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Neural Radiance Fields (NeRF), as a pioneering technique in computer vision, offer great potential to revolutionize medical imaging by synthesizing three-dimensional representations from the projected two-dimensional image data.
“Extraction of airways from ct (exact’09),”
Pechin Lo, Bram Van Ginneken, Joseph M Reinhardt, et al., · 2012
Earlier work this paper cites.
“The cancer imaging archive (tcia): Maintaining and operating a public information repository,”
K. Clark, B. Vendt, K. Smith, J. Freymann, et al., · 2013
Earlier work this paper cites.
“A combined experimental and computational approach to subject-specific analysis of knee joint laxity,”
Michael D. Harris, Adam J. Cyr, Azhar A. Ali, et al., · 2016
Earlier work this paper cites.
“Validation of predicted patellofemoral mechanics in a finite element model of the healthy and cruciate-deficient knee,”
Azhar A. Ali, Sami S. Shalhoub, Adam J. Cyr, et al., · 2016
Earlier work this paper cites.
“Deep-learning-assisted diagnosis for knee magnetic resonance imaging: development and retrospective validation of mrnet,”
Nicholas Bien, Pranav Rajpurkar, Robyn L Ball, Jeremy Irvin, Allison Park, Erik Jones, Michael Bereket, Bhavik N Patel, Kristen W Yeom, Katie Shpanskaya, et al., · 2018
Earlier work this paper cites.
“Perspective and orthogonal cbct/ct digitally reconstructed radiographs compared to conventional cephalograms,”
J Montúfar, Marcelo Romero, V Muñoz-Jiménez, Rogelio J Scougall-Vilchis, and Brissa Jiménez, · 2018
Earlier work this paper cites.
“X2ct-gan: reconstructing ct from biplanar x-rays with generative adversarial networks,”
Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zhengxin Weng, and Yefeng Zheng, · 2019
Earlier work this paper cites.
“Graf: Generative radiance fields for 3d-aware image synthesis,”
Katja Schwarz, Yiyi Liao, Michael Niemeyer, and Andreas Geiger, · 2020
Earlier work this paper cites.
“Nerf: Representing scenes as neural radiance fields for view synthesis,”
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng, · 2021
Earlier work this paper cites.
“Medical imaging data resource center (midrc) - rsna international covid open research database (ricord) release 1b - chest ct covid,”
E. B. Tsai, S. Lungren, M. P. Hershman, M. Roshkovan, L. Colak, et al., · 2021
Earlier work this paper cites.
“pixelnerf: Neural radiance fields from one or few images,”
Alex Yu, Vickie Ye, Matthew Tancik, and Angjoo Kanazawa, · 2021
Earlier work this paper cites.
“Giraffe: Representing scenes as compositional generative neural feature fields,”
Michael Niemeyer and Andreas Geiger, · 2021
Earlier work this paper cites.
“On the opportunities and risks of foundation models,”
Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al., · 2021
Earlier work this paper cites.
“Mednerf: Medical neural radiance fields for reconstructing 3d-aware ct-projections from a single x-ray,”
Abril Corona-Figueroa, Jonathan Frawley, et al., · 2022
Earlier work this paper cites.
“Snaf: Sparse-view cbct reconstruction with neural attenuation fields,”
Yu Fang, Lanzhuju Mei, Changjian Li, Yuan Liu, Wenping Wang, Zhiming Cui, and Dinggang Shen, · 2022
Earlier work this paper cites.
“Naf: neural attenuation fields for sparse-view cbct reconstruction,”
Ruyi Zha, Yanhao Zhang, and Hongdong Li, · 2022
Earlier work this paper cites.
“Neural rendering for stereo 3d reconstruction of deformable tissues in robotic surgery,”
Yuehao Wang, Yonghao Long, Siu Hin Fan, and Qi Dou, · 2022
Earlier work this paper cites.
“Reinforcement learning with neural radiance fields,”
Danny Driess, Ingmar Schubert, Pete Florence, Yunzhu Li, and Marc Toussaint, · 2022
Cited alongside, same era.
“Deep review and analysis of recent nerfs,”
Fang Zhu, Shuai Guo, Li Song, Ke Xu, Jiayu Hu, et al., · 2023
Cited alongside, same era.
“Beyondpixels: A comprehensive review of the evolution of neural radiance fields,”
AKM Rabby and Chengcui Zhang, · 2023
Cited alongside, same era.
“Oral-nexf: 3d oral reconstruction with neural x-ray field from panoramic imaging,”
Weinan Song, Haoxin Zheng, Jiawei Yang, Chengwen Liang, and Lei He, · 2023
Cited alongside, same era.
“Implicit neural representation in medical imaging: A comparative survey,”
Amirali Molaei, Amirhossein Aminimehr, Armin Tavakoli, Amirhossein Kazerouni, Bobby Azad, Reza Azad, and Dorit Merhof, · 2023
Cited alongside, same era.
“Umednerf: Uncertainty-aware single view volumetric rendering for medical neural radiance fields,”
Jing Hu, Qinrui Fan, Shu Hu, Siwei Lyu, Xi Wu, and Xin Wang, · 2024
Closest in time.
“Ultra-nerf: neural radiance fields for ultrasound imaging,”
Magdalena Wysocki, Mohammad Farid Azampour, Christine Eilers, Benjamin Busam, Mehrdad Salehi, and Nassir Navab, · 2024
Closest in time.
“Nerf-us: Removing ultrasound imaging artifacts from neural radiance fields in the wild,”
Rishit Dagli, Atsuhiro Hibi, Rahul G Krishnan, and Pascal N Tyrrell, · 2024
Closest in time.
“Efficient deformable tissue reconstruction via orthogonal neural plane,”
Chen Yang, Kailing Wang, Yuehao Wang, Qi Dou, Xiaokang Yang, and Wei Shen, · 2024
Closest in time.
“Acnerf: enhancement of neural radiance field by alignment and correction of pose to reconstruct new views from a single x-ray,”
Mengcheng Sun, Yu Zhu, Hangyu Li, Jiongyao Ye, and Nan Li, · 2024
Closest in time.
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“Structure-aware sparse-view x-ray 3d reconstruction,”
Yuanhao Cai, Jiahao Wang, Alan Yuille, Zongwei Zhou, and Angtian Wang, · 2023
Cited alongside, same era.
“3d reconstructions of brain from mri scans using neural radiance fields,”
Khadija Iddrisu, Sylwia Malec, and Alessandro Crimi, · 2023
Cited alongside, same era.
Chaochao Zhou, Syed Hasib Akhter Faruqui, Abhinav Patel, Ramez N Abdalla, Michael C Hurley, Ali Shaibani, Matthew B Potts, Babak S Jahromi, Leon Cho, Sameer A Ansari, et al., · 2023
Cited alongside, same era.
“Coronary catheterization — wikipedia, the free encyclopedia,” 2023
Wikipedia, · 2023
Cited alongside, same era.
“Nerf for 3d reconstruction from x-ray angiography: Possibilities and limitations,”
Kirsten WH Maas, Nicola Pezzotti, Amy JE Vermeer, Danny Ruijters, and Anna Vilanova, · 2023
Cited alongside, same era.
“Cunerf: Cube-based neural radiance field for zero-shot medical image arbitrary-scale super resolution,”
Zixuan Chen, Lingxiao Yang, Jian-Huang Lai, and Xiaohua Xie, · 2023
Cited alongside, same era.
“Perspective projection-based 3d ct reconstruction from biplanar x-rays,”
Daeun Kyung, Kyungmin Jo, Jaegul Choo, Joonseok Lee, and Edward Choi, · 2023
Cited alongside, same era.
Xin Wang and Hongtu Zhu, · 2024
Closest in time.
“Generative ai-assisted novel view synthesis of coronary arteries for angiography,”
Jay Kshirsagar, John McNulty, Bahareh Taji, Derek So, Aun-Yeong Chong, Pascal Theriault-Lauzier, AJ Wisniewski, and Shervin Shrimohammadi, · 2024
Closest in time.
“Geometry-aware attenuation learning for sparse-view cbct reconstruction,”
Zhentao Liu, Yu Fang, Changjian Li, Han Wu, Yuan Liu, Dinggang Shen, and Zhiming Cui, · 2024
Closest in time.
“Pa-nerf, a neural radiance field model for 3d photoacoustic tomography reconstruction from limited bscan data,”
Yun Zou, Yixiao Lin, and Quing Zhu, · 2024
Closest in time.
“3dpx: Single panoramic x-ray analysis guided by 3d oral structure reconstruction,”
Xiaoshuang Li, Zimo Huang, Mingyuan Meng, Eduardo Delamare, Dagan Feng, Lei Bi, Bin Sheng, Lingyong Jiang, Bo Li, and Jinman Kim, · 2024
Closest in time.
“Mednerf dataset,”
Link, · 2024
Closest in time.
“Nerfhub: A context-aware nerf serving framework for mobile immersive applications,”
Bo Chen, Zhisheng Yan, Bo Han, and Klara Nahrstedt, · 2024
Closest in time.
“Federated neural radiance field for distributed intelligence,”
Yintian Zhang and Ziyu Shao, · 2024
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“Radiative gaussian splatting for efficient x-ray novel view synthesis,”
Yuanhao Cai, Yixun Liang, Jiahao Wang, Angtian Wang, Yulun Zhang, Xiaokang Yang, Zongwei Zhou, and Alan Yuille, · 2024
Closest in time.
“Gaspct: Gaussian splatting for novel ct projection view synthesis,”
Emmanouil Nikolakakis, Utkarsh Gupta, Jonathan Vengosh, Justin Bui, and Razvan Marinescu, · 2024
Closest in time.
“Dwtnerf: Boosting few-shot neural radiance fields via discrete wavelet transform,”
Hung Nguyen, Blark Runfa Li, and Truong Nguyen, · 2025
Closest in time.
“Neural radiance fields for high-fidelity soft tissue reconstruction in endoscopy,”
Jinhua Liu, Yongsheng Shi, Dongjin Huang, and Jiantao Qu, · 2025
Closest in time.