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2020 – today
- 2025
[j54]Lingting Zhu
, Yizheng Chen, Lianli Liu, Lei Xing, Lequan Yu:
Multi-Sensor Learning Enables Information Transfer Across Different Sensory Data and Augments Multi-Modality Imaging. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 288-304 (2025)- 2024
- [j53]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:
FetusMapV2: Enhanced fetal pose estimation in 3D ultrasound. Medical Image Anal. 91: 103013 (2024) - [j52]Yu Fu, Shunjie Dong, Yanyan Huang, Meng Niu, Chao Ni, Lequan Yu, Kuangyu Shi, Zhijun Yao, Cheng Zhuo:
MPGAN: Multi Pareto Generative Adversarial Network for the denoising and quantitative analysis of low-dose PET images of human brain. Medical Image Anal. 98: 103306 (2024) - [j51]Tsai Hor Chan, Guosheng Yin, Kyongtae Bae, Lequan Yu:
Multi-task heterogeneous graph learning on electronic health records. Neural Networks 180: 106644 (2024) - [j50]Jiajun Xiang, Aihua Mao, Jiayi Xie, Hongbin Han, Xianghong Wang, Peng Jin, Jichen Du, Mingchao Ding, Lequan Yu, Tianye Niu:
DER-GAN: Dual-Energy Recovery GAN for Conebeam CT. IEEE Trans. Computational Imaging 10: 28-42 (2024) - [j49]Zhaohu Xing, Lei Zhu, Lequan Yu, Zhiheng Xing, Liang Wan:
Hybrid Masked Image Modeling for 3D Medical Image Segmentation. IEEE J. Biomed. Health Informatics 28(4): 2115-2125 (2024) - [j48]Qian Yang, Caizi Li, Chubin Ou, Kang Li, Xiangyun Liao, Chuanzhi Duan, Lequan Yu, Weixin Si:
Synthesizing Feature-Aligned and Category-Aware Electronic Medical Records for Intracranial Aneurysm Rupture Prediction. IEEE J. Biomed. Health Informatics 28(12): 7420-7433 (2024) - [j47]Lianyu Zhou, Lequan Yu, Liansheng Wang:
RECIST-Induced Reliable Learning: Geometry-Driven Label Propagation for Universal Lesion Segmentation. IEEE Trans. Medical Imaging 43(1): 149-161 (2024) - [j46]Kang Li, Yu Zhu, Lequan Yu, Pheng-Ann Heng:
A Dual Enrichment Synergistic Strategy to Handle Data Heterogeneity for Domain Incremental Cardiac Segmentation. IEEE Trans. Medical Imaging 43(6): 2279-2290 (2024) - [j45]Yuntong Tian, Jiaxi Li, Huazhu Fu, Lei Zhu, Lequan Yu, Liang Wan:
Self-Mining the Confident Prototypes for Source-Free Unsupervised Domain Adaptation in Image Segmentation. IEEE Trans. Multim. 26: 7709-7720 (2024) - [c69]Weiping Lin, Zhenfeng Zhuang, Lequan Yu, Liansheng Wang:
Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference. AAAI 2024: 3477-3485 - [c68]Yu Zhu, Kang Li, Lequan Yu, Pheng-Ann Heng:
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification. AAAI 2024: 7802-7810 - [c67]Yuyin Zhou, Xianhang Li, Fengze Liu, Qingyue Wei, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing:
L2B: Learning to Bootstrap Robust Models for Combating Label Noise. CVPR 2024: 23523-23533 - [c66]Jinghan Yang, Linjie Xu, Lequan Yu:
Relabeling Minimal Training Subset to Flip a Prediction. EACL (Findings) 2024: 1085-1098 - [c65]Fuying Wang, Shenghui Du, Lequan Yu:
HERGen: Elevating Radiology Report Generation with Longitudinal Data. ECCV (55) 2024: 183-200 - [c64]Yihang Chen, Tsai Hor Chan, Guosheng Yin, Yuming Jiang, Lequan Yu:
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process. ECCV (54) 2024: 232-250 - [c63]Qiong Peng, Weiping Lin, Yihuang Hu, Ailisi Bao, Chenyu Lian, Weiwei Wei, Meng Yue, Jingxin Liu, Lequan Yu, Liansheng Wang:
Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring. MICCAI (4) 2024: 3-13 - [c62]Lingting Zhu, Zhao Wang, Jiahao Cui, Zhenchao Jin, Guying Lin, Lequan Yu:
EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting. ISIC/iMIMIC/EARTH/DeCaF@MICCAI 2024: 135-145 - [c61]Min Cen, Zheng Wang, Zhenfeng Zhuang, Hong Zhang, Dan Su, Zhen Bao, Weiwei Wei, Baptiste Magnier, Lequan Yu, Liansheng Wang:
ORCGT: Ollivier-Ricci Curvature-Based Graph Model for Lung STAS Prediction. MICCAI (5) 2024: 553-563 - [c60]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:
Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining. MICCAI (9) 2024: 615-625 - [c59]Xiaohan Xing, Liang Qiu, Lequan Yu, Lingting Zhu, Lei Xing, Lianli Liu:
Low-to-High Frequency Progressive K-Space Learning for MRI Reconstruction. MLMI@MICCAI (1) 2024: 177-186 - [i77]Lingting Zhu, Zhao Wang, Zhenchao Jin, Guying Lin, Lequan Yu:
Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting. CoRR abs/2401.11535 (2024) - [i76]Yu Zhu, Kang Li, Lequan Yu, Pheng-Ann Heng:
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification. CoRR abs/2401.11674 (2024) - [i75]Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Yizhou Yu, Yong Liang, Guangming Shi, Shaoting Zhang, Hairong Zheng, Shanshan Wang:
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining. CoRR abs/2402.03302 (2024) - [i74]Lingting Zhu, Noel Codella, Dongdong Chen, Zhenchao Jin, Lu Yuan, Lequan Yu:
Generative Enhancement for 3D Medical Images. CoRR abs/2403.12852 (2024) - [i73]Tianling Liu, Hongying Liu, Fanhua Shang, Lequan Yu, Tong Han, Liang Wan:
Completed Feature Disentanglement Learning for Multimodal MRIs Analysis. CoRR abs/2407.04916 (2024) - [i72]Yihang Chen, Tsai Hor Chan, Guosheng Yin, Yuming Jiang, Lequan Yu:
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process. CoRR abs/2407.11448 (2024) - [i71]Fuying Wang, Shenghui Du, Lequan Yu:
HERGen: Elevating Radiology Report Generation with Longitudinal Data. CoRR abs/2407.15158 (2024) - [i70]Jialang Xu, Jiacheng Wang, Lequan Yu, Danail Stoyanov, Yueming Jin, Evangelos B. Mazomenos:
Personalizing Federated Instrument Segmentation with Visual Trait Priors in Robotic Surgery. CoRR abs/2408.03208 (2024) - [i69]Tsai Hor Chan, Guosheng Yin, Kyongtae Bae, Lequan Yu:
Multi-task Heterogeneous Graph Learning on Electronic Health Records. CoRR abs/2408.07569 (2024) - [i68]Lingting Zhu, Yizheng Chen, Lianli Liu, Lei Xing, Lequan Yu:
Multi-sensor Learning Enables Information Transfer across Different Sensory Data and Augments Multi-modality Imaging. CoRR abs/2409.19420 (2024) - [i67]Zhenchao Jin, Mengchen Liu, Dongdong Chen, Lingting Zhu, Yunsheng Li, Lequan Yu:
ToolBridge: An Open-Source Dataset to Equip LLMs with External Tool Capabilities. CoRR abs/2410.10872 (2024) - [i66]Fuying Wang, Feng Wu, Yihan Tang, Lequan Yu:
CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis. CoRR abs/2411.00696 (2024) - [i65]Yanyan Huang, Weiqin Zhao, Yihang Chen, Yu Fu, Lequan Yu:
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement. CoRR abs/2411.09894 (2024) - [i64]Weiqin Zhao, Ziyu Guo, Yinshuang Fan, Yuming Jiang, Maximus Yeung, Lequan Yu:
Aligning Knowledge Concepts to Whole Slide Images for Precise Histopathology Image Analysis. CoRR abs/2411.18101 (2024) - [i63]Zhenfeng Zhuang, Min Cen, Yanfeng Li, Fangyu Zhou, Lequan Yu, Baptiste Magnier, Liansheng Wang:
Dynamic Entity-Masked Graph Diffusion Model for histopathological image Representation Learning. CoRR abs/2412.10482 (2024) - 2023
- [j44]Zhenchao Jin, Dongdong Yu, Zehuan Yuan, Lequan Yu:
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5988-6005 (2023) - [j43]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:
Adaptive Region-Specific Loss for Improved Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13408-13421 (2023) - [j42]Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Xiaoguang Han, Lequan Yu, Liansheng Wang, Yizhou Yu:
nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer. IEEE Trans. Image Process. 32: 4036-4045 (2023) - [j41]Yinli Tian, Wenjian Qin, Fei Xue, Ricardo Lambo, Meiyan Yue, Songhui Diao, Lequan Yu, Yaoqin Xie, Hailin Cao, Shuo Li:
ARR-GCN: Anatomy-Relation Reasoning Graph Convolutional Network for Automatic Fine-Grained Segmentation of Organ's Surgical Anatomy. IEEE J. Biomed. Health Informatics 27(7): 3258-3269 (2023) - [j40]Kang Li, Lequan Yu, Pheng-Ann Heng:
Domain-Incremental Cardiac Image Segmentation With Style-Oriented Replay and Domain-Sensitive Feature Whitening. IEEE Trans. Medical Imaging 42(3): 570-581 (2023) - [j39]Zhonghang Zhu, Lequan Yu, Wei Wu, Rongshan Yu, Defu Zhang, Liansheng Wang:
MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification. IEEE Trans. Medical Imaging 42(5): 1337-1348 (2023) - [j38]Youyi Song, Lequan Yu, Baiying Lei, Kup-Sze Choi, Jing Qin:
Data Discernment for Affordable Training in Medical Image Segmentation. IEEE Trans. Medical Imaging 42(5): 1431-1445 (2023) - [j37]Wentai Hou, Chengxuan Lin, Lequan Yu, Jing Qin, Rongshan Yu, Liansheng Wang:
Hybrid Graph Convolutional Network With Online Masked Autoencoder for Robust Multimodal Cancer Survival Prediction. IEEE Trans. Medical Imaging 42(8): 2462-2473 (2023) - [j36]Zhihua Wang, Lequan Yu, Xin Ding, Xuehong Liao, Liansheng Wang:
Shared-Specific Feature Learning With Bottleneck Fusion Transformer for Multi-Modal Whole Slide Image Analysis. IEEE Trans. Medical Imaging 42(11): 3374-3383 (2023) - [c58]Weiqin Zhao, Shujun Wang, Maximus Yeung, Tianye Niu, Lequan Yu:
MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis. AAAI 2023: 3606-3614 - [c57]Weijia Feng, Lingting Zhu, Lequan Yu:
Cheap Lunch for Medical Image Segmentation by Fine-Tuning SAM on Few Exemplars. BrainLes/SWITCH@MICCAI 2023: 13-22 - [c56]Lingting Zhu, Xian Liu, Xuanyu Liu, Rui Qian, Ziwei Liu, Lequan Yu:
Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation. CVPR 2023: 10544-10553 - [c55]Tsai Hor Chan, Fernando Julio Cendra, Lan Ma, Guosheng Yin, Lequan Yu:
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning. CVPR 2023: 15661-15670 - [c54]Duowen Chen, Yunhao Bai, Wei Shen, Qingli Li, Lequan Yu, Yan Wang:
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery. CVPR 2023: 23869-23878 - [c53]Yanyan Huang, Weiqin Zhao, Shujun Wang, Yu Fu, Yuming Jiang, Lequan Yu:
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis. ICCV 2023: 21292-21303 - [c52]Yihang Chen, Weiqin Zhao, Lequan Yu:
Transformer-Based Multimodal Fusion for Survival Prediction by Integrating Whole Slide Images, Clinical, and Genomic Data. ISBI 2023: 1-5 - [c51]Qingyue Wei, Lequan Yu, Xianhang Li, Wei Shao, Cihang Xie, Lei Xing, Yuyin Zhou:
Consistency-Guided Meta-learning for Bootstrapping Semi-supervised Medical Image Segmentation. MICCAI (4) 2023: 183-193 - [c50]Yan Miao, Lequan Yu:
MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 276-285 - [c49]Zhonghang Zhu, Qichang Chen, Lequan Yu, Lianxin Wang, Defu Zhang, Baptiste Magnier, Liansheng Wang:
Cross-View Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-Ray Pair. MICCAI (6) 2023: 444-453 - [c48]Lingting Zhu, Zeyue Xue, Zhenchao Jin, Xian Liu, Jingzhen He, Ziwei Liu, Lequan Yu:
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis. MICCAI (10) 2023: 592-601 - [c47]Wentai Hou, Yan He, Bingjian Yao, Lequan Yu, Rongshan Yu, Feng Gao, Liansheng Wang:
Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image Based Cancer Survival Prediction. MICCAI (6) 2023: 745-754 - [c46]Ziyu Guo, Weiqin Zhao, Shujun Wang, Lequan Yu:
HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis. MICCAI (6) 2023: 755-764 - [c45]Tsai Hor Chan, Kin Wai Lau, Jiajun Shen, Guosheng Yin, Lequan Yu:
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations. NeurIPS 2023 - [c44]Zhenchao Jin, Xiaowei Hu, Lingting Zhu, Luchuan Song, Li Yuan, Lequan Yu:
IDRNet: Intervention-Driven Relation Network for Semantic Segmentation. NeurIPS 2023 - [i62]Weiqin Zhao, Shujun Wang, Maximus Yeung, Tianye Niu, Lequan Yu:
MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis. CoRR abs/2302.10574 (2023) - [i61]Lingting Zhu, Xian Liu, Xuanyu Liu, Rui Qian, Ziwei Liu, Lequan Yu:
Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation. CoRR abs/2303.09119 (2023) - [i60]Zhaohu Xing, Lei Zhu, Lequan Yu, Zhiheng Xing, Liang Wan:
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image Segmentation. CoRR abs/2303.10333 (2023) - [i59]Jinghan Yang, Lequan Yu:
Relabel Minimal Training Subset to Flip a Prediction. CoRR abs/2305.12809 (2023) - [i58]Tsai Hor Chan, Fernando Julio Cendra, Lan Ma, Guosheng Yin, Lequan Yu:
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning. CoRR abs/2307.04189 (2023) - [i57]Lingting Zhu, Zeyue Xue, Zhenchao Jin, Xian Liu, Jingzhen He, Ziwei Liu, Lequan Yu:
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis. CoRR abs/2307.10094 (2023) - [i56]Qingyue Wei, Lequan Yu, Xianhang Li, Wei Shao, Cihang Xie, Lei Xing, Yuyin Zhou:
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation. CoRR abs/2307.11604 (2023) - [i55]Yanyan Huang, Weiqin Zhao, Shujun Wang, Yu Fu, Yuming Jiang, Lequan Yu:
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis. CoRR abs/2308.13324 (2023) - [i54]Weijia Feng, Lingting Zhu, Lequan Yu:
Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few Exemplars. CoRR abs/2308.14133 (2023) - [i53]Ziyu Guo, Weiqin Zhao, Shujun Wang, Lequan Yu:
HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis. CoRR abs/2309.07400 (2023) - [i52]Zhenchao Jin, Xiaowei Hu, Lingting Zhu, Luchuan Song, Li Yuan, Lequan Yu:
IDRNet: Intervention-Driven Relation Network for Semantic Segmentation. CoRR abs/2310.10755 (2023) - [i51]Tsai Hor Chan, Kin Wai Lau, Jiajun Shen, Guosheng Yin, Lequan Yu:
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations. CoRR abs/2310.16587 (2023) - [i50]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:
FetusMapV2: Enhanced Fetal Pose Estimation in 3D Ultrasound. CoRR abs/2310.19293 (2023) - [i49]Yan Miao, Lequan Yu:
MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction. CoRR abs/2311.07608 (2023) - [i48]Yanqi Cheng, Lipei Zhang, Zhenda Shen, Shujun Wang, Lequan Yu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Single-Shot Plug-and-Play Methods for Inverse Problems. CoRR abs/2311.13682 (2023) - 2022
- [j35]Kang Wang, Lequan Yu, Jinghua Xu, Shuyou Zhang, Jing Qin:
Energy consumption intelligent modeling and prediction for additive manufacturing via multisource fusion and inter-layer consistency. Comput. Ind. Eng. 173: 108720 (2022) - [j34]Jinlin Chen, Jiannong Cao, Zhixuan Liang, Xiaohui Cui, Lequan Yu, Wei Li:
STPD: Defending against ℓ0-norm attacks with space transformation. Future Gener. Comput. Syst. 126: 225-236 (2022) - [j33]Liyue Shen, Lequan Yu, Wei Zhao, John M. Pauly, Lei Xing:
Novel-view X-ray projection synthesis through geometry-integrated deep learning. Medical Image Anal. 77: 102372 (2022) - [j32]Kang Li, Lequan Yu, Pheng-Ann Heng:
Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references. Medical Image Anal. 78: 102426 (2022) - [j31]Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong:
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation. IEEE J. Biomed. Health Informatics 26(7): 3174-3184 (2022) - [j30]Cheng Xue, Lequan Yu, Pengfei Chen, Qi Dou, Pheng-Ann Heng:
Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co-Training. IEEE Trans. Medical Imaging 41(6): 1371-1382 (2022) - [j29]Zhihua Wang, Lequan Yu, Xin Ding, Xuehong Liao, Liansheng Wang:
Lymph Node Metastasis Prediction From Whole Slide Images With Transformer-Guided Multiinstance Learning and Knowledge Transfer. IEEE Trans. Medical Imaging 41(10): 2777-2787 (2022) - [c43]Wentai Hou, Lequan Yu, Chengxuan Lin, Helong Huang, Rongshan Yu, Jing Qin, Liansheng Wang:
H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis. AAAI 2022: 933-941 - [c42]Yefan Xiao, Zhihao Chen, Liang Wan, Lequan Yu, Lei Zhu:
ICBNet: Iterative Context-Boundary Feedback Network for Polyp Segmentation. BIBM 2022: 1297-1304 - [c41]Yiqing Shen, Yuyin Zhou, Lequan Yu:
CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning. CVPR 2022: 10031-10040 - [c40]Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu:
You Should Look at All Objects. ECCV (9) 2022: 332-349 - [c39]Jiayuan Zhu, Shujun Wang, Jinzheng He, Carola-Bibiane Schönlieb, Lequan Yu:
Multi-task Learning-Driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification. CMMCA@MICCAI 2022: 110-120 - [c38]Junfei Xiao, Lequan Yu, Zongwei Zhou, Yutong Bai, Lei Xing, Alan L. Yuille, Yuyin Zhou:
CateNorm: Categorical Normalization for Robust Medical Image Segmentation. DART@MICCAI 2022: 129-146 - [c37]Zhaohu Xing, Lequan Yu, Liang Wan, Tong Han, Lei Zhu:
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation. MICCAI (5) 2022: 140-150 - [c36]Wentai Hou, Helong Huang, Qiong Peng, Rongshan Yu, Lequan Yu, Liansheng Wang:
Spatial-Hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification. MICCAI (2) 2022: 181-191 - [c35]Tianling Liu, Wennan Liu, Lequan Yu, Liang Wan, Tong Han, Lei Zhu:
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning. MICCAI (3) 2022: 355-365 - [c34]Zhonghang Zhu, Liansheng Wang, Baptiste Magnier, Lei Zhu, Defu Zhang, Lequan Yu:
Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification. MICCAI (3) 2022: 604-613 - [c33]Fuying Wang, Yuyin Zhou, Shujun Wang, Varut Vardhanabhuti, Lequan Yu:
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning. NeurIPS 2022 - [i47]Yuyin Zhou, Xianhang Li, Fengze Liu, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing:
Learning to Bootstrap for Combating Label Noise. CoRR abs/2202.04291 (2022) - [i46]Yiqing Shen, Yuyin Zhou, Lequan Yu:
CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning. CoRR abs/2204.03880 (2022) - [i45]Cheng Xue, Lequan Yu, Pengfei Chen, Qi Dou, Pheng-Ann Heng:
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training. CoRR abs/2205.04723 (2022) - [i44]Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu:
You Should Look at All Objects. CoRR abs/2207.07889 (2022) - [i43]Zhaohu Xing, Lequan Yu, Liang Wan, Tong Han, Lei Zhu:
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation. CoRR abs/2208.14876 (2022) - [i42]Tianling Liu, Wennan Liu, Lequan Yu, Liang Wan, Tong Han, Lei Zhu:
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning. CoRR abs/2209.01517 (2022) - [i41]Zhenchao Jin, Dongdong Yu, Zehuan Yuan, Lequan Yu:
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation. CoRR abs/2209.04471 (2022) - [i40]Fuying Wang, Yuyin Zhou, Shujun Wang, Varut Vardhanabhuti, Lequan Yu:
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning. CoRR abs/2210.06044 (2022) - [i39]Kang Li, Lequan Yu, Pheng-Ann Heng:
Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening. CoRR abs/2211.04862 (2022) - [i38]Duowen Chen, Yunhao Bai, Wei Shen, Qingli Li, Lequan Yu, Yan Wang:
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery. CoRR abs/2212.14310 (2022) - 2021
- [j28]Wei Li, Jinlin Chen, Ping Chen, Lequan Yu, Xiaohui Cui, Yiwei Li, Fang Cheng, Wen Ouyang:
NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis. Artif. Intell. Medicine 117: 102082 (2021) - [j27]Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing:
Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images. IEEE Trans. Medical Imaging 40(1): 228-238 (2021) - [j26]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:
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. IEEE Trans. Medical Imaging 40(5): 1363-1376 (2021) - [j25]Xiaomeng Li, Xiaowei Hu, Xiaojuan Qi, Lequan Yu, Wei Zhao, Pheng-Ann Heng, Lei Xing:
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis. IEEE Trans. Medical Imaging 40(9): 2284-2294 (2021) - [j24]Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng:
Dual-Teacher++: Exploiting Intra-Domain and Inter-Domain Knowledge With Reliable Transfer for Cardiac Segmentation. IEEE Trans. Medical Imaging 40(10): 2771-2782 (2021) - [j23]Hyunseok Seo, Lequan Yu, Hongyi Ren, Xiaomeng Li, Liyue Shen, Lei Xing:
Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation. IEEE Trans. Medical Imaging 40(12): 3369-3378 (2021) - [j22]Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng:
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 32(2): 523-534 (2021) - [c32]Zhicheng Zhang, Lequan Yu, Xiaokun Liang, Wei Zhao, Lei Xing:
TransCT: Dual-Path Transformer for Low Dose Computed Tomography. MICCAI (6) 2021: 55-64 - [c31]Youyi Song, Lequan Yu, Baiying Lei, Kup-Sze Choi, Jing Qin:
Selective Learning from External Data for CT Image Segmentation. MICCAI (1) 2021: 420-430 - [i37]Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng:
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation. CoRR abs/2101.02375 (2021) - [i36]Junfei Xiao, Lequan Yu, Lei Xing, Alan L. Yuille, Yuyin Zhou:
DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation. CoRR abs/2103.15858 (2021) - [i35]Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Lequan Yu, Liansheng Wang, Yizhou Yu:
nnFormer: Interleaved Transformer for Volumetric Segmentation. CoRR abs/2109.03201 (2021) - [i34]Yijun Yang, Shujun Wang, Pheng-Ann Heng, Lequan Yu:
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation. CoRR abs/2109.05742 (2021) - [i33]Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Hongyi Ren, Wei Zhao, Lei Xing:
Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning. CoRR abs/2109.13483 (2021) - [i32]Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong:
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation. CoRR abs/2109.13930 (2021) - 2020
- [j21]Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Meng Fang, Pheng-Ann Heng:
Revisiting metric learning for few-shot image classification. Neurocomputing 406: 49-58 (2020) - [j20]Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. Medical Image Anal. 65: 101766 (2020) - [j19]Xiaomeng Li, Xiaowei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng:
CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading. IEEE Trans. Medical Imaging 39(5): 1483-1493 (2020) - [j18]Quande Liu, Qi Dou, Lequan Yu, Pheng-Ann Heng:
MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data. IEEE Trans. Medical Imaging 39(9): 2713-2724 (2020) - [j17]Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng:
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model. IEEE Trans. Medical Imaging 39(11): 3429-3440 (2020) - [j16]Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng:
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening. IEEE Trans. Medical Imaging 39(11): 3583-3594 (2020) - [j15]Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, Lequan Yu, Lei Xing:
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis. IEEE Trans. Medical Imaging 39(12): 4023-4033 (2020) - [j14]Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets. IEEE Trans. Medical Imaging 39(12): 4237-4248 (2020) - [j13]Xianzhi Li, Lequan Yu, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
Unsupervised Detection of Distinctive Regions on 3D Shapes. ACM Trans. Graph. 39(5): 158:1-158:14 (2020) - [c30]Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng:
Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation. AAAI 2020: 775-783 - [c29]Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, Pheng-Ann Heng:
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization. ECCV (9) 2020: 159-176 - [c28]Tianwei Zhang, Lequan Yu, Na Hu, Su Lv, Shi Gu:
Robust Medical Image Segmentation from Non-expert Annotations with Tri-network. MICCAI (4) 2020: 249-258 - [c27]Xiaomeng Li, Lequan Yu, Yueming Jin, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng:
Difficulty-Aware Meta-learning for Rare Disease Diagnosis. MICCAI (1) 2020: 357-366 - [c26]Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng:
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-Efficient Cardiac Segmentation. MICCAI (1) 2020: 418-427 - [c25]Wenlong Hang, Wei Feng, Shuang Liang, Lequan Yu, Qiong Wang, Kup-Sze Choi, Jing Qin:
Local and Global Structure-Aware Entropy Regularized Mean Teacher Model for 3D Left Atrium Segmentation. MICCAI (1) 2020: 562-571 - [c24]Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. WACV 2020: 3635-3644 - [i31]Quande Liu, Qi Dou, Lequan Yu, Pheng-Ann Heng:
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data. CoRR abs/2002.03366 (2020) - [i30]Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng:
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model. CoRR abs/2005.07377 (2020) - [i29]Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng:
Deep Mining External Imperfect Data for Chest X-ray Disease Screening. CoRR abs/2006.03796 (2020) - [i28]Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. CoRR abs/2006.16806 (2020) - [i27]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:
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. CoRR abs/2007.02096 (2020) - [i26]Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng:
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation. CoRR abs/2007.06279 (2020) - [i25]Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, Pheng-Ann Heng:
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization. CoRR abs/2007.09316 (2020) - [i24]Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, Lequan Yu, Lei Xing:
Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis. CoRR abs/2007.11067 (2020) - [i23]Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing:
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images. CoRR abs/2009.07469 (2020) - [i22]Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng:
Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation. CoRR abs/2010.01532 (2020) - [i21]Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets. CoRR abs/2010.06208 (2020) - [i20]Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Heng:
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification. CoRR abs/2010.06440 (2020)
2010 – 2019
- 2019
- [j12]Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Heng:
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification. Medical Image Anal. 58 (2019) - [j11]Xin Yang, Lequan Yu, Shengli Li, Huaxuan Wen, Dandan Luo, Cheng Bian, Jing Qin, Dong Ni, Pheng-Ann Heng:
Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound. IEEE Trans. Medical Imaging 38(1): 180-193 (2019) - [j10]Shujun Wang, Lequan Yu, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation. IEEE Trans. Medical Imaging 38(11): 2485-2495 (2019) - [c23]Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng:
Unsupervised Retina Image Synthesis via Disentangled Representation Learning. SASHIMI@MICCAI 2019: 32-41 - [c22]Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
Boundary and Entropy-Driven Adversarial Learning for Fundus Image Segmentation. MICCAI (1) 2019: 102-110 - [c21]Lihao Liu, Lequan Yu, Shujun Wang, Pheng-Ann Heng:
Predicting Fluid Intelligence from MRI Images with Encoder-Decoder Regularization. ABCD-NP@MICCAI 2019: 108-113 - [c20]Haoran Dou, Xin Yang, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Wang, Yi Xiong, Pheng-Ann Heng, Dong Ni:
Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound. MICCAI (5) 2019: 290-298 - [c19]Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng:
Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation. MICCAI (2) 2019: 605-613 - [i19]Shujun Wang, Lequan Yu, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation. CoRR abs/1902.07519 (2019) - [i18]Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation. CoRR abs/1903.00348 (2019) - [i17]Xianzhi Li, Lequan Yu, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
Unsupervised Detection of Distinctive Regions on 3D Shapes. CoRR abs/1905.01684 (2019) - [i16]Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation. CoRR abs/1906.11143 (2019) - [i15]Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng:
Difficulty-aware Meta-Learning for Rare Disease Diagnosis. CoRR abs/1907.00354 (2019) - [i14]Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Meng Fang, Pheng-Ann Heng:
Revisiting Metric Learning for Few-Shot Image Classification. CoRR abs/1907.03123 (2019) - [i13]Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng:
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation. CoRR abs/1907.07034 (2019) - [i12]Haoran Dou, Xin Yang, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Wang, Yi Xiong, Pheng-Ann Heng, Dong Ni:
Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound. CoRR abs/1910.04331 (2019) - [i11]Xiaomeng Li, Xiaowei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng:
CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading. CoRR abs/1911.01376 (2019) - 2018
- [j9]Hao Chen, Qi Dou, Lequan Yu, Jing Qin, Pheng-Ann Heng:
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images. NeuroImage 170: 446-455 (2018) - [j8]Yueming Jin, Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng:
SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network. IEEE Trans. Medical Imaging 37(5): 1114-1126 (2018) - [c18]Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model. BMVC 2018: 63 - [c17]Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
PU-Net: Point Cloud Upsampling Network. CVPR 2018: 2790-2799 - [c16]Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
EC-Net: An Edge-Aware Point Set Consolidation Network. ECCV (7) 2018: 398-414 - [c15]Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng:
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 235-243 - [i10]Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
PU-Net: Point Cloud Upsampling Network. CoRR abs/1801.06761 (2018) - [i9]Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng:
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images. CoRR abs/1807.02804 (2018) - [i8]Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
EC-Net: an Edge-aware Point set Consolidation Network. CoRR abs/1807.06010 (2018) - [i7]Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model. CoRR abs/1808.03887 (2018) - [i6]Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth:
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. CoRR abs/1811.12506 (2018) - 2017
- [j7]Hao Chen, Xiaojuan Qi, Lequan Yu, Qi Dou, Jing Qin, Pheng-Ann Heng:
DCAN: Deep contour-aware networks for object instance segmentation from histology images. Medical Image Anal. 36: 135-146 (2017) - [j6]Qi Dou, Lequan Yu, Hao Chen, Yueming Jin, Xin Yang, Jing Qin, Pheng-Ann Heng:
3D deeply supervised network for automated segmentation of volumetric medical images. Medical Image Anal. 41: 40-54 (2017) - [j5]Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Pheng-Ann Heng:
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection. IEEE Trans. Biomed. Eng. 64(7): 1558-1567 (2017) - [j4]Lequan Yu, Hao Chen, Qi Dou, Jing Qin, Pheng-Ann Heng:
Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos. IEEE J. Biomed. Health Informatics 21(1): 65-75 (2017) - [j3]Lequan Yu, Hao Chen, Qi Dou, Jing Qin, Pheng-Ann Heng:
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks. IEEE Trans. Medical Imaging 36(4): 994-1004 (2017) - [j2]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:
Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge. IEEE Trans. Medical Imaging 36(6): 1231-1249 (2017) - [c14]Lequan Yu, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images. AAAI 2017: 66-72 - [c13]Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng:
Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images. AAAI 2017: 1633-1639 - [c12]Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng:
Class-Balanced Deep Neural Network for Automatic Ventricular Structure Segmentation. STACOM@MICCAI 2017: 152-160 - [c11]Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng:
3D Convolutional Networks for Fully Automatic Fine-Grained Whole Heart Partition. STACOM@MICCAI 2017: 181-189 - [c10]Xiaowei Hu, Lequan Yu, Hao Chen, Jing Qin, Pheng-Ann Heng:
AGNet: Attention-Guided Network for Surgical Tool Presence Detection. DLMIA/ML-CDS@MICCAI 2017: 186-194 - [c9]Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng:
Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing. STACOM@MICCAI 2017: 215-223 - [c8]Guodong Zeng, Xin Yang, Jing Li, Lequan Yu, Pheng-Ann Heng, Guoyan Zheng:
3D U-net with Multi-level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR Images. MLMI@MICCAI 2017: 274-282 - [c7]Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets. MICCAI (2) 2017: 287-295 - [c6]Xin Yang, Lequan Yu, Shengli Li, Xu Wang, Na Wang, Jing Qin, Dong Ni, Pheng-Ann Heng:
Towards Automatic Semantic Segmentation in Volumetric Ultrasound. MICCAI (1) 2017: 711-719 - [p1]Hao Chen, Qi Dou, Lequan Yu, Jing Qin, Lei Zhao, Vincent C. T. Mok, Defeng Wang, Lin Shi, Pheng-Ann Heng:
Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images. Deep Learning for Medical Image Analysis 2017: 133-154 - [i5]Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets. CoRR abs/1708.00573 (2017) - 2016
- [j1]Qi Dou, Hao Chen, Lequan Yu, Lei Zhao, Jing Qin, Defeng Wang, Vincent C. T. Mok, Lin Shi, Pheng-Ann Heng:
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks. IEEE Trans. Medical Imaging 35(5): 1182-1195 (2016) - [c5]Hao Chen, Xiaojuan Qi, Lequan Yu, Pheng-Ann Heng:
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation. CVPR 2016: 2487-2496 - [c4]Lequan Yu, Xin Yang, Jing Qin, Pheng-Ann Heng:
3D FractalNet: Dense Volumetric Segmentation for Cardiovascular MRI Volumes. RAMBO+HVSMR@MICCAI 2016: 103-110 - [c3]Qi Dou, Hao Chen, Yueming Jin, Lequan Yu, Jing Qin, Pheng-Ann Heng:
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes. MICCAI (2) 2016: 149-157 - [i4]Hao Chen, Xiaojuan Qi, Lequan Yu, Pheng-Ann Heng:
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation. CoRR abs/1604.02677 (2016) - [i3]Qi Dou, Hao Chen, Yueming Jin, Lequan Yu, Jing Qin, Pheng-Ann Heng:
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes. CoRR abs/1607.00582 (2016) - [i2]Hao Chen, Qi Dou, Lequan Yu, Pheng-Ann Heng:
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation. CoRR abs/1608.05895 (2016) - [i1]Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng:
Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images. CoRR abs/1612.01655 (2016) - 2015
- [c2]Qi Dou, Hao Chen, Lequan Yu, Lin Shi, Defeng Wang, Vincent C. T. Mok, Pheng-Ann Heng:
Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features. EMBC 2015: 7933-7936 - [c1]Hao Chen, Lequan Yu, Qi Dou, Lin Shi, Vincent C. T. Mok, Pheng-Ann Heng:
Automatic detection of cerebral microbleeds via deep learning based 3D feature representation. ISBI 2015: 764-767
Coauthor Index
[j46] [c68] [i76] [j40] [j32] [j30] [i45] [i39] [j25] [j24] [j22] [i37] [i34] [j21] [j19] [j18] [j17] [j16] [j14] [j13] [c30] [c29] [c27] [c26] [i31] [i30] [i29] [i26] [i25] [i22] [i21] [i20] [j12] [j11] [j10] [c23] [c22] [c21] [c20] [c19] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [j9] [j8] [c18] [c17] [c16] [c15] [i10] [i9] [i8] [i7] [j7] [j6] [j5] [j4] [j3] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [p1] [i5] [j1] [c5] [c4] [c3] [i4] [i3] [i2] [i1] [c2] [c1]
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