Yuemeng Li
According to our database1,
Yuemeng Li
authored at least 28 papers
between 2014 and 2023.
Collaborative distances:
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Bibliography
2023
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation.
CoRR, 2023
2022
Learning Apparent Diffusion Coefficient Maps from Undersampled Radial k-Space Diffusion-Weighted MRI in Mice using a Deep CNN-Transformer Model in Conjunction with a Monoexponential Model.
CoRR, 2022
Proceedings of the 5th IEEE International Conference on Information Systems and Computer Aided Education, 2022
2021
Medical Image Anal., 2021
Adaptive convolutional neural networks for accelerating magnetic resonance imaging via <i>k</i>-space data interpolation.
Medical Image Anal., 2021
2020
Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis.
IEEE Trans. Biomed. Eng., 2020
Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging.
CoRR, 2020
Proceedings of the IEEE International Conference on Smart Cloud, 2020
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule Detection.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Context-endcoding for neural network based skull stripping in magnetic resonance imaging.
CoRR, 2019
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection.
CoRR, 2019
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Deep Learning Method for Material Performance Recognition in Laser Additive Manufacturing.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
2018
A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities.
CoRR, 2018
SLIC robust (SLICR) processing for fast, robust CT myocardial blood flow quantification.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
Proceedings of the 23rd International Conference on Intelligent User Interfaces, 2018
Immersive Visualization for Abnormal Detection in Heterogeneous Data for On-site Decision Making.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018
2017
On Spectral Analysis of Signed and Dispute Graphs: Application to Community Structure.
IEEE Trans. Knowl. Data Eng., 2017
CoRR, 2017
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
2016
Comparison of quantitative myocardial perfusion imaging CT to fluorescent microsphere-based flow from high-resolution cryo-images.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016
2015
Analysis of Spectral Space Properties of Directed Graphs Using Matrix Perturbation Theory with Application in Graph Partition.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014