2017 — conf
3D Convolutional Networks for Fully Automatic Fine-Grained Whole Heart Partition.
STACOM@MICCAI
Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng
2017 — conf
3D U-net with Multi-level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR Images.
MLMI@MICCAI
Guodong Zeng, Xin Yang, Jing Li, Lequan Yu, Pheng-Ann Heng, Guoyan Zheng
2017 J jnl
3D deeply supervised network for automated segmentation of volumetric medical images.
Medical Image Anal.
Qi Dou, Lequan Yu, Hao Chen, Yueming Jin, Xin Yang, Jing Qin, Pheng-Ann Heng
2017 — conf
AGNet: Attention-Guided Network for Surgical Tool Presence Detection.
DLMIA/ML-CDS@MICCAI
Xiaowei Hu, Lequan Yu, Hao Chen, Jing Qin, Pheng-Ann Heng
2017 J jnl
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks.
IEEE Trans. Medical Imaging
Lequan Yu, Hao Chen, Qi Dou, Jing Qin, Pheng-Ann Heng
2017 — conf
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets.
MICCAI (2)
Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng
2017 J jnl
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets.
CoRR
Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng
2017 — conf
Class-Balanced Deep Neural Network for Automatic Ventricular Structure Segmentation.
STACOM@MICCAI
Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng
2017 J jnl
Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge.
IEEE Trans. Medical Imaging
Jorge Bernal, Nima Tajkbaksh, Francisco Javier Sánchez, Bogdan J. Matuszewski, Hao Chen, Lequan Yu, Quentin Angermann, Olivier Romain, Bjorn Rustad, Ilangko Balasingham, Konstantin Pogorelov, Sungbin Choi, Quentin Debard, Lena Maier-Hein, Stefanie Speidel, Danail Stoyanov, Patrick Brandao, Henry Córdova, Cristina Sánchez-Montes, Suryakanth R. Gurudu, Gloria Fernández-Esparrach, Xavier Dray, Jianming Liang, Aymeric Histace
2017 J jnl
DCAN: Deep contour-aware networks for object instance segmentation from histology images.
Medical Image Anal.
Hao Chen, Xiaojuan Qi, Lequan Yu, Qi Dou, Jing Qin, Pheng-Ann Heng
2017 — ch.
Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images.
Deep Learning for Medical Image Analysis
Hao Chen, Qi Dou, Lequan Yu, Jing Qin, Lei Zhao, Vincent C. T. Mok, Defeng Wang, Lin Shi, Pheng-Ann Heng
2017 A* conf
Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images.
AAAI
Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng
2017 — conf
Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing.
STACOM@MICCAI
Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng
2017 J jnl
Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos.
IEEE J. Biomed. Health Informatics
Lequan Yu, Hao Chen, Qi Dou, Jing Qin, Pheng-Ann Heng
2017 J jnl
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection.
IEEE Trans. Biomed. Eng.
Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Pheng-Ann Heng
2017 — conf
Towards Automatic Semantic Segmentation in Volumetric Ultrasound.
MICCAI (1)
Xin Yang, Lequan Yu, Shengli Li, Xu Wang, Na Wang, Jing Qin, Dong Ni, Pheng-Ann Heng
2017 A* conf
Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images.
AAAI
Lequan Yu, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng
2016 — conf
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes.
MICCAI (2)
Qi Dou, Hao Chen, Yueming Jin, Lequan Yu, Jing Qin, Pheng-Ann Heng
2016 J jnl
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes.
CoRR
Qi Dou, Hao Chen, Yueming Jin, Lequan Yu, Jing Qin, Pheng-Ann Heng
2016 — conf
3D FractalNet: Dense Volumetric Segmentation for Cardiovascular MRI Volumes.
RAMBO+HVSMR@MICCAI
Lequan Yu, Xin Yang, Jing Qin, Pheng-Ann Heng
2016 J jnl
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks.
IEEE Trans. Medical Imaging
Qi Dou, Hao Chen, Lequan Yu, Lei Zhao, Jing Qin, Defeng Wang, Vincent C. T. Mok, Lin Shi, Pheng-Ann Heng
2016 A* conf
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation.
CVPR
Hao Chen, Xiaojuan Qi, Lequan Yu, Pheng-Ann Heng
2016 J jnl
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation.
CoRR
Hao Chen, Xiaojuan Qi, Lequan Yu, Pheng-Ann Heng
2016 J jnl
Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images.
CoRR
Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng
2016 J jnl
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation.
CoRR
Hao Chen, Qi Dou, Lequan Yu, Pheng-Ann Heng
2015 — conf
Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features.
EMBC
Qi Dou, Hao Chen, Lequan Yu, Lin Shi, Defeng Wang, Vincent C. T. Mok, Pheng-Ann Heng
2015 — conf
Automatic detection of cerebral microbleeds via deep learning based 3D feature representation.
ISBI
Hao Chen, Lequan Yu, Qi Dou, Lin Shi, Vincent C. T. Mok, Pheng-Ann Heng