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Lin Yang 0003
Person information
- affiliation: University of Notre Dame, IN, USA
Other persons with the same name
- Lin Yang — disambiguation page
- Lin Yang 0001 — Alcatel-Lucent Bell Labs, Shanghai, China (and 1 more)
- Lin Yang 0002 — Westlake University, School of Engineering, Artificial Intelligence and Biomedical Image Analysis Lab, Hangzhou, China (and 5 more)
- Lin Yang 0004 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, China
- Lin Yang 0005 — Wuhan University, School of Electrical Engineering and Automation, China
- Lin Yang 0006 — Xidian University, State Key Discipline Laboratory of Wide Bandgap Semiconductor Technology, Xian, China
- Lin Yang 0007 — China University of Geoscience, Faculty of Information Engineering, Wuhan, China
- Lin Yang 0008 — Wuhan University of Technology, School of Logistics Engineering, China
- Lin Yang 0009 — Huawei Noah's Ark Lab, China (and 1 more)
- Lin Yang 0010 — University of Minnesota, Department of Electrical and Computer Engineering, MN, USA
- Lin Yang 0011 (aka: Lin F. Yang) — University of California, Los Angeles, CA, USA
- Lin Yang 0013 — Nanjing University, School of Intelligence Science and Technology, Nanjing, China (and 3 more)
- Lin Yang 0014 — Lenovo Research, AI Lab, Beijing, China
- Lin Yang 0015 — Gyrfalcon Technology Inc., Milpitas, CA, USA
- Lin Yang 0016 — Chinese Academy of Sciences, Institute of Acoustics, Key Laboratory of Speech Acoustics and Content Understanding, Beijing, China
- Lin Yang 0017 — South China University of Technology, School of Electric Power, Guangzhou, China (and 1 more)
- Lin Yang 0018 — Nanjing University, School of Geography and Ocean Science, Nanjing, China (and 1 more)
- Lin Yang 0019 — University of Minnesota, Department of Biomedical Engineering, Minneapolis, MN, USA
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2020 – today
- 2021
- [c23]Hao Zheng, Jun Han, Hongxiao Wang, Lin Yang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
Hierarchical Self-supervised Learning for Medical Image Segmentation Based on Multi-domain Data Aggregation. MICCAI (1) 2021: 622-632 - [i12]Hao Zheng, Jun Han, Hongxiao Wang, Lin Yang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation. CoRR abs/2107.04886 (2021) - 2020
- [c22]Hao Zheng, Yizhe Zhang, Lin Yang, Chaoli Wang, Danny Z. Chen:
An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training. AAAI 2020: 6925-6932 - [c21]Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation. BIBM 2020: 815-820 - [i11]Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation. CoRR abs/2012.09373 (2020)
2010 – 2019
- 2019
- [c20]Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
Biomedical Image Segmentation via Representative Annotation. AAAI 2019: 5901-5908 - [c19]Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation. AAAI 2019: 5909-5916 - [c18]Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation. ISBI 2019: 339-342 - [c17]Hao Zheng, Lin Yang, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion. MICCAI (2) 2019: 759-767 - [c16]Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold, Raquel G. Loreto, David P. Hughes, Danny Z. Chen:
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation. MIDL 2019: 572-587 - [i10]Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation. CoRR abs/1901.04949 (2019) - [i9]Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold, Raquel G. Loreto, David P. Hughes, Danny Z. Chen:
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation. CoRR abs/1903.00035 (2019) - 2018
- [c15]Indranil Palit, Lin Yang, Yue Ma, Danny Z. Chen, Michael T. Niemier, Jinjun Xiong, Xiaobo Sharon Hu:
Biomedical Image Segmentation Using Fully Convolutional Networks on TrueNorth. CBMS 2018: 375-380 - [c14]Xiaowei Xu, Qing Lu, Lin Yang, Xiaobo Sharon Hu, Danny Z. Chen, Yu Hu, Yiyu Shi:
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation. CVPR 2018: 8300-8308 - [c13]Peixian Liang, Jianxu Chen, Pavel A. Brodskiy, Qinfeng Wu, Yejia Zhang, Yizhe Zhang, Lin Yang, Jeremiah J. Zartman, Danny Z. Chen:
A new registration approach for dynamic analysis of calcium signals in organs. ISBI 2018: 934-937 - [c12]Zhuo Zhao, Lin Yang, Hao Zheng, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen:
Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation. MICCAI (4) 2018: 352-360 - [i8]Peixian Liang, Jianxu Chen, Pavel A. Brodskiy, Qinfeng Wu, Yejia Zhang, Yizhe Zhang, Lin Yang, Jeremiah J. Zartman, Danny Z. Chen:
A New Registration Approach for Dynamic Analysis of Calcium Signals in Organs. CoRR abs/1802.00491 (2018) - [i7]Xiaowei Xu, Qing Lu, Yu Hu, Lin Yang, Xiaobo Sharon Hu, Danny Ziyi Chen, Yiyu Shi:
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation. CoRR abs/1803.04907 (2018) - [i6]Lin Yang, Yizhe Zhang, Zhuo Zhao, Hao Zheng, Peixian Liang, Michael T. C. Ying, Anil T. Ahuja, Danny Z. Chen:
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation. CoRR abs/1806.00593 (2018) - [i5]Zhuo Zhao, Lin Yang, Hao Zheng, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen:
Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation. CoRR abs/1806.11137 (2018) - [i4]Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen:
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation. CoRR abs/1812.03945 (2018) - 2017
- [j3]Baoxu Shi, Lin Yang, Tim Weninger:
Forward backward similarity search in knowledge networks. Knowl. Based Syst. 119: 20-31 (2017) - [c11]Chenchen Li, Xiaowei Li, Hongji Cao, He Jiang, Xiaotie Deng, Danny Z. Chen, Lin Yang, Zhifeng Shao:
Fast Background Removal Method for 3D Multi-channel Deep Tissue Fluorescence Imaging. MICCAI (2) 2017: 92-99 - [c10]Lin Yang, Yizhe Zhang, Jianxu Chen, Siyuan Zhang, Danny Z. Chen:
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation. MICCAI (3) 2017: 399-407 - [c9]Yizhe Zhang, Lin Yang, Jianxu Chen, Maridel Fredericksen, David P. Hughes, Danny Z. Chen:
Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images. MICCAI (3) 2017: 408-416 - [i3]Lin Yang, Yizhe Zhang, Jianxu Chen, Siyuan Zhang, Danny Z. Chen:
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation. CoRR abs/1706.04737 (2017) - 2016
- [j2]Yizhe Zhang, Lin Yang, John D. MacKenzie, Rageshree Ramachandran, Danny Z. Chen:
A seeding-searching-ensemble method for gland segmentation in H&E-stained images. BMC Medical Informatics Decis. Mak. 16(S-2): 80 (2016) - [c8]Yizhe Zhang, Michael T. C. Ying, Lin Yang, Anil T. Ahuja, Danny Z. Chen:
Coarse-to-Fine Stacked Fully Convolutional Nets for lymph node segmentation in ultrasound images. BIBM 2016: 443-448 - [c7]Jianxu Chen, Yiqing Cai, Chen Wei, Lin Yang, Mark S. Alber, Danny Ziyi Chen:
Segmentation and tracking of Pseudomonas aeruginosa for cell dynamics analysis in time-lapse images. ISBI 2016: 968-971 - [c6]Lin Yang, Yizhe Zhang, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen:
3D Segmentation of Glial Cells Using Fully Convolutional Networks and k-Terminal Cut. MICCAI (2) 2016: 658-666 - [c5]Jianxu Chen, Lin Yang, Yizhe Zhang, Mark S. Alber, Danny Ziyi Chen:
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation. NIPS 2016: 3036-3044 - [i2]Jianxu Chen, Lin Yang, Yizhe Zhang, Mark S. Alber, Danny Z. Chen:
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation. CoRR abs/1609.01006 (2016) - [i1]Baoxu Shi, Lin Yang, Tim Weninger:
Forward Backward Similarity Search in Knowledge Networks. CoRR abs/1611.09316 (2016) - 2015
- [j1]Danny Z. Chen, David Craft, Lin Yang:
A circular matrix-merging algorithm with application in Volumetric Intensity-Modulated Arc Therapy. Theor. Comput. Sci. 607: 126-134 (2015) - [c4]Yizhe Zhang, Lin Yang, John D. MacKenzie, Rageshree Ramachandran, Danny Z. Chen:
A seeding-searching-ensemble method for gland segmentation and detection. BIBM 2015: 357-362 - [c3]Lin Yang, Yizhe Zhang, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen:
Fast Background Removal in 3D Fluorescence Microscopy Images Using One-Class Learning. MICCAI (3) 2015: 292-299 - [c2]Jian Mu, Lin Yang, Malgorzata M. Kamocka, Amy L. Zollman, Nadia Carlesso, Danny Z. Chen:
Segmentation of vascular structures and hematopoietic cells in 3D microscopy images and quantitative analysis. Medical Imaging: Image Processing 2015: 941305 - 2014
- [c1]Danny Z. Chen, David Craft, Lin Yang:
A Circular Matrix-Merging Algorithm with Application in VMAT Radiation Therapy. FAW 2014: 36-47
Coauthor Index
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