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Anqi Feng
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2020 – today
- 2024
- [j8]Cong Gao, Anqi Feng, Xingtong Liu, Russell H. Taylor, Mehran Armand, Mathias Unberath:
A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers. IEEE Trans. Medical Imaging 43(1): 275-285 (2024) - 2023
- [c8]Anqi Feng, Yuan Xue, Yuli Wang, Chang Yan, Zhangxing Bian, Muhan Shao, Jiachen Zhuo, Rao P. Gullapalli, Aaron Carass, Jerry L. Prince:
Label Propagation Via Random Walk for Training Robust Thalamus Nuclei Parcellation Model from Noisy Annotations. ISBI 2023: 1-5 - [c7]Yuli Wang, Anqi Feng, Yuan Xue, Lianrui Zuo, Yihao Liu, Ari M. Blitz, Mark G. Luciano, Aaron Carass, Jerry L. Prince:
Automated Ventricle Parcellation and Evan's Ratio Computation in Pre- and Post-Surgical Ventriculomegaly. ISBI 2023: 1-5 - [c6]Yuli Wang, Anqi Feng, Yuan Xue, Muhan Shao, Ari M. Blitz, Mark D. Luciano, Aaron Carass, Jerry L. Prince:
Investigation of probability maps in deep-learning-based brain ventricle parcellation. Image Processing 2023 - [c5]Chang Yan, Muhan Shao, Zhangxing Bian, Anqi Feng, Yuan Xue, Jiachen Zhuo, Rao P. Gullapalli, Aaron Carass, Jerry L. Prince:
Segmenting thalamic nuclei from manifold projections of multi-contrast MRI. Image Processing 2023 - [i2]Chang Yan, Muhan Shao, Zhangxing Bian, Anqi Feng, Yuan Xue, Jiachen Zhuo, Rao P. Gullapalli, Aaron Carass, Jerry L. Prince:
Segmenting thalamic nuclei from manifold projections of multi-contrast MRI. CoRR abs/2301.06114 (2023) - [i1]Anqi Feng, Dimitri Johnson, Grace R. Reilly, Loka Thangamathesvaran, Ann Nampomba, Mathias Unberath, Adrienne W. Scott, Craig K. Jones:
Automated Artifact Detection in Ultra-widefield Fundus Photography of Patients with Sickle Cell Disease. CoRR abs/2307.05780 (2023) - 2022
- [j7]Liang Huang, Xu Feng, Anqi Feng, Yupin Huang, Li Ping Qian:
Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks. Mob. Networks Appl. 27(3): 1123-1130 (2022) - 2020
- [j6]Li Ping Qian, Anqi Feng, Ningning Yu, Wenchao Xu, Yuan Wu:
Vehicular Networking-Enabled Vehicle State Prediction via Two-Level Quantized Adaptive Kalman Filtering. IEEE Internet Things J. 7(8): 7181-7193 (2020) - [j5]Jia Chen, Jinyuan Ouyang, Anqi Feng, Yuan Wu, Liping Qian:
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). 计算机科学 47(2): 287-293 (2020)
2010 – 2019
- 2019
- [j4]Yupin Huang, Liping Qian, Anqi Feng, Ningning Yu, Yuan Wu:
Short-Term Traffic Prediction by Two-Level Data Driven Model in 5G-Enabled Edge Computing Networks. IEEE Access 7: 123981-123991 (2019) - [j3]Li Ping Qian, Anqi Feng, Yupin Huang, Yuan Wu, Bo Ji, Zhiguo Shi:
Optimal SIC Ordering and Computation Resource Allocation in MEC-Aware NOMA NB-IoT Networks. IEEE Internet Things J. 6(2): 2806-2816 (2019) - [j2]Anqi Feng, Liping Qian, Yupin Huang, Yuan Wu:
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). 计算机科学 46(4): 100-105 (2019) - [c4]Li Ping Qian, Anqi Feng, Xu Feng, Yuan Wu:
Deep RL-Based Time Scheduling and Power Allocation in EH Relay Communication Networks. ICC 2019: 1-7 - [c3]Qiuyue Wei, Li'ang Liu, Fansi Wei, Haibo Ge, Anqi Feng, Yan Wang, Wenhao Li:
Computational offloading Strategy based on Dynamic Particle Swarm for Multi-User Mobile Edge Computing. SSCI 2019: 2890-2896 - 2018
- [j1]Yupin Huang, Liping Qian, Anqi Feng, Yuan Wu, Wei Zhu:
RFID Data-Driven Vehicle Speed Prediction via Adaptive Extended Kalman Filter. Sensors 18(9): 2787 (2018) - [c2]Anqi Feng, Liping Qian, Yupin Huang:
RFID Data-Driven Vehicle Speed Prediction Using Adaptive Kalman Filter. MLICOM 2018: 43-51 - [c1]Yupin Huang, Liping Qian, Anqi Feng:
Speed Prediction of High Speed Mobile Vehicle Based on Extended Kalman Filter in RFID System. MLICOM 2018: 52-59
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