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ORCIDLin Yang 0002
Person information
- affiliation: Westlake University, School of Engineering, Artificial Intelligence and Biomedical Image Analysis Lab, Hangzhou, China
- affiliation: Northwest University, College of Life Scienes and School of Information Science and Technology, Xi'an, China
- affiliation: University of Florida, J. Crayton Pruitt Family Department of Biomedical Engineering, Gainesville, FL, USA
- affiliation (2011 - 2014): University of Kentucky, Department of Biomedical Informatics, Lexington, KY, USA
- affiliation: University of Medicine and Dentistry New Jersey (UMDNJ), Robert Wood Johnson Medical School, Department of Radiology and the Center for Biomedical Imaging and Informatics, Piscataway, NJ
- affiliation (PhD 2009): Rutgers University, Department of Electrical and Computer Engineering, Piscataway, NJ, 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 0003
![[0000-0001-7593-7066]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7593-7066")
— University of Notre Dame, IN, USA - 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
- 2024
[j53]Shichuan Zhang, Chenglu Zhu, Honglin Li, Jiatong Cai, Lin Yang:
Gradient-aware learning for joint biases: Label noise and class imbalance. Neural Networks 171: 374-382 (2024)- [j52]Jingxiong Li, Sunyi Zheng, Zhongyi Shui, Shichuan Zhang, Linyi Yang, Yuxuan Sun, Yunlong Zhang, Honglin Li, Yuanxin Ye, Peter M. A. van Ooijen, Kang Li, Lin Yang:
Masked Conditional Variational Autoencoders for Chromosome Straightening. IEEE Trans. Medical Imaging 43(1): 216-228 (2024) - [c85]Zhongyi Shui, Sunyi Zheng, Chenglu Zhu, Shichuan Zhang, Xiaoxuan Yu, Honglin Li, Jingxiong Li, Pingyi Chen, Lin Yang:
DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection. AAAI 2024: 4864-4872 - [c84]Yuxuan Sun, Chenglu Zhu, Sunyi Zheng, Kai Zhang, Lin Sun, Zhongyi Shui, Yunlong Zhang, Honglin Li, Lin Yang:
PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology. AAAI 2024: 5034-5042 - [c83]Yuxuan Sun, Chenglu Zhu, Sunyi Zheng, Yunlong Zhang, Honglin Li, Lin Yang:
Context-Aware Text-Assisted Multimodal Framework for Cervical Cytology Cell Diagnosis and Chatting. ICME 2024: 1-6 - [i40]Shichuan Zhang, Sunyi Zheng, Zhongyi Shui, Honglin Li, Lin Yang:
Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis. CoRR abs/2401.01553 (2024) - [i39]Sunyi Zheng, Xiaonan Cui, Yuxuan Sun, Jingxiong Li, Honglin Li, Yunlong Zhang, Pingyi Chen, Xueping Jing, Zhaoxiang Ye, Lin Yang:
Benchmarking PathCLIP for Pathology Image Analysis. CoRR abs/2401.02651 (2024) - [i38]Yunlong Zhang, Zhongyi Shui, Yunxuan Sun, Honglin Li, Jingxiong Li, Chenglu Zhu, Sunyi Zheng, Lin Yang:
ADR: Attention Diversification Regularization for Mitigating Overfitting in Multiple Instance Learning based Whole Slide Image Classification. CoRR abs/2406.15303 (2024) - [i37]Yuxuan Sun, Yunlong Zhang, Yixuan Si, Chenglu Zhu, Zhongyi Shui, Kai Zhang, Jingxiong Li, Xingheng Lyu, Tao Lin, Lin Yang:
PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration. CoRR abs/2407.00203 (2024) - [i36]Pingyi Chen, Chenglu Zhu, Sunyi Zheng, Honglin Li, Lin Yang:
WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering. CoRR abs/2407.05603 (2024) - [i35]Honglin Li, Yusuan Sun, Chenglu Zhu, Yunlong Zhang, Shichuan Zhang, Zhongyi Shui, Pingyi Chen, Jingxiong Li, Sunyi Zheng, Can Cui, Lin Yang:
Large-scale cervical precancerous screening via AI-assisted cytology whole slide image analysis. CoRR abs/2407.19512 (2024) - 2023
- [c82]Zhengyang Xu, XiangLong Du, Yuxin Kang, Hong Lv, Ming Li, Wentao Yang, Lei Cui, Hansheng Li, Yaqiong Xing, Jun Feng, Lin Yang:
Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images. BIBM 2023: 1588-1595 - [c81]Shichuan Zhang, Sunyi Zheng, Zhongyi Shui, Honglin Li, Lin Yang:
Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis. BIBM 2023: 2395-2400 - [c80]Honglin Li, Chenglu Zhu, Yunlong Zhang, Yuxuan Sun, Zhongyi Shui, Wenwei Kuang, Sunyi Zheng, Lin Yang:
Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification. CVPR 2023: 7454-7463 - [c79]Yuxuan Sun, Chenglu Zhu, Yunlong Zhang, Honglin Li, Pingyi Chen, Lin Yang:
Assessing the Robustness of Deep Learning-Assisted Pathological Image Analysis Under Practical Variables of Imaging System. ICASSP 2023: 1-5 - [c78]Dongqing Hu, Hansheng Li, Yuxin Kang, Jiayu Luo, Qingguo Yan, Ying Guo, Lei Cui, Jun Feng, Lin Yang:
Automated Region Learning Via Cell-Level Labels to Modify Cell Detection Process For Histopathological Images. ISBI 2023: 1-5 - [c77]Hansheng Li, Zhengyang Xu, Mo Zhou, Xiaoshuang Shi, Yuxin Kang, Qirong Bu, Hong Lv, Ming Li, Mingzhen Lin, Lei Cui, Jun Feng, Wentao Yang, Lin Yang:
Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision. MICCAI (6) 2023: 539-548 - [c76]Pingyi Chen, Chenglu Zhu, Zhongyi Shui, Jiatong Cai, Sunyi Zheng, Shichuan Zhang, Lin Yang:
Exploring Unsupervised Cell Recognition with Prior Self-activation Maps. MICCAI (8) 2023: 559-568 - [i34]Zhongyi Shui, Sunyi Zheng, Xiaoxuan Yu, Shichuan Zhang, Honglin Li, Jingxiong Li, Lin Yang:
Deformable Proposal-Aware P2PNet: A Universal Network for Cell Recognition under Point Supervision. CoRR abs/2303.02602 (2023) - [i33]Honglin Li, Chenglu Zhu, Yunlong Zhang, Yuxuan Sun, Zhongyi Shui, Wenwei Kuang, Sunyi Zheng, Lin Yang:
Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification. CoRR abs/2303.08446 (2023) - [i32]Yuxuan Sun, Chenglu Zhu, Sunyi Zheng, Kai Zhang, Zhongyi Shui, Xiaoxuan Yu, Yizhi Zhao, Honglin Li, Yunlong Zhang, Ruojia Zhao, Xinheng Lyu, Lin Yang:
PathAsst: Redefining Pathology through Generative Foundation AI Assistant for Pathology. CoRR abs/2305.15072 (2023) - [i31]Zhongyi Shui, Yizhi Zhao, Sunyi Zheng, Yunlong Zhang, Honglin Li, Shichuan Zhang, Xiaoxuan Yu, Chenglu Zhu, Lin Yang:
Semi-supervised Cell Recognition under Point Supervision. CoRR abs/2306.08240 (2023) - [i30]Jingxiong Li, Sunyi Zheng, Zhongyi Shui, Shichuan Zhang, Linyi Yang, Yuxuan Sun, Yunlong Zhang, Honglin Li, Yuanxin Ye, Peter M. A. van Ooijen, Kang Li, Lin Yang:
Masked conditional variational autoencoders for chromosome straightening. CoRR abs/2306.14129 (2023) - [i29]Pingyi Chen, Chenglu Zhu, Zhongyi Shui, Jiatong Cai, Sunyi Zheng, Shichuan Zhang, Lin Yang:
Exploring Unsupervised Cell Recognition with Prior Self-activation Maps. CoRR abs/2308.11144 (2023) - [i28]Yunlong Zhang, Honglin Li, Yuxuan Sun, Sunyi Zheng, Chenglu Zhu, Lin Yang:
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification. CoRR abs/2311.07125 (2023) - [i27]Yunlong Zhang, Yuxuan Sun, Sunyi Zheng, Zhongyi Shui, Chenglu Zhu, Lin Yang:
Test-Time Training for Semantic Segmentation with Output Contrastive Loss. CoRR abs/2311.07877 (2023) - [i26]Honglin Li, Yunlong Zhang, Chenglu Zhu, Jiatong Cai, Sunyi Zheng, Lin Yang:
Long-MIL: Scaling Long Contextual Multiple Instance Learning for Histopathology Whole Slide Image Analysis. CoRR abs/2311.12885 (2023) - [i25]Zhongyi Shui, Yunlong Zhang, Kai Yao, Chenglu Zhu, Yuxuan Sun, Lin Yang:
Unleashing the Power of Prompt-driven Nucleus Instance Segmentation. CoRR abs/2311.15939 (2023) - [i24]Pingyi Chen, Honglin Li, Chenglu Zhu, Sunyi Zheng, Lin Yang:
MI-Gen: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images. CoRR abs/2311.16480 (2023) - 2022
- [j51]Hansheng Li, Jianping Li, Yuxin Kang, Chunbao Wang, Feihong Liu, Wenli Hui, Qirong Bo, Lei Cui, Jun Feng, Lin Yang:
A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 267-274 (2022) - [c75]Yuxin Kang, Hansheng Li, Xuan Zhao, Xiaoshuang Shi, Feihong Liu, Qingguo Yan, Ying Guo, Lei Cui, Jun Feng, Lin Yang:
Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation. BIBM 2022: 450-456 - [c74]Xuan Zhao, Yuxin Kang, Hansheng Li, Jiayu Luo, Lei Cui, Jun Feng, Lin Yang:
A Random Feature Augmentation for Domain Generalization in Medical Image Segmentation. BIBM 2022: 891-896 - [c73]Jiatong Cai, Chenglu Zhu, Pingyi Chen, Shichuan Zhang, Honglin Li, Yuxuan Sun, Lin Yang:
Category Separation For Weakly Supervised Multi-Class Cell Counting. ISBI 2022: 1-5 - [c72]Shichuan Zhang, Chenglu Zhu, Honglin Li, Jiatong Cai, Lin Yang:
Weakly Supervised Learning For Cell Recognition In Immunohistochemical Cytoplasm Staining Images. ISBI 2022: 1-5 - [c71]Zhongyi Shui, Shichuan Zhang, Chenglu Zhu, Bingchuan Wang, Pingyi Chen, Sunyi Zheng, Lin Yang:
End-to-End Cell Recognition by Point Annotation. MICCAI (4) 2022: 109-118 - [c70]Sunyi Zheng, Jingxiong Li, Zhongyi Shui, Chenglu Zhu, Yunlong Zhang, Pingyi Chen, Lin Yang:
ChrSNet: Chromosome Straightening Using Self-attention Guided Networks. MICCAI (4) 2022: 119-128 - [c69]Yunlong Zhang, Yuxuan Sun, Honglin Li, Sunyi Zheng, Chenglu Zhu, Lin Yang:
Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology. MICCAI (2) 2022: 242-252 - [i23]Shichuan Zhang, Chenglu Zhu, Honglin Li, Jiatong Cai, Lin Yang:
Weakly Supervised Learning for cell recognition in immunohistochemical cytoplasm staining images. CoRR abs/2202.13372 (2022) - [i22]Yuxin Kang, Hansheng Li, Xuan Zhao, Dongqing Hu, Feihong Liu, Lei Cui, Jun Feng, Lin Yang:
Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation. CoRR abs/2205.02845 (2022) - [i21]Yunlong Zhang, Yuxuan Sun, Honglin Li, Sunyi Zheng, Chenglu Zhu, Lin Yang:
Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology. CoRR abs/2206.14973 (2022) - [i20]Sunyi Zheng, Jingxiong Li, Zhongyi Shui, Chenglu Zhu, Yunlong Zhang, Pingyi Chen, Lin Yang:
ChrSNet: Chromosome Straightening using Self-attention Guided Networks. CoRR abs/2207.00147 (2022) - [i19]Zhongyi Shui, Shichuan Zhang, Chenglu Zhu, Bingchuan Wang, Pingyi Chen, Sunyi Zheng, Lin Yang:
End-to-end cell recognition by point annotation. CoRR abs/2207.00176 (2022) - [i18]Pingyi Chen, Chenglu Zhu, Zhongyi Shui, Jiatong Cai, Sunyi Zheng, Shichuan Zhang, Lin Yang:
Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images. CoRR abs/2210.07862 (2022) - 2021
- [j50]Pingjun Chen, Yun Liang, Xiaoshuang Shi, Lin Yang, Paul D. Gader:
Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion. Neurocomputing 453: 312-325 (2021) - [j49]Zizhao Zhang, Pingjun Chen, Xiaoshuang Shi, Lin Yang:
Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1733-1745 (2021) - [j48]Xiaoshuang Shi, Fuyong Xing, Zizhao Zhang, Manish Sapkota, Zhenhua Guo, Lin Yang:
A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing. IEEE Trans. Image Process. 30: 1130-1142 (2021) - [j47]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) - [c68]Hansheng Li, Yuxin Kang, Lingyu Hu, Qian Ma, Lei Cui, Jun Feng, Lin Yang, Wentao Yang:
Robust Pathological Detector Training Method on Sparsely Annotated Datasets via Spatial Cues. BIBM 2021: 1396-1401 - [c67]Yuxin Kang, Hansheng Li, Zhuoyue Wu, Feihong Liu, Dongqing Hu, Lei Cui, Jun Feng, Lin Yang:
Boosting Boundary Representation for Gland Instance Segmentation. BIBM 2021: 1749-1756 - [c66]Zhuoyue Wu, Hansheng Li, Lei Cui, Yuxin Kang, Jianye Liu, Haider Ali, Jun Feng, Lin Yang:
Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision. MLMI@MICCAI 2021: 40-49 - [c65]Jiatong Cai, Chenglu Zhu, Can Cui, Honglin Li, Tong Wu, Shichuan Zhang, Lin Yang:
Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-Specific Pruning. MICCAI (8) 2021: 277-287 - [i17]Jiatong Cai, Chenglu Zhu, Can Cui, Honglin Li, Tong Wu, Shichuan Zhang, Lin Yang:
Generalizing Nucleus Recognition Model in Multi-source Images via Pruning. CoRR abs/2107.02500 (2021) - 2020
- [j46]Yuan Li, Pingjun Chen, Zhiyuan Li, Hai Su, Lin Yang, Dingrong Zhong:
Rule-based automatic diagnosis of thyroid nodules from intraoperative frozen sections using deep learning. Artif. Intell. Medicine 108: 101918 (2020) - [j45]Lei Cui, Hansheng Li, Wenli Hui, Sitong Chen, Lin Yang, Yuxin Kang, Qirong Bo, Jun Feng:
A deep learning-based framework for lung cancer survival analysis with biomarker interpretation. BMC Bioinform. 21(1): 112 (2020) - [j44]Pingjun Chen, Xiaoshuang Shi, Yun Liang, Yuan Li, Lin Yang, Paul D. Gader:
Interactive thyroid whole slide image diagnostic system using deep representation. Comput. Methods Programs Biomed. 195: 105630 (2020) - [j43]Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yun Liang, Lin Yang:
Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing. Int. J. Comput. Vis. 128(8): 2307-2324 (2020) - [j42]Xiaoshuang Shi, Hai Su, Fuyong Xing, Yun Liang, Gang Qu, Lin Yang:
Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis. Medical Image Anal. 60 (2020) - [c64]Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Zizhao Zhang, Lei Cui, Lin Yang:
Loss-Based Attention for Deep Multiple Instance Learning. AAAI 2020: 5742-5749 - [c63]Pingjun Chen, Jinzheng Cai, Lin Yang:
Chromosome Segmentation via Data Simulation and Shape Learning. EMBC 2020: 1637-1640 - [c62]Yuxin Kang, Hansheng Li, Xin Han, Boju Pan, Yuan Li, Yan Jin, Qirong Bu, Lei Cui, Jun Feng, Lin Yang:
Automated Tumor Proportion Scoring for Assessment of PD-L1 Expression Based on Multi-Stage Ensemble Strategy. MLMI@MICCAI 2020: 70-79 - [c61]Hansheng Li, Xin Han, Yuxin Kang, Xiaoshuang Shi, Mengdi Yan, Zixu Tong, Qirong Bu, Lei Cui, Jun Feng, Lin Yang:
A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets. MICCAI (5) 2020: 320-329 - [i16]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. CoRR abs/2001.07776 (2020)
2010 – 2019
- 2019
- [j41]Lei Cui, Jun Feng, Zizhao Zhang, Lin Yang:
High throughput automatic muscle image segmentation using parallel framework. BMC Bioinform. 20(1): 158:1-158:9 (2019) - [j40]Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang:
Towards pixel-to-pixel deep nucleus detection in microscopy images. BMC Bioinform. 20(1): 472:1-472:16 (2019) - [j39]Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang:
Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images. BMC Bioinform. 20(1): 509:1 (2019) - [j38]Pingjun Chen, Linlin Gao, Xiaoshuang Shi, Kyle Allen, Lin Yang:
Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss. Comput. Medical Imaging Graph. 75: 84-92 (2019) - [j37]Xiaoshuang Shi, Fuyong Xing, Zhenhua Guo, Hai Su, Fujun Liu, Lin Yang:
Structured orthogonal matching pursuit for feature selection. Neurocomputing 349: 164-172 (2019) - [j36]Pingjun Chen, Lin Yang:
tissueloc: Whole slide digital pathology image tissue localization. J. Open Source Softw. 4(33): 1148 (2019) - [j35]Jinzheng Cai, Zizhao Zhang, Lei Cui, Yefeng Zheng, Lin Yang:
Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network. Medical Image Anal. 52: 174-184 (2019) - [j34]Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jaspreet Singh Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang:
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 1(5): 236-245 (2019) - [j33]Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jasreman Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang:
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 1(6): 289 (2019) - [j32]Zizhao Zhang, Pingjun Chen, Mason McGough, Fuyong Xing, Chunbao Wang, Marilyn Bui, Yuanpu Xie, Manish Sapkota, Lei Cui, Jasreman Dhillon, Nazeel Ahmad, Farah K. Khalil, Shohreh I. Dickinson, Xiaoshuang Shi, Fujun Liu, Hai Su, Jinzheng Cai, Lin Yang:
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. Nat. Mach. Intell. 1(8): 384 (2019) - [j31]Jinzheng Cai, Fuyong Xing, Abhinandan Batra, Fujun Liu, Glenn A. Walter, Krista Vandenborne, Lin Yang:
Texture analysis for muscular dystrophy classification in MRI with improved class activation mapping. Pattern Recognit. 86: 368-375 (2019) - [j30]Fuyong Xing, Toby C. Cornish, Tell Bennett, Debashis Ghosh, Lin Yang:
Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images. IEEE Trans. Biomed. Eng. 66(11): 3088-3097 (2019) - [j29]Manish Sapkota, Xiaoshuang Shi, Fuyong Xing, Lin Yang:
Deep Convolutional Hashing for Low-Dimensional Binary Embedding of Histopathological Images. IEEE J. Biomed. Health Informatics 23(2): 805-816 (2019) - [c60]Hansheng Li, Jun Feng, Baosheng Kang, Yuxin Kang, Feihong Liu, Wenli Hui, Qirong Bo, Chunbao Wang, Lin Yang, Lei Cui:
Global Bank: A Guided Pathway of Encoding and Decoding for Pathological Image Analysis. BIBM 2019: 415-422 - [c59]Mengdi Yan, Hansheng Li, Baosheng Kang, Jun Feng, Yuxin Kang, Tao Zhang, Lin Yang, Lei Cui:
$S^{3}$ Net: Trained on a Small Sample Segmentation Network for Biomedical Image Analysis. BIBM 2019: 1402-1408 - [c58]Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal:
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. CVPR 2019: 2049-2058 - [c57]Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth:
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation. MLMI@MICCAI 2019: 124-132 - [c56]Hai Su, Xiaoshuang Shi, Jinzheng Cai, Lin Yang:
Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification. MICCAI (1) 2019: 559-567 - [p7]Jinzheng Cai, Le Lu, Fuyong Xing, Lin Yang:
Pancreas Segmentation in CT and MRI via Task-Specific Network Design and Recurrent Neural Contextual Learning. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 3-21 - [p6]Yuanpu Xie, Fujun Liu, Fuyong Xing, Lin Yang:
Deep Learning for Muscle Pathology Image Analysis. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 23-41 - [p5]Xiaoshuang Shi, Lin Yang:
Deep Hashing and Its Application for Histopathology Image Analysis. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 219-237 - [e2]Le Lu, Xiaosong Wang, Gustavo Carneiro, Lin Yang:
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics. Advances in Computer Vision and Pattern Recognition, Springer 2019, ISBN 978-3-030-13968-1 [contents] - [i15]Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal:
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition. CoRR abs/1902.03051 (2019) - [i14]Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth:
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation. CoRR abs/1910.06474 (2019) - 2018
- [j28]Yuanpu Xie, Fuyong Xing, Xiaoshuang Shi, Xiangfei Kong, Hai Su, Lin Yang:
Efficient and robust cell detection: A structured regression approach. Medical Image Anal. 44: 245-254 (2018) - [j27]Zizhao Zhang, Fuyong Xing, Hanzi Wang, Yan Yan, Ying Huang, Xiaoshuang Shi, Lin Yang:
Revisiting graph construction for fast image segmentation. Pattern Recognit. 78: 344-357 (2018) - [j26]Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Jinzheng Cai, Lin Yang:
Self-learning for face clustering. Pattern Recognit. 79: 279-289 (2018) - [j25]Xiaoshuang Shi, Manish Sapkota, Fuyong Xing, Fujun Liu, Lei Cui, Lin Yang:
Pairwise based deep ranking hashing for histopathology image classification and retrieval. Pattern Recognit. 81: 14-22 (2018) - [j24]Manish Sapkota, Fujun Liu, Yuanpu Xie, Hai Su, Fuyong Xing, Lin Yang:
AIIMDs: An Integrated Framework of Automatic Idiopathic Inflammatory Myopathy Diagnosis for Muscle. IEEE J. Biomed. Health Informatics 22(3): 942-954 (2018) - [j23]Fuyong Xing, Yuanpu Xie, Hai Su, Fujun Liu, Lin Yang:
Deep Learning in Microscopy Image Analysis: A Survey. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4550-4568 (2018) - [c55]Lei Cui, Jun Feng, Lin Yang:
Semi-supervised Deep Linear Discriminant Analysis for Histopathology Image Classification. BIBM 2018: 2333-2337 - [c54]Kun Su, Yu Xiong, Li Qi, Yu Xia, Baisong Li, Lin Yang, Qin Li, Wenge Tang, Xian Li, Xiaowen Ruan, Shaofeng Lu, Xianxian Chen, Chaobo Shen, Jiaying Xu, Liang Xu, Mei Han, Jing Xiao:
City-Wide Influenza Forecasting based on Multi-Source Data. IEEE BigData 2018: 3930-3937 - [c53]Zizhao Zhang, Lin Yang, Yefeng Zheng:
Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network. CVPR 2018: 9242-9251 - [c52]Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement. MLMI@MICCAI 2018: 46-54 - [c51]Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST. MICCAI (4) 2018: 396-404 - [c50]Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang:
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. MICCAI (2) 2018: 589-598 - [c49]Heng Huang, Li Shen, Paul M. Thompson, Kun Huang, Junzhou Huang, Lin Yang:
Session introduction. PSB 2018: 304-306 - [i13]Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST. CoRR abs/1801.08614 (2018) - [i12]Zizhao Zhang, Lin Yang, Yefeng Zheng:
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network. CoRR abs/1802.09655 (2018) - [i11]Jinzheng Cai, Le Lu, Fuyong Xing, Lin Yang:
Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning. CoRR abs/1803.11303 (2018) - [i10]Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang:
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. CoRR abs/1807.00958 (2018) - [i9]Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST. CoRR abs/1807.01172 (2018) - [i8]Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement. CoRR abs/1807.07144 (2018) - [i7]Xiaoshuang Shi, Fuyong Xing, Zizhao Zhang, Manish Sapkota, Zhenhua Guo, Lin Yang:
A Scalable Optimization Mechanism for Pairwise based Discrete Hashing. CoRR abs/1811.10810 (2018) - 2017
- [j22]Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Yuanpu Xie, Hai Su, Lin Yang:
Supervised graph hashing for histopathology image retrieval and classification. Medical Image Anal. 42: 117-128 (2017) - [c48]Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang:
Asymmetric Discrete Graph Hashing. AAAI 2017: 2541-2547 - [c47]Zizhao Zhang, Yuanpu Xie, Fuyong Xing, Mason McGough, Lin Yang:
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network. CVPR 2017: 3549-3557 - [c46]Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Hai Su, Lin Yang:
Cell Encoding for Histopathology Image Classification. MICCAI (2) 2017: 30-38 - [c45]Zizhao Zhang, Pingjun Chen, Manish Sapkota, Lin Yang:
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References. MICCAI (3) 2017: 320-328 - [c44]Jinzheng Cai, Le Lu, Yuanpu Xie, Fuyong Xing, Lin Yang:
Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks. MICCAI (3) 2017: 674-682 - [c43]Chao Wang, Hai Su, Lin Yang, Kun Huang:
Integrative Analysis for Lung Adenocarcinoma Predicts Morphological Features Associated with Genetic Variations. PSB 2017: 82-93 - [p4]Yuanpu Xie, Fuyong Xing, Lin Yang:
Deep Voting and Structured Regression for Microscopy Image Analysis. Deep Learning for Medical Image Analysis 2017: 155-175 - [p3]Gustavo Carneiro, Yefeng Zheng, Fuyong Xing, Lin Yang:
Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 11-32 - [p2]Fujun Liu, Lin Yang:
A Novel Cell Detection Method Using Deep Convolutional Neural Network and Maximum-Weight Independent Set. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 63-72 - [p1]Hai Su, Fuyong Xing, Xiangfei Kong, Yuanpu Xie, Shaoting Zhang, Lin Yang:
Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 257-278 - [e1]Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang:
Deep Learning and Convolutional Neural Networks for Medical Image Computing - Precision Medicine, High Performance and Large-Scale Datasets. Advances in Computer Vision and Pattern Recognition, Springer 2017, ISBN 978-3-319-42998-4 [contents] - [i6]Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang:
Revisiting Graph Construction for Fast Image Segmentation. CoRR abs/1702.05650 (2017) - [i5]Zizhao Zhang, Yuanpu Xie, Fuyong Xing, Mason McGough, Lin Yang:
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network. CoRR abs/1707.02485 (2017) - [i4]Jinzheng Cai, Le Lu, Yuanpu Xie, Fuyong Xing, Lin Yang:
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function. CoRR abs/1707.04912 (2017) - [i3]Zizhao Zhang, Pingjun Chen, Manish Sapkota, Lin Yang:
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References. CoRR abs/1708.03070 (2017) - [i2]Zizhao Zhang, Fuyong Xing, Hai Su, Xiaoshuang Shi, Lin Yang:
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection. CoRR abs/1708.07281 (2017) - 2016
- [j21]Menglin Jiang, Shaoting Zhang, Junzhou Huang, Lin Yang, Dimitris N. Metaxas:
Scalable histopathological image analysis via supervised hashing with multiple features. Medical Image Anal. 34: 3-12 (2016) - [j20]Xiaoshuang Shi, Zhenhua Guo, Feiping Nie, Lin Yang, Jane You, Dacheng Tao:
Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 2130-2136 (2016) - [j19]Fuyong Xing, Yuanpu Xie, Lin Yang:
An Automatic Learning-Based Framework for Robust Nucleus Segmentation. IEEE Trans. Medical Imaging 35(2): 550-566 (2016) - [j18]Hai Su, Fuyong Xing, Lin Yang:
Robust Cell Detection of Histopathological Brain Tumor Images Using Sparse Reconstruction and Adaptive Dictionary Selection. IEEE Trans. Medical Imaging 35(6): 1575-1586 (2016) - [c42]Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang:
SemiContour: A Semi-Supervised Learning Approach for Contour Detection. CVPR 2016: 251-259 - [c41]Xiaoshuang Shi, Fuyong Xing, Jinzheng Cai, Zizhao Zhang, Yuanpu Xie, Lin Yang:
Kernel-Based Supervised Discrete Hashing for Image Retrieval. ECCV (7) 2016: 419-433 - [c40]Fuyong Xing, Xiaoshuang Shi, Zizhao Zhang, Jinzheng Cai, Yuanpu Xie, Lin Yang:
Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation. MICCAI (3) 2016: 183-190 - [c39]Yuanpu Xie, Zizhao Zhang, Manish Sapkota, Lin Yang:
Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation. MICCAI (2) 2016: 185-193 - [c38]Jinzheng Cai, Le Lu, Zizhao Zhang, Fuyong Xing, Lin Yang, Qian Yin:
Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks. MICCAI (2) 2016: 442-450 - [i1]Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang:
SemiContour: A Semi-supervised Learning Approach for Contour Detection. CoRR abs/1605.04996 (2016) - 2015
- [j17]Tahsin M. Kurç, Xin Qi, Daihou Wang, Fusheng Wang, George Teodoro, Lee A. D. Cooper, Michael Nalisnik, Lin Yang, Joel H. Saltz, David J. Foran:
Scalable analysis of Big pathology image data cohorts using efficient methods and high-performance computing strategies. BMC Bioinform. 16: 399:1-399:21 (2015) - [j16]Xiaofan Zhang, Fuyong Xing, Hai Su, Lin Yang, Shaoting Zhang:
High-throughput histopathological image analysis via robust cell segmentation and hashing. Medical Image Anal. 26(1): 306-315 (2015) - [c37]Xiaofan Zhang, Hai Su, Lin Yang, Shaoting Zhang:
Fine-grained histopathological image analysis via robust segmentation and large-scale retrieval. CVPR 2015: 5361-5368 - [c36]Hai Su, Yong Shen, Fuyong Xing, Xin Qi, Kim M. Hirshfield, Lin Yang, David J. Foran:
Robust automatic breast cancer staging using a combination of functional genomics and image-omics. EMBC 2015: 7226-7229 - [c35]Xiaoshuang Shi, Zhenhua Guo, Yujiu Yang, Lin Yang:
Within-class penalty based multi-class support vector machine. ICIP 2015: 2746-2750 - [c34]Xiaofan Zhang, Hai Su, Lin Yang, Shaoting Zhang:
Weighted Hashing with Multiple Cues for Cell-Level Analysis of Histopathological Images. IPMI 2015: 303-314 - [c33]Hai Su, Fujun Liu, Yuanpu Xie, Fuyong Xing, Sreenivasan Meyyappan, Lin Yang:
Region segmentation in histopathological breast cancer images using deep convolutional neural network. ISBI 2015: 55-58 - [c32]Manish Sapkota, Fuyong Xing, Hai Su, Lin Yang:
Automatic muscle perimysium annotation using deep convolutional neural network. ISBI 2015: 205-208 - [c31]Fuyong Xing, Lin Yang:
Unsupervised shape prior modeling for cell segmentation in neuroendocrine tumor. ISBI 2015: 1443-1446 - [c30]Fujun Liu, Fuyong Xing, Zizhao Zhang, Mason McGough, Lin Yang:
Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation. MICCAI (3) 2015: 324-331 - [c29]Fuyong Xing, Lin Yang:
Fast Cell Segmentation Using Scalable Sparse Manifold Learning and Affine Transform-Approximated Active Contour. MICCAI (3) 2015: 332-339 - [c28]Fujun Liu, Lin Yang:
A Novel Cell Detection Method Using Deep Convolutional Neural Network and Maximum-Weight Independent Set. MICCAI (3) 2015: 349-357 - [c27]Yuanpu Xie, Fuyong Xing, Xiangfei Kong, Hai Su, Lin Yang:
Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network. MICCAI (3) 2015: 358-365 - [c26]Menglin Jiang, Shaoting Zhang, Junzhou Huang, Lin Yang, Dimitris N. Metaxas:
Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis. MICCAI (3) 2015: 366-373 - [c25]Yuanpu Xie, Xiangfei Kong, Fuyong Xing, Fujun Liu, Hai Su, Lin Yang:
Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images. MICCAI (3) 2015: 374-382 - [c24]Hai Su, Fuyong Xing, Xiangfei Kong, Yuanpu Xie, Shaoting Zhang, Lin Yang:
Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders. MICCAI (3) 2015: 383-390 - 2014
- [j15]Lin Yang, Xin Qi, Fuyong Xing, Tahsin M. Kurç, Joel H. Saltz, David J. Foran:
Parallel content-based sub-image retrieval using hierarchical searching. Bioinform. 30(7): 996-1002 (2014) - [j14]Xin Qi, Daihou Wang, Ivan Rodero, Javier Diaz Montes, Rebekah H. Gensure, Fuyong Xing, Hua Zhong, Lauri A. Goodell, Manish Parashar, David J. Foran, Lin Yang:
Content-based histopathology image retrieval using CometCloud. BMC Bioinform. 15: 287 (2014) - [j13]Hongyuan Wang, Fuyong Xing, Hai Su, Arnold J. Stromberg, Lin Yang:
Novel image markers for non-small cell lung cancer classification and survival prediction. BMC Bioinform. 15: 310 (2014) - [j12]Fuyong Xing, Hai Su, Janna H. Neltner, Lin Yang:
Automatic Ki-67 Counting Using Robust Cell Detection and Online Dictionary Learning. IEEE Trans. Biomed. Eng. 61(3): 859-870 (2014) - [j11]Hai Su, Fuyong Xing, Jonah D. Lee, Charlotte A. Peterson, Lin Yang:
Automatic Myonuclear Detection in IsolatedSingle Muscle Fibers Using Robust EllipseFitting and Sparse Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 11(4): 714-726 (2014) - [c23]Fujun Liu, Fuyong Xing, Lin Yang:
Robust muscle cell segmentation using region selection with dynamic programming. ISBI 2014: 521-524 - [c22]Fujun Liu, Fuyong Xing, Hai Su, Lin Yang:
Touching adipocyte cells decomposition using combinatorial optimization. ISBI 2014: 1340-1343 - [c21]Xiaofan Zhang, Lin Yang, Wei Liu, Hai Su, Shaoting Zhang:
Mining Histopathological Images via Composite Hashing and Online Learning. MICCAI (2) 2014: 479-486 - 2013
- [j10]Baiyang Liu, Junzhou Huang, Casimir A. Kulikowski, Lin Yang:
Robust Visual Tracking Using Local Sparse Appearance Model and K-Selection. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2968-2981 (2013) - [j9]Adam Lopez, Matt Post, Chris Callison-Burch, Jonathan Weese, Juri Ganitkevitch, Narges Ahmidi, Olivia Buzek, Leah Hanson, Beaniesh Jamil, Matthias A. Lee, Ya-Ting Lin, Henry Pao, Fatima Rivera, Leili Shahriyari, Debu Sinha, Adam R. Teichert, Stephen Wampler, Michael Weinberger, Daguang Xu, Lin Yang, Shang Zhao:
Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT. Trans. Assoc. Comput. Linguistics 1: 165-178 (2013) - [c20]Fuyong Xing, Lin Yang:
Robust cell segmentation for non-small cell lung cancer. ISBI 2013: 386-389 - [c19]Hai Su, Fuyong Xing, Jonah D. Lee, Charlotte A. Peterson, Lin Yang:
Learning based automatic detection of myonuclei in isolated single skeletal muscle fibers using multi-focus image fusion. ISBI 2013: 432-435 - [c18]Fuyong Xing, Lin Yang:
Robust Selection-Based Sparse Shape Model for Lung Cancer Image Segmentation. MICCAI (3) 2013: 404-412 - [c17]Fuyong Xing, Hai Su, Lin Yang:
An Integrated Framework for Automatic Ki-67 Scoring in Pancreatic Neuroendocrine Tumor. MICCAI (1) 2013: 436-443 - [c16]Xin Qi, Rebekah H. Gensure, David J. Foran, Lin Yang:
Content-based white blood cell retrieval on bright-field pathology images. Medical Imaging: Digital Pathology 2013: 86760L - 2012
- [j8]Xin Qi, Fuyong Xing, David J. Foran, Lin Yang:
Robust Segmentation of Overlapping Cells in Histopathology Specimens Using Parallel Seed Detection and Repulsive Level Set. IEEE Trans. Biomed. Eng. 59(3): 754-765 (2012) - [c15]Fuyong Xing, Baiyang Liu, Xin Qi, David J. Foran, Lin Yang:
Digitized tissue microarray classification using sparse reconstruction. Medical Imaging: Image Processing 2012: 83144W - 2011
- [j7]Jianqin Qu, Leiguang Gong, Lin Yang:
A 3D point matching algorithm for affine registration. Int. J. Comput. Assist. Radiol. Surg. 6(2): 229-236 (2011) - [j6]David J. Foran, Lin Yang, Wenjin Chen, Jun Hu, Lauri A. Goodell, Michael Reiss, Fusheng Wang, Tahsin M. Kurç, Tony Pan, Ashish Sharma, Joel H. Saltz:
ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology. J. Am. Medical Informatics Assoc. 18(4): 403-415 (2011) - [j5]Lin Yang, Bogdan Georgescu, Yefeng Zheng, Yang Wang, Peter Meer, Dorin Comaniciu:
Prediction Based Collaborative Trackers (PCT): A Robust and Accurate Approach Toward 3D Medical Object Tracking. IEEE Trans. Medical Imaging 30(11): 1921-1932 (2011) - [c14]Baiyang Liu, Junzhou Huang, Lin Yang, Casimir A. Kulikowski:
Robust tracking using local sparse appearance model and K-selection. CVPR 2011: 1313-1320 - [c13]Baiyang Liu, Lin Yang, Casimir A. Kulikowski, Leiguang Gong, David J. Foran, Salma K. Jabbour, Ning J. Yue:
Dynamic online registration guided collaborative tracking of lung tumor movement in fluoroscopic videos. ISBI 2011: 414-418 - [c12]Xin Qi, Fuyong Xing, David J. Foran, Lin Yang:
Comparative performance analysis of stained histopathology specimens using RGB and multispectral imaging. Medical Imaging: Computer-Aided Diagnosis 2011: 79633B - 2010
- [c11]Baiyang Liu, Lin Yang, Junzhou Huang, Peter Meer, Leiguang Gong, Casimir A. Kulikowski:
Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization. ECCV (4) 2010: 624-637 - [c10]Patrick M. Widener, Tahsin M. Kurç, Wenjin Chen, Fusheng Wang, Lin Yang, Jun Hu, Vijay Kumar, Vicky Chu, Lee A. D. Cooper, Jun Kong, Ashish Sharma, Tony Pan, Joel H. Saltz, David J. Foran:
High Performance Computing Techniques for Scaling Image Analysis Workflows. PARA (2) 2010: 67-77
2000 – 2009
- 2009
- [j4]Lin Yang, Oncel Tuzel, Wenjin Chen, Peter Meer, Gratian Salaru, Lauri A. Goodell, David J. Foran:
PathMiner: A Web-Based Tool for Computer-Assisted Diagnostics in Pathology. IEEE Trans. Inf. Technol. Biomed. 13(3): 291-299 (2009) - [j3]Lin Yang, Wenjin Chen, Peter Meer, Gratian Salaru, Lauri A. Goodell, Viktors Berstis, David J. Foran:
Virtual Microscopy and Grid-Enabled Decision Support for Large-Scale Analysis of Imaged Pathology Specimens. IEEE Trans. Inf. Technol. Biomed. 13(4): 636-644 (2009) - [c9]Lin Yang, Leiguang Gong, Hong Zhang, John L. Nosher, David J. Foran:
A Parallel Point Matching Algorithm for Landmark Based Image Registration Using Multicore Platform. Euro-Par 2009: 936-947 - [c8]Hyunjoo Kim, Manish Parashar, David J. Foran, Lin Yang:
Investigating the use of autonomic cloudbursts for high-throughput medical image registration. GRID 2009: 34-41 - [c7]David J. Foran, Lin Yang, Oncel Tuzel, Wenjin Chen, Jun Hu, Tahsin M. Kurç, Renato Ferreira, Joel H. Saltz:
A caGrid-Enabled, Learning Based Image Segmentation Method for Histopathology Specimens. ISBI 2009: 1306-1309 - 2008
- [c6]Lin Yang, Bogdan Georgescu, Yefeng Zheng, Peter Meer, Dorin Comaniciu:
3D ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers. CVPR 2008 - [c5]Lin Yang, Bogdan Georgescu, Yefeng Zheng, David J. Foran, Dorin Comaniciu:
A fast and accurate tracking algorithm of left ventricles in 3D echocardiography. ISBI 2008: 221-224 - [c4]Lin Yang, Oncel Tuzel, Peter Meer, David J. Foran:
Automatic Image Analysis of Histopathology Specimens Using Concave Vertex Graph. MICCAI (1) 2008: 833-841 - 2007
- [j2]Oncel Tuzel, Lin Yang, Peter Meer, David J. Foran:
Classification of hematologic malignancies using texton signatures. Pattern Anal. Appl. 10(4): 277-290 (2007) - [c3]Lin Yang, Peter Meer, David J. Foran:
Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches. CVPR 2007 - [c2]Lin Yang, David J. Foran:
A Variational Framework for Partially Occluded Image Segmentation using Coarse to Fine Shape Alignment and Semi-Parametric Density Approximation. ICIP (1) 2007: 37-40 - [c1]Lin Yang, Wenjin Chen, Peter Meer, Gratian Salaru, Michael D. Feldman, David J. Foran:
High Throughput Analysis of Breast Cancer Specimens on the Grid. MICCAI (1) 2007: 617-625 - 2005
- [j1]Lin Yang, Peter Meer, David J. Foran:
Unsupervised segmentation based on robust estimation and color active contour models. IEEE Trans. Inf. Technol. Biomed. 9(3): 475-486 (2005)
Coauthor Index
[j48] [j43] [j42] [c64] [j40] [j39] [j37] [j34] [j33] [j32] [j31] [j30] [j29] [p7] [p6] [j28] [j27] [j26] [j25] [j24] [j23] [i11] [i7] [j22] [c48] [c47] [c46] [c44] [p4] [p3] [p1] [i6] [i5] [i4] [i2] [j19] [j18] [c42] [c41] [c40] [c38] [i1] [j16] [c36] [c33] [c32] [c31] [c30] [c29] [c27] [c25] [c24] [j15] [j14] [j13] [j12] [j11] [c23] [c22] [c20] [c19] [c18] [c17] [j8] [c15] [c12]
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