Comparative performance analysis of stained histopathology specimens using RGB and multispectral imaging. - Xin Qi 007; Fuyong Xing; David J. Foran; Lin Yang 002 (Computer-Aided Diagnosis, 2011)

Digitized tissue microarray classification using sparse reconstruction. - Fuyong Xing; Baiyang Liu; Xin Qi 007; David J. Foran; Lin Yang 002 (Image Processing, 2012)

Robust Segmentation of Overlapping Cells in Histopathology Specimens Using Parallel Seed Detection and Repulsive Level Set. - Xin Qi 007; Fuyong Xing; David J. Foran; Lin Yang 002 (IEEE Trans. Biomed. Eng., 2012)

Learning based automatic detection of myonuclei in isolated single skeletal muscle fibers using multi-focus image fusion. - Hai Su; Fuyong Xing; Jonah D. Lee; Charlotte A. Peterson; Lin Yang 002 (ISBI, 2013)

Robust cell segmentation for non-small cell lung cancer. - Fuyong Xing; Lin Yang 002 (ISBI, 2013)

An Integrated Framework for Automatic Ki-67 Scoring in Pancreatic Neuroendocrine Tumor. - Fuyong Xing; Hai Su; Lin Yang 002 (MICCAI (1), 2013)

Robust Selection-Based Sparse Shape Model for Lung Cancer Image Segmentation. - Fuyong Xing; Lin Yang 002 (MICCAI (3), 2013)

Touching adipocyte cells decomposition using combinatorial optimization. - Fujun Liu; Fuyong Xing; Hai Su; Lin Yang 002 (ISBI, 2014)

Robust muscle cell segmentation using region selection with dynamic programming. - Fujun Liu; Fuyong Xing; Lin Yang 002 (ISBI, 2014)

Parallel content-based sub-image retrieval using hierarchical searching. - Lin Yang 002; Xin Qi 007; Fuyong Xing; Tahsin M. Kurç; Joel H. Saltz; David J. Foran (Bioinform., 2014)

Content-based histopathology image retrieval using CometCloud. - Xin Qi 007; Daihou Wang; Ivan Rodero; Javier Diaz Montes; Rebekah H. Gensure; Fuyong Xing; Hua Zhong; Lauri A. Goodell; Manish Parashar; David J. Foran; Lin Yang 002 (BMC Bioinform., 2014)

Novel image markers for non-small cell lung cancer classification and survival prediction. - Hongyuan Wang; Fuyong Xing; Hai Su; Arnold J. Stromberg; Lin Yang 002 (BMC Bioinform., 2014)

Automatic Ki-67 Counting Using Robust Cell Detection and Online Dictionary Learning. - Fuyong Xing; Hai Su; Janna H. Neltner; Lin Yang 002 (IEEE Trans. Biomed. Eng., 2014)

Automatic Myonuclear Detection in IsolatedSingle Muscle Fibers Using Robust EllipseFitting and Sparse Representation. - Hai Su; Fuyong Xing; Jonah D. Lee; Charlotte A. Peterson; Lin Yang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Robust automatic breast cancer staging using a combination of functional genomics and image-omics. - Hai Su; Yong Shen; Fuyong Xing; Xin Qi 007; Kim M. Hirshfield; Lin Yang 002; David J. Foran (EMBC, 2015)

Automatic muscle perimysium annotation using deep convolutional neural network. - Manish Sapkota; Fuyong Xing; Hai Su; Lin Yang 002 (ISBI, 2015)

Region segmentation in histopathological breast cancer images using deep convolutional neural network. - Hai Su; Fujun Liu; Yuanpu Xie; Fuyong Xing; Sreenivasan Meyyappan; Lin Yang 002 (ISBI, 2015)

Unsupervised shape prior modeling for cell segmentation in neuroendocrine tumor. - Fuyong Xing; Lin Yang 002 (ISBI, 2015)

Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation. - Fujun Liu; Fuyong Xing; Zizhao Zhang; Mason McGough; Lin Yang 002 (MICCAI (3), 2015)

Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders. - Hai Su; Fuyong Xing; Xiangfei Kong; Yuanpu Xie; Shaoting Zhang 001; Lin Yang 002 (MICCAI (3), 2015)

Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images. - Yuanpu Xie; Xiangfei Kong; Fuyong Xing; Fujun Liu; Hai Su; Lin Yang 002 (MICCAI (3), 2015)

Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network. - Yuanpu Xie; Fuyong Xing; Xiangfei Kong; Hai Su; Lin Yang 002 (MICCAI (3), 2015)

Fast Cell Segmentation Using Scalable Sparse Manifold Learning and Affine Transform-Approximated Active Contour. - Fuyong Xing; Lin Yang 002 (MICCAI (3), 2015)

High-throughput histopathological image analysis via robust cell segmentation and hashing. - Xiaofan Zhang 002; Fuyong Xing; Hai Su; Lin Yang 002; Shaoting Zhang 001 (Medical Image Anal., 2015)

SemiContour: A Semi-Supervised Learning Approach for Contour Detection. - Zizhao Zhang; Fuyong Xing; Xiaoshuang Shi; Lin Yang 002 (CVPR, 2016)

Kernel-Based Supervised Discrete Hashing for Image Retrieval. - Xiaoshuang Shi; Fuyong Xing; Jinzheng Cai; Zizhao Zhang; Yuanpu Xie; Lin Yang 002 (ECCV (7), 2016)

Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks. - Jinzheng Cai; Le Lu 001; Zizhao Zhang; Fuyong Xing; Lin Yang 002; Qian Yin (MICCAI (2), 2016)

Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation. - Fuyong Xing; Xiaoshuang Shi; Zizhao Zhang; Jinzheng Cai; Yuanpu Xie; Lin Yang 002 (MICCAI (3), 2016)

Robust Cell Detection of Histopathological Brain Tumor Images Using Sparse Reconstruction and Adaptive Dictionary Selection. - Hai Su; Fuyong Xing; Lin Yang 002 (IEEE Trans. Medical Imaging, 2016)

An Automatic Learning-Based Framework for Robust Nucleus Segmentation. - Fuyong Xing; Yuanpu Xie; Lin Yang 002 (IEEE Trans. Medical Imaging, 2016)

Deep Voting and Structured Regression for Microscopy Image Analysis. - Yuanpu Xie; Fuyong Xing; Lin Yang 002 (Deep Learning for Medical Image Analysis, 2017)

Asymmetric Discrete Graph Hashing. - Xiaoshuang Shi; Fuyong Xing; Kaidi Xu; Manish Sapkota; Lin Yang 002 (AAAI, 2017)

MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network. - Zizhao Zhang; Yuanpu Xie; Fuyong Xing; Mason McGough; Lin Yang 002 (CVPR, 2017)

Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks. - Jinzheng Cai; Le Lu 001; Yuanpu Xie; Fuyong Xing; Lin Yang 002 (MICCAI (3), 2017)

Cell Encoding for Histopathology Image Classification. - Xiaoshuang Shi; Fuyong Xing; Yuanpu Xie; Hai Su; Lin Yang 002 (MICCAI (2), 2017)

Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function. - Jinzheng Cai; Le Lu 001; Yuanpu Xie; Fuyong Xing; Lin Yang 002 (CoRR, 2017)

Revisiting Graph Construction for Fast Image Segmentation. - Zizhao Zhang; Fuyong Xing; Xiaoshuang Shi; Lin Yang 002 (CoRR, 2017)

Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection. - Zizhao Zhang; Fuyong Xing; Hai Su; Xiaoshuang Shi; Lin Yang 002 (CoRR, 2017)

Supervised graph hashing for histopathology image retrieval and classification. - Xiaoshuang Shi; Fuyong Xing; Kaidi Xu; Yuanpu Xie; Hai Su; Lin Yang 002 (Medical Image Anal., 2017)

Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis. - Gustavo Carneiro 001; Yefeng Zheng 001; Fuyong Xing; Lin Yang 002 (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders. - Hai Su; Fuyong Xing; Xiangfei Kong; Yuanpu Xie; Shaoting Zhang 001; Lin Yang 002 (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning. - Jinzheng Cai; Le Lu 001; Fuyong Xing; Lin Yang 002 (CoRR, 2018)

Efficient and robust cell detection: A structured regression approach. - Yuanpu Xie; Fuyong Xing; Xiaoshuang Shi; Xiangfei Kong; Hai Su; Lin Yang 002 (Medical Image Anal., 2018)

Self-learning for face clustering. - Xiaoshuang Shi; Zhenhua Guo 001; Fuyong Xing; Jinzheng Cai; Lin Yang 002 (Pattern Recognit., 2018)

Pairwise based deep ranking hashing for histopathology image classification and retrieval. - Xiaoshuang Shi; Manish Sapkota; Fuyong Xing; Fujun Liu; Lei Cui 004; Lin Yang 002 (Pattern Recognit., 2018)

Revisiting graph construction for fast image segmentation. - Zizhao Zhang; Fuyong Xing; Hanzi Wang; Yan Yan 001; Ying Huang; Xiaoshuang Shi; Lin Yang 002 (Pattern Recognit., 2018)

AIIMDs: An Integrated Framework of Automatic Idiopathic Inflammatory Myopathy Diagnosis for Muscle. - Manish Sapkota; Fujun Liu; Yuanpu Xie; Hai Su; Fuyong Xing; Lin Yang 002 (IEEE J. Biomed. Health Informatics, 2018)

Deep Learning in Microscopy Image Analysis: A Survey. - Fuyong Xing; Yuanpu Xie; Hai Su; Fujun Liu; Lin Yang 002 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Pancreas Segmentation in CT and MRI via Task-Specific Network Design and Recurrent Neural Contextual Learning. - Jinzheng Cai; Le Lu 001; Fuyong Xing; Lin Yang 002 (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Deep Learning for Muscle Pathology Image Analysis. - Yuanpu Xie; Fujun Liu; Fuyong Xing; Lin Yang 002 (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Adversarial Domain Adaptation and Pseudo-Labeling for Cross-Modality Microscopy Image Quantification. - Fuyong Xing; Tell Bennett; Debashis Ghosh (MICCAI (1), 2019)

Towards pixel-to-pixel deep nucleus detection in microscopy images. - Fuyong Xing; Yuanpu Xie; Xiaoshuang Shi; Pingjun Chen; Zizhao Zhang; Lin Yang 002 (BMC Bioinform., 2019)

Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images. - Fuyong Xing; Yuanpu Xie; Xiaoshuang Shi; Pingjun Chen; Zizhao Zhang; Lin Yang 002 (BMC Bioinform., 2019)

Structured orthogonal matching pursuit for feature selection. - Xiaoshuang Shi; Fuyong Xing; Zhenhua Guo 001; Hai Su; Fujun Liu; Lin Yang 002 (Neurocomputing, 2019)

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. - Zizhao Zhang; Pingjun Chen; Mason McGough; Fuyong Xing; Chunbao Wang 002; Marilyn Bui; Yuanpu Xie; Manish Sapkota; Lei Cui 004; Jaspreet Singh Dhillon; Nazeel Ahmad; Farah K. Khalil; et al. (Nat. Mach. Intell., 2019)

Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning. - Zizhao Zhang; Pingjun Chen; Mason McGough; Fuyong Xing; Chunbao Wang 002; Marilyn Bui; Yuanpu Xie; Manish Sapkota; Lei Cui 004; Jasreman Dhillon; Nazeel Ahmad; Farah K. Khalil; et al. (Nat. Mach. Intell., 2019)

Texture analysis for muscular dystrophy classification in MRI with improved class activation mapping. - Jinzheng Cai; Fuyong Xing; Abhinandan Batra; Fujun Liu; Glenn A. Walter; Krista Vandenborne; Lin Yang 002 (Pattern Recognit., 2019)

Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images. - Fuyong Xing; Toby C. Cornish; Tell Bennett; Debashis Ghosh; Lin Yang 002 (IEEE Trans. Biomed. Eng., 2019)

Deep Convolutional Hashing for Low-Dimensional Binary Embedding of Histopathological Images. - Manish Sapkota; Xiaoshuang Shi; Fuyong Xing; Lin Yang 002 (IEEE J. Biomed. Health Informatics, 2019)

Loss-Based Attention for Deep Multiple Instance Learning. - Xiaoshuang Shi; Fuyong Xing; Yuanpu Xie; Zizhao Zhang; Lei Cui 004; Lin Yang 002 (AAAI, 2020)

Multi-field of View Aggregation and Context Encoding for Single-Stage Nucleus Recognition. - Tian Bai 002; Jiayu Xu 005; Fuyong Xing (MICCAI (5), 2020)

A novel deep learning method for extracting unspecific biomedical relation. - Tian Bai 002; Chunyu Wang; Ye Wang; Lan Huang 002; Fuyong Xing (Concurr. Comput. Pract. Exp., 2020)

Cluster Activation Mapping with Applications to Medical Imaging. - Sarah Ryan; Nichole Carlson; Harris Butler; Tasha Fingerlin; Lisa Maier; Fuyong Xing (CoRR, 2020)

Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing. - Xiaoshuang Shi; Zhenhua Guo 001; Fuyong Xing; Yun Liang 012; Lin Yang 002 (Int. J. Comput. Vis., 2020)

Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis. - Xiaoshuang Shi; Hai Su; Fuyong Xing; Yun Liang 012; Gang Qu 002; Lin Yang 002 (Medical Image Anal., 2020)

Self-paced Resistance Learning against Overfitting on Noisy Labels. - Xiaoshuang Shi; Zhenhua Guo 001; Fuyong Xing; Yun Liang 012; Xiaofeng Zhu 001 (CoRR, 2021)

Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks. - Xiaoshuang Shi; Fuyong Xing; Kaidi Xu; Pingjun Chen; Yun Liang 012; Zhiyong Lu; Zhenhua Guo 001 (IEEE Trans. Image Process., 2021)

A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing. - Xiaoshuang Shi; Fuyong Xing; Zizhao Zhang; Manish Sapkota; Zhenhua Guo 001; Lin Yang 002 (IEEE Trans. Image Process., 2021)

Bidirectional Mapping-Based Domain Adaptation for Nucleus Detection in Cross-Modality Microscopy Images. - Fuyong Xing; Toby C. Cornish; Tellen D. Bennett; Debashis Ghosh (IEEE Trans. Medical Imaging, 2021)

Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark Localization. - Jiawei Liu; Fuyong Xing; Abbas Shaikh; Marius George Linguraru; Antonio R. Porras (MICCAI (8), 2022)

Low-Resource Adversarial Domain Adaptation for Cross-modality Nucleus Detection. - Fuyong Xing; Toby C. Cornish (MICCAI (8), 2022)

Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images. - Xinyi Yang; Bennett B. Chin; Michael Silosky; Daniel Litwiller; Debashis Ghosh; Fuyong Xing (MICCAI (5), 2023)

A platform-independent framework for phenotyping of multiplex tissue imaging data. - Mansooreh Ahmadian; Christian Rickert; Angela Minic; Julia Wrobel; Benjamin G. Bitler; Fuyong Xing; Michael Angelo; Elena W. Y. Hsieh; Debashis Ghosh; Kimberly R. Jordan (PLoS Comput. Biol., 2023)

Joint Cranial Bone Labeling and Landmark Detection in Pediatric CT Images Using Context Encoding. - Jiawei Liu; Fuyong Xing; Abbas Shaikh; Brooke French; Marius George Linguraru; Antonio R. Porras (IEEE Trans. Medical Imaging, 2023)

Learning with limited target data to detect cells in cross-modality images. - Fuyong Xing; Xinyi Yang; Toby C. Cornish; Debashis Ghosh (Medical Image Anal., 2023)

Location-Aware Encoding for Lesion Detection in $^{68}$Ga-DOTATATE Positron Emission Tomography Images. - Fuyong Xing; Michael Silosky; Debashis Ghosh; Bennett B. Chin (IEEE Trans. Biomed. Eng., 2024)

Learning Without Real Data Annotations to Detect Hepatic Lesions in PET Images. - Xinyi Yang; Bennett B. Chin; Michael Silosky; Jonathan Wehrend; Daniel Litwiller; Debashis Ghosh; Fuyong Xing (IEEE Trans. Biomed. Eng., 2024)

Population-Driven Synthesis of Personalized Cranial Development From Cross-Sectional Pediatric CT Images. - Jiawei Liu; Fuyong Xing; Connor Elkhill; Marius George Linguraru; Randy C. Miles; Ines A. Cruz-Guerrero; Antonio R. Porras (IEEE Trans. Biomed. Eng., 2025)