Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T07:42:25.137813Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T07:42:25.137813Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
42 of 42 outbound references displayed
External citation measurements
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Observation 9693ef2c-69dc-47b2-bb6d-6bfe8db7d51b · outbound
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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Observation 6b23e5b3-e79f-4aa0-a802-9437a1a8ed5a · outbound
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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Observation 0991541a-ffec-4632-ac60-43d439687f61 · outbound
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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Observation 59c281b1-46ad-48db-a956-a9e259308c7a · outbound
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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Observation a30a952e-8305-47fc-a978-834104fa1170 · outbound
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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Observation dd36b456-5769-4b70-adc7-a0a876c4d7b9 · outbound
From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Reference 6
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Observation 51f1e368-2251-40c5-b71d-30d633877b8a · outbound
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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Observation 4b3f8cb3-f532-4cab-9298-d94174f75391 · outbound
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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Observation 7f57c60b-da62-480f-a1e2-0ab6351f258c · outbound
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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Observation 5a955bb2-6e49-4d7c-be7f-3f414fd3722e · outbound
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Reference 10
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Observation 7eb78d0a-8c1c-46e0-a94c-c95de9e1319c · outbound
From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
Reference 11
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Observation b6709137-c45e-4e90-8a86-88ea5269d9da · outbound
From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand PadChest: A large chest x-ray image dataset with multi-label annotated reports
Reference 12
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Observation 4ff77471-d0d5-4939-a7dd-ab7ae7153b49 · outbound
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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Observation f67f57d0-ee4f-4d4d-963f-ece315b5339c · outbound
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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Observation 1e186984-172b-4bdc-b81f-cd86a9dc1109 · outbound
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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Observation e7927d2e-b3fe-473d-93f1-38e7f37f9a0c · outbound
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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Observation 80474759-5fde-449b-bda9-92fb56079e6a · outbound
From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand Weakly Supervised Lesion Localization With Probabilistic-CAM Pooling
Reference 17
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Observation be78b4be-a0e1-4112-bb2e-fee54f7e4f39 · outbound
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 to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks
Reference 18
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Observation bffa0cf9-5b2b-4b24-8b9c-289450ad339e · outbound
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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Observation ea07b2f3-b0dd-4711-a100-f8a995b690e3 · outbound
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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Observation 909d730f-cf32-4ae9-8f0b-97c5c0d31c0c · outbound
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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Observation fdc459ae-b51e-4278-83c5-920e6827417c · outbound
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 22
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Observation 4ae9041a-f0d6-4e7c-9f33-058c458dfaaf · outbound
Reference 23
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Observation e87b71b1-1af9-4f84-a4c5-69ed824fced4 · outbound
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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Observation d3a77f3d-d66f-4fd9-8c93-dc1ef466b31a · outbound
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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Observation 2d92a2fe-978e-4036-953e-45ecad42f6e6 · outbound
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
Reference 26
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Observation 84c6cdba-7575-4e05-be3b-3c7a00c83250 · outbound
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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Observation ac27eb6b-56ff-460f-8854-eba81d9d501f · outbound
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 28
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Observation 2fca085e-fda0-4a9e-9c62-77c0469a30a0 · outbound
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
Reference 29
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Observation ef1ece14-a86f-4c65-8e15-3cb962296668 · outbound
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
Reference 30
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Observation a3d9e54c-bca9-47ba-b5ec-094f32271119 · outbound
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 31
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Observation 16edff6b-3505-40d9-85b5-637dcb404506 · outbound
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 32
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Observation 98e6908f-d371-4923-8211-74604da680b2 · outbound
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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Observation d217b2af-1019-48d9-a140-fd8304114f45 · outbound
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
Reference 34
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Observation dabfcc4c-f965-4509-9d37-37123f6dbe15 · outbound
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
Reference 35
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Observation 77273d83-8753-4ae8-9091-98abad507d9a · outbound
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
Reference 36
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Observation 9126432f-7351-47c0-8f9f-1e0d0a98d9b7 · outbound
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
Reference 37
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Observation 76cf0a0d-7f15-47c2-a645-79936e690784 · outbound
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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Observation 9cea0246-2f7b-463b-b562-1caa51e58a79 · outbound
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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Observation e6b029ae-95b8-41fd-b5e3-9fba112f67fb · outbound
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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Observation 2c7f9f2f-d511-4cfa-a6ce-5f8af2e0f5e1 · outbound
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
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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No inbound Pith citation observations are available.