Tianjiao Liu

According to our database, Tianjiao Liu authored at least 15 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

GAN-Guided Deformable Attention Network for Identifying Thyroid Nodules in Ultrasound Images.

Jintao Lu, Xi Ouyang, Xueda Shen, Tianjiao Liu, Zhiming Cui, Qian Wang, Dinggang Shen

IEEE J. Biomed. Health Informatics, 2022

SparseShift-GCN: High precision skeleton-based action recognition.

Ying Zang, Dongsheng Yang, Tianjiao Liu, Hui Li, Shuguang Zhao, Qingshan Liu

Pattern Recognit. Lett., 2022

2020

Decoding Analysis of Alpha Oscillation Networks on Maintaining Driver Alertness.

Chi Zhang, Jinfei Ma, Jian Zhao, Pengbo Liu, Fengyu Cong, Tianjiao Liu, Ying Li, Lina Sun, Ruosong Chang

Entropy, 2020

Cascaded Networks for Thyroid Nodule Diagnosis from Ultrasound Images.

Xueda Shen, Xi Ouyang, Tianjiao Liu, Dinggang Shen

Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020

Identifying Thyroid Nodules in Ultrasound Images Through Segmentation-Guided Discriminative Localization.

Jintao Lu, Xi Ouyang, Tianjiao Liu, Dinggang Shen

Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020

2019

Electrospinning Nanoparticles-Based Materials Interfaces for Sensor Applications.

Shan Zhang, Zhenxin Jia, Tianjiao Liu, Gang Wei, Zhiqiang Su

Sensors, 2019

Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks.

Tianjiao Liu, Qianqian Guo, Chunfeng Lian, Xuhua Ren, Shujun Liang, Jing Yu, Lijuan Niu, Weidong Sun, Dinggang Shen

Medical Image Anal., 2019

2018

Classification of Rice Heavy Metal Stress Levels Based on Phenological Characteristics Using Remote Sensing Time-Series Images and Data Mining Algorithms.

Tianjiao Liu, Xiangnan Liu, Meiling Liu, Ling Wu

Sensors, 2018

Evaluating Heavy Metal Stress Levels in Rice Based on Remote Sensing Phenology.

Tianjiao Liu, Xiangnan Liu, Meiling Liu, Ling Wu

Sensors, 2018

2017

Feature selection and thyroid nodule classification using transfer learning.

Tianjiao Liu, Shuaining Xie, Yukang Zhang, Jing Yu, Lijuan Niu, Weidong Sun

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Computer-Aided Diagnosis in Chest Radiography with Deep Multi-Instance Learning.

Kang Qu, Xiangfei Chai, Tianjiao Liu, Yadong Zhang, Biao Leng, Zhang Xiong

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Classification of thyroid nodules in ultrasound images using deep model based transfer learning and hybrid features.

Tianjiao Liu, Shuaining Xie, Jing Yu, Lijuan Niu, Weidong Sun

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Modeling and analysis of stacked depletion-mode NMOS transistors for RF switch applications.

Runtao Ning, Tianjiao Liu, Wendi Wang, Zheng John Shen

Proceedings of the IEEE International Conference on Electro Information Technology, 2017

2013

CMT-QA: Quality-Aware Adaptive Concurrent Multipath Data Transfer in Heterogeneous Wireless Networks.

Changqiao Xu, Tianjiao Liu, Jianfeng Guan, Hongke Zhang, Gabriel-Miro Muntean

IEEE Trans. Mob. Comput., 2013

2012

PAPR Reduction for 802.16e by Clipping and Tone Reservation Based on Amplitude Scale Factor.

Tianjiao Liu, Xu Li, Cheng Chen, Shulin Cui, Ying Liu

Proceedings of the Pervasive Computing and the Networked World, 2012