Fangde Liu

According to our database, Fangde Liu authored at least 15 papers between 2012 and 2024.

Collaborative distances:

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

2024

Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation.

Yuanhan Mo, Fangde Liu, Guang Yang, Shuo Wang, Jian-Qing Zheng, Fuping Wu, Bartlomiej W. Papiez, Douglas McIlwraith, Taigang He, Yike Guo

Medical Image Anal., 2024

2020

Densely connected GCN model for motion prediction.

Yanran Li, Lingteng Qiu, Li Wang, Fangde Liu, Zhao Wang, Sebastian Iulian Poiana, Xiaosong Yang, Jian-Jun Zhang

Comput. Animat. Virtual Worlds, 2020

2018

DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction.

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

IEEE Trans. Medical Imaging, 2018

The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation.

Yuanhan Mo, Fangde Liu, Douglas McIlwraith, Guang Yang, Jingqing Zhang, Taigang He, Yike Guo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Deep De-Aliasing for Fast Compressive Sensing MRI.

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

CoRR, 2017

Deep Poincare Map For Robust Medical Image Segmentation.

Yuanhan Mo, Fangde Liu, Jingqing Zhang, Guang Yang, Taigang He, Yike Guo

CoRR, 2017

TensorLayer: A Versatile Library for Efficient Deep Learning Development.

Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, Yike Guo

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks.

Hao Dong, Guang Yang, Fangde Liu, Yuanhan Mo, Yike Guo

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

2016

Fast and Adaptive Fractal Tree-Based Path Planning for Programmable Bevel Tip Steerable Needles.

Fangde Liu, Arnau Garriga-Casanovas, Riccardo Secoli, Ferdinando Rodriguez y Baena

IEEE Robotics Autom. Lett., 2016

2015

Parallel moduli space sampling: Robust and fast surgery planning for image guided steerable needles.

Fangde Liu, Joshua G. Petersen, Ferdinando Rodriguez y Baena

Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015

Smooth on-line path planning for needle steering with non-linear constraints.

Christopher Burrows, Fangde Liu, Ferdinando Rodriguez y Baena

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2013

Motion Adaptation With Motor Invariant Theory.

Fangde Liu, Richard Southern, Shihui Guo, Xiaosong Yang, Jian J. Zhang

IEEE Trans. Cybern., 2013

Deformation-as-control for a biologically inspired steerable needle.

Fangde Liu, Christopher Burrows, Ferdinando Rodriguez y Baena

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013

2012

Adaptive motion synthesis and motor invariant theory.

Fangde Liu

PhD thesis, 2012

A biologically inspired latent space for gait parameterization.

Richard Southern, Shihui Guo, Fangde Liu, Jian J. Zhang

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2012