| 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 | 220 | 2021 |
| 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 | 120 | 2019 |
| 2018 robotic scene segmentation challenge M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ... arXiv preprint arXiv:2001.11190, 2020 | 70 | 2020 |
| 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 | 57 | 2018 |
| 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 | 49 | 2020 |
| 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 | 42 | 2020 |
| 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 | 31 | 2018 |
| 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 | 29 | 2020 |
| SAGE: SLAM with Appearance and Geometry Prior for Endoscopy X Liu, Z Li, M Ishii, GD Hager, RH Taylor, M Unberath The IEEE International Conference on Robotics and Automation (ICRA) 2022 …, 2022 | 22 | 2022 |
| 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 | 18 | 2019 |
| 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 …, 2018 | 17 | 2018 |
| 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 | 8* | 2021 |
| A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers M Gao, Cong and Feng, Anqi and Liu, Xingtong and Taylor, Russell H. and ... IEEE Transactions on Medical Imaging, 2023 | 7 | 2023 |
| 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 | 6 | 2019 |
| 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 | 5 | 2021 |
| 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 | 2 | 2017 |
| 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 | 2 | 2016 |
| 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 | 1 | 2019 |
| Towards Quantitative Endoscopy with Vision Intelligence X Liu Johns Hopkins University, 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 |
