Unsupervised segmentation based on robust estimation and color active contour models. - Lin Yang 002; Peter Meer; David J. Foran (IEEE Trans. Inf. Technol. Biomed., 2005)

Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches. - Lin Yang 002; Peter Meer; David J. Foran (CVPR, 2007)

A Variational Framework for Partially Occluded Image Segmentation using Coarse to Fine Shape Alignment and Semi-Parametric Density Approximation. - Lin Yang 002; David J. Foran (ICIP (1), 2007)

High Throughput Analysis of Breast Cancer Specimens on the Grid. - Lin Yang 002; Wenjin Chen; Peter Meer; Gratian Salaru; Michael D. Feldman; David J. Foran (MICCAI (1), 2007)

Classification of hematologic malignancies using texton signatures. - Oncel Tuzel; Lin Yang 002; Peter Meer; David J. Foran (Pattern Anal. Appl., 2007)

3D ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers. - Lin Yang 002; Bogdan Georgescu; Yefeng Zheng 001; Peter Meer; Dorin Comaniciu (CVPR, 2008)

A fast and accurate tracking algorithm of left ventricles in 3D echocardiography. - Lin Yang 002; Bogdan Georgescu; Yefeng Zheng 001; David J. Foran; Dorin Comaniciu (ISBI, 2008)

Automatic Image Analysis of Histopathology Specimens Using Concave Vertex Graph. - Lin Yang 002; Oncel Tuzel; Peter Meer; David J. Foran (MICCAI (1), 2008)

A Parallel Point Matching Algorithm for Landmark Based Image Registration Using Multicore Platform. - Lin Yang 002; Leiguang Gong; Hong Zhang; John L. Nosher; David J. Foran (Euro-Par, 2009)

Investigating the use of autonomic cloudbursts for high-throughput medical image registration. - Hyunjoo Kim; Manish Parashar; David J. Foran; Lin Yang 002 (GRID, 2009)

A caGrid-Enabled, Learning Based Image Segmentation Method for Histopathology Specimens. - David J. Foran; Lin Yang 002; Oncel Tuzel; Wenjin Chen; Jun Hu; Tahsin M. Kurç; Renato Ferreira 001; Joel H. Saltz (ISBI, 2009)

Virtual Microscopy and Grid-Enabled Decision Support for Large-Scale Analysis of Imaged Pathology Specimens. - Lin Yang 002; Wenjin Chen; Peter Meer; Gratian Salaru; Lauri A. Goodell; Viktors Berstis; David J. Foran (IEEE Trans. Inf. Technol. Biomed., 2009)

PathMiner: A Web-Based Tool for Computer-Assisted Diagnostics in Pathology. - Lin Yang 002; Oncel Tuzel; Wenjin Chen; Peter Meer; Gratian Salaru; Lauri A. Goodell; David J. Foran (IEEE Trans. Inf. Technol. Biomed., 2009)

Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization. - Baiyang Liu; Lin Yang 002; Junzhou Huang; Peter Meer; Leiguang Gong; Casimir A. Kulikowski (ECCV (4), 2010)

High Performance Computing Techniques for Scaling Image Analysis Workflows. - Patrick M. Widener; Tahsin M. Kurç; Wenjin Chen; Fusheng Wang 001; Lin Yang 002; Jun Hu; Vijay Kumar; Vicky Chu; Lee Cooper 001; Jun Kong 002; Ashish Sharma 001; Tony Pan; et al. (PARA (2), 2010)

Robust tracking using local sparse appearance model and K-selection. - Baiyang Liu; Junzhou Huang; Lin Yang 002; Casimir A. Kulikowski (CVPR, 2011)

Dynamic online registration guided collaborative tracking of lung tumor movement in fluoroscopic videos. - Baiyang Liu; Lin Yang 002; Casimir A. Kulikowski; Leiguang Gong; David J. Foran; Salma K. Jabbour; Ning J. Yue (ISBI, 2011)

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)

A 3D point matching algorithm for affine registration. - Jianqin Qu; Leiguang Gong; Lin Yang 002 (Int. J. Comput. Assist. Radiol. Surg., 2011)

ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology. - David J. Foran; Lin Yang 002; Wenjin Chen; Jun Hu; Lauri A. Goodell; Michael Reiss; Fusheng Wang 001; Tahsin M. Kurç; Tony Pan; Ashish Sharma 001; Joel H. Saltz (J. Am. Medical Informatics Assoc., 2011)

Prediction Based Collaborative Trackers (PCT): A Robust and Accurate Approach Toward 3D Medical Object Tracking. - Lin Yang 002; Bogdan Georgescu; Yefeng Zheng 001; Yang Wang 001; Peter Meer; Dorin Comaniciu (IEEE Trans. Medical Imaging, 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)

Content-based white blood cell retrieval on bright-field pathology images. - Xin Qi 007; Rebekah H. Gensure; David J. Foran; Lin Yang 002 (Digital Pathology, 2013)

Robust Visual Tracking Using Local Sparse Appearance Model and K-Selection. - Baiyang Liu; Junzhou Huang; Casimir A. Kulikowski; Lin Yang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT. - 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; et al. (Trans. Assoc. Comput. Linguistics, 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)

Mining Histopathological Images via Composite Hashing and Online Learning. - Xiaofan Zhang 002; Lin Yang 002; Wei Liu 005; Hai Su; Shaoting Zhang 001 (MICCAI (2), 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)

Fine-grained histopathological image analysis via robust segmentation and large-scale retrieval. - Xiaofan Zhang 002; Hai Su; Lin Yang 002; Shaoting Zhang 001 (CVPR, 2015)

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)

Within-class penalty based multi-class support vector machine. - Xiaoshuang Shi; Zhenhua Guo 001; Yujiu Yang; Lin Yang 002 (ICIP, 2015)

Weighted Hashing with Multiple Cues for Cell-Level Analysis of Histopathological Images. - Xiaofan Zhang 002; Hai Su; Lin Yang 002; Shaoting Zhang 001 (IPMI, 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)

Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis. - Menglin Jiang; Shaoting Zhang 001; Junzhou Huang; Lin Yang 002; Dimitris N. Metaxas (MICCAI (3), 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)

A Novel Cell Detection Method Using Deep Convolutional Neural Network and Maximum-Weight Independent Set. - Fujun Liu; 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)

Scalable analysis of Big pathology image data cohorts using efficient methods and high-performance computing strategies. - Tahsin M. Kurç; Xin Qi 007; Daihou Wang; Fusheng Wang 001; George Teodoro; Lee Cooper 001; Michael Nalisnik; Lin Yang 002; Joel H. Saltz; David J. Foran (BMC Bioinform., 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)

Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation. - Yuanpu Xie; Zizhao Zhang; Manish Sapkota; Lin Yang 002 (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)

Scalable histopathological image analysis via supervised hashing with multiple features. - Menglin Jiang; Shaoting Zhang 001; Junzhou Huang; Lin Yang 002; Dimitris N. Metaxas (Medical Image Anal., 2016)

Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis. - Xiaoshuang Shi; Zhenhua Guo 001; Feiping Nie 001; Lin Yang 002; Jane You; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 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)

TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References. - Zizhao Zhang; Pingjun Chen; Manish Sapkota; Lin Yang 002 (MICCAI (3), 2017)

Integrative Analysis for Lung Adenocarcinoma Predicts Morphological Features Associated with Genetic Variations. - Chao Wang 081; Hai Su; Lin Yang 002; Kun Huang 001 (PSB, 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)

A Novel Cell Detection Method Using Deep Convolutional Neural Network and Maximum-Weight Independent Set. - Fujun Liu; 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)

Semi-supervised Deep Linear Discriminant Analysis for Histopathology Image Classification. - Lei Cui 004; Jun Feng 003; Lin Yang 002 (BIBM, 2018)

City-Wide Influenza Forecasting based on Multi-Source Data. - Kun Su; Yu Xiong; Li Qi; Yu Xia; Baisong Li; Lin Yang 002; Qin Li; Wenge Tang; Xian Li; Xiaowen Ruan; Shaofeng Lu; Xianxian Chen; et al. (IEEE BigData, 2018)

Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network. - Zizhao Zhang; Lin Yang 002; Yefeng Zheng 001 (CVPR, 2018)

Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. - Jinzheng Cai; Le Lu 001; Adam P. Harrison; Xiaoshuang Shi; Pingjun Chen; Lin Yang 002 (MICCAI (2), 2018)

Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST. - Jinzheng Cai; Youbao Tang; Le Lu 001; Adam P. Harrison; Ke Yan 006; Jing Xiao 006; Lin Yang 002; Ronald M. Summers (MICCAI (4), 2018)

CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement. - Youbao Tang; Jinzheng Cai; Le Lu 001; Adam P. Harrison; Ke Yan 006; Jing Xiao 006; Lin Yang 002; Ronald M. Summers (MLMI@MICCAI, 2018)

Session introduction. - Heng Huang; Li Shen 001; Paul M. Thompson; Kun Huang 001; Junzhou Huang; Lin Yang 002 (PSB, 2018)

Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST. - Jinzheng Cai; Youbao Tang; Le Lu 001; Adam P. Harrison; Ke Yan 006; Jing Xiao 006; Lin Yang 002; Ronald M. Summers (CoRR, 2018)

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 Hashing and Its Application for Histopathology Image Analysis. - Xiaoshuang Shi; 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)

Global Bank: A Guided Pathway of Encoding and Decoding for Pathological Image Analysis. - Hansheng Li; Jun Feng 003; Baosheng Kang; Yuxin Kang; Feihong Liu; Wenli Hui; Qirong Bo; Chunbao Wang 002; Lin Yang 002; Lei Cui 004 (BIBM, 2019)

$S^{3}$ Net: Trained on a Small Sample Segmentation Network for Biomedical Image Analysis. - Mengdi Yan; Hansheng Li; Baosheng Kang; Jun Feng 003; Yuxin Kang; Tao Zhang; Lin Yang 002; Lei Cui 004 (BIBM, 2019)

Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. - Zizhao Zhang; Adriana Romero; Matthew J. Muckley; Pascal Vincent; Lin Yang 002; Michal Drozdzal (CVPR, 2019)

End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation. - Jinzheng Cai; Yingda Xia; Dong Yang 005; Daguang Xu; Lin Yang 002; Holger Roth (MLMI@MICCAI, 2019)

Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification. - Hai Su; Xiaoshuang Shi; Jinzheng Cai; Lin Yang 002 (MICCAI (1), 2019)

High throughput automatic muscle image segmentation using parallel framework. - Lei Cui 004; Jun Feng 003; Zizhao Zhang; Lin Yang 002 (BMC Bioinform., 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)

Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss. - Pingjun Chen; Linlin Gao; Xiaoshuang Shi; Kyle Allen; Lin Yang 002 (Comput. Medical Imaging Graph., 2019)

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

tissueloc: Whole slide digital pathology image tissue localization. - Pingjun Chen; Lin Yang 002 (J. Open Source Softw., 2019)

Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network. - Jinzheng Cai; Zizhao Zhang; Lei Cui 004; Yefeng Zheng 001; Lin Yang 002 (Medical Image Anal., 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)

Chromosome Segmentation via Data Simulation and Shape Learning. - Pingjun Chen; Jinzheng Cai; Lin Yang 002 (EMBC, 2020)

Automated Tumor Proportion Scoring for Assessment of PD-L1 Expression Based on Multi-Stage Ensemble Strategy. - Yuxin Kang; Hansheng Li; Xin Han; Boju Pan; Yuan Li; Yan Jin; Qirong Bu; Lei Cui 004; Jun Feng 003; Lin Yang 002 (MLMI@MICCAI, 2020)

A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets. - Hansheng Li; Xin Han; Yuxin Kang; Xiaoshuang Shi; Mengdi Yan; Zixu Tong; Qirong Bu; Lei Cui 004; Jun Feng 003; Lin Yang 002 (MICCAI (5), 2020)

Rule-based automatic diagnosis of thyroid nodules from intraoperative frozen sections using deep learning. - Yuan Li; Pingjun Chen; Zhiyuan Li; Hai Su; Lin Yang 002; Dingrong Zhong (Artif. Intell. Medicine, 2020)

A deep learning-based framework for lung cancer survival analysis with biomarker interpretation. - Lei Cui 004; Hansheng Li; Wenli Hui; Sitong Chen; Lin Yang 002; Yuxin Kang; Qirong Bo; Jun Feng 003 (BMC Bioinform., 2020)

Interactive thyroid whole slide image diagnostic system using deep representation. - Pingjun Chen; Xiaoshuang Shi; Yun Liang 012; Yuan Li; Lin Yang 002; Paul D. Gader (Comput. Methods Programs Biomed., 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)

Boosting Boundary Representation for Gland Instance Segmentation. - Yuxin Kang; Hansheng Li; Zhuoyue Wu; Feihong Liu; Dongqing Hu; Lei Cui 004; Jun Feng 003; Lin Yang 002 (BIBM, 2021)

Robust Pathological Detector Training Method on Sparsely Annotated Datasets via Spatial Cues. - Hansheng Li; Yuxin Kang; Lingyu Hu; Qian Ma; Lei Cui 004; Jun Feng 003; Lin Yang 002; Wentao Yang (BIBM, 2021)

Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-Specific Pruning. - Jiatong Cai; Chenglu Zhu; Can Cui; Honglin Li 001; Tong Wu; Shichuan Zhang; Lin Yang 002 (MICCAI (8), 2021)

Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision. - Zhuoyue Wu; Hansheng Li; Lei Cui 004; Yuxin Kang; Jianye Liu; Haider Ali; Jun Feng 003; Lin Yang 002 (MLMI@MICCAI, 2021)

Generalizing Nucleus Recognition Model in Multi-source Images via Pruning. - Jiatong Cai; Chenglu Zhu; Can Cui; Honglin Li 001; Tong Wu; Shichuan Zhang; Lin Yang 002 (CoRR, 2021)

Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion. - Pingjun Chen; Yun Liang 012; Xiaoshuang Shi; Lin Yang 002; Paul D. Gader (Neurocomputing, 2021)

Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine. - Zizhao Zhang; Pingjun Chen; Xiaoshuang Shi; Lin Yang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale. - Jinzheng Cai; Adam P. Harrison; Youjing Zheng; Ke Yan 006; Yuankai Huo; Jing Xiao 006; Lin Yang 002; Le Lu 001 (IEEE Trans. Medical Imaging, 2021)

Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation. - Yuxin Kang; Hansheng Li; Xuan Zhao; Xiaoshuang Shi; Feihong Liu; Qingguo Yan; Ying Guo; Lei Cui 004; Jun Feng 003; Lin Yang 002 (BIBM, 2022)

A Random Feature Augmentation for Domain Generalization in Medical Image Segmentation. - Xuan Zhao; Yuxin Kang; Hansheng Li; Jiayu Luo; Lei Cui 004; Jun Feng 003; Lin Yang 002 (BIBM, 2022)

Category Separation For Weakly Supervised Multi-Class Cell Counting. - Jiatong Cai; Chenglu Zhu; Pingyi Chen; Shichuan Zhang; Honglin Li 001; Yuxuan Sun 002; Lin Yang 002 (ISBI, 2022)

Weakly Supervised Learning For Cell Recognition In Immunohistochemical Cytoplasm Staining Images. - Shichuan Zhang; Chenglu Zhu; Honglin Li 001; Jiatong Cai; Lin Yang 002 (ISBI, 2022)

End-to-End Cell Recognition by Point Annotation. - Zhongyi Shui; Shichuan Zhang; Chenglu Zhu; Bingchuan Wang; Pingyi Chen; Sunyi Zheng; Lin Yang 002 (MICCAI (4), 2022)

Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology. - Yunlong Zhang; Yuxuan Sun 002; Honglin Li 001; Sunyi Zheng; Chenglu Zhu; Lin Yang 002 (MICCAI (2), 2022)

ChrSNet: Chromosome Straightening Using Self-attention Guided Networks. - Sunyi Zheng; Jingxiong Li; Zhongyi Shui; Chenglu Zhu; Yunlong Zhang; Pingyi Chen; Lin Yang 002 (MICCAI (4), 2022)

Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation. - Yuxin Kang; Hansheng Li; Xuan Zhao; Dongqing Hu; Feihong Liu; Lei Cui 004; Jun Feng 003; Lin Yang 002 (CoRR, 2022)

Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images. - Pingyi Chen; Chenglu Zhu; Zhongyi Shui; Jiatong Cai; Sunyi Zheng; Shichuan Zhang; Lin Yang 002 (CoRR, 2022)

A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis. - Hansheng Li; Jianping Li; Yuxin Kang; Chunbao Wang 002; Feihong Liu; Wenli Hui; Qirong Bo; Lei Cui 004; Jun Feng 003; Lin Yang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Harmonizing Pathological and Normal Pixels for Pseudo-Healthy Synthesis. - Yunlong Zhang; Xin Lin; Yihong Zhuang; Liyan Sun; Yue Huang 001; Xinghao Ding; Guisheng Wang; Lin Yang 002; Yizhou Yu (IEEE Trans. Medical Imaging, 2022)

Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images. - Zhengyang Xu; Xianglong Du; Yuxin Kang; Hong Lv; Ming Li; Wentao Yang; Lei Cui 004; Hansheng Li; Yaqiong Xing; Jun Feng 003; Lin Yang 002 (BIBM, 2023)

Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis. - Shichuan Zhang; Sunyi Zheng; Zhongyi Shui; Honglin Li 001; Lin Yang 002 (BIBM, 2023)

Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification. - Honglin Li 001; Chenglu Zhu; Yunlong Zhang; Yuxuan Sun 002; Zhongyi Shui; Wenwei Kuang; Sunyi Zheng; Lin Yang 002 (CVPR, 2023)

Assessing the Robustness of Deep Learning-Assisted Pathological Image Analysis Under Practical Variables of Imaging System. - Yuxuan Sun 002; Chenglu Zhu; Yunlong Zhang; Honglin Li 001; Pingyi Chen; Lin Yang 002 (ICASSP, 2023)

Automated Region Learning Via Cell-Level Labels to Modify Cell Detection Process For Histopathological Images. - Dongqing Hu; Hansheng Li; Yuxin Kang; Jiayu Luo; Qingguo Yan; Ying Guo; Lei Cui 004; Jun Feng 003; Lin Yang 002 (ISBI, 2023)

Exploring Unsupervised Cell Recognition with Prior Self-activation Maps. - Pingyi Chen; Chenglu Zhu; Zhongyi Shui; Jiatong Cai; Sunyi Zheng; Shichuan Zhang; Lin Yang 002 (MICCAI (8), 2023)

Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision. - Hansheng Li; Zhengyang Xu; Mo Zhou; Xiaoshuang Shi; Yuxin Kang; Qirong Bu; Hong Lv; Ming Li; Mingzhen Lin; Lei Cui 004; Jun Feng 003; Wentao Yang; et al. (MICCAI (6), 2023)

Deformable Proposal-Aware P2PNet: A Universal Network for Cell Recognition under Point Supervision. - Zhongyi Shui; Sunyi Zheng; Xiaoxuan Yu; Shichuan Zhang; Honglin Li 001; Jingxiong Li; Lin Yang 002 (CoRR, 2023)

PathAsst: Redefining Pathology through Generative Foundation AI Assistant for Pathology. - Yuxuan Sun 002; Chenglu Zhu; Sunyi Zheng; Kai Zhang 033; Zhongyi Shui; Xiaoxuan Yu; Yizhi Zhao; Honglin Li 001; Yunlong Zhang; Ruojia Zhao; Xinheng Lyu; Lin Yang 002 (CoRR, 2023)

Semi-supervised Cell Recognition under Point Supervision. - Zhongyi Shui; Yizhi Zhao; Sunyi Zheng; Yunlong Zhang; Honglin Li 001; Shichuan Zhang; Xiaoxuan Yu; Chenglu Zhu; Lin Yang 002 (CoRR, 2023)

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification. - Yunlong Zhang; Honglin Li 001; Yuxuan Sun 002; Sunyi Zheng; Chenglu Zhu; Lin Yang 002 (CoRR, 2023)

Test-Time Training for Semantic Segmentation with Output Contrastive Loss. - Yunlong Zhang; Yuxuan Sun 002; Sunyi Zheng; Zhongyi Shui; Chenglu Zhu; Lin Yang 002 (CoRR, 2023)

Long-MIL: Scaling Long Contextual Multiple Instance Learning for Histopathology Whole Slide Image Analysis. - Honglin Li 001; Yunlong Zhang; Chenglu Zhu; Jiatong Cai; Sunyi Zheng; Lin Yang 002 (CoRR, 2023)

Unleashing the Power of Prompt-driven Nucleus Instance Segmentation. - Zhongyi Shui; Yunlong Zhang; Kai Yao; Chenglu Zhu; Yuxuan Sun 002; Lin Yang 002 (CoRR, 2023)

MI-Gen: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images. - Pingyi Chen; Honglin Li 001; Chenglu Zhu; Sunyi Zheng; Lin Yang 002 (CoRR, 2023)

DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection. - Zhongyi Shui; Sunyi Zheng; Chenglu Zhu; Shichuan Zhang; Xiaoxuan Yu; Honglin Li 001; Jingxiong Li; Pingyi Chen; Lin Yang 002 (AAAI, 2024)

PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology. - Yuxuan Sun 002; Chenglu Zhu; Sunyi Zheng; Kai Zhang 033; Lin Sun 006; Zhongyi Shui; Yunlong Zhang; Honglin Li 001; Lin Yang 002 (AAAI, 2024)

WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering. - Pingyi Chen; Chenglu Zhu; Sunyi Zheng; Honglin Li 001; Lin Yang 002 (ECCV (36), 2024)

Unleashing the Power of Prompt-Driven Nucleus Instance Segmentation. - Zhongyi Shui; Yunlong Zhang; Kai Yao; Chenglu Zhu; Sunyi Zheng; Jingxiong Li; Honglin Li 001; Yuxuan Sun 002; Ruizhe Guo; Lin Yang 002 (ECCV (27), 2024)

PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology. - Yuxuan Sun 002; Hao Wu 072; Chenglu Zhu; Sunyi Zheng; Qizi Chen; Kai Zhang 033; Yunlong Zhang; Dan Wan; Xiaoxiao Lan; Mengyue Zheng; Jingxiong Li; Xinheng Lyu; et al. (ECCV (62), 2024)

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification. - Yunlong Zhang; Honglin Li 001; Yunxuan Sun; Sunyi Zheng; Chenglu Zhu; Lin Yang 002 (ECCV (53), 2024)

Predicting the Cell-level PD-L1 Expression Status from H&E-stained Histopathological Slide. - Mo Zhou; Hansheng Li; Zhizezhang Gao; Mengxin Lu; Xiao Zhang 028; Yuxin Kang; Lei Cui 004; Jun Feng 003; Lin Yang 002 (EMBC, 2024)

HLS-FGVC: Hierarchical Label Semantics Enhanced Fine-Grained Visual Classification. - Shichuan Zhang; Sunyi Zheng; Zhongyi Shui; Lin Yang 002 (ICASSP, 2024)

Context-Aware Text-Assisted Multimodal Framework for Cervical Cytology Cell Diagnosis and Chatting. - Yuxuan Sun 002; Chenglu Zhu; Sunyi Zheng; Yunlong Zhang; Honglin Li 001; Lin Yang 002 (ICME, 2024)

WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images. - Pingyi Chen; Honglin Li 001; Chenglu Zhu; Sunyi Zheng; Zhongyi Shui; Lin Yang 002 (MICCAI (4), 2024)

PathUp: Patch-wise Timestep Tracking for Multi-class Large Pathology Image Synthesising Diffusion Model. - Jingxiong Li; Sunyi Zheng; Chenglu Zhu; Yuxuan Sun 002; Pingyi Chen; Zhongyi Shui; Yunlong Zhang; Honglin Li 001; Lin Yang 002 (ACM Multimedia, 2024)

Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis. - Honglin Li 001; Yunlong Zhang; Pingyi Chen; Zhongyi Shui; Chenglu Zhu; Lin Yang 002 (NeurIPS, 2024)

Benchmarking PathCLIP for Pathology Image Analysis. - Sunyi Zheng; Xiaonan Cui; Yuxuan Sun 002; Jingxiong Li; Honglin Li 001; Yunlong Zhang; Pingyi Chen; Xueping Jing; Zhaoxiang Ye; Lin Yang 002 (CoRR, 2024)

ADR: Attention Diversification Regularization for Mitigating Overfitting in Multiple Instance Learning based Whole Slide Image Classification. - Yunlong Zhang; Zhongyi Shui; Yunxuan Sun; Honglin Li 001; Jingxiong Li; Chenglu Zhu; Sunyi Zheng; Lin Yang 002 (CoRR, 2024)

PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration. - Yuxuan Sun 002; Yunlong Zhang; Yixuan Si; Chenglu Zhu; Zhongyi Shui; Kai Zhang 033; Jingxiong Li; Xingheng Lyu; Tao Lin 004; Lin Yang 002 (CoRR, 2024)

Large-scale cervical precancerous screening via AI-assisted cytology whole slide image analysis. - Honglin Li 001; Yuxuan Sun 002; Chenglu Zhu; Yunlong Zhang; Shichuan Zhang; Zhongyi Shui; Pingyi Chen; Jingxiong Li; Sunyi Zheng; Can Cui; Lin Yang 002 (CoRR, 2024)

Panther: Illuminate the Sight of Multimodal LLMs with Instruction-Guided Visual Prompts. - Honglin Li 001; Yuting Gao; Chenglu Zhu; Jingdong Chen; Ming Yang 007; Lin Yang 002 (CoRR, 2024)

Gradient-aware learning for joint biases: Label noise and class imbalance. - Shichuan Zhang; Chenglu Zhu; Honglin Li 001; Jiatong Cai; Lin Yang 002 (Neural Networks, 2024)

Masked Conditional Variational Autoencoders for Chromosome Straightening. - Jingxiong Li; Sunyi Zheng; Zhongyi Shui; Shichuan Zhang; Linyi Yang; Yuxuan Sun 002; Yunlong Zhang; Honglin Li 001; Yuanxin Ye; Peter M. A. van Ooijen; Kang Li 004; Lin Yang 002 (IEEE Trans. Medical Imaging, 2024)

CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology. - Yuxuan Sun 002; Yixuan Si; Chenglu Zhu; Xuan Gong; Kai Zhang 033; Pingyi Chen; Ye Zhang; Zhongyi Shui; Tao Lin 004; Lin Yang 002 (CVPR, 2025)

Stable Test-Time Training for Semantic Segmentation with Output Contrastive Loss. - Yunlong Zhang; Zhongyi Shui; Honglin Li 001; Yuxuan Sun 002; Chenglu Zhu; Lin Yang 002 (ICASSP, 2025)

Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding. - Zhongyi Shui; Jianpeng Zhang; Weiwei Cao; Sinuo Wang; Ruizhe Guo; Le Lu 001; Lin Yang 002; Xianghua Ye; Tingbo Liang; Qi Zhang; Ling Zhang 002 (ICLR, 2025)

PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration. - Yuxuan Sun 002; Yunlong Zhang; Yixuan Si; Chenglu Zhu; Kai Zhang 033; Zhongyi Shui; Jingxiong Li; Xuan Gong; Xinheng Lyu; Tao Lin 004; Lin Yang 002 (ICLR, 2025)

Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Images. - Zhongyi Shui; Ruizhe Guo; Honglin Li 001; Yuxuan Sun 002; Yunlong Zhang; Chenglu Zhu; Jiatong Cai; Pingyi Chen; Yanzhou Su; Lin Yang 002 (CoRR, 2025)

PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization. - Honglin Li 001; Zhongyi Shui; Yunlong Zhang; Chenglu Zhu; Lin Yang 002 (CoRR, 2025)

CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic. - Yuxuan Sun 002; Yixuan Si; Chenglu Zhu; Kai Zhang 033; Zhongyi Shui; Bowen Ding; Tao Lin 004; Lin Yang 002 (CoRR, 2025)

Exploring Unbiased Activation Maps for Weakly Supervised Tissue Segmentation of Histopathological Images. - Yuxin Kang; Hansheng Li; Xiaoshuang Shi; Xiao Zhang 028; Yaqiong Xing; Yuting Wen; Yi Wang; Lei Cui 004; Jun Feng 003; Lin Yang 002 (IEEE Trans. Medical Imaging, 2025)