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Le Lu 0001
Person information
- affiliation: Alibaba Group, DAMO Academy, Hangzhou, China
- affiliation (former): National Institutes of Health, Bethesda, MD, USA
- affiliation (former): PAII Inc., Bethesda Research Lab. Bethesda, MD, USA
- affiliation (former, PhD): Johns Hopkins University, Baltimore, USA
Other persons with the same name
- Le Lu
- Le Lu 0002 — Nanjing University, China
- Le Lu 0003 — University of California, San Diego, La Jolla, CA, USA
- Le Lu 0004 — Xidian University, Xi'an, Shaanxi Province, China
- Le Lu 0005 — Nanyang Technological University, Singapore
- Le Lu 0006 — Tsinghua University, Beijing, China
- Le Lu 0007 — Soochow University, China
- Le Lu 0008 — Shandong University of Finance and Economics, School of Accountancy, China
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2020 – today
- 2024
- [j31]Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Shaoting Zhang, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou:
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. Medical Image Anal. 97: 103280 (2024) - [j30]Zhentao Tan, Yue Wu, Qiankun Liu, Qi Chu, Le Lu, Jieping Ye, Nenghai Yu:
Exploring the Application of Large-Scale Pre-Trained Models on Adverse Weather Removal. IEEE Trans. Image Process. 33: 1683-1698 (2024) - [j29]Zihan Li, Yunxiang Li, Qingde Li, Puyang Wang, Dazhou Guo, Le Lu, Dakai Jin, You Zhang, Qingqi Hong:
LViT: Language Meets Vision Transformer in Medical Image Segmentation. IEEE Trans. Medical Imaging 43(1): 96-107 (2024) - [c148]Tony C. W. Mok, Zi Li, Yunhao Bai, Jianpeng Zhang, Wei Liu, Yan-Jie Zhou, Ke Yan, Dakai Jin, Yu Shi, Xiaoli Yin, Le Lu, Ling Zhang:
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration. CVPR 2024: 11215-11225 - [c147]Weiwei Cao, Jianpeng Zhang, Yingda Xia, Tony C. W. Mok, Zi Li, Xianghua Ye, Le Lu, Jian Zheng, Yuxing Tang, Ling Zhang:
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-Ray Expert Models. CVPR 2024: 11238-11247 - [c146]Wei Fang, Yuxing Tang, Heng Guo, Mingze Yuan, Tony C. W. Mok, Ke Yan, Jiawen Yao, Xin Chen, Zaiyi Liu, Le Lu, Ling Zhang, Minfeng Xu:
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. CVPR 2024: 11631-11641 - [c145]Qinji Yu, Yirui Wang, Ke Yan, Haoshen Li, Dazhou Guo, Li Zhang, Na Shen, Qifeng Wang, Xiaowei Ding, Le Lu, Xianghua Ye, Dakai Jin:
Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer. ECCV (42) 2024: 180-198 - [c144]Zhentao Tan, Xiaodan Li, Yue Wu, Qi Chu, Le Lu, Nenghai Yu, Jieping Ye:
Boosting Vanilla Lightweight Vision Transformers via Re-parameterization. ICLR 2024 - [c143]Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye:
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. ICML 2024 - [c142]Fenqiang Zhao, Yuxing Tang, Le Lu, Ling Zhang:
A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation. MICCAI (9) 2024: 13-22 - [c141]Chunli Li, Xiaoming Zhang, Yuan Gao, Xiaoli Yin, Le Lu, Ling Zhang, Ke Yan, Yu Shi:
Improved Esophageal Varices Assessment from Non-contrast CT Scans. MICCAI (5) 2024: 349-359 - [c140]Vince Zhu, Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Yingda Xia, Le Lu, Xianghua Ye, Wei Zhu, Dakai Jin:
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation. MICCAI (8) 2024: 371-381 - [c139]Wei Huang, Wei Liu, Xiaoming Zhang, Xiaoli Yin, Xu Han, Chunli Li, Yuan Gao, Yu Shi, Le Lu, Ling Zhang, Lei Zhang, Ke Yan:
LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning. MICCAI (9) 2024: 394-404 - [c138]Bizhe Bai, Yan-Jie Zhou, Yujian Hu, Tony C. W. Mok, Yilang Xiang, Le Lu, Hongkun Zhang, Minfeng Xu:
Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-contrast CT Scans. MICCAI (1) 2024: 493-503 - [c137]Qinji Yu, Yirui Wang, Ke Yan, Le Lu, Na Shen, Xianghua Ye, Xiaowei Ding, Dakai Jin:
Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-Slice Query Contrastive Learning. MICCAI (5) 2024: 616-626 - [c136]Haoshen Li, Yirui Wang, Jie Zhu, Dazhou Guo, Qinji Yu, Ke Yan, Le Lu, Xianghua Ye, Li Zhang, Qifeng Wang, Dakai Jin:
Semi-supervised Lymph Node Metastasis Classification with Pathology-Guided Label Sharpening and Two-Streamed Multi-scale Fusion. MICCAI (11) 2024: 623-633 - [i133]Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo:
M2Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction. CoRR abs/2401.07854 (2024) - [i132]Tianxiang Chen, Zhentao Tan, Tao Gong, Qi Chu, Yue Wu, Bin Liu, Le Lu, Jieping Ye, Nenghai Yu:
Bootstrapping Audio-Visual Segmentation by Strengthening Audio Cues. CoRR abs/2402.02327 (2024) - [i131]Tony C. W. Mok, Zi Li, Yunhao Bai, Jianpeng Zhang, Wei Liu, Yan-Jie Zhou, Ke Yan, Dakai Jin, Yu Shi, Xiaoli Yin, Le Lu, Ling Zhang:
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration. CoRR abs/2402.18933 (2024) - [i130]Heng Guo, Jianfeng Zhang, Jiaxing Huang, Tony C. W. Mok, Dazhou Guo, Ke Yan, Le Lu, Dakai Jin, Minfeng Xu:
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT Scans. CoRR abs/2403.15063 (2024) - [i129]Qinji Yu, Yirui Wang, Ke Yan, Haoshen Li, Dazhou Guo, Li Zhang, Le Lu, Na Shen, Qifeng Wang, Xiaowei Ding, Xianghua Ye, Dakai Jin:
Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer. CoRR abs/2404.03819 (2024) - [i128]Wei Fang, Yuxing Tang, Heng Guo, Mingze Yuan, Tony C. W. Mok, Ke Yan, Jiawen Yao, Xin Chen, Zaiyi Liu, Le Lu, Ling Zhang, Minfeng Xu:
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. CoRR abs/2404.04878 (2024) - [i127]Weiwei Cao, Jianpeng Zhang, Yingda Xia, Tony C. W. Mok, Zi Li, Xianghua Ye, Le Lu, Jian Zheng, Yuxing Tang, Ling Zhang:
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models. CoRR abs/2404.04936 (2024) - [i126]Jingyang Lin, Yingda Xia, Jianpeng Zhang, Ke Yan, Le Lu, Jiebo Luo, Ling Zhang:
CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios. CoRR abs/2404.15272 (2024) - [i125]Guangyu Guo, Jiawen Yao, Yingda Xia, Tony C. W. Mok, Zhilin Zheng, Junwei Han, Le Lu, Dingwen Zhang, Jian Zhou, Ling Zhang:
Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports. CoRR abs/2405.14230 (2024) - [i124]Yujian Hu, Yilang Xiang, Yan-Jie Zhou, Yangyan He, Shifeng Yang, Xiaolong Du, Chunlan Den, Youyao Xu, Gaofeng Wang, Zhengyao Ding, Jingyong Huang, Wenjun Zhao, Xuejun Wu, Donglin Li, Qianqian Zhu, Zhenjiang Li, Chenyang Qiu, Ziheng Wu, Yunjun He, Chen Tian, Yihui Qiu, Zuodong Lin, Xiaolong Zhang, Yuan He, Zhenpeng Yuan, Xiaoxiang Zhou, Rong Fan, Ruihan Chen, Wenchao Guo, Jianpeng Zhang, Tony C. W. Mok, Zi Li, Le Lu, Dehai Lang, Xiaoqiang Li, Guofu Wang, Wei Lu, Zhengxing Huang, Minfeng Xu, Hongkun Zhang:
Rapid and Accurate Diagnosis of Acute Aortic Syndrome using Non-contrast CT: A Large-scale, Retrospective, Multi-center and AI-based Study. CoRR abs/2406.15222 (2024) - [i123]Bizhe Bai, Yan-Jie Zhou, Yujian Hu, Tony C. W. Mok, Yilang Xiang, Le Lu, Hongkun Zhang, Minfeng Xu:
Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans. CoRR abs/2407.11529 (2024) - [i122]Chunli Li, Xiaoming Zhang, Yuan Gao, Xiaoli Yin, Le Lu, Ling Zhang, Ke Yan, Yu Shi:
Improved Esophageal Varices Assessment from Non-Contrast CT Scans. CoRR abs/2407.13210 (2024) - [i121]Wei Huang, Wei Liu, Xiaoming Zhang, Xiaoli Yin, Xu Han, Chunli Li, Yuan Gao, Yu Shi, Le Lu, Ling Zhang, Lei Zhang, Ke Yan:
LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning. CoRR abs/2407.13217 (2024) - [i120]Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye:
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. CoRR abs/2409.01658 (2024) - 2023
- [j28]Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao:
Lumbar Bone Mineral Density Estimation From Chest X-Ray Images: Anatomy-Aware Attentive Multi-ROI Modeling. IEEE Trans. Medical Imaging 42(1): 257-267 (2023) - [c135]Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang:
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. CVPR 2023: 23879-23889 - [c134]Yankai Jiang, Mingze Sun, Heng Guo, Xiaoyu Bai, Ke Yan, Le Lu, Minfeng Xu:
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis. ICCV 2023: 15813-15823 - [c133]Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin:
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans. ICCV 2023: 21083-21094 - [c132]Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang:
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. ICCV 2023: 21270-21281 - [c131]Bo Zhou, Yingda Xia, Jiawen Yao, Le Lu, Jingren Zhou, Chi Liu, James S. Duncan, Ling Zhang:
Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT. IPMI 2023: 119-131 - [c130]Lin Zhao, Hexin Dong, Ping Wu, Jiaying Lu, Le Lu, Jingren Zhou, Tianming Liu, Li Zhang, Ling Zhang, Yuxing Tang, Chuantao Zuo:
MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with 18F-FDG PET. IPMI 2023: 132-144 - [c129]Zhishan Jiang, Ke Yan, Le Lu, Minfeng Xu:
Div-Attention: A Plug-and-Play Module for 3D Medical Image Segmentation. ISBI 2023: 1-4 - [c128]Fan Bai, Ke Yan, Xiaoyu Bai, Xinyu Mao, Xiaoli Yin, Jingren Zhou, Yu Shi, Le Lu, Max Q.-H. Meng:
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation. MICCAI (2) 2023: 14-24 - [c127]Ke Yan, Xiaoli Yin, Yingda Xia, Fakai Wang, Shu Wang, Yuan Gao, Jiawen Yao, Chunli Li, Xiaoyu Bai, Jingren Zhou, Ling Zhang, Le Lu, Yu Shi:
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network. MICCAI (5) 2023: 72-82 - [c126]Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo:
M2Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 125-134 - [c125]Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang:
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. MICCAI (5) 2023: 146-156 - [c124]Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang:
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists. MICCAI (5) 2023: 199-209 - [c123]Yan-Jie Zhou, Wei Liu, Yuan Gao, Jing Xu, Le Lu, Yuping Duan, Hao Cheng, Na Jin, Xiaoyong Man, Shuang Zhao, Yu Wang:
A Novel Multi-task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images. MICCAI (6) 2023: 202-212 - [c122]Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Zaiyi Liu, Li Zhang, Yu Shi, Ling Zhang:
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer. MICCAI (5) 2023: 241-251 - [c121]Ke Yan, Dakai Jin, Dazhou Guo, Minfeng Xu, Na Shen, Xian-Sheng Hua, Xianghua Ye, Le Lu:
Anatomy-Aware Lymph Node Detection in Chest CT Using Implicit Station Stratification. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 299-310 - [c120]Zi Li, Lin Tian, Tony C. W. Mok, Xiaoyu Bai, Puyang Wang, Jia Ge, Jingren Zhou, Le Lu, Xianghua Ye, Ke Yan, Dakai Jin:
SAMConvex: Fast Discrete Optimization for CT Registration Using Self-supervised Anatomical Embedding and Correlation Pyramid. MICCAI (10) 2023: 559-569 - [c119]Tony C. W. Mok, Zi Li, Yingda Xia, Jiawen Yao, Ling Zhang, Jingren Zhou, Le Lu:
Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization. MLMI@MICCAI (1) 2023: 126-136 - [c118]Puyang Wang, Panwen Hu, Jiali Liu, Hang Yu, Xianghua Ye, Jinliang Zhang, Hui Li, Li Yang, Le Lu, Dakai Jin, Feng-Ming (Spring) Kong:
Automated Coarse-to-Fine Segmentation of Thoracic Duct Using Anatomy Priors and Topology-Guided Curved Planar Reformation. MLMI@MICCAI (1) 2023: 237-246 - [i119]Zhilin Zheng, Xu Fang, Jiawen Yao, Mengmeng Zhu, Le Lu, Lingyun Huang, Jing Xiao, Yu Shi, Hong Lu, Jianping Lu, Ling Zhang, Chengwei Shao, Yun Bian:
A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging. CoRR abs/2301.01448 (2023) - [i118]Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang:
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. CoRR abs/2301.12291 (2023) - [i117]Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Jingren Zhou, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin:
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans. CoRR abs/2302.00162 (2023) - [i116]Yankai Jiang, Mingze Sun, Heng Guo, Ke Yan, Le Lu, Minfeng Xu:
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Segmentation. CoRR abs/2302.05615 (2023) - [i115]Bo Zhou, Yingda Xia, Jiawen Yao, Le Lu, Jingren Zhou, Chi Liu, James S. Duncan, Ling Zhang:
Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT. CoRR abs/2303.00942 (2023) - [i114]Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang:
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. CoRR abs/2304.00212 (2023) - [i113]Zhentao Tan, Yue Wu, Qiankun Liu, Qi Chu, Le Lu, Jieping Ye, Nenghai Yu:
Exploring the Application of Large-scale Pre-trained Models on Adverse Weather Removal. CoRR abs/2306.09008 (2023) - [i112]Puyang Wang, Dazhou Guo, Dandan Zheng, Minghui Zhang, Haogang Yu, Xin Sun, Jia Ge, Yun Gu, Le Lu, Xianghua Ye, Dakai Jin:
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning. CoRR abs/2306.09116 (2023) - [i111]Fakai Wang, Chi-Tung Cheng, Chien-Wei Peng, Ke Yan, Min Wu, Le Lu, Chien-Hung Liao, Ling Zhang:
A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans. CoRR abs/2306.16036 (2023) - [i110]Xiaoyu Bai, Fan Bai, Xiaofei Huo, Jia Ge, Tony C. W. Mok, Zi Li, Minfeng Xu, Jingren Zhou, Le Lu, Dakai Jin, Xianghua Ye, Jingjing Lu, Ke Yan:
Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images. CoRR abs/2307.03535 (2023) - [i109]Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang:
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. CoRR abs/2307.04525 (2023) - [i108]Ke Yan, Xiaoli Yin, Yingda Xia, Fakai Wang, Shu Wang, Yuan Gao, Jiawen Yao, Chunli Li, Xiaoyu Bai, Jingren Zhou, Ling Zhang, Le Lu, Yu Shi:
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network. CoRR abs/2307.08268 (2023) - [i107]Yan-Jie Zhou, Wei Liu, Yuan Gao, Jing Xu, Le Lu, Yuping Duan, Hao Cheng, Na Jin, Xiaoyong Man, Shuang Zhao, Yu Wang:
A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images. CoRR abs/2307.08308 (2023) - [i106]Zi Li, Lin Tian, Tony C. W. Mok, Xiaoyu Bai, Puyang Wang, Jia Ge, Jingren Zhou, Le Lu, Xianghua Ye, Ke Yan, Dakai Jin:
SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid. CoRR abs/2307.09727 (2023) - [i105]Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang:
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists. CoRR abs/2307.10824 (2023) - [i104]Ke Yan, Dakai Jin, Dazhou Guo, Minfeng Xu, Na Shen, Xian-Sheng Hua, Xianghua Ye, Le Lu:
Anatomy-Aware Lymph Node Detection in Chest CT using Implicit Station Stratification. CoRR abs/2307.15271 (2023) - [i103]Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Yu Shi, Ling Zhang:
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer. CoRR abs/2308.00507 (2023) - [i102]Fan Bai, Ke Yan, Xiaoyu Bai, Xinyu Mao, Xiaoli Yin, Jingren Zhou, Yu Shi, Le Lu, Max Q.-H. Meng:
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation. CoRR abs/2308.04911 (2023) - [i101]Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou:
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. CoRR abs/2310.07781 (2023) - [i100]Lin Tian, Zi Li, Fengze Liu, Xiaoyu Bai, Jia Ge, Le Lu, Marc Niethammer, Xianghua Ye, Ke Yan, Dakai Jin:
SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation. CoRR abs/2311.14986 (2023) - 2022
- [j27]Xiao-Shuang Li, Xiang Liu, Le Lu, Xian-Sheng Hua, Ying Chi, Kelin Xia:
Multiphysical graph neural network (MP-GNN) for COVID-19 drug design. Briefings Bioinform. 23(4) (2022) - [j26]Ethan H. Nguyen, Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo:
Circle Representation for Medical Object Detection. IEEE Trans. Medical Imaging 41(3): 746-754 (2022) - [j25]Ke Yan, Jinzheng Cai, Dakai Jin, Shun Miao, Dazhou Guo, Adam P. Harrison, Youbao Tang, Jing Xiao, Jingjing Lu, Le Lu:
SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images. IEEE Trans. Medical Imaging 41(10): 2658-2669 (2022) - [c117]Ashwin Raju, Shun Miao, Dakai Jin, Le Lu, Junzhou Huang, Adam P. Harrison:
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. AAAI 2022: 2135-2143 - [c116]Wei Zhu, Le Lu, Jing Xiao, Mei Han, Jiebo Luo, Adam P. Harrison:
Localized Adversarial Domain Generalization. CVPR 2022: 7098-7108 - [c115]Dazhou Guo, Jia Ge, Ke Yan, Puyang Wang, Zhuotun Zhu, Dandan Zheng, Xian-Sheng Hua, Le Lu, Tsung-Ying Ho, Xianghua Ye, Dakai Jin:
Thoracic Lymph Node Segmentation in CT Imaging via Lymph Node Station Stratification and Size Encoding. MICCAI (5) 2022: 55-65 - [c114]Jiawen Yao, Xianghua Ye, Yingda Xia, Jian Zhou, Yu Shi, Ke Yan, Fang Wang, Lili Lin, Haogang Yu, Xian-Sheng Hua, Le Lu, Dakai Jin, Ling Zhang:
Effective Opportunistic Esophageal Cancer Screening Using Noncontrast CT Imaging. MICCAI (3) 2022: 344-354 - [c113]Lisha Yao, Yingda Xia, Haochen Zhang, Jiawen Yao, Dakai Jin, Bingjiang Qiu, Yuan Zhang, Suyun Li, Yanting Liang, Xian-Sheng Hua, Le Lu, Xin Chen, Zaiyi Liu, Ling Zhang:
DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform. MICCAI (3) 2022: 564-573 - [c112]Jing Xu, Yuan Gao, Wei Liu, Kai Huang, Shuang Zhao, Le Lu, Xiaosong Wang, Xian-Sheng Hua, Yu Wang, Xiang Chen:
RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data. MICCAI (3) 2022: 624-633 - [i99]Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao:
Lumbar Bone Mineral Density Estimation from Chest X-ray Images: Anatomy-aware Attentive Multi-ROI Modeling. CoRR abs/2201.01838 (2022) - [i98]Wei Zhu, Le Lu, Jing Xiao, Mei Han, Jiebo Luo, Adam P. Harrison:
Localized Adversarial Domain Generalization. CoRR abs/2205.04114 (2022) - [i97]Zihan Li, Yunxiang Li, Qingde Li, You Zhang, Puyang Wang, Dazhou Guo, Le Lu, Dakai Jin, Qingqi Hong:
LViT: Language meets Vision Transformer in Medical Image Segmentation. CoRR abs/2206.14718 (2022) - [i96]Minfeng Xu, Heng Guo, Jianfeng Zhang, Ke Yan, Le Lu:
A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation. CoRR abs/2208.01382 (2022) - [i95]Heng Guo, Jianfeng Zhang, Ke Yan, Le Lu, Minfeng Xu:
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query Embedding. CoRR abs/2212.02014 (2022) - 2021
- [j24]Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu:
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy. Medical Image Anal. 68: 101909 (2021) - [j23]Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyska, Yuankai Huo:
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking. Medical Image Anal. 71: 102048 (2021) - [j22]Jiawen Yao, Yu Shi, Kai Cao, Le Lu, Jianping Lu, Qike Song, Gang Jin, Jing Xiao, Yang Hou, Ling Zhang:
DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imaging and tumor-vascular contact parsing. Medical Image Anal. 73: 102150 (2021) - [j21]Jinzheng Cai, Adam P. Harrison, Youjing Zheng, Ke Yan, Yuankai Huo, Jing Xiao, Lin Yang, Le Lu:
Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale. IEEE Trans. Medical Imaging 40(1): 59-70 (2021) - [j20]Yuhang Lu, Kang Zheng, Weijian Li, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Contour Transformer Network for One-Shot Segmentation of Anatomical Structures. IEEE Trans. Medical Imaging 40(10): 2672-2684 (2021) - [j19]Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youbao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu:
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT. IEEE Trans. Medical Imaging 40(10): 2759-2770 (2021) - [c111]Xinyu Zhang, Yirui Wang, Chi-Tung Cheng, Le Lu, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao:
Window Loss for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation. AAAI 2021: 724-732 - [c110]Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Shun Miao:
Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization. CVPR 2021: 5280-5288 - [c109]Tianyi Zhao, Kai Cao, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jing Xiao, Zhaozheng Yin, Ling Zhang:
3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management. CVPR 2021: 13743-13752 - [c108]Jinzheng Cai, Youbao Tang, Ke Yan, Adam P. Harrison, Jing Xiao, Gigin Lin, Le Lu:
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies. CVPR 2021: 15159-15169 - [c107]Yirui Wang, Kang Zheng, Chi-Tung Cheng, Xiao-Yun Zhou, Zhilin Zheng, Jing Xiao, Le Lu, Chien-Hung Liao, Shun Miao:
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-Rays. IPMI 2021: 599-610 - [c106]Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Lu, Ling Peng, Senxiang Yan, Dakai Jin:
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search. MICCAI (5) 2021: 3-12 - [c105]Kang Zheng, Yirui Wang, Xiao-Yun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Shun Miao:
Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images. MICCAI (5) 2021: 33-42 - [c104]Bolin Lai, Yuhsuan Wu, Xiaoyu Bai, Xiaoyun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam P. Harrison:
Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach. PRIME@MICCAI 2021: 47-58 - [c103]Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin:
SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings. MICCAI (4) 2021: 87-97 - [c102]Fakai Wang, Kang Zheng, Yirui Wang, Xiaoyun Zhou, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao:
Opportunistic Screening of Osteoporosis Using Plain Film Chest X-Ray. PRIME@MICCAI 2021: 138-146 - [c101]