Paper Citation Record · LEDGER

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images

As of 22 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2507.04252.

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

pith.paper-citation-record.v1
2507.04252 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:56:24.203010Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

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

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Reference resolution

23 of 23 outbound references displayed

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External citation measurements

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Outbound references

Observation dd3ececa-1471-42d1-8500-9640675f76eb · outbound

This paper cites MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset

Reference 1

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Observation 9ae83c8a-5008-4d59-b7f5-1e3b33ad89ac · outbound

This paper cites Deep residual learning[J].

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images Deep residual learning[J]

Reference 2

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Observation 4ebc5f13-0d50-4682-8abf-f6ed03985835 · outbound

This paper cites Going deeper with convolu- tions[C]//Proceedings of the IEEE conference on computer vision and pattern recognition.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images Going deeper with convolu- tions[C]//Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:24.519715Z

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Observation cb199171-c252-4e43-9a63-54fad074b58b · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 4

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Observation be13a06c-4d2b-418a-b1a7-2006d2b54e32 · outbound

This paper cites MisGAN: Learn- ing from Incomplete Data with Generative Adversarial Networks.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images MisGAN: Learn- ing from Incomplete Data with Generative Adversarial Networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:24.464332Z

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Observation d51a8776-a834-4b20-91fb-1ee769ce2526 · outbound

This paper cites Improved training of wasserstein gans.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images Improved training of wasserstein gans

Reference 9

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Observation 94074a1c-9748-43cf-ae0f-59712a9bcca9 · outbound

This paper cites Generative adversarial nets.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images Generative adversarial nets

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:24.449244Z

Source-reported events for the cited work

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Observation 8975e543-ebe8-4b9b-8fdf-f6897f5bcd48 · outbound

This paper cites Deep generative image models using a laplacian pyramid of adversarial networks.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images Deep generative image models using a laplacian pyramid of adversarial networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:24.439277Z

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Observation 06c96669-1d96-4965-b489-3c9bda777eba · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 12

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Source-reported events for the cited work

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Observation d1d591c9-e4cd-4588-8306-744a6711f3e2 · outbound

This paper cites Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:24.429259Z

Source-reported events for the cited work

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Observation daef2e5a-7078-49e9-bef5-50a78e304365 · outbound

This paper cites WHO COVID-19 Case defini- tion.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images WHO COVID-19 Case defini- tion

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:24.419741Z

Source-reported events for the cited work

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Observation 218125fd-a424-4654-ae79-c7195e62f738 · outbound

This paper cites Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

Reference 15

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Observation b035843b-1ab7-4edd-b38a-0cee3500700b · outbound

This paper cites A systematic review of CT chest in COVID-19 diagnosis and its potential application in a surgical setting.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images A systematic review of CT chest in COVID-19 diagnosis and its potential application in a surgical setting

Reference 16

Resolution: verified exact; doi, observed 2026-08-06T19:56:24.255378Z

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Observation c227069c-956f-4b2e-8336-6aa0fb4713d5 · outbound

This paper cites an unresolved cited work.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:56:24.409838Z

Source-reported events for the cited work

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Observation f3dff4a7-5d87-46c1-a9ae-483ffa5ca495 · outbound

This paper cites A Deep Learning Approach for the Detection of COVID-19 from Chest X-Ray Images using Convolutional Neural Networks.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images A Deep Learning Approach for the Detection of COVID-19 from Chest X-Ray Images using Convolutional Neural Networks

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:56:24.346046Z

Source-reported events for the cited work

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Observation 5e51098e-dabe-42f7-bb1f-fe3299bdf00a · outbound

This paper cites Comparative analysis of deep learning models for COVID- 19 detection.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images Comparative analysis of deep learning models for COVID- 19 detection

Reference 19

Resolution: verified exact; doi, observed 2026-08-06T19:56:24.244750Z

Source-reported events for the cited work

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Observation 8c731260-963e-4cae-8096-900f5ee2a92f · outbound

This paper cites Deep learning for COVID-19 detection based on CT images.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images Deep learning for COVID-19 detection based on CT images

Reference 20

Resolution: verified exact; doi, observed 2026-08-06T19:56:24.234242Z

Source-reported events for the cited work

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Observation f340c060-dad4-4a75-bddf-e3f3ef72c999 · outbound

This paper cites Deep learning for diagnosis of COVID- 19 using 3D CT scans.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images Deep learning for diagnosis of COVID- 19 using 3D CT scans

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T19:56:24.188003Z

Source-reported events for the cited work

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Observation 108d8ed5-c9e4-47d5-88bf-c612e63e9482 · outbound

This paper cites STAN-CT: Standardizing CT Image using Generative Adversarial Networks[J].

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images STAN-CT: Standardizing CT Image using Generative Adversarial Networks[J]

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:24.399676Z

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.

Observation 02df6417-1106-45ba-8cdb-b45bc974777f · outbound

This paper cites COVID-19 Diagnosis from CT Images with Convolutional Neural Network Optimized by Marine Predator Optimization Algorithm.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images COVID-19 Diagnosis from CT Images with Convolutional Neural Network Optimized by Marine Predator Optimization Algorithm

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:24.388955Z

Source-reported events for the cited work

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Observation 8e4d5e75-f334-4cb7-877b-df8de77a06cd · outbound

This paper cites Learning imbalanced datasets with label-distribution-aware margin loss[J].

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images Learning imbalanced datasets with label-distribution-aware margin loss[J]

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:24.495485Z

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.

Observation 55103146-ff6b-494a-a5af-9e3c9263a065 · outbound

This paper cites Calibrating deep neural net- works using focal loss[J].

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images Calibrating deep neural net- works using focal loss[J]

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:24.483091Z

Source-reported events for the cited work

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Observation 94c37ad8-406c-4f4d-93ff-e8ff7d49ae55 · outbound

This paper cites Class-balanced loss based on effective number of samples[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images Class-balanced loss based on effective number of samples[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:24.474189Z

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.

Pith citing papers

No inbound Pith citation observations are available.