Yuemeng Li

31 papers A* 3A 1B 2C 1Journal 16Unranked 8
YearRankTypeTitle / Venue / Authors
2024 A* conf
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation.
CVPR
Xiaoyang Chen, Hao Zheng, Yuemeng Li, Yuncong Ma, Liang Ma, Hongming Li, Yong Fan
2023 J jnl
Medical Image Segmentation with Domain Adaptation: A Survey.
CoRR
Yuemeng Li, Yong Fan
2023 J jnl
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation.
CoRR
Xiaoyang Chen, Hao Zheng, Yuemeng Li, Yuncong Ma, Liang Ma, Hongming Li, Yong Fan
2022 — conf
Analysis on Visual Tracking Algorithms.
ICISCAE
Yuemeng Li, Yiming Wang
2022 J jnl
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
Yuemeng Li, Hee Kwon Song, Miguel Romanello Joaquim, Stephen Pickup, Rong Zhou, Yong Fan
2021 J jnl
ACEnet: Anatomical context-encoding network for neuroanatomy segmentation.
Medical Image Anal.
Yuemeng Li, Hongming Li, Yong Fan
2021 J jnl
Adaptive convolutional neural networks for accelerating magnetic resonance imaging via
Medical Image Anal.
Tianming Du, Honggang Zhang, Yuemeng Li, Stephen Pickup, Mark Rosen, Rong Zhou, Hee Kwon Song, Yong Fan
2020 J jnl
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation.
CoRR
Yuemeng Li, Hongming Li, Yong Fan
2020 J jnl
Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging.
CoRR
Tianming Du, Honggang Zhang, Yuemeng Li, Hee Kwon Song, Yong Fan
2020 — conf
An Automatic and Rapid Knowledge Graph Construction Method of SG-CIM Model.
SmartCloud
Guidong Wu, Hang Li, Xiaoqi Liao, Yuemeng Li, Yu Huang, Xiang Chen, Qi Liu, Xueyang Liu
2020 — conf
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule Detection.
ISBI
Yuemeng Li, Yang Fan
2020 J jnl
Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis.
IEEE Trans. Biomed. Eng.
Hangfan Liu, Hongming Li, Mohamad Habes, Yuemeng Li, Pamela Boimel, James Janopaul-Naylor, Ying Xiao, Edgar Ben-Josef, Yong Fan
2019 C conf
A Deep Learning Method for Material Performance Recognition in Laser Additive Manufacturing.
INDIN
Yuemeng Li, Hairong Yan, Yuefei Zhang
2019 — conf
Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis.
MICCAI (4)
Hangfan Liu, Hongming Li, Yuemeng Li, Shi Yin, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan
2019 J jnl
Context-endcoding for neural network based skull stripping in magnetic resonance imaging.
CoRR
Zhen Liu, Borui Xiao, Yuemeng Li, Yong Fan
2019 J jnl
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection.
CoRR
Yuemeng Li, Hangfan Liu, Yong Fan
2019 — conf
Dynamic Anomaly Detection Using Vector Autoregressive Model.
PAKDD (1)
Yuemeng Li, Aidong Lu, Xintao Wu, Shuhan Yuan
2019 J jnl
Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation.
CoRR
Yuemeng Li, Hangfan Liu, Hongming Li, Yong Fan
2018 J jnl
A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities.
CoRR
Bo Zhou, Yuemeng Li, Jiangcong Wang
2018 — conf
Immersive Visualization for Abnormal Detection in Heterogeneous Data for On-site Decision Making.
HICSS
Elias Mahfoud, Kodzo Wegba, Yuemeng Li, Honglei Han, Aidong Lu
2018 A conf
Interactive Storytelling for Movie Recommendation through Latent Semantic Analysis.
IUI
Kodzo Wegba, Aidong Lu, Yuemeng Li, Wencheng Wang
2018 J jnl
On spectral analysis of directed signed graphs.
Int. J. Data Sci. Anal.
Yuemeng Li, Shuhan Yuan, Xintao Wu, Aidong Lu
2018 — conf
SLIC robust (SLICR) processing for fast, robust CT myocardial blood flow quantification.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Hao Wu, Brendan L. Eck, Jacob Levi, Anas Fares, Yuemeng Li, Di Wen, Hiram G. Bezerra, David L. Wilson
2017 J jnl
Interactive Movie Recommendation Through Latent Semantic Analysis and Storytelling.
CoRR
Kodzo Wegba, Aidong Lu, Yuemeng Li, Wencheng Wang
2017 B conf
On Spectral Analysis of Directed Signed Graphs.
DSAA
Yuemeng Li, Xintao Wu, Aidong Lu
2017 J jnl
On Spectral Analysis of Signed and Dispute Graphs: Application to Community Structure.
IEEE Trans. Knowl. Data Eng.
Leting Wu, Xintao Wu, Aidong Lu, Yuemeng Li
2016 — conf
Comparison of quantitative myocardial perfusion imaging CT to fluorescent microsphere-based flow from high-resolution cryo-images.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Brendan L. Eck, Rachid Fahmi, Jacob Levi, Anas Fares, Hao Wu, Yuemeng Li, Mani Vembar, Amar Dhanantwari, Hiram G. Bezerra, David L. Wilson
2016 J jnl
On Spectral Analysis of Directed Signed Graphs.
CoRR
Yuemeng Li, Xintao Wu, Aidong Lu
2016 B conf
Social network dominance based on analysis of asymmetry.
ASONAM
Yuemeng Li, Xintao Wu, Song Yang
2015 A* conf
Analysis of Spectral Space Properties of Directed Graphs Using Matrix Perturbation Theory with Application in Graph Partition.
ICDM
Yuemeng Li, Xintao Wu, Aidong Lu
2014 A* conf
On Spectral Analysis of Signed and Dispute Graphs.
ICDM
Leting Wu, Xintao Wu, Aidong Lu, Yuemeng Li