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2020 – today
- 2024
[c15]Xiaoyang Chen, Hao Zheng, Yuemeng Li, Yuncong Ma, Liang Ma, Hongming Li, Yong Fan:
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation. CVPR 2024: 11747-11756- 2023
- [i11]Yuemeng Li, Yong Fan:
Medical Image Segmentation with Domain Adaptation: A Survey. CoRR abs/2311.01702 (2023) - [i10]Xiaoyang Chen, Hao Zheng, Yuemeng Li, Yuncong Ma, Liang Ma, Hongming Li, Yong Fan:
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation. CoRR abs/2311.10696 (2023) - 2022
- [c14]Yuemeng Li, Yiming Wang:
Analysis on Visual Tracking Algorithms. ICISCAE 2022: 832-837 - [i9]Yuemeng Li, Hee Kwon Song, Miguel Romanello Joaquim, Stephen Pickup, Rong Zhou, Yong Fan:
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 abs/2207.02399 (2022) - 2021
- [j5]Yuemeng Li, Hongming Li
, Yong Fan:
ACEnet: Anatomical context-encoding network for neuroanatomy segmentation. Medical Image Anal. 70: 101991 (2021) - [j4]Tianming Du, Honggang Zhang, Yuemeng Li, Stephen Pickup, Mark Rosen, Rong Zhou, Hee Kwon Song, Yong Fan:
Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation. Medical Image Anal. 72: 102098 (2021) - 2020
- [j3]Hangfan Liu, Hongming Li, Mohamad Habes, Yuemeng Li, Pamela Boimel, James Janopaul-Naylor, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis. IEEE Trans. Biomed. Eng. 67(10): 2735-2744 (2020) - [c13]Yuemeng Li, Yang Fan:
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule Detection. ISBI 2020: 1866-1869 - [c12]Guidong Wu, Hang Li, Xiaoqi Liao, Yuemeng Li, Yu Huang, Xiang Chen, Qi Liu, Xueyang Liu:
An Automatic and Rapid Knowledge Graph Construction Method of SG-CIM Model. SmartCloud 2020: 193-198 - [i8]Yuemeng Li, Hongming Li, Yong Fan:
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation. CoRR abs/2002.05773 (2020) - [i7]Tianming Du, Honggang Zhang, Yuemeng Li, Hee Kwon Song, Yong Fan:
Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging. CoRR abs/2006.01385 (2020)
2010 – 2019
- 2019
- [c11]Yuemeng Li, Hairong Yan, Yuefei Zhang:
A Deep Learning Method for Material Performance Recognition in Laser Additive Manufacturing. INDIN 2019: 1735-1740 - [c10]Hangfan Liu, Hongming Li, Yuemeng Li, Shi Yin, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis. MICCAI (4) 2019: 583-592 - [c9]Yuemeng Li, Aidong Lu, Xintao Wu, Shuhan Yuan:
Dynamic Anomaly Detection Using Vector Autoregressive Model. PAKDD (1) 2019: 600-611 - [i6]Yuemeng Li, Hangfan Liu, Yong Fan:
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection. CoRR abs/1904.03501 (2019) - [i5]Yuemeng Li, Hangfan Liu, Hongming Li, Yong Fan:
Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation. CoRR abs/1905.02686 (2019) - [i4]Zhen Liu, Borui Xiao, Yuemeng Li, Yong Fan:
Context-endcoding for neural network based skull stripping in magnetic resonance imaging. CoRR abs/1910.10798 (2019) - 2018
- [j2]Yuemeng Li, Shuhan Yuan, Xintao Wu, Aidong Lu:
On spectral analysis of directed signed graphs. Int. J. Data Sci. Anal. 6(2): 147-162 (2018) - [c8]Elias Mahfoud, Kodzo Wegba, Yuemeng Li, Honglei Han, Aidong Lu:
Immersive Visualization for Abnormal Detection in Heterogeneous Data for On-site Decision Making. HICSS 2018: 1-10 - [c7]Kodzo Wegba, Aidong Lu, Yuemeng Li, Wencheng Wang:
Interactive Storytelling for Movie Recommendation through Latent Semantic Analysis. IUI 2018: 521-533 - [c6]Hao Wu, Brendan L. Eck, Jacob Levi, Anas Fares, Yuemeng Li, Di Wen, Hiram G. Bezerra, David L. Wilson:
SLIC robust (SLICR) processing for fast, robust CT myocardial blood flow quantification. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105781U - [i3]Bo Zhou, Yuemeng Li, Jiangcong Wang:
A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities. CoRR abs/1807.01257 (2018) - 2017
- [j1]Leting Wu, Xintao Wu, Aidong Lu, Yuemeng Li:
On Spectral Analysis of Signed and Dispute Graphs: Application to Community Structure. IEEE Trans. Knowl. Data Eng. 29(7): 1480-1493 (2017) - [c5]Yuemeng Li, Xintao Wu, Aidong Lu:
On Spectral Analysis of Directed Signed Graphs. DSAA 2017: 539-548 - [i2]Kodzo Wegba, Aidong Lu, Yuemeng Li, Wencheng Wang:
Interactive Movie Recommendation Through Latent Semantic Analysis and Storytelling. CoRR abs/1701.00199 (2017) - 2016
- [c4]Yuemeng Li, Xintao Wu, Song Yang:
Social network dominance based on analysis of asymmetry. ASONAM 2016: 146-151 - [c3]Brendan L. Eck, Rachid Fahmi, Jacob Levi, Anas Fares, Hao Wu, Yuemeng Li, Mani Vembar, Amar Dhanantwari, Hiram G. Bezerra, David L. Wilson:
Comparison of quantitative myocardial perfusion imaging CT to fluorescent microsphere-based flow from high-resolution cryo-images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97882F - [i1]Yuemeng Li, Xintao Wu, Aidong Lu:
On Spectral Analysis of Directed Signed Graphs. CoRR abs/1612.08102 (2016) - 2015
- [c2]Yuemeng Li, Xintao Wu, Aidong Lu:
Analysis of Spectral Space Properties of Directed Graphs Using Matrix Perturbation Theory with Application in Graph Partition. ICDM 2015: 847-852 - 2014
- [c1]Leting Wu, Xintao Wu, Aidong Lu, Yuemeng Li:
On Spectral Analysis of Signed and Dispute Graphs. ICDM 2014: 1049-1054
Coauthor Index
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