A biologically inspired latent space for gait parameterization. - Richard Southern; Shihui Guo; Fangde Liu; Jian J. Zhang 001 (SIGGRAPH Posters, 2012)

Adaptive motion synthesis and motor invariant theory. - Fangde Liu (2012)

Deformation-as-control for a biologically inspired steerable needle. - Fangde Liu; Christopher Burrows 001; Ferdinando Rodriguez y Baena (ROBIO, 2013)

Motion Adaptation With Motor Invariant Theory. - Fangde Liu; Richard Southern; Shihui Guo; Xiaosong Yang; Jian J. Zhang 001 (IEEE Trans. Cybern., 2013)

Smooth on-line path planning for needle steering with non-linear constraints. - Christopher Burrows 001; Fangde Liu; Ferdinando Rodriguez y Baena (IROS, 2015)

Parallel moduli space sampling: Robust and fast surgery planning for image guided steerable needles. - Fangde Liu; Joshua G. Petersen; Ferdinando Rodriguez y Baena (ROBIO, 2015)

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)

Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks. - Hao Dong 003; Guang Yang 006; Fangde Liu; Yuanhan Mo; Yike Guo (MIUA, 2017)

TensorLayer: A Versatile Library for Efficient Deep Learning Development. - Hao Dong 003; Akara Supratak; Luo Mai; Fangde Liu; Axel Oehmichen; Simiao Yu; Yike Guo (ACM Multimedia, 2017)

Deep Poincare Map For Robust Medical Image Segmentation. - Yuanhan Mo; Fangde Liu; Jingqing Zhang; Guang Yang 006; Taigang He; Yike Guo (CoRR, 2017)

Deep De-Aliasing for Fast Compressive Sensing MRI. - Simiao Yu; Hao Dong 003; Guang Yang 006; Greg G. Slabaugh; Pier Luigi Dragotti; Xujiong Ye; Fangde Liu; Simon R. Arridge; Jennifer Keegan; David N. Firmin; Yike Guo (CoRR, 2017)

The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation. - Yuanhan Mo; Fangde Liu; Douglas McIlwraith; Guang Yang 006; Jingqing Zhang; Taigang He; Yike Guo (MICCAI (4), 2018)

DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction. - Guang Yang 006; Simiao Yu; Hao Dong 003; 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)

Densely connected GCN model for motion prediction. - Yanran Li; Lingteng Qiu; Li Wang 105; Fangde Liu; Zhao Wang; Sebastian Iulian Poiana; Xiaosong Yang; Jian-Jun Zhang 001 (Comput. Animat. Virtual Worlds, 2020)

Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation. - Yuanhan Mo; Fangde Liu; Guang Yang 006; Shuo Wang 011; Jian-Qing Zheng; Fuping Wu; Bartlomiej W. Papiez; Douglas McIlwraith; Taigang He; Yike Guo (Medical Image Anal., 2024)