Lin Yang

Orcid: 0000-0001-7593-7066

Affiliations:
  • University of Notre Dame, IN, USA


According to our database1, Lin Yang authored at least 27 papers between 2014 and 2021.

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Bibliography

2021
Hierarchical Self-supervised Learning for Medical Image Segmentation Based on Multi-domain Data Aggregation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A New Ensemble Learning Framework for 3D Biomedical Image Segmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Biomedical Image Segmentation via Representative Annotation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation.
CoRR, 2018

Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A new registration approach for dynamic analysis of calcium signals in organs.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Biomedical Image Segmentation Using Fully Convolutional Networks on TrueNorth.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

2017
Forward backward similarity search in knowledge networks.
Knowl. Based Syst., 2017

Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Fast Background Removal Method for 3D Multi-channel Deep Tissue Fluorescence Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
A seeding-searching-ensemble method for gland segmentation in H&E-stained images.
BMC Medical Informatics Decis. Mak., 2016

Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

3D Segmentation of Glial Cells Using Fully Convolutional Networks and k-Terminal Cut.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Segmentation and tracking of Pseudomonas aeruginosa for cell dynamics analysis in time-lapse images.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Coarse-to-Fine Stacked Fully Convolutional Nets for lymph node segmentation in ultrasound images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
A circular matrix-merging algorithm with application in Volumetric Intensity-Modulated Arc Therapy.
Theor. Comput. Sci., 2015

Segmentation of vascular structures and hematopoietic cells in 3D microscopy images and quantitative analysis.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Fast Background Removal in 3D Fluorescence Microscopy Images Using One-Class Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

A seeding-searching-ensemble method for gland segmentation and detection.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
A Circular Matrix-Merging Algorithm with Application in VMAT Radiation Therapy.
Proceedings of the Frontiers in Algorithmics - 8th International Workshop, 2014


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