Fangde Liu

17 papers A* 1A 1Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation.
Medical Image Anal.
Yuanhan Mo, Fangde Liu, Guang Yang, Shuo Wang, Jian-Qing Zheng, Fuping Wu, Bartlomiej W. Papiez, Douglas McIlwraith, Taigang He, Yike Guo
2020 J jnl
Densely connected GCN model for motion prediction.
Comput. Animat. Virtual Worlds
Yanran Li, Lingteng Qiu, Li Wang, Fangde Liu, Zhao Wang, Sebastian Iulian Poiana, Xiaosong Yang, Jian-Jun Zhang
2018 J jnl
DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction.
IEEE Trans. Medical Imaging
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
2018 — conf
The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation.
MICCAI (4)
Yuanhan Mo, Fangde Liu, Douglas McIlwraith, Guang Yang, Jingqing Zhang, Taigang He, Yike Guo
2017 — conf
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks.
MIUA
Hao Dong, Guang Yang, Fangde Liu, Yuanhan Mo, Yike Guo
2017 J jnl
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks.
CoRR
Hao Dong, Guang Yang, Fangde Liu, Yuanhan Mo, Yike Guo
2017 J jnl
Deep De-Aliasing for Fast Compressive Sensing MRI.
CoRR
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
2017 J jnl
Deep Poincare Map For Robust Medical Image Segmentation.
CoRR
Yuanhan Mo, Fangde Liu, Jingqing Zhang, Guang Yang, Taigang He, Yike Guo
2017 A* conf
TensorLayer: A Versatile Library for Efficient Deep Learning Development.
ACM Multimedia
Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, Yike Guo
2017 J jnl
TensorLayer: A Versatile Library for Efficient Deep Learning Development.
CoRR
Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, Yike Guo
2016 J jnl
Fast and Adaptive Fractal Tree-Based Path Planning for Programmable Bevel Tip Steerable Needles.
IEEE Robotics Autom. Lett.
Fangde Liu, Arnau Garriga-Casanovas, Riccardo Secoli, Ferdinando Rodriguez y Baena
2015 — conf
Parallel moduli space sampling: Robust and fast surgery planning for image guided steerable needles.
ROBIO
Fangde Liu, Joshua G. Petersen, Ferdinando Rodriguez y Baena
2015 A conf
Smooth on-line path planning for needle steering with non-linear constraints.
IROS
Christopher Burrows, Fangde Liu, Ferdinando Rodriguez y Baena
2013 — conf
Deformation-as-control for a biologically inspired steerable needle.
ROBIO
Fangde Liu, Christopher Burrows, Ferdinando Rodriguez y Baena
2013 J jnl
Motion Adaptation With Motor Invariant Theory.
IEEE Trans. Cybern.
Fangde Liu, Richard Southern, Shihui Guo, Xiaosong Yang, Jian J. Zhang
2012 — conf
A biologically inspired latent space for gait parameterization.
SIGGRAPH Posters
Richard Southern, Shihui Guo, Fangde Liu, Jian J. Zhang
2012 — —
Adaptive motion synthesis and motor invariant theory.
Fangde Liu