Fangde Liu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 11

Top Venues

CoRR

IEEE Robotics Autom. Lett.

Medical Image Anal.

MIUA

Bournemouth University, Poole, UK (PHD)

Education History

Bournemouth University, Poole, UK

PHD

Publications

Yuanhan Mo, Fangde Liu, Guang Yang, Shuo Wang, Jian-Qing Zheng, Fuping Wu, Bartlomiej W. Papiez, Douglas McIlwraith, Taigang He, Yike Guo
Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation. Medical Image Anal. 95 (2024)
Yanran Li, Lingteng Qiu, Li Wang, Fangde Liu, Zhao Wang, Sebastian Iulian Poiana, Xiaosong Yang, Jian-Jun Zhang
Densely connected GCN model for motion prediction. Comput. Animat. Virtual Worlds 31 (4-5) (2020)
Guang Yang, Simiao Yu, Hao Dong, Gregory G. Slabaugh, Pier Luigi Dragotti, Xujiong Ye, Fangde Liu, Simon R. Arridge, Jennifer Keegan, Yike Guo, David N. Firmin
DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction. IEEE Trans. Medical Imaging 37 (6) (2018)
Yuanhan Mo, Fangde Liu, Douglas McIlwraith, Guang Yang, Jingqing Zhang, Taigang He, Yike Guo
The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation. MICCAI (4) (2018)
Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, Yike Guo
TensorLayer: A Versatile Library for Efficient Deep Learning Development. CoRR (2017)
Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, Yike Guo
TensorLayer: A Versatile Library for Efficient Deep Learning Development. ACM Multimedia (2017)
Hao Dong, Guang Yang, Fangde Liu, Yuanhan Mo, Yike Guo
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks. CoRR (2017)
Yuanhan Mo, Fangde Liu, Jingqing Zhang, Guang Yang, Taigang He, Yike Guo
Deep Poincare Map For Robust Medical Image Segmentation. CoRR (2017)
Hao Dong, Guang Yang, Fangde Liu, Yuanhan Mo, Yike Guo
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks. MIUA (2017)
Simiao Yu, Hao Dong, Guang Yang, Greg G. Slabaugh, Pier Luigi Dragotti, Xujiong Ye, Fangde Liu, Simon R. Arridge, Jennifer Keegan, David N. Firmin, Yike Guo
Deep De-Aliasing for Fast Compressive Sensing MRI. CoRR (2017)
Fangde Liu, Arnau Garriga-Casanovas, Riccardo Secoli, Ferdinando Rodriguez y Baena
Fast and Adaptive Fractal Tree-Based Path Planning for Programmable Bevel Tip Steerable Needles. IEEE Robotics Autom. Lett. 1 (2) (2016)
Christopher Burrows, Fangde Liu, Ferdinando Rodriguez y Baena
Smooth on-line path planning for needle steering with non-linear constraints. IROS (2015)
Fangde Liu, Joshua G. Petersen, Ferdinando Rodriguez y Baena
Parallel moduli space sampling: Robust and fast surgery planning for image guided steerable needles. ROBIO (2015)
Fangde Liu, Christopher Burrows, Ferdinando Rodriguez y Baena
Deformation-as-control for a biologically inspired steerable needle. ROBIO (2013)
Fangde Liu, Richard Southern, Shihui Guo, Xiaosong Yang, Jian J. Zhang
Motion Adaptation With Motor Invariant Theory. IEEE Trans. Cybern. 43 (3) (2013)
Richard Southern, Shihui Guo, Fangde Liu, Jian J. Zhang
A biologically inspired latent space for gait parameterization. SIGGRAPH Posters (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fangde Liu