Lin Yang
Affiliations:- Westlake University, School of Engineering, Artificial Intelligence and Biomedical Image Analysis Lab, Hangzhou, China
- Northwest University, College of Life Scienes and School of Information Science and Technology, Xi'an, China
- University of Florida, J. Crayton Pruitt Family Department of Biomedical Engineering, Gainesville, FL, USA
- University of Kentucky, Department of Biomedical Informatics, Lexington, KY, USA (2011 - 2014)
- University of Medicine and Dentistry New Jersey (UMDNJ), Robert Wood Johnson Medical School, Department of Radiology and the Center for Biomedical Imaging and Informatics, Piscataway, NJ
- Rutgers University, Department of Electrical and Computer Engineering, Piscataway, NJ, USA (PhD 2009)
According to our database1,
Lin Yang
authored at least 166 papers
between 2005 and 2024.
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Bibliography
2024
IEEE Trans. Medical Imaging, January, 2024
Neural Networks, 2024
Large-scale cervical precancerous screening via AI-assisted cytology whole slide image analysis.
CoRR, 2024
CoRR, 2024
PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration.
CoRR, 2024
ADR: Attention Diversification Regularization for Mitigating Overfitting in Multiple Instance Learning based Whole Slide Image Classification.
CoRR, 2024
WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Context-Aware Text-Assisted Multimodal Framework for Cervical Cytology Cell Diagnosis and Chatting.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
MI-Gen: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images.
CoRR, 2023
Long-MIL: Scaling Long Contextual Multiple Instance Learning for Histopathology Whole Slide Image Analysis.
CoRR, 2023
CoRR, 2023
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification.
CoRR, 2023
PathAsst: Redefining Pathology through Generative Foundation AI Assistant for Pathology.
CoRR, 2023
Deformable Proposal-Aware P2PNet: A Universal Network for Cell Recognition under Point Supervision.
CoRR, 2023
Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Automated Region Learning Via Cell-Level Labels to Modify Cell Detection Process For Histopathological Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Assessing the Robustness of Deep Learning-Assisted Pathological Image Analysis Under Practical Variables of Imaging System.
Proceedings of the IEEE International Conference on Acoustics, 2023
Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images.
CoRR, 2022
Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation.
CoRR, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Weakly Supervised Learning For Cell Recognition In Immunohistochemical Cytoplasm Staining Images.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
A Random Feature Augmentation for Domain Generalization in Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale.
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Image Process., 2021
Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine.
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion.
Neurocomputing, 2021
CoRR, 2021
Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-Specific Pruning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Robust Pathological Detector Training Method on Sparsely Annotated Datasets via Spatial Cues.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis.
Medical Image Anal., 2020
Int. J. Comput. Vis., 2020
Comput. Methods Programs Biomed., 2020
A deep learning-based framework for lung cancer survival analysis with biomarker interpretation.
BMC Bioinform., 2020
Rule-based automatic diagnosis of thyroid nodules from intraoperative frozen sections using deep learning.
Artif. Intell. Medicine, 2020
A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Automated Tumor Proportion Scoring for Assessment of PD-L1 Expression Based on Multi-Stage Ensemble Strategy.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Deep Convolutional Hashing for Low-Dimensional Binary Embedding of Histopathological Images.
IEEE J. Biomed. Health Informatics, 2019
Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images.
IEEE Trans. Biomed. Eng., 2019
Texture analysis for muscular dystrophy classification in MRI with improved class activation mapping.
Pattern Recognit., 2019
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning.
Nat. Mach. Intell., 2019
Nat. Mach. Intell., 2019
Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network.
Medical Image Anal., 2019
J. Open Source Softw., 2019
Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss.
Comput. Medical Imaging Graph., 2019
BMC Bioinform., 2019
BMC Bioinform., 2019
BMC Bioinform., 2019
Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
$S^{3}$ Net: Trained on a Small Sample Segmentation Network for Biomedical Image Analysis.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Global Bank: A Guided Pathway of Encoding and Decoding for Pathological Image Analysis.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
Pancreas Segmentation in CT and MRI via Task-Specific Network Design and Recurrent Neural Contextual Learning.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
AIIMDs: An Integrated Framework of Automatic Idiopathic Inflammatory Myopathy Diagnosis for Muscle.
IEEE J. Biomed. Health Informatics, 2018
Pairwise based deep ranking hashing for histopathology image classification and retrieval.
Pattern Recognit., 2018
Medical Image Anal., 2018
Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning.
CoRR, 2018
Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST.
CoRR, 2018
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Semi-supervised Deep Linear Discriminant Analysis for Histopathology Image Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders.
Proceedings of the 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.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
Medical Image Anal., 2017
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection.
CoRR, 2017
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function.
CoRR, 2017
Integrative Analysis for Lung Adenocarcinoma Predicts Morphological Features Associated with Genetic Variations.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017
2016
IEEE Trans. Medical Imaging, 2016
Robust Cell Detection of Histopathological Brain Tumor Images Using Sparse Reconstruction and Adaptive Dictionary Selection.
IEEE Trans. Medical Imaging, 2016
Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2016
Scalable histopathological image analysis via supervised hashing with multiple features.
Medical Image Anal., 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Computer Vision - ECCV 2016, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
High-throughput histopathological image analysis via robust cell segmentation and hashing.
Medical Image Anal., 2015
Scalable analysis of Big pathology image data cohorts using efficient methods and high-performance computing strategies.
BMC Bioinform., 2015
Fast Cell Segmentation Using Scalable Sparse Manifold Learning and Affine Transform-Approximated Active Contour.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
A Novel Cell Detection Method Using Deep Convolutional Neural Network and Maximum-Weight Independent Set.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Region segmentation in histopathological breast cancer images using deep convolutional neural network.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Weighted Hashing with Multiple Cues for Cell-Level Analysis of Histopathological Images.
Proceedings of the Information Processing in Medical Imaging, 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Robust automatic breast cancer staging using a combination of functional genomics and image-omics.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Fine-grained histopathological image analysis via robust segmentation and large-scale retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
Automatic Myonuclear Detection in IsolatedSingle Muscle Fibers Using Robust EllipseFitting and Sparse Representation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
IEEE Trans. Biomed. Eng., 2014
Novel image markers for non-small cell lung cancer classification and survival prediction.
BMC Bioinform., 2014
Bioinform., 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT.
Trans. Assoc. Comput. Linguistics, 2013
IEEE Trans. Pattern Anal. Mach. Intell., 2013
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
An Integrated Framework for Automatic Ki-67 Scoring in Pancreatic Neuroendocrine Tumor.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Learning based automatic detection of myonuclei in isolated single skeletal muscle fibers using multi-focus image fusion.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Robust Segmentation of Overlapping Cells in Histopathology Specimens Using Parallel Seed Detection and Repulsive Level Set.
IEEE Trans. Biomed. Eng., 2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
2011
Prediction Based Collaborative Trackers (PCT): A Robust and Accurate Approach Toward 3D Medical Object Tracking.
IEEE Trans. Medical Imaging, 2011
ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology.
J. Am. Medical Informatics Assoc., 2011
Int. J. Comput. Assist. Radiol. Surg., 2011
Comparative performance analysis of stained histopathology specimens using RGB and multispectral imaging.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Dynamic online registration guided collaborative tracking of lung tumor movement in fluoroscopic videos.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
2010
Proceedings of the Applied Parallel and Scientific Computing, 2010
Proceedings of the Computer Vision, 2010
2009
IEEE Trans. Inf. Technol. Biomed., 2009
Virtual Microscopy and Grid-Enabled Decision Support for Large-Scale Analysis of Imaged Pathology Specimens.
IEEE Trans. Inf. Technol. Biomed., 2009
A caGrid-Enabled, Learning Based Image Segmentation Method for Histopathology Specimens.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Investigating the use of autonomic cloudbursts for high-throughput medical image registration.
Proceedings of the 2009 10th IEEE/ACM International Conference on Grid Computing, 2009
A Parallel Point Matching Algorithm for Landmark Based Image Registration Using Multicore Platform.
Proceedings of the Euro-Par 2009 Parallel Processing, 2009
2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
3D ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
2007
Pattern Anal. Appl., 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
A Variational Framework for Partially Occluded Image Segmentation using Coarse to Fine Shape Alignment and Semi-Parametric Density Approximation.
Proceedings of the International Conference on Image Processing, 2007
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
2005
Unsupervised segmentation based on robust estimation and color active contour models.
IEEE Trans. Inf. Technol. Biomed., 2005