SNAF: Sparse-view CBCT Reconstruction with Neural Attenuation Fields

Simultaneous algebraic reconstruction technique (sart): a superior implementation of the art algorithm

Anders H Andersen and Avinash C Kak · 1984

Earlier work this paper cites.

Practical cone-beam algorithm

Lee A Feldkamp, Lloyd C Davis, and James W Kress · 1984

Earlier work this paper cites.

Ordered-subset simultaneous algebraic reconstruction techniques (os-sart)

Ge Wang and Ming Jiang · 2004

Earlier work this paper cites.

Clinical applications of cone-beam computed tomography in dental practice

William C Scarfe, Allan G Farman, Predag Sukovic, et al · 2006

Earlier work this paper cites.

Accurate image reconstruction from few-views and limited-angle data in divergent-beam ct

Emil Y Sidky, Chien-Min Kao, and Xiaochuan Pan · 2006

Earlier work this paper cites.

Cine cone beam ct reconstruction using low-rank matrix factorization: algorithm and a proof-of-principle study

Jian-Feng Cai, Xun Jia, Hao Gao, Steve B Jiang, Zuowei Shen, and Hongkai Zhao · 2014

Earlier work this paper cites.

U-net: Convolutional networks for biomedical image segmentation

Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015

Earlier work this paper cites.

Attention is all you need

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017

Earlier work this paper cites.

Toothnet: automatic tooth instance segmentation and identification from cone beam ct images

Zhiming Cui, Changjian Li, and Wenping Wang · 2019

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Pose-aware instance segmentation framework from cone beam ct images for tooth segmentation

Minyoung Chung, Minkyung Lee, Jioh Hong, Sanguk Park, Jusang Lee, Jingyu Lee, Il-Hyung Yang, Jeongjin Lee, and Yeong-Gil Shin · 2020

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Transformers are rnns: Fast autoregressive transformers with linear attention

Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, and François Fleuret · 2020

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Neural sparse voxel fields

Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt · 2020

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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 · 2020

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pixelnerf: Neural radiance fields from one or few images

Alex Yu, Vickie Ye, Matthew Tancik, and Angjoo Kanazawa · 2021

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A fully automatic ai system for tooth and alveolar bone segmentation from cone-beam ct images

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Instant neural graphics primitives with a multiresolution hash encoding

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