Lin Yang

Affiliations:
  • University of Florida, Gainesville, FL, USA


According to our database1, Lin Yang authored at least 102 papers between 2009 and 2023.

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Bibliography

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

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

2022
A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation.
CoRR, 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

A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing.
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

Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Robust Pathological Detector Training Method on Sparsely Annotated Datasets via Spatial Cues.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Boosting Boundary Representation for Gland Instance Segmentation.
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

Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing.
Int. J. Comput. Vis., 2020

Interactive thyroid whole slide image diagnostic system using deep representation.
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

Chromosome Segmentation via Data Simulation and Shape Learning.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Loss-Based Attention for Deep Multiple Instance Learning.
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

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning.
Nat. Mach. Intell., 2019

Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network.
Medical Image Anal., 2019

tissueloc: Whole slide digital pathology image tissue localization.
J. Open Source Softw., 2019

Structured orthogonal matching pursuit for feature selection.
Neurocomputing, 2019

Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss.
Comput. Medical Imaging Graph., 2019

Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images.
BMC Bioinform., 2019

Towards pixel-to-pixel deep nucleus detection in microscopy images.
BMC Bioinform., 2019

High throughput automatic muscle image segmentation using parallel framework.
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

$S^{3}$ 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

Deep Learning for Muscle Pathology Image Analysis.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

Deep Hashing and Its Application for Histopathology Image Analysis.
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
Deep Learning in Microscopy Image Analysis: A Survey.
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

Revisiting graph construction for fast image segmentation.
Pattern Recognit., 2018

Pairwise based deep ranking hashing for histopathology image classification and retrieval.
Pattern Recognit., 2018

Self-learning for face clustering.
Pattern Recognit., 2018

Efficient and robust cell detection: A structured regression approach.
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

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

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

Supervised graph hashing for histopathology image retrieval and classification.
Medical Image Anal., 2017

Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection.
CoRR, 2017

Revisiting Graph Construction for Fast Image Segmentation.
CoRR, 2017

Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function.
CoRR, 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

Cell Encoding for Histopathology Image Classification.
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

MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Asymmetric Discrete Graph Hashing.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Deep Voting and Structured Regression for Microscopy Image Analysis.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
An Automatic Learning-Based Framework for Robust Nucleus Segmentation.
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

Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation.
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

Kernel-Based Supervised Discrete Hashing for Image Retrieval.
Proceedings of the Computer Vision - ECCV 2016, 2016

SemiContour: A Semi-Supervised Learning Approach for Contour Detection.
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

Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images.
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

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

Unsupervised shape prior modeling for cell segmentation in neuroendocrine tumor.
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

Automatic muscle perimysium annotation using deep convolutional neural network.
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

Within-class penalty based multi-class support vector machine.
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

Automatic Ki-67 Counting Using Robust Cell Detection and Online Dictionary Learning.
IEEE Trans. Biomed. Eng., 2014

Novel image markers for non-small cell lung cancer classification and survival prediction.
BMC Bioinform., 2014

Content-based histopathology image retrieval using CometCloud.
BMC Bioinform., 2014

Parallel content-based sub-image retrieval using hierarchical searching.
Bioinform., 2014

Mining Histopathological Images via Composite Hashing and Online Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Robust muscle cell segmentation using region selection with dynamic programming.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Touching adipocyte cells decomposition using combinatorial optimization.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Robust Selection-Based Sparse Shape Model for Lung Cancer Image Segmentation.
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

Robust cell segmentation for non-small cell lung cancer.
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

Digitized tissue microarray classification using sparse reconstruction.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

2011
Comparative performance analysis of stained histopathology specimens using RGB and multispectral imaging.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

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


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