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Lijuan Niu
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2020 – today
- 2024
- [j6]Yuchen Ren
, Xiabi Liu, Liyuan Pan, Lijuan Niu:
Adaptive Hypersphere Data Description for few-shot one-class classification. Appl. Intell. 54(24): 12885-12897 (2024) - [j5]Zhiqiang Liu
, Xiwei Zhang, Xiaohui Zhao, Qianqian Guo, Zhengjiang Li, Minghui Wei, Lijuan Niu, Changming An:
Combining radiomics with thyroid imaging reporting and data system to predict lateral cervical lymph node metastases in medullary thyroid cancer. BMC Medical Imaging 24(1): 64 (2024) - [j4]Weihua Liu
, Chaochao Lin
, Duanduan Chen, Lijuan Niu, Rui Zhang, Zhaoqiong Pi
:
Shape-margin knowledge augmented network for thyroid nodule segmentation and diagnosis. Comput. Methods Programs Biomed. 244: 107999 (2024) - [j3]Lijuan Niu, Qiaoling Chen, Zhidong Teng, Ramziya Rifhat, Ge Zhang:
Stationary distribution and probability density function of a stochastic COVID-19 infections model with general incidence. J. Frankl. Inst. 361(12): 106963 (2024) - [i1]Weihua Liu, Said Boumaraf, Jianwu Li, Chaochao Lin, Xiabi Liu, Lijuan Niu, Naoufel Werghi:
Reconstructing Deep Neural Networks: Unleashing the Optimization Potential of Natural Gradient Descent. CoRR abs/2412.07441 (2024)
2010 – 2019
- 2019
- [j2]Tianjiao Liu
, Qianqian Guo, Chunfeng Lian
, Xuhua Ren, Shujun Liang, Jing Yu, Lijuan Niu, Weidong Sun, Dinggang Shen:
Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks. Medical Image Anal. 58 (2019) - 2017
- [j1]Mengdi Wang
, Jing Yu, Lijuan Niu, Weidong Sun:
Feature Extraction for Hyperspectral Images Using Low-Rank Representation With Neighborhood Preserving Regularization. IEEE Geosci. Remote. Sens. Lett. 14(6): 836-840 (2017) - [c4]Tianjiao Liu, Shuaining Xie, Jing Yu, Lijuan Niu, Weidong Sun:
Classification of thyroid nodules in ultrasound images using deep model based transfer learning and hybrid features. ICASSP 2017: 919-923 - [c3]Mengdi Wang, Jing Yu, Lijuan Niu, Weidong Sun:
Unsupervised feature extraction for hyperspectral images using combined low rank representation and locally linear embedding. ICASSP 2017: 1428-1431 - [c2]Tianjiao Liu, Shuaining Xie, Yukang Zhang, Jing Yu, Lijuan Niu, Weidong Sun:
Feature selection and thyroid nodule classification using transfer learning. ISBI 2017: 1096-1099 - 2016
- [c1]Mengdi Wang, Jing Yu, Lijuan Niu, Weidong Sun:
Hyperspectral Image Denoising Based on Subspace Low Rank Representation. GRMSE (2) 2016: 51-59
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