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The advent of 3D Gaussian Splatting (3D-GS) techniques and their dynamic scene modeling variants, 4D-GS, offers promising prospects for real-time rendering of dynamic surgical scenarios.
2015
Earlier work this paper cites.
Mahmoud, N., Cirauqui, I., Hostettler, A., Doignon, C., Soler, L., Marescaux, J., Montiel, J.M.M.: Orbslam-based endoscope tracking and 3d reconstruction. In: Computer-Assisted and Robotic Endoscopy: Third International Workshop, CARE 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers 3. pp. 72–83. Springer (2017)
2017
Earlier work this paper cites.
Penza, V., De Momi, E., Enayati, N., Chupin, T., Ortiz, J., Mattos, L.S.: Envisors: Enhanced vision system for robotic surgery. a user-defined safety volume tracking to minimize the risk of intraoperative bleeding. Frontiers in Robotics and AI 4
2017
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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
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Tang, R., Ma, L.F., Rong, Z.X., Li, M.D., Zeng, J.P., Wang, X.D., Liao, H.E., Dong, J.H.: Augmented reality technology for preoperative planning and intraoperative navigation during hepatobiliary surgery: a review of current methods. Hepatobiliary & Pancreatic Diseases International 17
2018
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Gao, W., Tedrake, R.: Surfelwarp: Efficient non-volumetric single view dynamic reconstruction. In: Robotics: Science and Systems XIV (2019)
2019
Earlier work this paper cites.
Yifan, W., Serena, F., Wu, S., Öztireli, C., Sorkine-Hornung, O.: Differentiable surface splatting for point-based geometry processing. ACM Transactions on Graphics (TOG) 38
2019
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Yu, W., Chen, H., Wang, L.: Dense attentional network for pancreas segmentation in abdominal ct scans. In: Proceedings of the 2nd International Conference on Artificial Intelligence and Pattern Recognition. pp. 83–87 (2019)
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. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 5855–5864 (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.
2021
Earlier work this paper cites.
Li, W., Chen, Z., Li, B., Zhang, D., Yuan, Y.: Htd: Heterogeneous task decoupling for two-stage object detection. IEEE Transactions on Image Processing 30
2021
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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
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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
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Lu, J., Jayakumari, A., Richter, F., Li, Y., Yip, M.C.: Super deep: A surgical perception framework for robotic tissue manipulation using deep learning for feature extraction. In: ICRA. pp. 4783–4789. IEEE (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
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Peng, J., Sun, W., Li, H.C., Li, W., Meng, X., Ge, C., Du, Q.: Low-rank and sparse representation for hyperspectral image processing: A review. IEEE Geoscience and Remote Sensing Magazine 10
2021
Cited alongside, same era.
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.
Zhou, H., Jayender, J.: Emdq-slam: Real-time high-resolution reconstruction of soft tissue surface from stereo laparoscopy videos. In: MICCAI. pp. 331–340. Springer (2021)
2021
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)
2023
Later among the works it cites.
Li, C., Feng, B.Y., Fan, Z., Pan, P., Wang, Z.: Steganerf: Embedding invisible information within neural radiance fields. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 441–453 (2023)
2023
Later among the works it cites.
Li, W., Guo, X., Yuan, Y.: Novel scenes & classes: Towards adaptive open-set object detection. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 15780–15790 (2023)
2023
Later among the works it cites.
Liu, X., Peng, H., Zheng, N., Yang, Y., Hu, H., Yuan, Y.: Efficientvit: Memory efficient vision transformer with cascaded group attention. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 14420–14430 (2023)
2023
Later among the works it cites.
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2022
Cited alongside, same era.
Li, W., Liu, X., Yao, X., Yuan, Y.: Scan: Cross domain object detection with semantic conditioned adaptation. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol. 36, pp. 1421–1428 (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.
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.
Rodríguez, J.J.G., Montiel, J.M., Tardós, J.D.: Tracking monocular camera pose and deformation for slam inside the human body. In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). pp. 5278–5285. IEEE (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.
2022
Cited alongside, same era.
Yu, W., Zheng, H., Gu, Y., Xie, F., Yang, J., Sun, J., Yang, G.Z.: Tnn: Tree neural network for airway anatomical labeling. IEEE Transactions on Medical Imaging 42
2022
Cited alongside, same era.
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.
Sherif, Y.A., Adam, M.A., Imana, A., Erdene, S., Davis, R.W.: Remote robotic surgery and virtual education platforms: How advanced surgical technologies can increase access to surgical care in resource-limited settings. In: Seminars in Plastic Surgery. Thieme Medical Publishers, Inc. (2023)
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: Proceedings of the IEEE/CVF International Conference on Computer Vision. 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.
Ali, S., Ghatwary, N., Jha, D., Isik-Polat, E., Polat, G., Yang, C., Li, W., Galdran, A., Ballester, M.Á.G., Thambawita, V., et al.: Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. Scientific Reports 14
2024
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2024
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2024
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2024
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2024
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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.