Paper Citation Record · LEDGER

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction

As of 12 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2501.01456.

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

pith.paper-citation-record.v1
2501.01456 v1

Coverage vector

measured 36 of 36 reference resolution

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measured 36 of 36 standing notices

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

36 of 36 outbound references displayed

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External citation measurements

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Outbound references

Observation 6ed6e230-2b2c-4648-8f0c-72727fe8d346 · outbound

This paper cites Computed tomography–an increasing source of radiation exposure,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Computed tomography–an increasing source of radiation exposure,

Reference 1

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Observation fb11a4cc-3512-4b20-aa94-bac51355a47c · outbound

This paper cites Deep convolutional framelet denosing for low-dose CT via wavelet residual network,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Deep convolutional framelet denosing for low-dose CT via wavelet residual network,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.609698Z

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Observation 75d924ac-7731-4889-a8c5-cf6958c0386a · outbound

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

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Deep con- volutional neural network for inverse problems in imaging,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.593644Z

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Observation 9164319d-5499-4781-8862-2d8650851fe1 · outbound

This paper cites Sam’s net: a self-augmented multistage deep-learning network for end-to-end recon- struction of limited angle CT,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Sam’s net: a self-augmented multistage deep-learning network for end-to-end recon- struction of limited angle CT,

Reference 4

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Observation 855555d1-2814-421d-83c7-963262457d49 · outbound

This paper cites Semi-supervised learned sinogram restoration network for low-dose CT image reconstruction,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Semi-supervised learned sinogram restoration network for low-dose CT image reconstruction,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.558638Z

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Observation 867d3eee-b250-40b7-bfe4-b06eb7a7a895 · outbound

This paper cites Noise characteristics modeled unsupervised network for robust CT image reconstruction,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Noise characteristics modeled unsupervised network for robust CT image reconstruction,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.542930Z

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Observation a31157ff-85d0-44c0-9038-98de94ad1d42 · outbound

This paper cites IntraTomo: self-supervised learning-based tomography via sinogram synthesis and prediction,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction IntraTomo: self-supervised learning-based tomography via sinogram synthesis and prediction,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.525685Z

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Observation 36a8ea9b-c5f6-4b27-ab5e-3e712814c2ee · outbound

This paper cites Noise2Noise: Learning Image Restoration without Clean Data.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Noise2Noise: Learning Image Restoration without Clean Data

Reference 8

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Observation 8a7df5ca-6a3e-47b3-b3cd-24dba5d64c29 · outbound

This paper cites Neighbor2neighbor: Self- supervised denoising from single noisy images,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Neighbor2neighbor: Self- supervised denoising from single noisy images,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.508459Z

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Observation f6cabe1a-4177-4030-8234-a7e2a0c1bb4f · outbound

This paper cites Noise2self: Blind denoising by self- supervision,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Noise2self: Blind denoising by self- supervision,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.492567Z

Source-reported events for the cited work

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Observation a979cd16-0d9f-405a-91af-d440dc15c289 · outbound

This paper cites Noise2inverse: Self-supervised deep convolutional denoising for tomography,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Noise2inverse: Self-supervised deep convolutional denoising for tomography,

Reference 11

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Observation 5add406a-c07e-4c31-8826-39cc2cb50233 · outbound

This paper cites Noise2Filter: fast, self-supervised learning and real-time reconstruction for 3D computed tomography,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Noise2Filter: fast, self-supervised learning and real-time reconstruction for 3D computed tomography,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.465848Z

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Observation ee91c07d-1640-448a-b9b6-2dde49fb9ff8 · outbound

This paper cites SACNN: Self-attention convolutional neural network for low-dose CT denoising with self- supervised perceptual loss network,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction SACNN: Self-attention convolutional neural network for low-dose CT denoising with self- supervised perceptual loss network,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.448253Z

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Observation ab202ff1-add9-4b4e-99c7-b0726a4ef322 · outbound

This paper cites Unsharp structure guided filtering for self-supervised low-dose CT imaging,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Unsharp structure guided filtering for self-supervised low-dose CT imaging,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.432199Z

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Observation 360accee-1c53-43bd-a540-3220ba3a3b4c · outbound

This paper cites Self-Supervised Coordi- nate Projection Network for Sparse-View Computed Tomography,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Self-Supervised Coordi- nate Projection Network for Sparse-View Computed Tomography,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.416621Z

Source-reported events for the cited work

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Observation 8c4591c5-91c8-4090-a6bf-16584e28a721 · outbound

This paper cites Iterative reconstruction for limited-angle CT using implicit neural representation,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Iterative reconstruction for limited-angle CT using implicit neural representation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.401401Z

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Observation bfc8d4da-22af-4bd8-bfd0-d12abb766d2f · outbound

This paper cites DOLCE: A model-based probabilistic diffusion framework for limited-angle CT reconstruction,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction DOLCE: A model-based probabilistic diffusion framework for limited-angle CT reconstruction,

Reference 17

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Observation ac2b9696-71c0-47d0-855c-9a78ca3d09dc · outbound

This paper cites Denoising diffusion probabilistic models,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Denoising diffusion probabilistic models,

Reference 18

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Observation c3de83ca-d27f-4278-b7e3-8fb7138e88a3 · outbound

This paper cites Diffusion Model for Generative Image Denoising.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Diffusion Model for Generative Image Denoising

Reference 19

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Observation 241be101-617c-4a81-bb5c-0f48d5630f46 · outbound

This paper cites Denoising diffusion restoration models,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Denoising diffusion restoration models,

Reference 20

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Observation 0fd0ba19-4d0f-409d-a955-054b14b613f7 · outbound

This paper cites CoCoDiff: a contextual conditional diffusion model for low-dose CT image denoising,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction CoCoDiff: a contextual conditional diffusion model for low-dose CT image denoising,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.349465Z

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Observation bbfcd31d-7862-4db6-bfc8-5314d456a170 · outbound

This paper cites Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image Denoising.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image Denoising

Reference 22

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Observation cff03eda-a687-4dce-b144-31648e5ac2fe · outbound

This paper cites Generative modeling in sinogram domain for sparse-view CT reconstruction,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Generative modeling in sinogram domain for sparse-view CT reconstruction,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.334451Z

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Observation d0f9e119-e876-4116-abb8-188bd88b8d9f · outbound

This paper cites A Dual-Domain Diffusion Model for Sparse-View CT Reconstruction,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction A Dual-Domain Diffusion Model for Sparse-View CT Reconstruction,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.319236Z

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Observation 39fc6b0d-aa03-41b1-9c44-aac98391460b · outbound

This paper cites Solving 3d inverse problems using pre-trained 2d diffusion models,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Solving 3d inverse problems using pre-trained 2d diffusion models,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.304440Z

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Observation 3ded1562-d7bc-4ccd-b8a4-e014fb052b9b · outbound

This paper cites Distilling the Knowledge in a Neural Network.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Distilling the Knowledge in a Neural Network

Reference 26

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Observation de268abf-c8f0-4fd7-a3ea-0bd539e7ab1e · outbound

This paper cites Efficient medical image segmentation based on knowledge distillation,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Efficient medical image segmentation based on knowledge distillation,

Reference 27

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Observation a13467e8-fd7d-450d-bbef-9ba97a2cbf40 · outbound

This paper cites A self-supervised guided knowledge distillation framework for unpaired low-dose CT image denoising,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction A self-supervised guided knowledge distillation framework for unpaired low-dose CT image denoising,

Reference 28

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Observation 8ebd0220-13c0-4f9d-8cfe-e91bb94389f1 · outbound

This paper cites Deep mutual learning,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Deep mutual learning,

Reference 29

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Source-reported events for the cited work

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Observation 52c4c6c9-5dc2-4041-bf10-98f09f3c871d · outbound

This paper cites Incremental cross-view mutual distillation for self-supervised medical CT synthesis,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Incremental cross-view mutual distillation for self-supervised medical CT synthesis,

Reference 30

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Source-reported events for the cited work

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Observation 694ad838-4c65-4c49-b191-79570e69e99a · outbound

This paper cites Low-dose ct denoising via sinogram inner-structure transformer,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Low-dose ct denoising via sinogram inner-structure transformer,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.227129Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8267d781-5260-4762-99f2-06da11ab41d7 · outbound

This paper cites DRONE: Dual-domain residual-based optimization network for sparse-view CT reconstruction,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction DRONE: Dual-domain residual-based optimization network for sparse-view CT reconstruction,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.210107Z

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Observation c8f141b8-f8fd-4d33-98c1-dd25c4353460 · outbound

This paper cites Radon Inversion via Deep Learning,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Radon Inversion via Deep Learning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.193470Z

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Observation d925b46e-afd9-4e1e-9b06-05a0e88268e0 · outbound

This paper cites Downsampled Imaging Geometric Modeling for Accurate CT Reconstruction via Deep Learning,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Downsampled Imaging Geometric Modeling for Accurate CT Reconstruction via Deep Learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.177678Z

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Observation 9b6a1eb1-201f-4ad8-904b-9f649b6ff30f · outbound

This paper cites Low-dose CT with a residual encoder-decoder convolutional neural network,.

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction Low-dose CT with a residual encoder-decoder convolutional neural network,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.161443Z

Source-reported events for the cited work

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Observation 0d40fa69-e7a6-4ea1-b460-1dcee7e30453 · outbound

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

SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction FreeSeed: Frequency- band-aware and self-guided network for sparse-view CT reconstruc- tion,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:59:49.144882Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

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