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2020 – today
- 2024
[j36]Fuyong Xing
, Michael Silosky, Debashis Ghosh, Bennett B. Chin:
Location-Aware Encoding for Lesion Detection in $^{68}$Ga-DOTATATE Positron Emission Tomography Images. IEEE Trans. Biomed. Eng. 71(1): 247-257 (2024)- [j35]Xinyi Yang, Bennett B. Chin, Michael Silosky, Jonathan Wehrend, Daniel Litwiller, Debashis Ghosh, Fuyong Xing:
Learning Without Real Data Annotations to Detect Hepatic Lesions in PET Images. IEEE Trans. Biomed. Eng. 71(2): 679-688 (2024) - 2023
- [j34]Fuyong Xing, Xinyi Yang, Toby C. Cornish, Debashis Ghosh:
Learning with limited target data to detect cells in cross-modality images. Medical Image Anal. 90: 102969 (2023) - [j33]Mansooreh Ahmadian, Christian Rickert, Angela Minic, Julia Wrobel, Benjamin G. Bitler, Fuyong Xing, Michael Angelo, Elena W. Y. Hsieh, Debashis Ghosh, Kimberly R. Jordan:
A platform-independent framework for phenotyping of multiplex tissue imaging data. PLoS Comput. Biol. 19(9) (2023) - [j32]Jiawei Liu, Fuyong Xing, Abbas Shaikh, Brooke French, Marius George Linguraru, Antonio R. Porras:
Joint Cranial Bone Labeling and Landmark Detection in Pediatric CT Images Using Context Encoding. IEEE Trans. Medical Imaging 42(10): 3117-3126 (2023) - [c31]Xinyi Yang, Bennett B. Chin, Michael Silosky, Daniel Litwiller, Debashis Ghosh, Fuyong Xing:
Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images. MICCAI (5) 2023: 116-126 - 2022
- [c30]Jiawei Liu, Fuyong Xing, Abbas Shaikh, Marius George Linguraru, Antonio R. Porras:
Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark Localization. MICCAI (8) 2022: 286-296 - [c29]Fuyong Xing, Toby C. Cornish:
Low-Resource Adversarial Domain Adaptation for Cross-modality Nucleus Detection. MICCAI (8) 2022: 639-649 - 2021
- [j31]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) - [j30]Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Pingjun Chen, Yun Liang, Zhiyong Lu, Zhenhua Guo:
Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks. IEEE Trans. Image Process. 30: 1662-1675 (2021) - [j29]Fuyong Xing, Toby C. Cornish, Tellen D. Bennett, Debashis Ghosh:
Bidirectional Mapping-Based Domain Adaptation for Nucleus Detection in Cross-Modality Microscopy Images. IEEE Trans. Medical Imaging 40(10): 2880-2896 (2021) - [i9]Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yun Liang, Xiaofeng Zhu:
Self-paced Resistance Learning against Overfitting on Noisy Labels. CoRR abs/2105.03059 (2021) - 2020
- [j28]Tian Bai, Chunyu Wang, Ye Wang, Lan Huang, Fuyong Xing:
A novel deep learning method for extracting unspecific biomedical relation. Concurr. Comput. Pract. Exp. 32(1) (2020) - [j27]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) - [j26]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) - [c28]Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Zizhao Zhang, Lei Cui, Lin Yang:
Loss-Based Attention for Deep Multiple Instance Learning. AAAI 2020: 5742-5749 - [c27]Tian Bai, Jiayu Xu, Fuyong Xing:
Multi-field of View Aggregation and Context Encoding for Single-Stage Nucleus Recognition. MICCAI (5) 2020: 382-392 - [i8]Sarah Ryan, Nichole Carlson, Harris Butler, Tasha Fingerlin, Lisa Maier, Fuyong Xing:
Cluster Activation Mapping with Applications to Medical Imaging. CoRR abs/2010.04794 (2020)
2010 – 2019
- 2019
- [j25]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) - [j24]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) - [j23]Xiaoshuang Shi, Fuyong Xing, Zhenhua Guo, Hai Su, Fujun Liu, Lin Yang:
Structured orthogonal matching pursuit for feature selection. Neurocomputing 349: 164-172 (2019) - [j22]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) - [j21]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) - [j20]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) - [j19]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) - [j18]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) - [j17]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) - [c26]Fuyong Xing, Tell Bennett, Debashis Ghosh:
Adversarial Domain Adaptation and Pseudo-Labeling for Cross-Modality Microscopy Image Quantification. MICCAI (1) 2019: 740-749 - [p5]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 - [p4]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 - 2018
- [j16]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) - [j15]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) - [j14]Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Jinzheng Cai, Lin Yang:
Self-learning for face clustering. Pattern Recognit. 79: 279-289 (2018) - [j13]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) - [j12]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) - [j11]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) - [i7]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) - [i6]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
- [j10]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) - [c25]Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang:
Asymmetric Discrete Graph Hashing. AAAI 2017: 2541-2547 - [c24]Zizhao Zhang, Yuanpu Xie, Fuyong Xing, Mason McGough, Lin Yang:
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network. CVPR 2017: 3549-3557 - [c23]Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Hai Su, Lin Yang:
Cell Encoding for Histopathology Image Classification. MICCAI (2) 2017: 30-38 - [c22]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 - [p3]Yuanpu Xie, Fuyong Xing, Lin Yang:
Deep Voting and Structured Regression for Microscopy Image Analysis. Deep Learning for Medical Image Analysis 2017: 155-175 - [p2]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 - [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 - [i5]Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang:
Revisiting Graph Construction for Fast Image Segmentation. CoRR abs/1702.05650 (2017) - [i4]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) - [i3]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) - [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
- [j9]Fuyong Xing, Yuanpu Xie, Lin Yang:
An Automatic Learning-Based Framework for Robust Nucleus Segmentation. IEEE Trans. Medical Imaging 35(2): 550-566 (2016) - [j8]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) - [c21]Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang:
SemiContour: A Semi-Supervised Learning Approach for Contour Detection. CVPR 2016: 251-259 - [c20]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 - [c19]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 - [c18]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
- [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) - [c17]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 - [c16]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 - [c15]Manish Sapkota, Fuyong Xing, Hai Su, Lin Yang:
Automatic muscle perimysium annotation using deep convolutional neural network. ISBI 2015: 205-208 - [c14]Fuyong Xing, Lin Yang:
Unsupervised shape prior modeling for cell segmentation in neuroendocrine tumor. ISBI 2015: 1443-1446 - [c13]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 - [c12]Fuyong Xing, Lin Yang:
Fast Cell Segmentation Using Scalable Sparse Manifold Learning and Affine Transform-Approximated Active Contour. MICCAI (3) 2015: 332-339 - [c11]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 - [c10]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 - [c9]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) - [c8]Fujun Liu, Fuyong Xing, Lin Yang:
Robust muscle cell segmentation using region selection with dynamic programming. ISBI 2014: 521-524 - [c7]Fujun Liu, Fuyong Xing, Hai Su, Lin Yang:
Touching adipocyte cells decomposition using combinatorial optimization. ISBI 2014: 1340-1343 - 2013
- [c6]Fuyong Xing, Lin Yang:
Robust cell segmentation for non-small cell lung cancer. ISBI 2013: 386-389 - [c5]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 - [c4]Fuyong Xing, Lin Yang:
Robust Selection-Based Sparse Shape Model for Lung Cancer Image Segmentation. MICCAI (3) 2013: 404-412 - [c3]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) - [c2]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
- [c1]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
Coauthor Index
[j31] [j27] [j26] [c28] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [p5] [p4] [j16] [j15] [j14] [j13] [j12] [j11] [i7] [i6] [j10] [c25] [c24] [c23] [c22] [p3] [p2] [p1] [i5] [i4] [i3] [i2] [j9] [j8] [c21] [c20] [c19] [c18] [i1] [j7] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [j6] [j5] [j4] [j3] [j2] [c8] [c7] [c6] [c5] [c4] [c3] [j1] [c2] [c1]
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