Lin Yang
Orcid: 0000-0001-7593-7066Affiliations:
- University of Notre Dame, IN, USA
According to our database1,
Lin Yang
authored at least 27 papers
between 2014 and 2021.
Collaborative distances:
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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
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
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
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
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
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
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018
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
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
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
Proceedings of the Frontiers in Algorithmics - 8th International Workshop, 2014