Fetching the paper…
Reading the bibliography…
3D reconstruction of biological tissues from a collection of endoscopic images is a key to unlock various important downstream surgical applications with 3D capabilities.
Biederman, I.: Perceiving real-world scenes. Science 177
1972
Earlier work this paper cites.
Duncan, J.S., Ayache, N.: Medical image analysis: Progress over two decades and the challenges ahead. IEEE transactions on pattern analysis and machine intelligence 22
2000
Earlier work this paper cites.
Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. arXiv:1412.6980 (2014)
2014
Earlier work this paper cites.
2015
Earlier work this paper cites.
Song, J., Wang, J., Zhao, L., Huang, S., Dissanayake, G.: Dynamic reconstruction of deformable soft-tissue with stereo scope in minimal invasive surgery. IEEE Robotics and Automation Letters 3
2017
Earlier work this paper cites.
Chen, L., Tang, W., John, N.W., Wan, T.R., Zhang, J.J.: Slam-based dense surface reconstruction in monocular minimally invasive surgery and its application to augmented reality. Computer methods and programs in biomedicine 158
2018
Earlier work this paper cites.
Zhou, H., Jagadeesan, J.: Real-time dense reconstruction of tissue surface from stereo optical video. IEEE transactions on medical imaging 39
2019
Earlier work this paper cites.
Li, Y., Richter, F., Lu, J., Funk, E.K., Orosco, R.K., Zhu, J., Yip, M.C.: Super: A surgical perception framework for endoscopic tissue manipulation with surgical robotics. IEEE Robotics and Automation Letters 5
2020
Earlier work this paper cites.
2021
Earlier work this paper cites.
Barron, J.T., Mildenhall, B., Tancik, M., Hedman, P., Martin-Brualla, R., Srinivasan, P.P.: Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields. ICCV (2021)
2021
Earlier work this paper cites.
Brandao, P., Psychogyios, D., Mazomenos, E., Stoyanov, D., Janatka, M.: Hapnet: hierarchically aggregated pyramid network for real-time stereo matching. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 9
2021
Earlier work this paper cites.
Caron, M., Touvron, H., Misra, I., Jégou, H., Mairal, J., Bojanowski, P., Joulin, A.: Emerging properties in self-supervised vision transformers. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
2021
Earlier work this paper cites.
2021
Earlier work this paper cites.
Li, C., Zhang, Y., Liang, Z., Ma, W., Huang, Y., Ding, X.: Consistent posterior distributions under vessel-mixing: a regularization for cross-domain retinal artery/vein classification. In: 2021 IEEE International Conference on Image Processing (ICIP). pp. 61–65. IEEE (2021)
2021
Earlier work this paper cites.
Liang, Z., Rong, Y., Li, C., Zhang, Y., Huang, Y., Xu, T., Ding, X., Huang, J.: Unsupervised large-scale social network alignment via cross network embedding. In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management. pp. 1008–1017 (2021)
2021
Earlier work this paper cites.
Liu, X., Guo, X., Liu, Y., Yuan, Y.: Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images. Medical image analysis 71
2021
Earlier work this paper cites.
Long, Y., Li, Z., Yee, C.H., Ng, C.F., Taylor, R.H., Unberath, M., Dou, Q.: E-dssr: efficient dynamic surgical scene reconstruction with transformer-based stereoscopic depth perception. In: MICCAI. pp. 415–425. Springer (2021)
2021
Earlier work this paper cites.
Mildenhall, B., Srinivasan, P.P., Tancik, M., Barron, J.T., Ramamoorthi, R., Ng, R.: Nerf: Representing scenes as neural radiance fields for view synthesis. Communications of the ACM 65
2021
Earlier work this paper cites.
Ramesh, A., Pavlov, M., Goh, G., Gray, S., Voss, C., Radford, A., Chen, M., Sutskever, I.: Zero-shot text-to-image generation. In: Meila, M., Zhang, T. (eds.) Proceedings of the 38th International Conference on Machine Learning. Proceedings of Machine Learning Research, vol. 139, pp. 8821–8831. PMLR (18–24 Jul 2021), https://proceedings.mlr.press/v139/ramesh21a.html
2021
Earlier work this paper cites.
Wei, G., Yang, H., Shi, W., Jiang, Z., Chen, T., Wang, Y.: Laparoscopic scene reconstruction based on multiscale feature patch tracking method. In: 2021 International Conference on Electronic Information Engineering and Computer Science (EIECS). pp. 588–592. IEEE (2021)
2021
Earlier work this paper cites.
2021
Earlier work this paper cites.
Wuyang, L., Chen, Y., Jie, L., Xinyu, L., Xiaoqing, G., Yixuan, Y.: Joint polyp detection and segmentation with heterogeneous endoscopic data. In: 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021): co-located with with the 17th IEEE International Symposium on Biomedical Imaging (ISBI 2021). pp. 69–79. CEUR-WS Team (2021)
2021
Earlier work this paper cites.
Zhang, Y., Li, C., Lin, X., Sun, L., Zhuang, Y., Huang, Y., Ding, X., Liu, X., Yu, Y.: Generator versus segmentor: Pseudo-healthy synthesis. In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part VI 24. pp. 150–160. Springer International Publishing (2021)
2021
Cited alongside, same era.
Ding, Z., Dong, Q., Xu, H., Li, C., Ding, X., Huang, Y.: Unsupervised anomaly segmentation for brain lesions using dual semantic-manifold reconstruction. In: International Conference on Neural Information Processing. pp. 133–144. Springer (2022)
2022
Cited alongside, same era.
Li, C., Lin, M., Ding, Z., Lin, N., Zhuang, Y., Huang, Y., Ding, X., Cao, L.: Knowledge condensation distillation. In: European Conference on Computer Vision. pp. 19–35. Springer Nature Switzerland Cham (2022)
2022
Cited alongside, same era.
2023
Later among the works it cites.
Liu, Y., Li, W., Liu, J., Chen, H., Yuan, Y.: Grab-net: Graph-based boundary-aware network for medical point cloud segmentation. IEEE Transactions on Medical Imaging (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2022
Cited alongside, same era.
Li, C., Ma, W., Sun, L., Ding, X., Huang, Y., Wang, G., Yu, Y.: Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation. Neural Computing and Applications pp. 1–14 (2022)
2022
Cited alongside, same era.
Li, W., Liu, X., Yuan, Y.: Sigma: Semantic-complete graph matching for domain adaptive object detection. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5291–5300 (2022)
2022
Cited alongside, same era.
Liu, X., Li, W., Yuan, Y.: Intervention & interaction federated abnormality detection with noisy clients. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 309–319. Springer (2022)
2022
Cited alongside, same era.
Luo, H., Wang, C., Duan, X., Liu, H., Wang, P., Hu, Q., Jia, F.: Unsupervised learning of depth estimation from imperfect rectified stereo laparoscopic images. Computers in biology and medicine 140
2022
Cited alongside, same era.
2022
Cited alongside, same era.
Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 10684–10695 (2022)
2022
Cited alongside, same era.
Sun, L., Li, C., Ding, X., Huang, Y., Chen, Z., Wang, G., Yu, Y., Paisley, J.: Few-shot medical image segmentation using a global correlation network with discriminative embedding. Computers in biology and medicine 140
2022
Cited alongside, same era.
Wang, Y., Long, Y., Fan, S.H., Dou, Q.: Neural rendering for stereo 3d reconstruction of deformable tissues in robotic surgery. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 431–441. Springer (2022)
2022
Cited alongside, same era.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
Yang, Q., Li, W., Li, B., Yuan, Y.: Mrm: Masked relation modeling for medical image pre-training with genetics. In: Proc. ICCV. pp. 21452–21462 (2023)
2023
Later among the works it cites.
Zha, R., Cheng, X., Li, H., Harandi, M., Ge, Z.: Endosurf: Neural surface reconstruction of deformable tissues with stereo endoscope videos. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 13–23. Springer (2023)
2023
Later among the works it cites.
Zhang, R., Hu, X., Li, B., Huang, S., Deng, H., Qiao, Y., Gao, P., Li, H.: Prompt, generate, then cache: Cascade of foundation models makes strong few-shot learners. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 15211–15222 (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
2024
Closest in time.
2024
Closest in time.
2024
Closest in time.
2024
Closest in time.
2024
Closest in time.
Liu, X., Li, W., Yamaguchi, T., Geng, Z., Tanaka, T., Tsai, D.P., Chen, M.K.: Stereo vision meta-lens-assisted driving vision. ACS Photonics (2024)
2024
Closest in time.
2024
Closest in time.
Xu, H., Li, C., Zhang, L., Ding, Z., Lu, T., Hu, H.: Immunotherapy efficacy prediction through a feature re-calibrated 2.5 d neural network. Computer Methods and Programs in Biomedicine 249
2024
Closest in time.
2024
Closest in time.
2024
Closest in time.