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Paper Citation Record · LEDGER

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction

As of 22 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2412.16979.

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pith.paper-citation-record.v1
2412.16979 v1

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measured 59 of 59 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

59 of 59 outbound references displayed

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Outbound references

Observation 8a095c83-a19d-473c-9744-5425c44cbd7f · outbound

This paper cites Robust imaging using electrical impedance tomography: review of current tools,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Robust imaging using electrical impedance tomography: review of current tools,

Reference 1

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Observation 53d7d283-f091-41bd-9fba-335972d8a194 · outbound

This paper cites Electrical impedance tomography in acute respiratory distress syndrome,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Electrical impedance tomography in acute respiratory distress syndrome,

Reference 2

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Observation 20c5eec8-425c-4cc4-8224-12ed2bed9c20 · outbound

This paper cites Realistic forward and inverse model mesh generation for rapid three-dimensional thoracic electrical impedance imaging,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Realistic forward and inverse model mesh generation for rapid three-dimensional thoracic electrical impedance imaging,

Reference 3

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Observation 883c2faf-92fc-4842-a593-6fafe75e1d43 · outbound

This paper cites Stimulation and measurement patterns versus prior information for fast 3d eit: a breast screening case study,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Stimulation and measurement patterns versus prior information for fast 3d eit: a breast screening case study,

Reference 4

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Observation 01cc4788-a06e-405c-9487-e8f88c7c087b · outbound

This paper cites Application of process tomography to multiphase flow measurement in industrial and biomedical fields: A review,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Application of process tomography to multiphase flow measurement in industrial and biomedical fields: A review,

Reference 5

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Observation 378fe000-5b24-4b8e-b7b8-1518fca41c23 · outbound

This paper cites Tactile sensing using ma- chine learning-driven electrical impedance tomography,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Tactile sensing using ma- chine learning-driven electrical impedance tomography,

Reference 6

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Observation 2e40371d-edf5-47c8-b37f-48548e24f9e8 · outbound

This paper cites Improved tactile stimulus reconstruction in electrical impedance tomography using the discrete cosine transform and machine learning,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Improved tactile stimulus reconstruction in electrical impedance tomography using the discrete cosine transform and machine learning,

Reference 7

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Observation db5b9264-6610-48c5-a681-955a8151fa0a · outbound

This paper cites Resolution enhancement of electrical resistivity tomography based on deep learning,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Resolution enhancement of electrical resistivity tomography based on deep learning,

Reference 8

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Observation e0248de0-7d4b-4cfe-ba8d-01c54293e801 · outbound

This paper cites Mukhopadhyay, Ed., Next generation sensors and systems , ser.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Mukhopadhyay, Ed., Next generation sensors and systems , ser

Reference 9

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Observation 110e2182-ffcd-4731-a95e-7ccad04cf558 · outbound

This paper cites Enhanced circular dichroism for achiral sensing based on a DNA-origami-empowered anapole metasurface,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Enhanced circular dichroism for achiral sensing based on a DNA-origami-empowered anapole metasurface,

Reference 10

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Observation 03c13e23-9b9a-4f62-a88f-4d54bfc98335 · outbound

This paper cites Scattering exceptional point in the visible,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Scattering exceptional point in the visible,

Reference 11

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Observation 630a76ae-b4cb-4c96-91cf-81be88762f76 · outbound

This paper cites Advances in electrical impedance tomography inverse problem solution methods: From traditional regularization to deep learning,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Advances in electrical impedance tomography inverse problem solution methods: From traditional regularization to deep learning,

Reference 12

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Observation 3ea4b4af-4509-40aa-a9e9-f1180e3713c7 · outbound

This paper cites Adler and D.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Adler and D

Reference 13

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Observation a6da4f33-bfa8-4177-a2f6-aa2778d7a9cc · outbound

This paper cites Tactile sensing using machine learning-driven electrical impedance tomography,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Tactile sensing using machine learning-driven electrical impedance tomography,

Reference 14

Resolution
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Observation 5e9d5871-6dff-41e4-b550-033ab57a74c7 · outbound

This paper cites Review on electrical impedance tomog- raphy: Artificial intelligence methods and its applications,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Review on electrical impedance tomog- raphy: Artificial intelligence methods and its applications,

Reference 15

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Observation eee0290b-e8d9-4926-8d02-25bbfac6c0f1 · outbound

This paper cites Applied potential tomography,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Applied potential tomography,

Reference 16

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Observation 1b4bb373-8682-4e9d-bd57-7210636bc7f1 · outbound

This paper cites Tikhonov regularization and total least squares,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Tikhonov regularization and total least squares,

Reference 17

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Observation aa6c4189-2193-4afd-a7bd-1d5b054b6589 · outbound

This paper cites Iterative reconstruction methods using regularization and optimal current patterns in electrical impedance tomography,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Iterative reconstruction methods using regularization and optimal current patterns in electrical impedance tomography,

Reference 18

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Observation 68fbbdb9-fccb-467a-818a-78fd4a7dbcd1 · outbound

This paper cites Photo-realistic single image super-resolution using a generative adversarial network,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Photo-realistic single image super-resolution using a generative adversarial network,

Reference 19

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Observation 3257a64d-9054-473f-8c67-aa9e0f47e65d · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 20

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Observation a136f5cb-a7f6-44bf-83f6-6471d71670e0 · outbound

This paper cites Denoising diffusion probabilistic models,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Denoising diffusion probabilistic models,

Reference 21

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Observation c20e88ca-b450-44da-9e56-8a313c87ebf2 · outbound

This paper cites Diffusion models beat GANs on image synthesis,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Diffusion models beat GANs on image synthesis,

Reference 22

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Observation a0572ff7-6c31-47d6-87f9-5d586871a2bf · outbound

This paper cites Wavegrad: Estimating gradients for waveform generation,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Wavegrad: Estimating gradients for waveform generation,

Reference 23

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Observation 019103e4-2298-4d0b-a04b-db646e0ddbf6 · outbound

This paper cites Image super-resolution via iterative refinement,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Image super-resolution via iterative refinement,

Reference 24

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Observation ab813246-5bb4-4c77-b0d5-8d82a3ab43f1 · outbound

This paper cites Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model

Reference 25

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Observation d46e9831-d558-47a3-bf8c-7636b2869139 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction High-resolution image synthesis with latent diffusion models,

Reference 26

Resolution
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Observation 247dc03e-9e99-47df-b04c-ff1cc29449e0 · outbound

This paper cites Palette: Image-to-image diffusion models,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Palette: Image-to-image diffusion models,

Reference 27

Resolution
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Source-reported events for the cited work

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Observation f08b02e6-37d5-4bbb-9ba9-44536b45e24f · outbound

This paper cites Scalable diffusion models with transformers,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Scalable diffusion models with transformers,

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b4856240-3282-4ef1-9b32-69c394e41b83 · outbound

This paper cites Image reconstruction in electrical impedance tomography based on structure-aware sparse bayesian learning,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Image reconstruction in electrical impedance tomography based on structure-aware sparse bayesian learning,

Reference 29

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3015de65-d487-48ef-8ec5-005b9e3020bd · outbound

This paper cites Total variation regularization in electrical impedance tomography,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Total variation regularization in electrical impedance tomography,

Reference 30

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 9d36f728-04d1-449f-9d8f-e4df84893530 · outbound

This paper cites Bayesian image reconstruction using weighted laplace prior for lung respiratory monitoring with electrical impedance tomography,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Bayesian image reconstruction using weighted laplace prior for lung respiratory monitoring with electrical impedance tomography,

Reference 31

Resolution
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Source-reported events for the cited work

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Observation 1e17377f-c9b6-4730-b84f-e7f25f331228 · outbound

This paper cites Noser: An algorithm for solving the inverse conductivity problem,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Noser: An algorithm for solving the inverse conductivity problem,

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3992e0f2-a90c-4561-bfff-cf2660fb9c0e · outbound

This paper cites Reconstructions of chest phantoms by the d-bar method for electrical impedance tomogra- phy,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Reconstructions of chest phantoms by the d-bar method for electrical impedance tomogra- phy,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 57a14a65-bdca-405a-8a83-155534eada7c · outbound

This paper cites Image reconstruction based on convolutional neural network for electrical resistance tomography,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Image reconstruction based on convolutional neural network for electrical resistance tomography,

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 191ce3a3-c1d1-4649-acd9-fdc7907afe13 · outbound

This paper cites Image reconstruction for electrical impedance tomography based on spatial invariant feature maps and convolutional neural network,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Image reconstruction for electrical impedance tomography based on spatial invariant feature maps and convolutional neural network,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.991981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.338958Z digest=sha256:91623afb22e4d32a759f9c67fd597a1f679c3955b5cb65a6eb3b1e1843e97220

Observation 2a4401f9-58a7-4903-999a-6561a53bb414 · outbound

This paper cites Deep learning based cell imaging with electrical impedance tomography,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Deep learning based cell imaging with electrical impedance tomography,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.971904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.344931Z digest=sha256:64c40bcb79f4aeb0ef34ff0a19290d1fae618a277e68525a01cd011ee24b7b62

Observation 8c05557b-2d58-4c92-84ff-69ee6899edc9 · outbound

This paper cites Structure-aware dual-branch network for elec- trical impedance tomography in cell culture imaging,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Structure-aware dual-branch network for elec- trical impedance tomography in cell culture imaging,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.951433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.350667Z digest=sha256:378a18b3252a8ad83db4b4394a36479ae59cba060a7e55099f45ff0ae34f7288

Observation 4545331f-8077-4258-91e7-a0f4e877821f · outbound

This paper cites High-resolution conductivity reconstruction by electrical impedance tomography using structure- aware hybrid-fusion learning,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction High-resolution conductivity reconstruction by electrical impedance tomography using structure- aware hybrid-fusion learning,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.929233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.356421Z digest=sha256:e184946f9550b41ce26b4f111537b99c2cac41c527ed2618e549326eb0a35678

Observation 5ac785b4-dc92-4567-b541-ba7f0eb6c609 · outbound

This paper cites Shape reconstruction with multiphase conductivity for electrical impedance tomography using improved convolutional neural network method,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Shape reconstruction with multiphase conductivity for electrical impedance tomography using improved convolutional neural network method,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.907397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.363012Z digest=sha256:150e8306115c73b143b823f8e39d767e2eb01ce0fedf2e8ffe574292923e17c2

Observation c5e1162c-790b-4302-814c-2b1e5d38a12d · outbound

This paper cites Error-constraint deep learning scheme for electrical impedance tomography (eit),.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Error-constraint deep learning scheme for electrical impedance tomography (eit),

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.889979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.374776Z digest=sha256:b36f15835702ed91f95a003bcf6f17c9aaafceac61634cdd9be89c227d571655

Observation 6812af9b-cac7-4db0-bb91-49643b516523 · outbound

This paper cites Electrical impedance tomography deep imaging with dual-branch u-net based on deformable convolution and hyper-convolution,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Electrical impedance tomography deep imaging with dual-branch u-net based on deformable convolution and hyper-convolution,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.873782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.380006Z digest=sha256:99c69ff3feab210f14da0fb6c902dabceecbf06e17f3bed3efae0ed133cc87ce

Observation 4e83ce96-d3e9-469b-97b7-4d8ac1a27b69 · outbound

This paper cites Deepeit: Deep image prior enabled electrical impedance tomography,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Deepeit: Deep image prior enabled electrical impedance tomography,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.856674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.384521Z digest=sha256:8d5e8766cdf2861a2fa024f598bb536963986e6c5034f95906494850b60f1290

Observation 53e5243e-add7-4eba-ad2d-5b1f205e1fb2 · outbound

This paper cites A comparative study of variational autoencoders, normalizing flows, and score-based diffusion models for electrical impedance tomography,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction A comparative study of variational autoencoders, normalizing flows, and score-based diffusion models for electrical impedance tomography,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.838720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.389077Z digest=sha256:d505f5eba5ff2a06e87c37cb2da1cbdcab2dc0f7e5b6131a5046bab1e293988c

Observation 3cffeb0e-ceae-4a77-b315-defc68f53212 · outbound

This paper cites Data-driven approaches for electrical impedance to- mography image segmentation from partial boundary data,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Data-driven approaches for electrical impedance to- mography image segmentation from partial boundary data,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.821631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.394184Z digest=sha256:57033adde854d836cc8a08394a21731cdb9bfbf9a9934016b307c15f28c9800a

Observation e4f1eef2-6eb2-4302-b993-78c382feaa55 · outbound

This paper cites Bounding evidence and estimating log-likelihood in vae,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Bounding evidence and estimating log-likelihood in vae,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.797236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.399711Z digest=sha256:3ba0df2caf9ba282f5d56401e1fac71c656c4e45d9fa1020de7b026255c45e49

Observation 5f1940f6-a4e4-46a8-94ad-9cd225d7281f · outbound

This paper cites Bishop, Pattern Recognition and Machine Learning.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Bishop, Pattern Recognition and Machine Learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.777363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.404889Z digest=sha256:6eac9b320e11069f6cc1a7ab86123fe102b4fdcf71ffc457578ee7ecf8ffc704

Observation e397a37c-ae24-44e5-a3aa-1f8166854665 · outbound

This paper cites Attention is all you need,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Attention is all you need,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.755206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.411055Z digest=sha256:90f9292ba029d9847b77e0901a51b2ea8c401233cac53e8d934833fb96eb085c

Observation f80cf3db-2cdc-4b94-aba2-9955e88c3a92 · outbound

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

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.738458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.415603Z digest=sha256:d168c3a0b8c83d4d15a52b8ffb7bf2c11f15b73bb6764a99e6dc21bac57eec3e

Observation e0690a8f-3755-4a2b-b4df-65180d82ff6a · outbound

This paper cites Searching for Activation Functions.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Searching for Activation Functions

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T05:59:31.420620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:59:31.420620Z digest=sha256:f17fe6c01450258d891b2e2acf2243c8e931e8c91214ba4f736ebe5dbdcc2ef9

Observation 720e355d-2a50-4c2d-9583-8baf55799d25 · outbound

This paper cites Root Mean Square Layer Normalization,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Root Mean Square Layer Normalization,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.712761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.426438Z digest=sha256:25e596cbe96dc03ab1b306e5dc1f10946d2d30017679154ce4497cdecb77f34b

Observation 10707d05-703d-484a-b3fc-bbaebd05399c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Adam: A Method for Stochastic Optimization

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T05:59:31.433372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:59:31.433372Z digest=sha256:0cab3a85bd13056d4b430795719ff84ecc7773d5f3efbf921d838aa0e82eb64c

Observation 647ef04d-c35e-4835-a492-72f12b52ce35 · outbound

This paper cites Denoising diffusion implicit models,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Denoising diffusion implicit models,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T05:59:31.439193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:59:31.439193Z digest=sha256:2a0ebebcfa04ec4eb5a6da742459c762fc9a9ee9dc1251dd5cf8bd57bc4fe2bb

Observation a6362b5a-7fe9-4b11-b602-f507c8e65f5a · outbound

This paper cites Jeans, Mathematical Theory of Electricity and Magnetism , ser.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Jeans, Mathematical Theory of Electricity and Magnetism , ser

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.681291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.445010Z digest=sha256:5a1bf892cf19ba796937861b6934950ffec25c9f21d0970f711bc6ddde7697ed

Observation 4819a217-994f-483c-8a02-2fe73448b325 · outbound

This paper cites Eidors: Towards a community-based extensible software base for eit,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Eidors: Towards a community-based extensible software base for eit,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.664353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.449987Z digest=sha256:e8f41285eb573043fd5e9a91f03798cd2dabdc5c322b2ca494b92b8febeed08e

Observation 08825fed-d7bb-4c8f-b48c-44be52e977e9 · outbound

This paper cites The sheffield data collection system,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction The sheffield data collection system,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.647690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.456116Z digest=sha256:18ce17a51bba7bfdf54c3231b2b50027f43452cd2c40d9e73ccaba2b69b312ba

Observation 905b4a9f-9bbe-406b-9be0-3834aeb5ba04 · outbound

This paper cites Open 2D Electrical Impedance Tomography data archive.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Open 2D Electrical Impedance Tomography data archive

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T05:59:31.461213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:59:31.461213Z digest=sha256:bb909007c0eac0abdcdbe17aee2286fb164643c7314d1b622504ed008e431021

Observation 93c3aca0-f64a-4442-89de-55e7130329a9 · outbound

This paper cites Kuopio tomography challenge 2023 – electrical impedance tomography competition and open dataset,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Kuopio tomography challenge 2023 – electrical impedance tomography competition and open dataset,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.630038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.466493Z digest=sha256:6ec5dc4e519f1865e53edea2ee0c63284b1e6e356581b87cdf0811c821391dea

Observation 5fa3b4cf-7f8f-481f-8c04-c35b02cc7a26 · outbound

This paper cites The ace1 electrical impedance tomography system for thoracic imaging,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction The ace1 electrical impedance tomography system for thoracic imaging,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:59:31.611916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T05:59:31.471504Z digest=sha256:a0452f63171dff4be794e6aa1b1a61a81a971857f8f7b85ecd3a9ae43b1695e3

Observation a6e3a15b-fd70-4995-aa70-8039f2ab51c4 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Image quality assessment: from error visibility to structural similarity,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T05:59:31.477009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:59:31.477009Z digest=sha256:dc4de5802f8183caaf10d280e2a9b932736f10c8cfeaa9ae0f12468262ff4c33

Pith citing papers

No inbound Pith citation observations are available.