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Paper Citation Record · LEDGER

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction

As of 19 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2506.17425.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.17425 v1

Coverage vector

measured 43 of 43 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation 9efc8edd-8a5f-4e52-8e56-cdea055f858f · outbound

This paper cites Algebraic reconstruction techniques (art) for three-dimensional electron microscopy and x-ray photography,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Algebraic reconstruction techniques (art) for three-dimensional electron microscopy and x-ray photography,

Reference 1

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Observation 7d1b3502-8efb-4840-8dc2-c9dcfda5ec5f · outbound

This paper cites Simultaneous algebraic reconstruction tech- nique (sart): A superior implementation of the art algorithm,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Simultaneous algebraic reconstruction tech- nique (sart): A superior implementation of the art algorithm,

Reference 2

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Observation 0df3217c-0356-4f3e-a7ca-f9241ac963d6 · outbound

This paper cites Convergence studies on iterative algorithms for image reconstruction,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Convergence studies on iterative algorithms for image reconstruction,

Reference 3

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Observation 6239cfee-ce41-4c3f-b35b-4642dee55ddd · outbound

This paper cites Nonlinear total variation based noise removal algorithms,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Nonlinear total variation based noise removal algorithms,

Reference 4

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Observation fe345dea-3c7b-4bad-bd32-78e80861390c · outbound

This paper cites Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization,

Reference 5

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Observation 5ac7b873-8a55-4c0d-b944-5499a7a46860 · outbound

This paper cites Learning deep intensity field for extremely sparse-view cbct reconstruction,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Learning deep intensity field for extremely sparse-view cbct reconstruction,

Reference 6

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Observation ed779dfb-c4a8-46e3-bc62-37b66d55020c · outbound

This paper cites Cˆ2rv: Cross- regional and cross-view learning for sparse-view cbct reconstruction,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Cˆ2rv: Cross- regional and cross-view learning for sparse-view cbct reconstruction,

Reference 7

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Observation d15ec0f1-665c-4d79-96e5-954a2f387373 · outbound

This paper cites Naf: neural attenuation fields for sparse- view cbct reconstruction,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Naf: neural attenuation fields for sparse- view cbct reconstruction,

Reference 8

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Observation b4f1ce38-da19-49ef-9006-0b775925bf8a · outbound

This paper cites R 2-gaussian: Rectifying radiative gaussian splatting for tomographic reconstruction,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction R 2-gaussian: Rectifying radiative gaussian splatting for tomographic reconstruction,

Reference 9

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Observation ea84dcb7-64a7-4278-9783-5b68c9cb50d2 · outbound

This paper cites Intensity Field Decomposition for Tissue-Guided Neural Tomography.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Intensity Field Decomposition for Tissue-Guided Neural Tomography

Reference 10

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Observation 175baa87-3350-485a-b036-b516761bf1bc · outbound

This paper cites SNAF: Sparse-view CBCT Reconstruction with Neural Attenuation Fields.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction SNAF: Sparse-view CBCT Reconstruction with Neural Attenuation Fields

Reference 11

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Observation 618ae3ec-88c2-4b1d-957e-61e7209501e7 · outbound

This paper cites Geometry- aware attenuation learning for sparse-view cbct reconstruction,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Geometry- aware attenuation learning for sparse-view cbct reconstruction,

Reference 12

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Observation f00b309c-2ff9-4706-9533-e1cba2df5a87 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction U-net: Convolutional networks for biomedical image segmentation,

Reference 13

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Observation 173a9d7b-9ab8-4f93-8441-d735006f7978 · outbound

This paper cites Deep residual learning for image recognition,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Deep residual learning for image recognition,

Reference 14

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Observation cc79e36a-04eb-450c-8038-c5babcc9e6ef · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 15

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Observation ea659719-10c9-40de-b55c-d54ba79c174d · outbound

This paper cites Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the luna16 challenge,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the luna16 challenge,

Reference 16

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Observation deec0b8f-bf7f-46aa-a70d-7e61202d0ce3 · outbound

This paper cites Deep segmentation of the mandibular canal: a new 3d annotated dataset of cbct volumes,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Deep segmentation of the mandibular canal: a new 3d annotated dataset of cbct volumes,

Reference 17

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Observation a5ec8af1-831e-4499-bdb6-b371773d63a3 · outbound

This paper cites Practical cone-beam algorithm,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Practical cone-beam algorithm,

Reference 18

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Observation ccfe668a-f454-4b35-9c01-603a33a85dae · outbound

This paper cites A tutorial on art (algebraic reconstruction techniques),.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction A tutorial on art (algebraic reconstruction techniques),

Reference 19

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Observation b2d2da16-da72-4b05-9652-c4d4db7cf307 · outbound

This paper cites Sparse-view cone-beam computed tomography iterative reconstruction based on new multi-gradient direction total variation,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Sparse-view cone-beam computed tomography iterative reconstruction based on new multi-gradient direction total variation,

Reference 20

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Observation 520127d7-4c6b-4c4c-a0ee-1ce4570b9688 · outbound

This paper cites Sparse-view cbct reconstruction via weighted schatten p-norm minimization,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Sparse-view cbct reconstruction via weighted schatten p-norm minimization,

Reference 21

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Observation 748656c6-10ab-4def-a098-c725ef6754fa · outbound

This paper cites Deep back projection for sparse-view ct reconstruction,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Deep back projection for sparse-view ct reconstruction,

Reference 22

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Observation efa2015e-e870-4bfe-9704-55ff75a52452 · outbound

This paper cites Deep con- volutional neural network for inverse problems in imaging,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Deep con- volutional neural network for inverse problems in imaging,

Reference 23

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Observation f0567fb9-e1a4-4611-8f79-b9e4dc9d5b34 · outbound

This paper cites pixelnerf: Neural radiance fields from one or few images,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction pixelnerf: Neural radiance fields from one or few images,

Reference 24

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Observation 8424cade-19e9-4f8a-ae05-41d3d75d51eb · outbound

This paper cites Nerp: implicit neural representation learning with prior embedding for sparsely sampled image reconstruc- 10 tion,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Nerp: implicit neural representation learning with prior embedding for sparsely sampled image reconstruc- 10 tion,

Reference 25

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Observation 4dd3a619-b42f-472d-925c-d0c8c8495d34 · outbound

This paper cites Learning 3d gaussians for extremely sparse-view cone-beam ct reconstruction,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Learning 3d gaussians for extremely sparse-view cone-beam ct reconstruction,

Reference 26

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Observation dc21af3e-f997-4a7f-b74d-8c2ea2417ee0 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 27

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This paper cites Tl-med: A two-stage transfer learning recognition model for medical images of covid-19,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Tl-med: A two-stage transfer learning recognition model for medical images of covid-19,

Reference 28

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Observation e6ff98b6-5fc6-4092-bbae-6f7e6e04daa2 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Imagenet: A large-scale hierarchical image database,

Reference 29

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Observation 1644e918-bcb6-4a62-a92e-e26dd215cbff · outbound

This paper cites Transmed: Transformers advance multi- modal medical image classification,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Transmed: Transformers advance multi- modal medical image classification,

Reference 30

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Observation 16e32d65-fc00-4cbd-bb82-fcb26989dd1a · outbound

This paper cites Vision transformers for classification of breast ultrasound images,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Vision transformers for classification of breast ultrasound images,

Reference 31

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Observation 32938cb7-ee3b-4dd5-b71a-67beaf422d37 · outbound

This paper cites Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images,

Reference 32

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Observation 4f5b9027-65c8-45df-a9ae-6d80151294c6 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 33

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Observation 478853d6-da0b-45f8-95ad-369a3f7a323d · outbound

This paper cites A robust volumetric transformer for accurate 3d tumor segmentation,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction A robust volumetric transformer for accurate 3d tumor segmentation,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T19:12:46.323053Z digest=sha256:c19eb7140ca97f894297b22f84dc757fb0eb111adb49cefaefb7efd9a8b4774e

Observation 0c11948b-5dc4-4739-8bad-bebc4594c47c · outbound

This paper cites D- former: A u-shaped dilated transformer for 3d medical image segmen- tation,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction D- former: A u-shaped dilated transformer for 3d medical image segmen- tation,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:12:46.857698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T19:12:46.329838Z digest=sha256:60c41f128554d410f9c4d3b80cb0d11b6b0b390a39d298f44e98cfd87c0ec333

Observation f72dcaf8-12c3-4059-922b-08caf4fe9350 · outbound

This paper cites Mbst-driven 4d-cbct reconstruction: Leveraging swin transformer and masking for robust performance,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Mbst-driven 4d-cbct reconstruction: Leveraging swin transformer and masking for robust performance,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:12:46.834509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T19:12:46.336108Z digest=sha256:bf9b65a62fd24309c165ff54f4e0589d8f0ca3ee305504c90fd5a29bac2e7eaa

Observation e5721bb2-0624-4646-beb4-a511a2c058d6 · outbound

This paper cites Wutrans: Whole-spectrum unilateral-query-secured transformer for 4d cbct reconstruction,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Wutrans: Whole-spectrum unilateral-query-secured transformer for 4d cbct reconstruction,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:12:46.810862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T19:12:46.345612Z digest=sha256:3f366d3b887199b025083ed1027f0e600e1a7a4defb94df407c7ee22a81c62bc

Observation d676ff56-028d-4952-abaf-023774a34f56 · outbound

This paper cites Cbctformer: Transformer model for sparse-view cbct artifact reduction in image- guided radiotherapy,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Cbctformer: Transformer model for sparse-view cbct artifact reduction in image- guided radiotherapy,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:12:46.791893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T19:12:46.352991Z digest=sha256:4aff94c0e8c9a96269c6e1176bc5faa3bbcbfdae0903ac01c928a1c755735efc

Observation 91eec6c5-0d67-429b-a289-137e15e43ce3 · outbound

This paper cites Removing ring artifacts in cbct images via transformer with unidirectional vertical gradient loss,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Removing ring artifacts in cbct images via transformer with unidirectional vertical gradient loss,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:12:46.771334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T19:12:46.359406Z digest=sha256:f83e4b138f5db797c72301d3f429e68f2d0789a3b146a8be8b3b3e585259a4d3

Observation 3f110050-de6a-4ffa-bb51-c19b83ef0d5f · outbound

This paper cites A transformer-based dual-domain network for reconstructing fov extended cone-beam ct images from truncated sinograms in radiation therapy,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction A transformer-based dual-domain network for reconstructing fov extended cone-beam ct images from truncated sinograms in radiation therapy,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:12:46.747938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T19:12:46.371115Z digest=sha256:a1517ec3060ea48905ce4407362b84ff07e4a126ee4793b7b08dcc6713544f6a

Observation 6b89b585-64ac-4350-9617-f21d1f4a9629 · outbound

This paper cites Freeseed: Frequency- band-aware and self-guided network for sparse-view ct reconstruc- tion,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Freeseed: Frequency- band-aware and self-guided network for sparse-view ct reconstruc- tion,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T19:12:46.725929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T19:12:46.377255Z digest=sha256:0a1cd005cf3bf34d6659d3bdfc147ff2242e4621cc50a21acc9fa5424fcbbc73

Observation 77220314-debd-40a5-b61d-7f13dde96831 · outbound

This paper cites Bbdm: Image-to-image trans- lation with brownian bridge diffusion models,.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Bbdm: Image-to-image trans- lation with brownian bridge diffusion models,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T19:12:46.384759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:12:46.384759Z digest=sha256:4bd909e2aacfa8de6a39e4e724a4862155919239259ac42cac1efebb54ed49cd

Observation 9955fa5a-c46c-4d79-9303-18b2044b4c49 · outbound

This paper cites Decoupled Weight Decay Regularization.

Trans${^2}$-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction Decoupled Weight Decay Regularization

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T19:12:46.392159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:12:46.392159Z digest=sha256:7228cb8e634193c8ac92c43569812073b5e9e59e6c61680501209f6dac009714

Pith citing papers

No inbound Pith citation observations are available.