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2020 – today
- 2024
[j44]Chong Du, Sibo Wang
, Xinying Shi, Peng Jing, Hao Wang, Liansheng Wang:
Identification of senescence related hub genes and potential therapeutic compounds for dilated cardiomyopathy via comprehensive transcriptome analysis. Comput. Biol. Medicine 179: 108901 (2024)- [j43]Hong Liu, Dong Wei, Donghuan Lu, Xiaoying Tang, Liansheng Wang, Yefeng Zheng:
Simultaneous alignment and surface regression using hybrid 2D-3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations. Medical Image Anal. 91: 103019 (2024) - [j42]Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng:
Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance correction. Medical Image Anal. 93: 103102 (2024) - [j41]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) - [j40]Jiacheng Wang, Yueming Jin, Danail Stoyanov, Liansheng Wang:
FedDP: Dual Personalization in Federated Medical Image Segmentation. IEEE Trans. Medical Imaging 43(1): 297-308 (2024) - [j39]Yuxi Ma, Jiacheng Wang, Jing Yang, Liansheng Wang:
Model-Heterogeneous Semi-Supervised Federated Learning for Medical Image Segmentation. IEEE Trans. Medical Imaging 43(5): 1804-1815 (2024) - [c67]Qian Dai, Dong Wei, Hong Liu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation. AAAI 2024: 1445-1453 - [c66]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 - [c65]Hao Li, Ying Chen, Yifei Chen, Rongshan Yu, Wenxian Yang, Liansheng Wang, Bowen Ding, Yuchen Han:
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction. CVPR 2024: 11398-11407 - [c64]Qichang Chen, Zhonghang Zhu, Lianxin Wang, Liansheng Wang:
Shifted-Rectangle-Window Based Transformer for non-Displaced Femoral Neck Fracture Diagnosis. ICASSP 2024: 2205-2209 - [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]Yihuang Hu, Qiong Peng, Zhicheng Du, Guojun Zhang, Huisi Wu, Jingxin Liu, Hao Chen, Liansheng Wang:
Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model. MICCAI (3) 2024: 67-76 - [c61]Zhengrui Guo, Jiabo Ma, Yingxue Xu, Yihui Wang, Liansheng Wang, Hao Chen:
HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-Modal Context Interaction. MICCAI (4) 2024: 189-199 - [c60]Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Hao Zheng, Yefeng Zheng, Liansheng Wang:
Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets. MICCAI (9) 2024: 372-382 - [c59]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 - [i38]Chenyu Lian, Hong-Yu Zhou, Yizhou Yu, Liansheng Wang:
Less Could Be Better: Parameter-efficient Fine-tuning Advances Medical Vision Foundation Models. CoRR abs/2401.12215 (2024) - [i37]Hao Li, Ying Chen, Yifei Chen, Wenxian Yang, Bowen Ding, Yuchen Han, Liansheng Wang, Rongshan Yu:
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction. CoRR abs/2402.19326 (2024) - [i36]Zhengrui Guo, Jiabo Ma, Yingxue Xu, Yihui Wang, Liansheng Wang, Hao Chen:
HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction. CoRR abs/2403.05396 (2024) - [i35]Qian Dai, Dong Wei, Hong Liu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation. CoRR abs/2403.11803 (2024) - [i34]Haoyue Song, Jiacheng Wang, Liansheng Wang:
Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting in Serial Federated Learning. CoRR abs/2405.10647 (2024) - [i33]Junhao Lin, Lei Zhu, Jiaxing Shen, Huazhu Fu, Qing Zhang, Liansheng Wang:
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection. CoRR abs/2406.12536 (2024) - [i32]Runsheng Liu, Hao Jiang, Yanning Zhou, Huangjing Lin, Liansheng Wang, Hao Chen:
GAInS: Gradient Anomaly-aware Biomedical Instance Segmentation. CoRR abs/2409.13988 (2024) - 2023
- [j38]Xu Zhu, Lili Zhao, Lihong Huang, Wenxian Yang, Liansheng Wang, Rongshan Yu:
cgMSI: pathogen detection within species from nanopore metagenomic sequencing data. BMC Bioinform. 24(1): 387 (2023) - [j37]Xiaosen Li, Xiao Qin, Chengliang Huang, Yuer Lu, Jinyan Cheng, Liansheng Wang, Ou Liu, Jianwei Shuai, Chang-an Yuan:
SUnet: A multi-organ segmentation network based on multiple attention. Comput. Biol. Medicine 167: 107596 (2023) - [j36]Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend G. A. Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime C. Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, Guibin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy:
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. Medical Image Anal. 86: 102803 (2023) - [j35]Liansheng Wang, Jiacheng Wang, Lei Zhu, Huazhu Fu, Ping Li, Gary Cheng, Zhipeng Feng, Shuo Li, Pheng-Ann Heng:
Dual Multiscale Mean Teacher Network for Semi-Supervised Infection Segmentation in Chest CT Volume for COVID-19. IEEE Trans. Cybern. 53(10): 6363-6375 (2023) - [j34]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) - [j33]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) - [j32]Jiacheng Wang, Fei Chen, Yuxi Ma, Liansheng Wang, Zhaodong Fei, Jianwei Shuai, Xiangdong Tang, Qichao Zhou, Jing Qin:
XBound-Former: Toward Cross-Scale Boundary Modeling in Transformers. IEEE Trans. Medical Imaging 42(6): 1735-1745 (2023) - [j31]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) - [j30]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]Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities. AAAI 2023: 1657-1665 - [c57]Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu:
Advancing Radiograph Representation Learning with Masked Record Modeling. ICLR 2023 - [c56]Fei Chen, Jiacheng Wang, Baptiste Magnier, Wei Xue, Shaohui Huang, Liansheng Wang:
G2LL: Global-To-Local Self-Supervised Learning for Label-Efficient Transformer-Based Skin Lesion Segmentation in Dermoscopy Images. ISBI 2023: 1-5 - [c55]Lianyu Zhou, Dong Wei, Donghuan Lu, Wei Xue, Liansheng Wang, Yefeng Zheng:
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training. ISBI 2023: 1-4 - [c54]Yuchen Tian, Jiacheng Wang, Yueming Jin, Liansheng Wang:
Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 14-24 - [c53]Yinghao Zhang, Donghuan Lu, Munan Ning, Liansheng Wang, Dong Wei, Yefeng Zheng:
A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images. MICCAI (3) 2023: 232-241 - [c52]Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng:
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray. MICCAI (1) 2023: 363-373 - [c51]Jiacheng Wang, Jing Yang, Qichao Zhou, Liansheng Wang:
Medical Boundary Diffusion Model for Skin Lesion Segmentation. MICCAI (4) 2023: 427-436 - [c50]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 - [c49]Junhao Lin, Qian Dai, Lei Zhu, Huazhu Fu, Qiong Wang, Weibin Li, Wenhao Rao, Xiaoyang Huang, Liansheng Wang:
Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos. MICCAI (3) 2023: 497-507 - [c48]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 - [c47]Qian Dai, Junhao Lin, Weibin Li, Liansheng Wang:
A Real-Time Network for Fast Breast Lesion Detection in Ultrasound Videos. PRCV (13) 2023: 40-50 - [i31]Hong-Yu Zhou, Chixiang Lu, Liansheng Wang, Yizhou Yu:
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis. CoRR abs/2301.04410 (2023) - [i30]Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu:
Advancing Radiograph Representation Learning with Masked Record Modeling. CoRR abs/2301.13155 (2023) - [i29]Lianyu Zhou, Dong Wei, Donghuan Lu, Wei Xue, Liansheng Wang, Yefeng Zheng:
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training. CoRR abs/2303.00205 (2023) - [i28]Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities. CoRR abs/2303.05302 (2023) - [i27]Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng:
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray. CoRR abs/2307.09184 (2023) - [i26]Junhao Lin, Qian Dai, Lei Zhu, Huazhu Fu, Qiong Wang, Weibin Li, Wenhao Rao, Xiaoyang Huang, Liansheng Wang:
Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos. CoRR abs/2310.01861 (2023) - [i25]Hong Liu, Dong Wei, Donghuan Lu, Xiaoying Tang, Liansheng Wang, Yefeng Zheng:
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retinal OCT Images with Full and Sparse Annotations. CoRR abs/2312.01726 (2023) - 2022
- [j29]Chenyu Lian, Xiaomeng Li, Lingke Kong, Jiacheng Wang, Wei Zhang, Xiaoyang Huang, Liansheng Wang:
CoCycleReg: Collaborative cycle-consistency method for multi-modal medical image registration. Neurocomputing 500: 799-808 (2022) - [j28]Jiacheng Wang, Yueming Jin, Shuntian Cai, Hongzhi Xu, Pheng-Ann Heng, Jing Qin, Liansheng Wang:
Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network. Medical Image Anal. 75: 102291 (2022) - [j27]Xiaoyu Chen, Hong-Yu Zhou, Feng Liu, Jiansen Guo, Liansheng Wang, Yizhou Yu:
MASS: Modality-collaborative semi-supervised segmentation by exploiting cross-modal consistency from unpaired CT and MRI images. Medical Image Anal. 80: 102506 (2022) - [j26]Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang, Ruibang Luo, Liansheng Wang, Yizhou Yu:
Generalized radiograph representation learning via cross-supervision between images and free-text radiology reports. Nat. Mach. Intell. 4(1): 32-40 (2022) - [j25]Liansheng Wang, Lianyu Zhou, Wenxian Yang, Rongshan Yu:
Deepfakes: A new threat to image fabrication in scientific publications? Patterns 3(5): 100509 (2022) - [j24]Xiaoyang Huang, Zhi Lin, Yudi Jiao, Moon-Tong Chan, Shaohui Huang, Liansheng Wang:
Two-Stage Segmentation Framework Based on Distance Transformation. Sensors 22(1): 250 (2022) - [j23]Zhenyu Lin, Wenjie Cai, Wentai Hou, Yayuan Chen, Bingzong Gao, Runzhi Mao, Liansheng Wang, Zirong Li:
CT-Guided Survival Prediction of Esophageal Cancer. IEEE J. Biomed. Health Informatics 26(6): 2660-2669 (2022) - [j22]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) - [j21]Hong-Yu Zhou, Chixiang Lu, Liansheng Wang, Yizhou Yu:
GraVIS: Grouping Augmented Views From Independent Sources for Dermatology Analysis. IEEE Trans. Medical Imaging 41(12): 3498-3508 (2022) - [c46]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 - [c45]Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning. AAAI 2022: 2307-2315 - [c44]Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang, Qichao Zhou:
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation. AAAI 2022: 2459-2467 - [c43]Jiacheng Wang, Yueming Jin, Liansheng Wang:
Personalizing Federated Medical Image Segmentation via Local Calibration. ECCV (21) 2022: 456-472 - [c42]Jiacheng Wang, Yuxi Ma, Ruochen Mu, Liansheng Wang:
Boundry-Aware Pyramid Transformer For Polyp Segmentation. EndoCV@ISBI 2022: 9-13 - [c41]Yu Zhao, Zhenyu Lin, Kai Sun, Yidan Zhang, Junzhou Huang, Liansheng Wang, Jianhua Yao:
SETMIL: Spatial Encoding Transformer-Based Multiple Instance Learning for Pathological Image Analysis. MICCAI (2) 2022: 66-76 - [c40]Wei Wu, Zhonghang Zhu, Baptiste Magnier, Liansheng Wang:
Clustering-Based Multi-instance Learning Network for Whole Slide Image Classification. CMMCA@MICCAI 2022: 100-109 - [c39]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 - [c38]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 - [c37]Zhi Lin, Junhao Lin, Lei Zhu, Huazhu Fu, Jing Qin, Liansheng Wang:
A New Dataset and a Baseline Model for Breast Lesion Detection in Ultrasound Videos. MICCAI (3) 2022: 614-623 - [c36]Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng:
Lesion Guided Explainable Few Weak-Shot Medical Report Generation. MICCAI (5) 2022: 615-625 - [c35]Junhao Lin, Liansheng Wang:
Spatial-temporal Fusion Network for Fast Video Shadow Detection. VRCAI 2022: 2:1-2:5 - [i24]Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng:
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images. CoRR abs/2203.02390 (2022) - [i23]Shuxin Wang, Shilei Cao, Zhizhong Chai, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network. CoRR abs/2203.03640 (2022) - [i22]Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend G. A. Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime C. Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, Guibin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy:
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. CoRR abs/2204.04746 (2022) - [i21]Cong Xie, Hualuo Liu, Shilei Cao, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation. CoRR abs/2204.11090 (2022) - [i20]Jiacheng Wang, Fei Chen, Yuxi Ma, Liansheng Wang, Zhaodong Fei, Jianwei Shuai, Xiangdong Tang, Qichao Zhou, Jing Qin:
XBound-Former: Toward Cross-scale Boundary Modeling in Transformers. CoRR abs/2206.00806 (2022) - [i19]Zhi Lin, Junhao Lin, Lei Zhu, Huazhu Fu, Jing Qin, Liansheng Wang:
A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos. CoRR abs/2207.00141 (2022) - [i18]Jiacheng Wang, Yueming Jin, Liansheng Wang:
Personalizing Federated Medical Image Segmentation via Local Calibration. CoRR abs/2207.04655 (2022) - [i17]Jiansen Guo, Hong-Yu Zhou, Liansheng Wang, Yizhou Yu:
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture. CoRR abs/2210.15566 (2022) - [i16]Liansheng Wang, Jiacheng Wang, Lei Zhu, Huazhu Fu, Ping Li, Gary Cheng, Zhipeng Feng, Shuo Li, Pheng-Ann Heng:
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19. CoRR abs/2211.05548 (2022) - [i15]Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng:
Lesion Guided Explainable Few Weak-shot Medical Report Generation. CoRR abs/2211.08732 (2022) - 2021
- [j20]Lihong Huang, Bin Hong, Wenxian Yang, Liansheng Wang, Rongshan Yu:
Snipe: highly sensitive pathogen detection from metagenomic sequencing data. Briefings Bioinform. 22(5) (2021) - [j19]Huangjing Lin, Hao Chen, Xi Wang, Qiong Wang, Liansheng Wang, Pheng-Ann Heng:
Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis. Medical Image Anal. 69: 101955 (2021) - [j18]Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat P. Müller-Stich, Lena Maier-Hein:
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. Medical Image Anal. 70: 101920 (2021) - [j17]João Pedrosa, Guilherme Aresta, Carlos A. Ferreira, Gurraj Atwal, Hady Ahmady Phoulady, Xiaoyu Chen, Rongzhen Chen, Jiaoliang Li, Liansheng Wang, Adrian Galdran, Hamid Bouchachia, Krishna Chaitanya Kaluva, Kiran Vaidhya, Abhijith Chunduru, Sambit Tarai, Sai Prasad Pranav Nadimpalli, Suthirth Vaidya, Ildoo Kim, Alexandr G. Rassadin, Zhenhuan Tian, Zhongwei Sun, Yizhuan Jia, Xuejun Men, Isabel Ramos, António Cunha, Aurélio Campilho:
LNDb challenge on automatic lung cancer patient management. Medical Image Anal. 70: 102027 (2021) - [j16]Wentai Hou, Liansheng Wang, Shuntian Cai, Zhenyu Lin, Rongshan Yu, Jing Qin:
Early neoplasia identification in Barrett's esophagus via attentive hierarchical aggregation and self-distillation. Medical Image Anal. 72: 102092 (2021) - [j15]Liansheng Wang, Cong Xie, Yi Lin, Hong-Yu Zhou, Kailin Chen, Dalong Cheng, Florian Dubost, Benjamin Collery, Bidur Khanal, Bishesh Khanal, Rong Tao, Shangliang Xu, Upasana Upadhyay Bharadwaj, Zhusi Zhong, Jie Li, Shuxin Wang, Shuo Li:
Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge. Medical Image Anal. 72: 102115 (2021) - [j14]Liansheng Wang, Rongzhen Chen, Lei Zhu, Haoran Xie, Xiaomeng Li:
Deep Sub-Region Network for Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. 31(2): 728-741 (2021) - [c34]Shuxin Wang, Shilei Cao, Dong Wei, Cong Xie, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng:
Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective. AAAI 2021: 634-642 - [c33]Cong Xie, Hualuo Liu, Shilei Cao, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation. ISBI 2021: 38-41 - [c32]Zihan Wu, Rongbo Shen, Junzhou Huang, Liansheng Wang, Jianhua Yao:
Strongly Supervised Mitosis Detection In Breast Histopathology Images Using Weak Labels. ISBI 2021: 358-361 - [c31]Cong Xie, Shilei Cao, Dong Wei, Hongyu Zhou, Kai Ma, Xianli Zhang, Buyue Qian, Liansheng Wang, Yefeng Zheng:
Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation. ISBI 2021: 921-924 - [c30]Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng:
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images. MICCAI (8) 2021: 108-118 - [c29]Jiacheng Wang, Haojie Wang, Ruochen Mu, Liansheng Wang:
Cross-Domain Landmarks Detection in Mitral Regurgitation. DGM4MICCAI/DALI@MICCAI 2021: 134-141 - [c28]Hang Li, Fan Yang, Yu Zhao, Xiaohan Xing, Jun Zhang, Mingxuan Gao, Junzhou Huang, Liansheng Wang, Jianhua Yao:
DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image. MICCAI (8) 2021: 206-216 - [c27]Jiacheng Wang, Lan Wei, Liansheng Wang, Qichao Zhou, Lei Zhu, Jing Qin:
Boundary-Aware Transformers for Skin Lesion Segmentation. MICCAI (1) 2021: 206-216 - [c26]Jiacheng Wang, Yueming Jin, Liansheng Wang, Shuntian Cai, Pheng-Ann Heng, Jing Qin:
Efficient Global-Local Memory for Real-Time Instrument Segmentation of Robotic Surgical Video. MICCAI (4) 2021: 341-351 - [c25]Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification. MICCAI (5) 2021: 519-529 - [c24]Hang Li, Fan Yang, Xiaohan Xing, Yu Zhao, Jun Zhang, Yueping Liu, Mengxue Han, Junzhou Huang, Liansheng Wang, Jianhua Yao:
Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information. MICCAI (8) 2021: 529-539 - [i14]Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - [i13]Cong Xie, Shilei Cao, Dong Wei, Hongyu Zhou, Kai Ma, Xianli Zhang, Buyue Qian, Liansheng Wang, Yefeng Zheng:
RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation. CoRR abs/2107.08715 (2021) - [i12]Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Lequan Yu, Liansheng Wang, Yizhou Yu:
nnFormer: Interleaved Transformer for Volumetric Segmentation. CoRR abs/2109.03201 (2021) - [i11]Jiacheng Wang, Yueming Jin, Liansheng Wang, Shuntian Cai, Pheng-Ann Heng, Jing Qin:
Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video. CoRR abs/2109.13593 (2021) - [i10]Jiacheng Wang, Lan Wei, Liansheng Wang, Qichao Zhou, Lei Zhu, Jing Qin:
Boundary-aware Transformers for Skin Lesion Segmentation. CoRR abs/2110.03864 (2021) - [i9]Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification. CoRR abs/2110.04558 (2021) - [i8]Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang, Ruibang Luo, Liansheng Wang, Yizhou Yu:
Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports. CoRR abs/2111.03452 (2021) - [i7]Jiacheng Wang, Yueming Jin, Shuntian Cai, Hongzhi Xu, Pheng-Ann Heng, Jing Qin, Liansheng Wang:
Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network. CoRR abs/2111.04733 (2021) - [i6]Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang, Qichao Zhou:
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation. CoRR abs/2112.02743 (2021) - 2020
- [j13]Xinlin Zhang, Di Guo, Yiman Huang, Ying Chen, Liansheng Wang, Feng Huang, Qin Xu, Xiaobo Qu:
Image reconstruction with low-rankness and self-consistency of k-space data in parallel MRI. Medical Image Anal. 63: 101687 (2020) - [j12]Liansheng Wang, Yudi Jiao, Ying Qiao, Nianyin Zeng, Rongshan Yu:
A novel approach combined transfer learning and deep learning to predict TMB from histology image. Pattern Recognit. Lett. 135: 244-248 (2020) - [j11]Shuxin Wang, Shilei Cao, Zhizhong Chai, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network. IEEE Trans. Medical Imaging 39(12): 4174-4185 (2020) - [c23]Zihan Wu, Xiaoyang Huang, Shaohui Huang, Xin Ding, Liansheng Wang:
Direct Prediction of BRAFV600E Mutation from Histopathological Images in Papillary Thyroid Carcinoma with a Deep Learning Workflow. CSAI 2020: 146-151 - [c22]Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng:
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation. CVPR 2020: 9159-9168 - [c21]Zhonghang Zhu, Xin Ding, Defu Zhang, Liansheng Wang:
Weakly-Supervised Balanced Attention Network for Gastric Pathology Image Localization and Classification. ISBI 2020: 1-4 - [c20]Haijian Chen, Chenyu Lian, Liansheng Wang:
Endoscopy Artefact Detection and Segmentation using Deep Convolutional Neural Network. EndoCV@ISBI 2020: 37-41 - [c19]Lei Zhu, Rongzhen Chen, Huazhu Fu, Cong Xie, Liansheng Wang, Liang Wan, Pheng-Ann Heng:
A Second-Order Subregion Pooling Network for Breast Lesion Segmentation in Ultrasound. MICCAI (6) 2020: 160-170 - [c18]Hang Li, Dong Wei, Shilei Cao, Kai Ma, Liansheng Wang, Yefeng Zheng:
Superpixel-Guided Label Softening for Medical Image Segmentation. MICCAI (4) 2020: 227-237 - [e1]Yunliang Cai, Liansheng Wang, Michel A. Audette, Guoyan Zheng, Shuo Li:
Computational Methods and Clinical Applications for Spine Imaging - 6th International Workshop and Challenge, CSI@MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11963, Springer 2020, ISBN 978-3-030-39751-7 [contents] - [i5]Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng:
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation. CoRR abs/2003.07072 (2020) - [i4]Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat Peter Müller-Stich, Lena Maier-Hein:
Robust Medical Instrument Segmentation Challenge 2019. CoRR abs/2003.10299 (2020) - [i3]Hang Li, Dong Wei, Shilei Cao, Kai Ma, Liansheng Wang, Yefeng Zheng:
Superpixel-Guided Label Softening for Medical Image Segmentation. CoRR abs/2007.08897 (2020)
2010 – 2019
- 2019
- [j10]Liansheng Wang, Cong Xie, Nianyin Zeng:
RP-Net: A 3D Convolutional Neural Network for Brain Segmentation From Magnetic Resonance Imaging. IEEE Access 7: 39670-39679 (2019) - [j9]Liansheng Wang, Rongzhen Chen, Shuxin Wang, Nianyin Zeng, Xiaoyang Huang, Changhua Liu:
Nested Dilation Network (NDN) for Multi-Task Medical Image Segmentation. IEEE Access 7: 44676-44685 (2019) - [j8]Bo Chen, Qiuhao Xu, Liansheng Wang, Stephanie Leung, Jonathan Chung, Shuo Li:
An Automated and Accurate Spine Curve Analysis System. IEEE Access 7: 124596-124605 (2019) - [j7]Liansheng Wang, Qiuhao Xu, Stephanie Leung, Jonathan Chung, Bo Chen, Shuo Li:
Accurate automated Cobb angles estimation using multi-view extrapolation net. Medical Image Anal. 58 (2019) - [c17]Shuxin Wang, Shaohui Huang, Liansheng Wang:
Spinal Curve Guide Network (SCG-Net) for Accurate Automated Spinal Curvature Estimation. CSI@MICCAI 2019: 107-112 - [c16]Jiacheng Wang, Liansheng Wang, Changhua Liu:
A Multi-task Learning Method for Direct Estimation of Spinal Curvature. CSI@MICCAI 2019: 113-118 - 2018
- [c15]Liansheng Wang, Weiqi Wu, Yiping Chen, Changhua Liu:
An ADMM-net Solution to Inverse Problem of Electrocardiology. ICSAI 2018: 565-569 - [c14]Liansheng Wang, Qiuhao Xu, Shuo Li:
Utility Balanced Classification for Automatic Electronic Medical Record Analysis. ICSAI 2018: 1093-1098 - [c13]Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng:
ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image. WACV 2018: 539-546 - 2017
- [j6]Kelvin Kian Loong Wong, Liansheng Wang, Defeng Wang:
Recent developments in machine learning for medical imaging applications. Comput. Medical Imaging Graph. 57: 1-3 (2017) - [j5]Liansheng Wang, Shusheng Li, Rong-Zhen Chen, Sze-Yu Liu, Jyh-Cheng Chen:
A segmentation and classification scheme for single tooth in MicroCT images based on 3D level set and k-means++. Comput. Medical Imaging Graph. 57: 19-28 (2017) - [j4]Yiping Chen, Liansheng Wang:
Broken and degraded document images binarization. Neurocomputing 237: 272-280 (2017) - [c12]Liansheng Wang, Yuanxu Wang, Yiping Chen, Changhua Liu, Xiaoliang Fan:
Prediction of lymphocytosis using machine learning algorithm based on checkup data. ICSAI 2017: 649-654 - [c11]Chenhui Yang, Qi Qiu, Chaoqun Hou, Jane Yang, Liansheng Wang:
A coupled feature representation based MRI biomarker for Alzheimer's disease prediction. ICSAI 2017: 726-731 - [c10]Liansheng Wang, Shusheng Li, Yiping Chen, Jiankun Lin, Changhua Liu, Xiantong Zeng, Shuo Li:
Direct aneurysm volume estimation by multi-view semi-supervised manifold learning. ISBI 2017: 1222-1225 - [c9]Shusheng Li, Liansheng Wang, Shuo Li:
Volume calculation of CT lung lesions based on Halton low-discrepancy sequences. Medical Imaging: Computer-Aided Diagnosis 2017: 101343V - [i2]Liansheng Wang, Shusheng Li, Shuo Li:
Volume Calculation of CT lung Lesions based on Halton Low-discrepancy Sequences. CoRR abs/1706.01644 (2017) - [i1]Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng:
ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images. CoRR abs/1707.09597 (2017) - 2016
- [j3]Li Liu, Liansheng Wang, Lingjun Zhao, Paul W. Fieguth:
Random projections and Single BoW for fast and Robust texture segmentation. Inf. Sci. 370-371: 428-445 (2016) - [c8]Liansheng Wang, Shusheng Li, Yiping Chen, Jiankun Lin, Changhua Liu:
Structure Fusion for Automatic Segmentation of Left Atrial Aneurysm Based on Deep Residual Networks. MLMI@MICCAI 2016: 262-270 - [c7]Liansheng Wang, Yuanqing Xia:
Uncertain parameters identification based on hierarchical adaptive filters during Mars entry. VSS 2016: 373-378 - 2015
- [j2]Liansheng Wang, Yuanqing Xia:
Mars Entry Navigation With Uncertain Parameters Based on Desensitized Extended Kalman Filter. IEEE Trans. Ind. Informatics 11(5): 998-1005 (2015) - [c6]Liansheng Wang, Xinyue Li, Yiping Chen, Jing Qin:
Application of L0-Norm Regularization to Epicardial Potential Reconstruction. MICCAI (2) 2015: 493-500 - 2014
- [c5]Liansheng Wang, Huangjing Lin, Xiaoyang Huang, Boliang Wang, Yiping Chen:
A 3D Segmentation and Visualization Scheme for Solid and Non-solid Lung Lesions Based on Gaussian Filtering Regularized Level Set. 3DV (Workshops) 2014: 67-74 - [c4]Liansheng Wang, Yiping Chen, Huangjing Lin, Dong Ni:
Noninvasive Electrocardiographic Imaging of Cardiac Arrhythmias: Enhance the Diagnosis of Bundle Branch Block. CLIP@MICCAI 2014: 68-75 - 2010
- [c3]Yiping Chen, Liansheng Wang, Lin Shi, Defeng Wang, Pheng-Ann Heng, Tien-Tsin Wong, Xiang Li:
Structure-preserving multiscale vessel enhancing diffusion filter. ICIP 2010: 3565-3568
2000 – 2009
- 2008
- [j1]Xuemiao Xu, Liang Wan, Xiaopei Liu, Tien-Tsin Wong, Liansheng Wang, Chi-Sing Leung:
Animating animal motion from still. ACM Trans. Graph. 27(5): 117 (2008) - [c2]Liansheng Wang, Pheng-Ann Heng, Tien-Tsin Wong:
Estimation of the Current Density in a Dynamic Heart Model and Visualization of Its Propagation. MIAR 2008: 116-123 - 2006
- [c1]Liansheng Wang, Xucan Chen, Sikun Li, Xun Cai:
General Adaptive Transfer Functions Design for Volume Rendering by Using Neural Networks. ICONIP (2) 2006: 661-670
Coauthor Index
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