Anqi Feng

According to our database, Anqi Feng authored at least 17 papers between 2018 and 2024.

Collaborative distances:

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

2024

A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers.

Cong Gao, Anqi Feng, Xingtong Liu, Russell H. Taylor, Mehran Armand, Mathias Unberath

IEEE Trans. Medical Imaging, January, 2024

2023

Automated Artifact Detection in Ultra-widefield Fundus Photography of Patients with Sickle Cell Disease.

Anqi Feng, Dimitri Johnson, Grace R. Reilly, Loka Thangamathesvaran, Ann Nampomba, Mathias Unberath, Adrienne W. Scott, Craig K. Jones

CoRR, 2023

Segmenting thalamic nuclei from manifold projections of multi-contrast MRI.

Chang Yan, Muhan Shao, Zhangxing Bian, Anqi Feng, Yuan Xue, Jiachen Zhuo, Rao P. Gullapalli, Aaron Carass, Jerry L. Prince

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Investigation of probability maps in deep-learning-based brain ventricle parcellation.

Yuli Wang, Anqi Feng, Yuan Xue, Muhan Shao, Ari M. Blitz, Mark D. Luciano, Aaron Carass, Jerry L. Prince

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Automated Ventricle Parcellation and Evan's Ratio Computation in Pre- and Post-Surgical Ventriculomegaly.

Yuli Wang, Anqi Feng, Yuan Xue, Lianrui Zuo, Yihao Liu, Ari M. Blitz, Mark G. Luciano, Aaron Carass, Jerry L. Prince

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Label Propagation Via Random Walk for Training Robust Thalamus Nuclei Parcellation Model from Noisy Annotations.

Anqi Feng, Yuan Xue, Yuli Wang, Chang Yan, Zhangxing Bian, Muhan Shao, Jiachen Zhuo, Rao P. Gullapalli, Aaron Carass, Jerry L. Prince

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks.

Liang Huang, Xu Feng, Anqi Feng, Yupin Huang, Li Ping Qian

Mob. Networks Appl., 2022

2020

边缘计算构架下基于孤立森林算法的DoS异常检测 (DoS Anomaly Detection Based on Isolation Forest Algorithm Under Edge Computing Framework).

Jia Chen, Jinyuan Ouyang, Anqi Feng, Yuan Wu, Liping Qian

计算机科学, 2020

Vehicular Networking-Enabled Vehicle State Prediction via Two-Level Quantized Adaptive Kalman Filtering.

Li Ping Qian, Anqi Feng, Ningning Yu, Wenchao Xu, Yuan Wu

IEEE Internet Things J., 2020

2019

RFID环境下基于自适应卡尔曼滤波的高速移动车辆速度预测 (RFID Data-driven Vehicle Speed Prediction Using Adaptive Kalman Filter).

Anqi Feng, Liping Qian, Yupin Huang, Yuan Wu

计算机科学, 2019

Optimal SIC Ordering and Computation Resource Allocation in MEC-Aware NOMA NB-IoT Networks.

Li Ping Qian, Anqi Feng, Yupin Huang, Yuan Wu, Bo Ji, Zhiguo Shi

IEEE Internet Things J., 2019

Short-Term Traffic Prediction by Two-Level Data Driven Model in 5G-Enabled Edge Computing Networks.

Yupin Huang, Liping Qian, Anqi Feng, Ningning Yu, Yuan Wu

IEEE Access, 2019

Computational offloading Strategy based on Dynamic Particle Swarm for Multi-User Mobile Edge Computing.

Qiuyue Wei, Li'ang Liu, Fansi Wei, Haibo Ge, Anqi Feng, Yan Wang, Wenhao Li

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Deep RL-Based Time Scheduling and Power Allocation in EH Relay Communication Networks.

Li Ping Qian, Anqi Feng, Xu Feng, Yuan Wu

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

RFID Data-Driven Vehicle Speed Prediction via Adaptive Extended Kalman Filter.

Yupin Huang, Liping Qian, Anqi Feng, Yuan Wu, Wei Zhu

Sensors, 2018

Speed Prediction of High Speed Mobile Vehicle Based on Extended Kalman Filter in RFID System.

Yupin Huang, Liping Qian, Anqi Feng

Proceedings of the Machine Learning and Intelligent Communications, 2018

RFID Data-Driven Vehicle Speed Prediction Using Adaptive Kalman Filter.

Anqi Feng, Liping Qian, Yupin Huang

Proceedings of the Machine Learning and Intelligent Communications, 2018