Xingtong Liu
Xingtong Liu
PhD candidate of Computer Science, Johns Hopkins University
Потвърден имейл адрес: jh.edu
Заглавие
Позовавания
Позовавания
Година
Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy
X Liu, A Sinha, M Unberath, M Ishii, G Hager, RH Taylor, A Reiter
Computer Assisted and Robotic Endoscopy Workshop (CARE) at Medical Image …, 2018
292018
Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods
X Liu, A Sinha, M Ishii, GD Hager, A Reiter, RH Taylor, M Unberath
IEEE transactions on medical imaging, 2019
282019
Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks
C Gao, X Liu, M Peven, M Unberath, A Reiter
Computer Assisted and Robotic Endoscopy Workshop (CARE) at Medical Image …, 2018
152018
Endoscopic navigation in the absence of CT imaging
A Sinha, X Liu, A Reiter, M Ishii, GD Hager, RH Taylor
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018, 8 …, 2018
142018
Extremely dense point correspondence using a learned feature descriptor
X Liu, Y Zheng, B Killeen, M Ishii, G Hager, R Taylor, M Unberath
Computer Vision and Pattern Recognition (CVPR), 2020, 2020
112020
The deformable most-likely-point paradigm
A Sinha, SD Billings, A Reiter, X Liu, M Ishii, GD Hager, RH Taylor
Medical image analysis 55, 148-164, 2019
112019
Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers
Z Li, X Liu, N Drenkow, A Ding, FX Creighton, RH Taylor, M Unberath
International Conference on Computer Vision (ICCV) 2021 -- Oral, 2021
92021
Reconstructing Sinus Anatomy from Endoscopic Video -- Towards a Radiation-free Approach for Quantitative Longitudinal Assessment
X Liu, M Stiber, J Huang, M Ishii, GD Hager, RH Taylor, M Unberath
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020 …, 2020
62020
Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration
C Gao, X Liu, W Gu, B Killeen, M Armand, R Taylor, M Unberath
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020 …, 2020
52020
Corpus callosum segmentation in brain mris via robust target-localization and joint supervised feature extraction and prediction
LYW Tang, T Brosch, XT Liu, Y Yoo, A Traboulsee, D Li, R Tam
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2016 …, 2016
22016
LumiPath–Towards Real-Time Physically-Based Rendering on Embedded Devices
L Fink, SC Lee, JY Wu, X Liu, T Song, Y Velikova, M Stamminger, ...
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019 …, 2019
12019
An optical tracker based registration method using feedback for robot-assisted insertion surgeries
Z Li, X Liu, X Xie, G Li, S Mai, Z Wang
2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017
12017
Reconstruction of Orthographic Mosaics from Perspective X-ray Images
J Fotouhi*, X Liu*, M Armand, N Navab, M Unberath
IEEE Transactions on Medical Imaging, 2021
2021
Neighborhood Normalization for Robust Geometric Feature Learning
X Liu*, B Killeen*, A Sinha, M Ishii, GD Hager, RH Taylor, M Unberath
Computer Vision and Pattern Recognition (CVPR), 2021, 2021
2021
Recovering Physiological Changes in Nasal Anatomy with Confidence Estimates
A Sinha, X Liu, M Ishii, GD Hager, RH Taylor
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and …, 2019
2019
Self-supervised Dense 3D Reconstruction from Monocular Endoscopic Video
X Liu, A Sinha, M Ishii, GD Hager, RH Taylor, M Unberath
arXiv preprint arXiv:1909.03101, 2019
2019
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