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Paper Citation Record · LEDGER

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand

As of 10 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.09305.

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

pith.paper-citation-record.v1
2607.09305 v2

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Outbound references

Observation 9693ef2c-69dc-47b2-bb6d-6bfe8db7d51b · outbound

This paper cites Chest radiography in general practice: indications, diagnostic yield and consequences for patient management.Br J Gen Pract, 56(529):574–578, 2006.

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Chest radiography in general practice: indications, diagnostic yield and consequences for patient management.Br J Gen Pract, 56(529):574–578, 2006

Reference 1

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This paper cites Mortality estimates for south east asia, and indepth mortality surveillance: necessary but not sufficient?International journal of epidemiology, 42(4):1196–1199, 2013.

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Mortality estimates for south east asia, and indepth mortality surveillance: necessary but not sufficient?International journal of epidemiology, 42(4):1196–1199, 2013

Reference 2

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This paper cites Global tuberculosis report 2019, 2019.

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Global tuberculosis report 2019, 2019

Reference 3

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This paper cites Assessing the accuracy and certainty in interpreting chest x-rays in the medical division.Clinical medicine, 13(4):349, 2013.

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Assessing the accuracy and certainty in interpreting chest x-rays in the medical division.Clinical medicine, 13(4):349, 2013

Reference 4

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This paper cites Thai specialist statistics 2019, 2019.

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Thai specialist statistics 2019, 2019

Reference 5

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This paper cites Chexpert: A large chest radiograph dataset with uncer- tainty labels and expert comparison.Proceedings of the AAAI Conference on Artificial Intelligence, 33:590–597, Jul 2019.

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Chexpert: A large chest radiograph dataset with uncer- tainty labels and expert comparison.Proceedings of the AAAI Conference on Artificial Intelligence, 33:590–597, Jul 2019

Reference 7

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This paper cites Deep learning in chest radiography: detection of findings and presence of change.PloS one, 13(10), 2018.

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Deep learning in chest radiography: detection of findings and presence of change.PloS one, 13(10), 2018

Reference 8

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This paper cites Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification.

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification

Reference 9

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Unresolved cited work

Reference 10

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Unresolved cited work

Reference 13

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This paper cites Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study.

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study

Reference 14

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This paper cites Densely connected convolutional networks.

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Densely connected convolutional networks

Reference 15

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This paper cites Learning visual context by comparison.

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Learning visual context by comparison

Reference 16

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Deep residual learning for image recognition

Reference 19

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Imagenet: A large-scale hierarchical image database

Reference 20

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Learning deep features for discriminative localization

Reference 21

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Unresolved cited work

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Di Capua, Markus Y

Reference 23

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Al-antari, Pavlína Polášková, and Sergei Strukov

Reference 24

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Ai-assisted detection for chest x-rays (aid-cxr): a multi-reader multi-case study protocol.BMJ Open, 14:e080554, 2024

Reference 25

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This paper cites Development and validation of deep learning–based automatic detection algorithm for malignant pulmonary nodules on chest radiographs.Radiology, 290(1):218–228, 2019.

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Development and validation of deep learning–based automatic detection algorithm for malignant pulmonary nodules on chest radiographs.Radiology, 290(1):218–228, 2019

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Digumarthy, and Mannudeep K

Reference 27

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Unresolved cited work

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Real-world evaluation of an ai triaging system for chest x-rays: A prospective clinical study.European Journal of Radiology, 181:111783, 2024

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Kiraly, Sreenivasa Raju Kalidindi, Monde Muyoyeta, Jameson Malemela, Ting Shih, Greg S

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Unresolved cited work

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand ClinicalTrials.gov, 2025

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand ClinicalTrials.gov, 2025

Reference 33

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand ClinicalTrials.gov, 2024

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand ClinicalTrials.gov, 2023

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This paper cites Can deep learning reliably recognize abnormality patterns on chest x-rays? a multi-reader study examining one month of ai implementation in everyday radiology clinical practice.

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Can deep learning reliably recognize abnormality patterns on chest x-rays? a multi-reader study examining one month of ai implementation in everyday radiology clinical practice

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From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Kalra, Chayanin Nitiwarangkul, John A

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no resolver link, observed 2026-08-02T07:42:24.818703Z

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Observation 76cf0a0d-7f15-47c2-a645-79936e690784 · outbound

This paper cites Sus: A retrospective.Journal of Usability Studies, 8(2):29–40, 2013.

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Sus: A retrospective.Journal of Usability Studies, 8(2):29–40, 2013

Reference 38

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no resolver link, observed 2026-08-02T07:42:24.884096Z

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Observation 9cea0246-2f7b-463b-b562-1caa51e58a79 · outbound

This paper cites An empirical evaluation of the system usability scale.

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand An empirical evaluation of the system usability scale

Reference 39

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no resolver link, observed 2026-08-02T07:42:24.924393Z

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source=pdf_text observed=2026-08-02T07:42:24.924393Z digest=sha256:cd31453ec746558a7346bd4d28d942a6d74d5060eb39ac412a416ea6918d4bd0

Observation e6b029ae-95b8-41fd-b5e3-9fba112f67fb · outbound

This paper cites an unresolved cited work.

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Unresolved cited work

Reference 40

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no resolver link, observed 2026-08-02T07:42:24.972191Z

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Observation 2c7f9f2f-d511-4cfa-a6ce-5f8af2e0f5e1 · outbound

This paper cites Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort.PLOS ONE, 16(2):e0246472, 2021.

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort.PLOS ONE, 16(2):e0246472, 2021

Reference 41

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Observation 43cd3a4c-105d-48b3-903b-fbae335ba7b2 · outbound

This paper cites Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings.European Radiology, 30:1359–1368, 2020.

From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings.European Radiology, 30:1359–1368, 2020

Reference 42

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Pith citing papers

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