Mildenhall B, Srinivasan PP, Tancik M, Barron JT, Ramamoorthi R, Ng R (2021) Nerf: representing scenes as neural radiance fields for view synthesis. Commun ACM 65(1):99–106
Schwarz Y, Greif J, Becker HD, Ernst A, Mehta A (2006) Real-time electromagnetic navigation bronchoscopy to peripheral lung lesions using overlaid CT images: the first human study. Chest 129(4):988–994
Gildea TR, Mazzone PJ, Karnak D, Meziane M, Mehta AC (2006) Electromagnetic navigation diagnostic bronchoscopy: a prospective study. Am J Respir Crit Care Med 174(9):982–989
Article PubMed PubMed Central Google Scholar
Luo X, Mori K (2013) Beyond current guided bronchoscopy: A robust and real-time bronchoscopic ultrasound navigation system. In: Medical Image computing and computer-assisted intervention–MICCAI 2013: 16th international conference, Nagoya, Japan, September 22–26, 2013, Proceedings, Part I 16, pp. 388–395. Springer
Sganga J, Eng D, Graetzel C, Camarillo DB (2019) Autonomous driving in the lung using deep learning for localization. arXiv preprint arXiv:1907.08136
Chien J-C, Lee J-D, Su E, Li S-H (2020) A bronchoscope localization method using an augmented reality co-display of real bronchoscopy images with a virtual 3d bronchial tree model. Sensors 20(23):6997
Article PubMed PubMed Central Google Scholar
Gu Y, Gu C, Yang J, Sun J, Yang G-Z (2022) Vision-kinematics interaction for robotic-assisted bronchoscopy navigation. IEEE Trans Med Imaging 41(12):3600–3610. https://doi.org/10.1109/TMI.2022.3191317
Zhao C, Shen M, Sun L, Yang G-Z (2019) Generative localization with uncertainty estimation through video-ct data for bronchoscopic biopsy. IEEE Robot Autom Lett 5(1):258–265
Banach A, King F, Masaki F, Tsukada H, Hata N (2021) Visually navigated bronchoscopy using three cycle-consistent generative adversarial network for depth estimation. Med Image Anal 73:102164
Article PubMed PubMed Central Google Scholar
Wang C, Oda M, Hayashi Y, Kitasaka T, Itoh H, Honma H, Takebatake H, Mori M, Natori H, Mori K (2023) Anatomy aware-based 2.5 d bronchoscope tracking for image-guided bronchoscopic navigation. Comput Methods Biomech Biomed Eng Imaging Vis 11(4):1122–1129
Fried I, Hoelscher J, Akulian JA, Pizer S, Alterovitz R (2023) Landmark based bronchoscope localization for needle insertion under respiratory deformation. In: 2023 IEEE/RSJ international conference on intelligent robots and systems (IROS), pp 6593–6600. IEEE
Deguchi D, Mori K, Feuerstein M, Kitasaka T, Maurer CR Jr, Suenaga Y, Takabatake H, Mori M, Natori H (2009) Selective image similarity measure for bronchoscope tracking based on image registration. Med Image Anal 13(4):621–633
Merritt SA, Khare R, Bascom R, Higgins WE (2013) Interactive CT-video registration for the continuous guidance of bronchoscopy. IEEE Trans Med Imaging 32(8):1376–1396
Article PubMed PubMed Central Google Scholar
Fielding DI, Bashirzadeh F, Son JH, Todman M, Chin A, Tan L, Steinke K, Windsor MN, Sung AW (2019) First human use of a new robotic-assisted fiber optic sensing navigation system for small peripheral pulmonary nodules. Respiration 98(2):142–150
Rojas-Solano JR, Ugalde-Gamboa L, Machuzak M (2018) Robotic bronchoscopy for diagnosis of suspected lung cancer: a feasibility study. J Bronchol Intervent Pulmonol 25(3):168–175
Ghosh S, Patel S (2023) Robotic bronchoscopy for diagnosis of lung nodules using the ion system: a narrative review of the technical aspects and advantages over standard flexible bronchoscopy with electromagnetic navigation. J Vis Surg 9
Ma R, Wang R, Pizer S, Rosenman J, McGill SK, Frahm J-M (2019) Real-time 3d reconstruction of colonoscopic surfaces for determining missing regions. In: Medical image computing and computer assisted intervention–MICCAI 2019: 22nd international conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part V 22, pp 573–582. Springer
Wang C, Oda M, Hayashi Y, Villard B, Kitasaka T, Takabatake H, Mori M, Honma H, Natori H, Mori K (2020) A visual slam-based bronchoscope tracking scheme for bronchoscopic navigation. Int J Comput Assist Radiol Surg 15:1619–1630
Recasens D, Lamarca J, Fácil JM, Montiel JMM, Civera J (2021) Endo-depth-and-motion: Reconstruction and tracking in endoscopic videos using depth networks and photometric constraints. IEEE Robot Autom Lett 6(4):7225–7232. https://doi.org/10.1109/LRA.2021.3095528
Gómez-Rodríguez JJ, Lamarca J, Morlana J, Tardós JD, Montiel JMM (2021) Sd-defslam: semi-direct monocular slam for deformable and intracorporeal scenes. In: 2021 IEEE international conference on robotics and automation (ICRA), pp 5170–5177. https://doi.org/10.1109/ICRA48506.2021.9561512
Rodríguez JJG, Montiel JM, Tardós JD (2022) 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
Chabra R, Lenssen JE, Ilg E, Schmidt T, Straub J, Lovegrove S, Newcombe R (2020) Deep local shapes: learning local sdf priors for detailed 3d reconstruction. In: Computer vision–ECCV 2020: 16th European conference, Glasgow, UK, August 23–28, 2020, proceedings, Part XXIX 16, pp 608–625. Springer
Sitzmann V, Chan E, Tucker R, Snavely N, Wetzstein G (2020) Metasdf: meta-learning signed distance functions. Adv Neural Inf Process Syst 33:10136–10147
Rabby A, Zhang C (2023) Beyondpixels: a comprehensive review of the evolution of neural radiance fields. arXiv preprint arXiv:2306.03000
Chen Z, Yang L, Lai J-H, Xie X (2023) Cunerf: cube-based neural radiance field for zero-shot medical image arbitrary-scale super resolution. In: Proceedings of the IEEE/CVF international conference on computer vision, pp 21185–21195
Corona-Figueroa A, Frawley J, Bond-Taylor S, Bethapudi S, Shum HP, Willcocks CG (2022) Mednerf: medical neural radiance fields for reconstructing 3d-aware ct-projections from a single x-ray. In: 2022 44th Annual international conference of the IEEE engineering in medicine & biology society (EMBC), pp 3843–3848. IEEE
Wang Y, Long Y, Fan SH, Dou Q (2022) 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
Kajiya JT, Von Herzen BP (1984) Ray tracing volume densities. ACM SIGGRAPH Comput Graph 18(3):165–174
Müller T, Evans A, Schied C, Keller A (2022) Instant neural graphics primitives with a multiresolution hash encoding. ACM Trans Graph (ToG) 41(4):1–15
Lo P, Van Ginneken B, Reinhardt JM, Yavarna T, De Jong PA, Irving B, Fetita C, Ortner M, Pinho R, Sijbers J et al (2012) Extraction of airways from CT (exact’09). IEEE Trans Med Imaging 31(11):2093–2107
Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin J-C, Pujol S, Bauer C, Jennings D, Fennessy F, Sonka M et al (2012) 3d slicer as an image computing platform for the quantitative imaging network. Magn Reson Imaging 30(9):1323–1341
Article PubMed PubMed Central Google Scholar
Au OK-C, Tai C-L, Chu H-K, Cohen-Or D, Lee T-Y (2008) Skeleton extraction by mesh contraction. ACM Trans Graph (TOG) 27(3):1–10
Sahu M, Strömsdörfer R, Mukhopadhyay A, Zachow S (2020) Endo-sim2real: consistency learning-based domain adaptation for instrument segmentation. In: International conference on medical image computing and computer-assisted intervention, pp 784–794. Springer
Tumanyan N, Bar-Tal O, Bagon S, Dekel T (2022) Splicing vit features for semantic appearance transfer. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 10748–10757
Anderson DG (1965) Iterative procedures for nonlinear integral equations. J ACM (JACM) 12(4):547–560
Walker HF, Ni P (2011) Anderson acceleration for fixed-point iterations. SIAM J Numer Anal 49(4):1715–1735
Schonberger JL, Frahm J-M (2016) Structure-from-motion revisited. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 4104–4113
Schönberger JL, Frahm J-M (2016) Structure-from-motion revisited. In: Conference on computer vision and pattern recognition (CVPR)
Engel J, Koltun V, Cremers D (2017) Direct sparse odometry. IEEE Trans Pattern Anal Mach Intell 40(3):611–625
Shen M, Gu Y, Liu N, Yang G-Z (2019) Context-aware depth and pose estimation for bronchoscopic navigation. IEEE Robot Autom Lett 4(2):732–739
Qian K, Krimsky WS, Sarkar SA, Deng Y (2020) Efficiency of electromagnetic navigation bronchoscopy and virtual bronchoscopic navigation. Ann Thorac Surg 109(6):1731–1740
Nakao M, Kobayashi K, Tokuno J, Chen-Yoshikawa T, Date H, Matsuda T (2021) Deformation analysis of surface and bronchial structures in intraoperative pneumothorax using deformable mesh registration. Med Image Anal 73:102181
Zhang C, Yu Z, Zhao S (2021) Path-space differentiable rendering of participating media. ACM Trans Graph (TOG) 40(4):1–15
Comments (0)