Lijuan Niu - RankMe

19 papers B 1Misc 2Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A novel evaluation benchmark for medical LLMs illuminating safety and effectiveness in clinical domains. npj Digit. Medicine Shirui Wang, Zhihui Tang, Huaxia Yang, Qiuhong Gong, Tiantian Gu, Hongyang Ma, Yongxin Wang, Wubin Sun, Zeliang Lian, Kehang Mao, Yinan Jiang, Zhicheng Huang, Lingyun Ma, Wenjie Shen, Yajie Ji, Yunhui Tan, Chunbo Wang, Yunlu Gao, Qianling Ye, Rui Lin, Mingyu Chen, Lijuan Niu, Zhihao Wang, Peng Yu, Mengran Lang, Yue Liu, Huimin Zhang, Haitao Shen, Long Chen, Qiguang Zhao, Si-Xuan Liu, Lina Zhou, Hua Gao, Dongqiang Ye, Lingmin Meng, Youtao Yu, Naixin Liang, Jianxiong Wu
2026	J	`jnl`	Dynamic learning of sample ambiguity-driven sample weighting for medical image classification. Expert Syst. Appl. Guanxiu Yi, Xiabi Liu, Ling Ma, Mengqiao Han, Lijuan Niu
2026	J	`jnl`	Nodule-DETR: A Novel DETR Architecture with Frequency-Channel Attention for Ultrasound Thyroid Nodule Detection. CoRR Jingjing Wang, Qianglin Liu, Zhuo Xiao, Xinning Yao, Bo Liu, Lu Li, Lijuan Niu, Fugen Zhou
2026	J	`jnl`	Prior-Guided DETR for Ultrasound Nodule Detection. CoRR Jingjing Wang, Zhuo Xiao, Xinning Yao, Bo Liu, Lijuan Niu, Xiangzhi Bai, Fugen Zhou
2025	B	`conf`	A Brain-Inspired Dual-Stream Neural Network for Tumor Classification in Ultrasound Images. SMC Chaochao Lin, Said Boumaraf, Xiabi Liu, Qianglin Liu, Lijuan Niu, Naoufel Werghi
2025	J	`jnl`	A Novel Evaluation Benchmark for Medical LLMs: Illuminating Safety and Effectiveness in Clinical Domains. CoRR Shirui Wang, Zhihui Tang, Huaxia Yang, Qiuhong Gong, Tiantian Gu, Hongyang Ma, Yongxin Wang, Wubin Sun, Zeliang Lian, Kehang Mao, Yinan Jiang, Zhicheng Huang, Lingyun Ma, Wenjie Shen, Yajie Ji, Yunhui Tan, Chunbo Wang, Yunlu Gao, Qianling Ye, Rui Lin, Mingyu Chen, Lijuan Niu, Zhihao Wang, Peng Yu, Mengran Lang, Yue Liu, Huimin Zhang, Haitao Shen, Long Chen, Qiguang Zhao, Si-Xuan Liu, Lina Zhou, Hua Gao, Dongqiang Ye, Lingmin Meng, Youtao Yu, Naixin Liang, Jianxiong Wu
2025	J	`jnl`	A new class correlation-based dynamic sample weighting method for medical image classification. Appl. Intell. Guanxiu Yi, Ling Ma, Xiabi Liu, Zhaoyang Hai, Yunlong Li, Mengqiao Han, Yang Chao, Lijuan Niu, Yuehao Song
2025	J	`jnl`	Dictionary Expansion for Incompletely Overlapped Multi- and Hyperspectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. Xiaolin Han, Jiaxun Li, Wei Wang, Lijuan Niu, Weidong Sun
2024	J	`jnl`	Adaptive Hypersphere Data Description for few-shot one-class classification. Appl. Intell. Yuchen Ren, Xiabi Liu, Liyuan Pan, Lijuan Niu
2024	J	`jnl`	Combining radiomics with thyroid imaging reporting and data system to predict lateral cervical lymph node metastases in medullary thyroid cancer. BMC Medical Imaging Zhiqiang Liu, Xiwei Zhang, Xiaohui Zhao, Qianqian Guo, Zhengjiang Li, Minghui Wei, Lijuan Niu, Changming An
2024	J	`jnl`	Reconstructing Deep Neural Networks: Unleashing the Optimization Potential of Natural Gradient Descent. CoRR Weihua Liu, Said Boumaraf, Jianwu Li, Chaochao Lin, Xiabi Liu, Lijuan Niu, Naoufel Werghi
2024	J	`jnl`	Shape-margin knowledge augmented network for thyroid nodule segmentation and diagnosis. Comput. Methods Programs Biomed. Weihua Liu, Chaochao Lin, Duanduan Chen, Lijuan Niu, Rui Zhang, Zhaoqiong Pi
2024	J	`jnl`	Stationary distribution and probability density function of a stochastic COVID-19 infections model with general incidence. J. Frankl. Inst. Lijuan Niu, Qiaoling Chen, Zhidong Teng, Ramziya Rifhat, Ge Zhang
2019	J	`jnl`	Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks. Medical Image Anal. Tianjiao Liu, Qianqian Guo, Chunfeng Lian, Xuhua Ren, Shujun Liang, Jing Yu, Lijuan Niu, Weidong Sun, Dinggang Shen
2017	Misc	`conf`	Classification of thyroid nodules in ultrasound images using deep model based transfer learning and hybrid features. ICASSP Tianjiao Liu, Shuaining Xie, Jing Yu, Lijuan Niu, Weidong Sun
2017	J	`jnl`	Feature Extraction for Hyperspectral Images Using Low-Rank Representation With Neighborhood Preserving Regularization. IEEE Geosci. Remote. Sens. Lett. Mengdi Wang, Jing Yu, Lijuan Niu, Weidong Sun
2017	—	`conf`	Feature selection and thyroid nodule classification using transfer learning. ISBI Tianjiao Liu, Shuaining Xie, Yukang Zhang, Jing Yu, Lijuan Niu, Weidong Sun
2017	Misc	`conf`	Unsupervised feature extraction for hyperspectral images using combined low rank representation and locally linear embedding. ICASSP Mengdi Wang, Jing Yu, Lijuan Niu, Weidong Sun
2016	—	`conf`	Hyperspectral Image Denoising Based on Subspace Low Rank Representation. GRMSE (2) Mengdi Wang, Jing Yu, Lijuan Niu, Weidong Sun