Paper Citation Record · LEDGER

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification

As of 22 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:1909.01940.

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

pith.paper-citation-record.v1
1909.01940 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:27:22.444593Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

verified exact1
verified fuzzy11
unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ce916c3-7308-4a92-99a1-e02a9082cc6e · outbound

This paper cites Medical physics 45(3) (2018).

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification Medical physics 45(3) (2018)

Reference 1

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Observation 36b6ce26-1233-479f-a8a1-5f9f018fa721 · outbound

This paper cites an unresolved cited work.

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification Unresolved cited work

Reference 2

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Observation edede88a-7030-4313-b20e-0c3c71f728a5 · outbound

This paper cites In: Pro- ceedings of the International Workshop on Machine Learning in Medical Imaging.

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification In: Pro- ceedings of the International Workshop on Machine Learning in Medical Imaging

Reference 3

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Observation 5a1a1d63-e655-43bb-9fe3-ee909b2f41fc · outbound

This paper cites https://doi.org/10.5152/dir.2016.16187.

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification https://doi.org/10.5152/dir.2016.16187

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-14T05:27:22.639004Z

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Observation b3c0b6b0-7688-48d7-a2bb-9f1bbf55c255 · outbound

This paper cites In: Proceedings of the 27th International Joint Conference on Artiﬁcial Intelligence.

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification In: Proceedings of the 27th International Joint Conference on Artiﬁcial Intelligence

Reference 5

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Observation c4e0fbf0-5d8c-4050-8381-be137758e5bd · outbound

This paper cites The Journal of Machine Learning Research 17(1) (Apr 2016).

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification The Journal of Machine Learning Research 17(1) (Apr 2016)

Reference 6

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Source-reported events for the cited work

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Observation 25c97772-93f3-4d9d-ad3f-f8d3aa189ea4 · outbound

This paper cites In: Proceedings of the International Medical Image Computing and Computer Assisted Intervention Brainlesion Workshop.

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification In: Proceedings of the International Medical Image Computing and Computer Assisted Intervention Brainlesion Workshop

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:27:22.739624Z

Source-reported events for the cited work

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Observation 56c9bcd1-03cb-415d-95fb-4c31f667a093 · outbound

This paper cites Clinical Cancer Research 7(1), 5–22 (2001).

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification Clinical Cancer Research 7(1), 5–22 (2001)

Reference 8

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Observation ad0e8e6b-2d75-4ce7-8861-46cd2493310a · outbound

This paper cites In: Proceedings of the International Conference on Machine Learning.

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification In: Proceedings of the International Conference on Machine Learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:27:22.712908Z

Source-reported events for the cited work

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Observation 96c954d6-5ba0-4b0c-940f-3770ae156eec · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 10

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Source-reported events for the cited work

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Observation bea702d7-35ec-4394-8810-b27f1ede332b · outbound

This paper cites CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison.

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Reference 11

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Observation d2ba42e3-fd85-466a-8cd6-4e13306b5d66 · outbound

This paper cites In: Proceedings of the 15th International Sym- posium on Biomedical Imaging.

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification In: Proceedings of the 15th International Sym- posium on Biomedical Imaging

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:27:22.691550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fd267f94-ad51-4efe-a9ea-1a92cc5b9b8c · outbound

This paper cites MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 13

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Source-reported events for the cited work

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Observation efd13354-80bd-451b-96ea-48df9c93ecc9 · outbound

This paper cites Medical Image Analysis 42, 60–88 (Dec 2017).

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification Medical Image Analysis 42, 60–88 (Dec 2017)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:27:22.679903Z

Source-reported events for the cited work

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Observation 2a79c67c-a840-4b47-84d6-3b0ab6df69de · outbound

This paper cites In: IEEE 15th International Sym- posium on Biomedical Imaging (ISBI 2018).

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification In: IEEE 15th International Sym- posium on Biomedical Imaging (ISBI 2018)

Reference 15

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Observation bf9da5ca-e8b8-448d-bbef-aa046be625fd · outbound

This paper cites IEEE Transactions on Medical Imaging 37, 10 (Jun 2018) 10 Pooch et al.

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification IEEE Transactions on Medical Imaging 37, 10 (Jun 2018) 10 Pooch et al

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:27:22.666940Z

Source-reported events for the cited work

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Observation b7f6359d-f5c3-4362-82a2-7fd6a68fb5e9 · outbound

This paper cites Exploring large scale public medical image datasets.

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification Exploring large scale public medical image datasets

Reference 17

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Source-reported events for the cited work

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Observation 9e370f37-dfb6-4a02-9d7a-b906e24d08a6 · outbound

This paper cites CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning.

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Reference 18

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Observation fcf385a2-2914-435e-a865-c910119cb7d1 · outbound

This paper cites In: Proceedings of the Conference on Computer Vision and Pattern Recognition.

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification In: Proceedings of the Conference on Computer Vision and Pattern Recognition

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:27:22.651950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0d94a14b-0088-4bf2-88f9-6ac9d4622335 · outbound

This paper cites ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases.

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T05:27:22.444593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.