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Lin Yang 0002
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Publications
- 2023
- [c49]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 - [c48]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 - 2022
- [j41]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) - [c47]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 - [c46]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 - [i14]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) - 2021
- [j40]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) - [j39]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) - [j38]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) - [j37]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) - [c45]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 - [c44]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 - [c43]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 - 2020
- [j36]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) - [j35]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) - [j34]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) - [j33]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) - [j32]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) - [c42]Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Zizhao Zhang, Lei Cui, Lin Yang:
Loss-Based Attention for Deep Multiple Instance Learning. AAAI 2020: 5742-5749 - [c41]Pingjun Chen, Jinzheng Cai, Lin Yang:
Chromosome Segmentation via Data Simulation and Shape Learning. EMBC 2020: 1637-1640 - [c40]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 - [c39]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 - [i13]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) - 2019
- [j31]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) - [j30]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) - [j29]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) - [j28]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) - [j27]Xiaoshuang Shi, Fuyong Xing, Zhenhua Guo, Hai Su, Fujun Liu, Lin Yang:
Structured orthogonal matching pursuit for feature selection. Neurocomputing 349: 164-172 (2019) - [j26]Pingjun Chen, Lin Yang:
tissueloc: Whole slide digital pathology image tissue localization. J. Open Source Softw. 4(33): 1148 (2019) - [j25]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) - [j24]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) - [j23]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) - [j22]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) - [j21]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) - [j20]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) - [j19]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) - [c38]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 - [c37]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 - [c36]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] - 2018
- [j18]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) - [j17]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) - [j16]Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Jinzheng Cai, Lin Yang:
Self-learning for face clustering. Pattern Recognit. 79: 279-289 (2018) - [j15]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) - [j14]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) - [j13]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) - [c35]Lei Cui, Jun Feng, Lin Yang:
Semi-supervised Deep Linear Discriminant Analysis for Histopathology Image Classification. BIBM 2018: 2333-2337 - [c34]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 - [c33]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 - [c32]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 - [i12]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) - [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
- [j12]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) - [c31]Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang:
Asymmetric Discrete Graph Hashing. AAAI 2017: 2541-2547 - [c30]Zizhao Zhang, Yuanpu Xie, Fuyong Xing, Mason McGough, Lin Yang:
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network. CVPR 2017: 3549-3557 - [c29]Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Hai Su, Lin Yang:
Cell Encoding for Histopathology Image Classification. MICCAI (2) 2017: 30-38 - [c28]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 - [c27]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 - [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
- [j11]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) - [j10]Fuyong Xing, Yuanpu Xie, Lin Yang:
An Automatic Learning-Based Framework for Robust Nucleus Segmentation. IEEE Trans. Medical Imaging 35(2): 550-566 (2016) - [j9]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) - [c26]Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang:
SemiContour: A Semi-Supervised Learning Approach for Contour Detection. CVPR 2016: 251-259 - [c25]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 - [c24]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 - [c23]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
- [j8]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) - [j7]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) - [c22]Xiaofan Zhang, Hai Su, Lin Yang, Shaoting Zhang:
Fine-grained histopathological image analysis via robust segmentation and large-scale retrieval. CVPR 2015: 5361-5368 - [c21]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 - [c20]Xiaoshuang Shi, Zhenhua Guo, Yujiu Yang, Lin Yang:
Within-class penalty based multi-class support vector machine. ICIP 2015: 2746-2750 - [c19]Xiaofan Zhang, Hai Su, Lin Yang, Shaoting Zhang:
Weighted Hashing with Multiple Cues for Cell-Level Analysis of Histopathological Images. IPMI 2015: 303-314 - [c18]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 - [c17]Manish Sapkota, Fuyong Xing, Hai Su, Lin Yang:
Automatic muscle perimysium annotation using deep convolutional neural network. ISBI 2015: 205-208 - [c16]Fuyong Xing, Lin Yang:
Unsupervised shape prior modeling for cell segmentation in neuroendocrine tumor. ISBI 2015: 1443-1446 - [c15]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 - [c14]Fuyong Xing, Lin Yang:
Fast Cell Segmentation Using Scalable Sparse Manifold Learning and Affine Transform-Approximated Active Contour. MICCAI (3) 2015: 332-339 - [c13]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 - [c12]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 - [c11]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
- [j6]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) - [j5]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) - [j4]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) - [j3]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) - [j2]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) - [c10]Fujun Liu, Fuyong Xing, Lin Yang:
Robust muscle cell segmentation using region selection with dynamic programming. ISBI 2014: 521-524 - [c9]Fujun Liu, Fuyong Xing, Hai Su, Lin Yang:
Touching adipocyte cells decomposition using combinatorial optimization. ISBI 2014: 1340-1343 - [c8]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
- [c7]Fuyong Xing, Lin Yang:
Robust cell segmentation for non-small cell lung cancer. ISBI 2013: 386-389 - [c6]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 - [c5]Fuyong Xing, Lin Yang:
Robust Selection-Based Sparse Shape Model for Lung Cancer Image Segmentation. MICCAI (3) 2013: 404-412 - [c4]Fuyong Xing, Hai Su, Lin Yang:
An Integrated Framework for Automatic Ki-67 Scoring in Pancreatic Neuroendocrine Tumor. MICCAI (1) 2013: 436-443 - 2012
- [j1]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) - [c3]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
- [c2]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 - 2009
- [c1]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
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