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2020 – today
- 2024
[c24]Cheng Bian, Xiaoyu Li, Qi Bi
, Guangpu Zhu, Jiegeng Lyu, Weile Zhang, Yelei Li, Zijing Zeng:
Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure. AAAI 2024: 11087-11095- [i20]Cheng Bian, Xiaoyu Li, Qi Bi, Guangpu Zhu, Jiegeng Lyu, Weile Zhang, Yelei Li, Zijing Zeng:
Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure. CoRR abs/2402.17780 (2024) - 2023
- [j11]Qi Bi, Xu Sun, Shuang Yu, Kai Ma, Cheng Bian, Munan Ning, Nanjun He, Yawen Huang, Yuexiang Li, Hanruo Liu, Yefeng Zheng:
MIL-ViT: A multiple instance vision transformer for fundus image classification. J. Vis. Commun. Image Represent. 97: 103956 (2023) - [j10]Chaoqi Chen, Jiexiang Wang, Junwen Pan, Cheng Bian, Zhicheng Zhang:
GraphSKT: Graph-Guided Structured Knowledge Transfer for Domain Adaptive Lesion Detection. IEEE Trans. Medical Imaging 42(2): 507-518 (2023) - [c23]Wei Ji, Jingjing Li, Cheng Bian, Zongwei Zhou, Jiaying Zhao, Alan L. Yuille, Li Cheng:
Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline. CVPR 2023: 1094-1104 - [c22]Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu:
Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning. ICLR 2023 - [c21]Wei Ji, Jingjing Li, Cheng Bian, Zhicheng Zhang, Li Cheng:
SemanticRT: A Large-Scale Dataset and Method for Robust Semantic Segmentation in Multispectral Images. ACM Multimedia 2023: 3307-3316 - [i19]Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu:
Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling. CoRR abs/2301.13154 (2023) - 2022
- [j9]Wenting Chen, Shuang Yu, Kai Ma, Wei Ji, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng:
TW-GAN: Topology and width aware GAN for retinal artery/vein classification. Medical Image Anal. 77: 102340 (2022) - [j8]Cheng Bian, Chenglang Yuan, Kai Ma, Shuang Yu, Dong Wei, Yefeng Zheng:
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation. IEEE Trans. Medical Imaging 41(5): 1043-1056 (2022) - [c20]Junwen Pan, Qi Bi, Yanzhan Yang, Pengfei Zhu, Cheng Bian:
Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation. AAAI 2022: 2026-2034 - [c19]Zhixiong Yang, Junwen Pan, Yanzhan Yang, Xiaozhou Shi, Hong-Yu Zhou, Zhicheng Zhang, Cheng Bian:
ProCo: Prototype-Aware Contrastive Learning for Long-Tailed Medical Image Classification. MICCAI (8) 2022: 173-182 - [i18]Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Jaemin Son, Shuang Yu, Menglu Zhang, Chenglang Yuan, Cheng Bian, Baiying Lei, Benjian Zhao, Xinxing Xu, Shaohua Li, Francisco Fumero, José F. Sigut, Haidar Almubarak, Yakoub Bazi, Yuanhao Guo, Yating Zhou, Ujjwal Baid, Shubham Innani, Tianjiao Guo, Jie Yang, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment. CoRR abs/2202.08994 (2022) - [i17]Junwen Pan, Qi Bi, Yanzhan Yang, Pengfei Zhu, Cheng Bian:
Label-efficient Hybrid-supervised Learning for Medical Image Segmentation. CoRR abs/2203.05956 (2022) - [i16]Cheng Bian, Chenglang Yuan, Kai Ma, Shuang Yu, Dong Wei, Yefeng Zheng:
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation. CoRR abs/2203.10332 (2022) - [i15]Junwen Pan, Guanlin Chen, Yi Liu, Jiexiang Wang, Cheng Bian, Pengfei Zhu, Zhicheng Zhang:
Tell Me the Evidence? Dual Visual-Linguistic Interaction for Answer Grounding. CoRR abs/2207.05703 (2022) - [i14]Zhixiong Yang, Junwen Pan, Yanzhan Yang, Xiaozhou Shi, Hong-Yu Zhou, Zhicheng Zhang, Cheng Bian:
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification. CoRR abs/2209.00183 (2022) - 2021
- [j7]Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Jichao Zhao:
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. Medical Image Anal. 67: 101832 (2021) - [c18]Wei Ji, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Qi Bi, Jingjing Li, Hanruo Liu, Li Cheng, Yefeng Zheng:
Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling. CVPR 2021: 12341-12351 - [c17]Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng:
Multi-Anchor Active Domain Adaptation for Semantic Segmentation. ICCV 2021: 9092-9102 - [c16]Munan Ning, Cheng Bian, Dong Wei, Shuang Yu, Chenglang Yuan, Yaohua Wang, Yang Guo, Kai Ma, Yefeng Zheng:
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework. IPMI 2021: 492-503 - [c15]Xing Tao, Chenglang Yuan, Cheng Bian, Yuexiang Li, Kai Ma, Dong Ni, Yefeng Zheng:
The Winner of Age Challenge: Going One Step Further From Keypoint Detection to Scleral Spur Localization. ISBI 2021: 1284-1287 - [c14]Shuang Yu, Kai Ma, Qi Bi, Cheng Bian, Munan Ning, Nanjun He, Yuexiang Li, Hanruo Liu, Yefeng Zheng:
MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification. MICCAI (8) 2021: 45-54 - [c13]Qi Bi, Shuang Yu, Wei Ji, Cheng Bian, Lijun Gong, Hanruo Liu, Kai Ma, Yefeng Zheng:
Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification. MICCAI (8) 2021: 55-64 - [i13]Munan Ning, Cheng Bian, Dong Wei, Chenglang Yuan, Yaohua Wang, Yang Guo, Kai Ma, Yefeng Zheng:
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework. CoRR abs/2108.07979 (2021) - [i12]Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng:
Multi-Anchor Active Domain Adaptation for Semantic Segmentation. CoRR abs/2108.08012 (2021) - 2020
- [j6]Cheng Bian, Chenglang Yuan, Jiexiang Wang, Meng Li, Xin Yang, Shuang Yu, Kai Ma, Jin Yuan, Yefeng Zheng:
Uncertainty-aware domain alignment for anatomical structure segmentation. Medical Image Anal. 64: 101732 (2020) - [j5]Baiying Lei, Shan Huang, Hang Li, Ran Li, Cheng Bian, Yi-Hong Chou, Jie Du, Peng Zhou, Xuehao Gong, Jie-Zhi Cheng:
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound. Medical Image Anal. 64: 101753 (2020) - [j4]Huazhu Fu, Fei Li, Xu Sun, Xingxing Cao, Jingan Liao, José Ignacio Orlando, Xing Tao, Yuexiang Li, Shihao Zhang, Mingkui Tan, Chenglang Yuan, Cheng Bian, Ruitao Xie, Jiongcheng Li, Xiaomeng Li, Jing Wang, Le Geng, Panming Li, Yanwu Xu:
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. Medical Image Anal. 66: 101798 (2020) - [c12]Munan Ning, Cheng Bian, Chenglang Yuan, Kai Ma, Yefeng Zheng:
Ensembled ResUnet for Anatomical Brain Barriers Segmentation. MICCAI (Challenges) 2020: 27-33 - [c11]Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng:
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations. MICCAI (1) 2020: 398-407 - [c10]Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng:
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification. MICCAI (5) 2020: 616-625 - [c9]Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng:
A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation. MICCAI (5) 2020: 725-734 - [c8]Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng:
Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling. MICCAI (1) 2020: 741-750 - [i11]Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Mengyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez Garcia, Oscar Camara, Nicoló Savioli, Pablo Lamata, Jichao Zhao:
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. CoRR abs/2004.12314 (2020) - [i10]Huazhu Fu, Fei Li, Xu Sun, Xingxing Cao, Jingan Liao, José Ignacio Orlando, Xing Tao, Yuexiang Li, Shihao Zhang, Mingkui Tan, Chenglang Yuan, Cheng Bian, Ruitao Xie, Jiongcheng Li, Xiaomeng Li, Jing Wang, Le Geng, Panming Li, Huaying Hao, Jiang Liu, Yan Kong, Yongyong Ren, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. CoRR abs/2005.02258 (2020) - [i9]Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng:
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations. CoRR abs/2007.07423 (2020) - [i8]Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng:
A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation. CoRR abs/2007.10007 (2020) - [i7]Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng:
Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling. CoRR abs/2007.14848 (2020) - [i6]Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng:
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification. CoRR abs/2007.14852 (2020) - [i5]Munan Ning, Cheng Bian, Chenglang Yuan, Kai Ma, Yefeng Zheng:
Ensembled ResUnet for Anatomical Brain Barriers Segmentation. CoRR abs/2012.14567 (2020)
2010 – 2019
- 2019
- [j3]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Guang Yang:
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge. Medical Image Anal. 58 (2019) - [j2]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) - [i4]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom J. MacGillivray, David E. Newby, Kawal S. Rhode, Sébastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David N. Firmin, Guang Yang:
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. CoRR abs/1902.07880 (2019) - [i3]Jiexiang Wang, Cheng Bian, Meng Li, Xin Yang, Kai Ma, Wenao Ma, Jin Yuan, Xinghao Ding, Yefeng Zheng:
Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images. CoRR abs/1908.08242 (2019) - [i2]Chenglang Yuan, Cheng Bian, Hongjian Kang, Shu Liang, Kai Ma, Yefeng Zheng:
Identification of primary angle-closure on AS-OCT images with Convolutional Neural Networks. CoRR abs/1910.10414 (2019) - 2018
- [j1]Baiying Lei, Shan Huang, Ran Li, Cheng Bian, Hang Li, Yi-Hong Chou, Jie-Zhi Cheng:
Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional encoder-decoder network. Neurocomputing 321: 178-186 (2018) - [c7]Cheng Bian, Xin Yang, Jianqiang Ma, Shen Zheng, Yu-An Liu, Reza Nezafat, Pheng-Ann Heng, Yefeng Zheng:
Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation. STACOM@MICCAI 2018: 237-245 - [c6]Xin Yang, Haoran Dou, Ran Li, Xu Wang, Cheng Bian, Shengli Li, Dong Ni, Pheng-Ann Heng:
Generalizing Deep Models for Ultrasound Image Segmentation. MICCAI (4) 2018: 497-505 - [c5]Na Wang, Cheng Bian, Yi Wang, Min Xu, Chenchen Qin, Xin Yang, Tianfu Wang, Anhua Li, Dinggang Shen, Dong Ni:
Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound. MICCAI (4) 2018: 641-648 - [i1]Cheng Bian, Xin Yang, Jianqiang Ma, Shen Zheng, Yu-An Liu, Reza Nezafat, Pheng-Ann Heng, Yefeng Zheng:
Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation. CoRR abs/1812.05802 (2018) - 2017
- [c4]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 - [c3]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 - [c2]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 - [c1]Cheng Bian, Ran Lee, Yi-Hong Chou, Jie-Zhi Cheng:
Boundary Regularized Convolutional Neural Network for Layer Parsing of Breast Anatomy in Automated Whole Breast Ultrasound. MICCAI (3) 2017: 259-266
Coauthor Index
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last updated on 2024-10-07 22:22 CEST by the dblp team
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