Paper Citation Record · LEDGER

Solar image denoising with convolutional neural networks

As of 15 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:1908.02815.

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

pith.paper-citation-record.v1
1908.02815 v1

Coverage vector

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Pith citing papers itemized under the disclosed page cap.

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Outbound references

Observation aebbf79a-057c-4fbc-9358-2727a3bd05c0 · outbound

This paper cites & de la Cruz Rodríguez, J.

Solar image denoising with convolutional neural networks & de la Cruz Rodríguez, J

Reference 1

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Observation 4b5e4ea1-4757-444f-817b-fb949697b197 · outbound

This paper cites Real-time multiframe blind deconvolution of solar images.

Solar image denoising with convolutional neural networks Real-time multiframe blind deconvolution of solar images

Reference 2

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Observation aa7b2a99-8e08-4f86-9e6c-a4a3997c23bb · outbound

This paper cites 2019, HelioML /HelioML: HelioML 0.2.0 (2019-02-22).

Solar image denoising with convolutional neural networks 2019, HelioML /HelioML: HelioML 0.2.0 (2019-02-22)

Reference 3

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Observation 5f77ff07-2103-47a1-b9fa-5e04daa60abe · outbound

This paper cites A., Kopf, M., Ilyin, I., & Strassmeier, K.

Solar image denoising with convolutional neural networks A., Kopf, M., Ilyin, I., & Strassmeier, K

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:37:46.271054Z

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Observation ca0fecfa-7403-4eb1-a2ef-fcd3175087ac · outbound

This paper cites Removal of Spectro-Polarimetric Fringes by 2D PCA.

Solar image denoising with convolutional neural networks Removal of Spectro-Polarimetric Fringes by 2D PCA

Reference 5

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Observation beba21f0-173f-4333-bced-6f02d4a1adb6 · outbound

This paper cites an unresolved cited work.

Solar image denoising with convolutional neural networks Unresolved cited work

Reference 6

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Observation 542947da-802b-422b-9f3b-a1285a5af2f4 · outbound

This paper cites 2013, Memorie della Societa As- tronomica Italiana, 84, 379 de la Cruz Rodríguez, J., Leenaarts, J., & Asensio Ramos, A.

Solar image denoising with convolutional neural networks 2013, Memorie della Societa As- tronomica Italiana, 84, 379 de la Cruz Rodríguez, J., Leenaarts, J., & Asensio Ramos, A

Reference 7

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Observation e4be514c-d98e-4f11-b30c-de00ef4b6fdf · outbound

This paper cites Model-blind Video Denoising Via Frame-to-frame Training.

Solar image denoising with convolutional neural networks Model-blind Video Denoising Via Frame-to-frame Training

Reference 8

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Observation 0736ae61-c16b-4e4d-832a-b0ca26ae5410 · outbound

This paper cites Dropout as a Bayesian Approximation: Appendix.

Solar image denoising with convolutional neural networks Dropout as a Bayesian Approximation: Appendix

Reference 9

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Observation 48179402-7078-4c81-9c0b-ef488fba1fe2 · outbound

This paper cites Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning.

Solar image denoising with convolutional neural networks Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Reference 10

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Observation 1f19c0aa-dfd0-4364-b005-119bd41c245f · outbound

This paper cites Concrete Dropout.

Solar image denoising with convolutional neural networks Concrete Dropout

Reference 11

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Observation 2ae61c98-655a-4352-adbe-7e0257249fcb · outbound

This paper cites M., Snik, F., Keller, C.

Solar image denoising with convolutional neural networks M., Snik, F., Keller, C

Reference 12

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Observation 00e413a2-7406-4a84-a841-54bc807b17cb · outbound

This paper cites Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification.

Solar image denoising with convolutional neural networks Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Reference 13

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Observation 73a2f2f3-0de7-47f7-ab64-b05002a3b693 · outbound

This paper cites Improving neural networks by preventing co-adaptation of feature detectors.

Solar image denoising with convolutional neural networks Improving neural networks by preventing co-adaptation of feature detectors

Reference 14

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Observation 8f9f8b04-640c-408c-aed5-84a07d7e25fd · outbound

This paper cites Densely Connected Convolutional Networks.

Solar image denoising with convolutional neural networks Densely Connected Convolutional Networks

Reference 15

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Observation 3a0d968e-bd9b-41ce-8fb4-3b9f5178ad97 · outbound

This paper cites 2018, ApJ, 856, 7.

Solar image denoising with convolutional neural networks 2018, ApJ, 856, 7

Reference 16

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Observation 577ae270-4908-46b6-8338-e391e25442c2 · outbound

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Solar image denoising with convolutional neural networks Unresolved cited work

Reference 17

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Observation 1a71ae46-076e-43b2-b58c-c4fb43f1df66 · outbound

This paper cites & Seung, H.

Solar image denoising with convolutional neural networks & Seung, H

Reference 18

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Observation 1b42027a-b41a-449b-8128-2b7f69a1db69 · outbound

This paper cites C., Macek, J.

Solar image denoising with convolutional neural networks C., Macek, J

Reference 19

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Observation a1a6b940-b279-4aa7-ab26-b725287254d9 · outbound

This paper cites What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?.

Solar image denoising with convolutional neural networks What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

Reference 20

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Observation 93e40e3b-bb86-4bf0-99ed-ee19d678bb9a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Solar image denoising with convolutional neural networks Adam: A Method for Stochastic Optimization

Reference 21

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This paper cites & Bengio, Y.

Solar image denoising with convolutional neural networks & Bengio, Y

Reference 22

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Observation 55d8a7d8-5473-4d31-8d98-a158505c2830 · outbound

This paper cites Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network.

Solar image denoising with convolutional neural networks Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Reference 23

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Observation 97b4c647-fd6b-467a-bbaa-3b1088c344e9 · outbound

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

Solar image denoising with convolutional neural networks Noise2Noise: Learning Image Restoration without Clean Data

Reference 24

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Solar image denoising with convolutional neural networks Unresolved cited work

Reference 25

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Solar image denoising with convolutional neural networks Unresolved cited work

Reference 26

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Observation f0a05a64-2a1f-4fcc-9da9-7e529cad76f8 · outbound

This paper cites Dynamical heating across the Milky Way disc using APOGEE and $\it{Gaia}$.

Solar image denoising with convolutional neural networks Dynamical heating across the Milky Way disc using APOGEE and $\it{Gaia}$

Reference 27

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This paper cites A Simple Baseline for Bayesian Uncertainty in Deep Learning.

Solar image denoising with convolutional neural networks A Simple Baseline for Bayesian Uncertainty in Deep Learning

Reference 28

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This paper cites Deep End-to-end Fingerprint Denoising and Inpainting.

Solar image denoising with convolutional neural networks Deep End-to-end Fingerprint Denoising and Inpainting

Reference 29

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Observation 546c8c88-3a8c-451c-9625-02366e0c4e92 · outbound

This paper cites & Hinton, G.

Solar image denoising with convolutional neural networks & Hinton, G

Reference 30

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Observation 766ede06-e7b2-4055-8b97-626fe74021f5 · outbound

This paper cites 2018, ApJ, 858, 113.

Solar image denoising with convolutional neural networks 2018, ApJ, 858, 113

Reference 31

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Solar image denoising with convolutional neural networks Unresolved cited work

Reference 32

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Solar image denoising with convolutional neural networks Unresolved cited work

Reference 33

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Solar image denoising with convolutional neural networks Unresolved cited work

Reference 34

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Observation d812a4ed-558e-46a4-ba2f-513f937ea7c3 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Solar image denoising with convolutional neural networks U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 35

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Solar image denoising with convolutional neural networks Unresolved cited work

Reference 36

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This paper cites B., Bjelksjo, K., Korhonen, T.

Solar image denoising with convolutional neural networks B., Bjelksjo, K., Korhonen, T

Reference 37

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This paper cites B., Narayan, G., Hillberg, T., et al.

Solar image denoising with convolutional neural networks B., Narayan, G., Hillberg, T., et al

Reference 38

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This paper cites Single-Model Uncertainties for Deep Learning.

Solar image denoising with convolutional neural networks Single-Model Uncertainties for Deep Learning

Reference 39

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This paper cites R., Beruko ﬀ, S., et al.

Solar image denoising with convolutional neural networks R., Beruko ﬀ, S., et al

Reference 40

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This paper cites Deep Image Prior.

Solar image denoising with convolutional neural networks Deep Image Prior

Reference 41

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This paper cites 2008, in Proceedings of the 25th International Conference on Machine Learning, ICML ’08 (New.

Solar image denoising with convolutional neural networks 2008, in Proceedings of the 25th International Conference on Machine Learning, ICML ’08 (New

Reference 42

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This paper cites 2005, A&A, 429, 335.

Solar image denoising with convolutional neural networks 2005, A&A, 429, 335

Reference 43

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Solar image denoising with convolutional neural networks K., & Solanki, S

Reference 44

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This paper cites tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow.

Solar image denoising with convolutional neural networks tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow

Reference 45

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This paper cites 2017, IEEE Transactions on Image Processing, 26, 3142.

Solar image denoising with convolutional neural networks 2017, IEEE Transactions on Image Processing, 26, 3142

Reference 46

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Observation d5ea64c1-0b9d-4aa8-80ac-d5c203684cae · outbound

This paper cites 2018, IEEE Transactions on Image Processing, 27, 4608 Article number, page 11 of 13 A&A proofs: manuscript no.

Solar image denoising with convolutional neural networks 2018, IEEE Transactions on Image Processing, 27, 4608 Article number, page 11 of 13 A&A proofs: manuscript no

Reference 47

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Pith citing papers

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