no code implementations • 12 Mar 2021 • Haoyin Zhou, Jagadeesan Jayender
The ability to extend the field of view of laparoscopy images can help the surgeons to obtain a better understanding of the anatomical context.
no code implementations • 15 Sep 2020 • Zhe Xu, Jie Luo, Jiangpeng Yan, Xiu Li, Jagadeesan Jayender
In this paper, we propose a novel unsupervised registration network, namely the Full-Resolution Residual Registration Network (F3RNet), for deformable registration of severely deformed organs.
no code implementations • 16 Jul 2020 • Haoyin Zhou, Tao Zhang, Jagadeesan Jayender
We propose a fast PnP solution named R1PPnP to handle outliers by utilizing a soft re-weighting mechanism and the 1-point RANSAC scheme.
no code implementations • 16 Jul 2020 • Haoyin Zhou, Jagadeesan Jayender
Since the tissue models obtained by stereo matching are limited to the field of view of the imaging modality, we propose a model mosaicking method by using a novel feature-based simultaneously localization and mapping (SLAM) method to align the models.
no code implementations • 16 Jul 2020 • Haoyin Zhou, Jagadeesan Jayender
To solve this problem, we first propose an algorithm based on the re-weighting and 1-point RANSAC strategy (R1P-RNSC), which is a parametric method under a reasonable assumption that the non-rigid deformation can be approximately represented by multiple locally rigid transformations.
no code implementations • 16 Jul 2020 • Haoyin Zhou, Jagadeesan Jayender
In this paper, we propose an approach to estimate the deformation of tissue surface from stereo videos in real-time, which is capable of handling occlusion, smooth surface and fast deformation.
no code implementations • 24 Jul 2019 • Duo Wang, Ming Li, Nir Ben-Shlomo, C. Eduardo Corrales, Yu Cheng, Tao Zhang, Jagadeesan Jayender
The model is trained jointly in a multi-task learning setting.