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2020 – today
- 2024
[j5]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: 103196 (2024)- 2020
- [j4]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)
2010 – 2019
- 2018
- [j3]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): 1310-1321 (2018) - [c7]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: 561-568 - 2017
- [c6]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: 506-517 - [c5]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: 1201-1204 - [i4]Yuanhan Mo, Fangde Liu, Jingqing Zhang, Guang Yang, Taigang He, Yike Guo:
Deep Poincare Map For Robust Medical Image Segmentation. CoRR abs/1703.09200 (2017) - [i3]Hao Dong, Guang Yang, Fangde Liu, Yuanhan Mo, Yike Guo:
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks. CoRR abs/1705.03820 (2017) - [i2]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 abs/1705.07137 (2017) - [i1]Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, Yike Guo:
TensorLayer: A Versatile Library for Efficient Deep Learning Development. CoRR abs/1707.08551 (2017) - 2016
- [j2]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): 601-608 (2016) - 2015
- [c4]Christopher Burrows, Fangde Liu, Ferdinando Rodriguez y Baena:
Smooth on-line path planning for needle steering with non-linear constraints. IROS 2015: 2653-2658 - [c3]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: 626-631 - 2013
- [j1]Fangde Liu, Richard Southern, Shihui Guo, Xiaosong Yang, Jian J. Zhang:
Motion Adaptation With Motor Invariant Theory. IEEE Trans. Cybern. 43(3): 1131-1145 (2013) - [c2]Fangde Liu, Christopher Burrows, Ferdinando Rodriguez y Baena:
Deformation-as-control for a biologically inspired steerable needle. ROBIO 2013: 848-853 - 2012
- [b1]Fangde Liu:
Adaptive motion synthesis and motor invariant theory. Bournemouth University, Poole, UK, 2012 - [c1]Richard Southern, Shihui Guo, Fangde Liu, Jian J. Zhang:
A biologically inspired latent space for gait parameterization. SIGGRAPH Posters 2012: 1
Coauthor Index
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