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Intraoperative imaging techniques for reconstructing deformable tissues in vivo are pivotal for advanced surgical systems.
Virtual reality in surgical training
Tim Lange, Daniel J. Indelicato, and Joseph M. Rosen · 2000
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Comparative validation of single-shot optical techniques for laparoscopic 3-d surface reconstruction
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Dynamic reconstruction of deformable soft-tissue with stereo scope in minimal invasive surgery
J. Song, J. Wang, L. Zhao, S. Huang, and G. Dissanayake · 2017
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N. Mahmoud, T. Collins, A. Hostettler, L. Soler, C. Doignon, and J. M. Martinez Montiel · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
R. Zhang, P. Isola, A. A. Efros, E. Shechtman, and O. Wang · 2018
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Surfelwarp: Efficient non-volumetric single view dynamic reconstruction, 2019
Wei Gao and Russ Tedrake · 2019
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Neural importance sampling
T. Müller, B. McWilliams, F. Rousselle, M. Gross, and J. Novák · 2019
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Three-dimensional digital reconstruction of renal model to guide preoperative planning of robot-assisted partial nephrectomy
Riccardo Schiavina, Lorenzo Bianchi, Marco Borghesi, Francesco Chessa, Laura Cercenelli, Emanuela Marcelli, and Eugenio Brunocilla · 2019
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Real-time dense reconstruction of tissue surface from stereo optical video
H. Zhou and J. Jagadeesan · 2019
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Flip: A difference evaluator for alternating images
P. Andersson, J. Nilsson, T. Akenine-Möller, M. Oskarsson, K. Åström, and M. D. Fairchild · 2020
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The impact of 3d digital reconstruction on the surgical planning of partial nephrectomy: A case-control study. still time for a novel surgical trend?
Lorenzo Bianchi, Umberto Barbaresi, Laura Cercenelli, Barbara Bortolani, Caterina Gaudiano, Francesco Chessa, Andrea Angiolini, Simone Lodi, Angelo Porreca, Federico Mineo Bianchi, Carlo Casablanca, Amelio Ercolino, Alessandro Bertaccini, Rita Golfieri, Emanuela Marcelli, and Riccardo Schiavina · 2020
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Super: A surgical perception framework for endoscopic tissue manipulation with surgical robotics
Y. Li, F. Richter, J. Lu, E. K. Funk, R. K. Orosco, J. Zhu, and M. C. Yip · 2020
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Neural radiance flow for 4d view synthesis and video processing
Y. Du, Y. Zhang, H. Yu, J. B. Tenenbaum, and J. Wu · 2021
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3d ultrasound spine imaging with application of neural radiance field method
H. Li, H. Chen, W. Jing, Y. Li, and R. Zheng · 2021
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Neural scene flow fields for space-time view synthesis of dynamic scenes
Z. Li, S. Niklaus, N. Snavely, and O. Wang · 2021
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E-dssr: efficient dynamic surgical scene reconstruction with transformer-based stereoscopic depth perception
Y. Long, Z. Li, C. H. Yee, C. F. Ng, R. H. Taylor, M. Unberath, and Q. Dou · 2021
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Nerf: Representing scenes as neural radiance fields for view synthesis
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Nerfies: Deformable neural radiance fields
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D-nerf: Neural radiance fields for dynamic scenes
A. Pumarola, E. Corona, G. Pons-Moll, and F. Moreno-Noguer · 2021
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Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs
M. Niemeyer, J. T. Barron, B. Mildenhall, M. S. Sajjadi, A. Geiger, and N. Radwan · 2022
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Deep implicit statistical shape models for 3d medical image delineation
A. Raju, S. Miao, D. Jin, L. Lu, J. Huang, and A. P. Harrison · 2022
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Neat: Neural adaptive tomography
D. Rückert, Y. Wang, R. Li, R. Idoughi, and W. Heidrich · 2022
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Fast graph refinement and implicit neural representation for tissue tracking
Adam Schmidt, Omid Mohareri, Simon DiMaio, and Septimiu E Salcudean · 2022
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Recurrent implicit neural graph for deformable tracking in endoscopic videos
Adam Schmidt, Omid Mohareri, Simon DiMaio, and Septimiu E Salcudean · 2022
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Neural rendering for stereo 3d reconstruction of deformable tissues in robotic surgery
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D. Recasens, J. Lamarca, J. M. Fácil, J. M. M. Montiel, and J. Civera · 2021
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Dynamic ct reconstruction from limited views with implicit neural representations and parametric motion fields, 2021
Albert W. Reed, Hyojin Kim, Rushil Anirudh, K. Aditya Mohan, Kyle Champley, Jingu Kang, and Suren Jayasuriya · 2021
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Coil: Coordinate-based internal learning for tomographic imaging
Y. Sun, J. Liu, M. Xie, B. Wohlberg, and U. S. Kamilov · 2021
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Emdq-slam: Real-time high-resolution reconstruction of soft tissue surface from stereo laparoscopy videos
H. Zhou and J. Jagadeesan · 2021
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Tensorf: Tensorial radiance fields
A. Chen, Z. Xu, A. Geiger, J. Yu, and H. Su · 2022
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Mednerf: Medical neural radiance fields for reconstructing 3d-aware ct-projections from a single x-ray
A. Corona-Figueroa, J. Frawley, S. Bond-Taylor, S. Bethapudi, H. PH Shum, and C. G. Willcocks · 2022
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Fast dynamic radiance fields with time-aware neural voxels
J. Fang, T. Yi, X. Wang, L. Xie, X. Zhang, W. Liu, M. Nießner, and Q. Tian · 2022
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Y. Wang, Y. Long, S. H. Fan, and Q. Dou · 2022
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Neural fields in visual computing and beyond
Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, and Srinath Sridhar · 2022
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Implicitatlas: learning deformable shape templates in medical imaging
J. Yang, U. Wickramasinghe, B. Ni, and P. Fua · 2022
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Zoedepth: Zero-shot transfer by combining relative and metric depth
S. F. Bhat, R. Birkl, D. Wofk, P. Wonka, and M. Müller · 2023
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Hexplane: A fast representation for dynamic scenes
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S. Fridovich-Keil, G. Meanti, F. R. Warburg, B. Recht, and A. Kanazawa · 2023
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A. Kirillov, E. Mintun, N. Ravi, H. Mao, C. Rolland, L. Gustafson, T. Xiao, S. Whitehead, A. C. Berg, W. Lo, et al · 2023
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Implicit neural representation in medical imaging: A comparative survey
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Tracking and mapping in medical computer vision: A review, 2023
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Nesvor: Implicit neural representation for slice-to-volume reconstruction in mri
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Nerfvs: Neural radiance fields for free view synthesis via geometry scaffolds
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Neural lerplane representations for fast 4d reconstruction of deformable tissues
C. Yang, K. Wang, Y. Wang, X. Yang, and W. Shen · 2023
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Tiavox: Time-aware attenuation voxels for sparse-view 4d dsa reconstruction, 2023
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