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Peichao Li
Peichao Li
Verified email at kcl.ac.uk
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Automatic microsurgical skill assessment based on cross-domain transfer learning
D Zhang, Z Wu, J Chen, A Gao, X Chen, P Li, Z Wang, G Yang, B Lo, ...
IEEE Robotics and Automation Letters 5 (3), 4148-4155, 2020
392020
Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI
H McGrath, P Li, R Dorent, R Bradford, S Saeed, S Bisdas, S Ourselin, ...
International journal of computer assisted radiology and surgery 15, 1445-1455, 2020
292020
Acnn: a full resolution dcnn for medical image segmentation
XY Zhou, JQ Zheng, P Li, GZ Yang
2020 IEEE International Conference on Robotics and Automation (ICRA), 8455-8461, 2020
252020
One-stage shape instantiation from a single 2D image to 3D point cloud
XY Zhou, ZY Wang, P Li, JQ Zheng, GZ Yang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
202019
Deep learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction
P Li, M Ebner, P Noonan, C Horgan, A Bahl, S Ourselin, J Shapey, ...
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2022
122022
U-net training with instance-layer normalization
XY Zhou, P Li, ZY Wang, GZ Yang
Multiscale Multimodal Medical Imaging: First International Workshop, MMMI …, 2020
122020
Instantiation-Net: 3D mesh reconstruction from single 2D image for right ventricle
ZY Wang, XY Zhou, P Li, C Theodoreli-Riga, GZ Yang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
102020
Z-Net: an Asymmetric 3D DCNN for Medical CT Volume Segmentation
P Li, XY Zhou, Z WANG, G YANG
ArXiv abs/1909.07480, 2019
7*2019
Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: application to surgical imaging
P Li, M Asad, C Horgan, O MacCormac, J Shapey, T Vercauteren
International journal of computer assisted radiology and surgery 18 (6), 981-988, 2023
42023
Methodology development and evaluation of optical properties characterisation of small size tissue samples
Y Xie, J Shapey, E Nabavi, P Li, A Bahl, M Ebner, T Vercauteren
arXiv preprint arXiv:2107.04909, 2021
22021
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