Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:38:57.346981Z
Paper Citation Record · LEDGER
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays
As of 15 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2507.07722.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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
Reference resolution
66 of 66 outbound references displayed
- verified exact3
- verified fuzzy49
- unresolved14
- parse uncertain0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2e925df9-7391-477b-893b-b95a3eb0e6a7 · outbound
This paper cites Arias-Garz ´on, R.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Arias-Garz ´on, R
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 574c0647-8768-4760-9765-a32e80a6fd04 · outbound
This paper cites The effects of regularization and data augmentation are class de- pendent, 2022.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays The effects of regularization and data augmentation are class de- pendent, 2022
Reference 2
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 70d07267-b5f4-496a-bc16-7d54abe7e8b7 · outbound
This paper cites Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:38:58.181255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 24a066dd-6cca-4c5b-a7ff-c834e7628cb9 · outbound
This paper cites "Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays "Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT
Reference 4
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ffb8afdd-8cf5-4594-8075-b872ef2931db · outbound
This paper cites an unresolved cited work.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Unresolved cited work
Reference 5
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fc6320e8-6085-4429-b3ce-f88e43e6b0d1 · outbound
This paper cites an unresolved cited work.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Unresolved cited work
Reference 6
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 29356327-cff6-461e-b6b4-24252efb778c · outbound
This paper cites Jorge Cardoso and Wenqi Li et al.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Jorge Cardoso and Wenqi Li et al
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:14.954536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9b27e1de-07cf-4d6b-b059-6e69a158e7c8 · outbound
This paper cites an unresolved cited work.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Unresolved cited work
Reference 8
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 543ca425-c602-4a5b-aa59-4839c5cda385 · outbound
This paper cites Sources of bias in artificial in- telligence that perpetuate healthcare disparities—a global re- view.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Sources of bias in artificial in- telligence that perpetuate healthcare disparities—a global re- view
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b25edc70-8d01-43c5-86f7-e00058c6c3e7 · outbound
This paper cites Viviano, Paul Bertin, Paul Morrison, Parsa Torabian, Matteo Guarrera, Matthew P Lungren, Akshay Chaudhari, Rupert Brooks, Mohammad Hashir, and Hadrien Bertrand.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Viviano, Paul Bertin, Paul Morrison, Parsa Torabian, Matteo Guarrera, Matthew P Lungren, Akshay Chaudhari, Rupert Brooks, Mohammad Hashir, and Hadrien Bertrand
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:14.214955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b05756d4-65ba-401d-b060-abbfcc38a52e · outbound
This paper cites an unresolved cited work.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Unresolved cited work
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9e70ec32-9537-4f57-9132-4b561e6c5e8f · outbound
This paper cites Re- producibility in machine learning for medical imaging.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Re- producibility in machine learning for medical imaging
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:13.752751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4e4f10a2-4392-4bc8-b4d7-ca73cbf860dc · outbound
This paper cites Cubuk, Barret Zoph, Jonathon Shlens, and Quoc V.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Cubuk, Barret Zoph, Jonathon Shlens, and Quoc V
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bfc1741e-c84f-4511-86b1-916f6b3c802b · outbound
This paper cites Omar Adil Deheyab and et al.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Omar Adil Deheyab and et al
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 120075ab-1ebf-4203-b8c1-6af3dce5dce1 · outbound
This paper cites Kohli, Marc B.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Kohli, Marc B
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5a40ae5e-ef21-4a09-b3ed-4725630792df · outbound
This paper cites Imagenet: A large-scale hierarchical image database.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Imagenet: A large-scale hierarchical image database
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cdc20427-31b2-40d2-b8c7-03e93b158711 · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays An image is worth 16x16 words: Transformers for image recognition at scale
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:12.608651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 10390638-733f-482b-9e3e-94990cc8cd49 · outbound
This paper cites A survey on bias in visual datasets.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays A survey on bias in visual datasets
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:12.377460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ea96d9ec-83a7-4a7c-b55a-e82d61fbd1a6 · outbound
This paper cites Torchcam: class activation explorer.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Torchcam: class activation explorer
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:12.206209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e9c55865-0d21-4f9f-9cef-85dfbf59a1ac · outbound
This paper cites an unresolved cited work.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Unresolved cited work
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e7d0e434-814f-4977-98c5-438e3cbe9dda · outbound
This paper cites Public covid-19 x-ray datasets and their impact on model bias – a systematic review of a significant problem.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Public covid-19 x-ray datasets and their impact on model bias – a systematic review of a significant problem
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c2037d60-6e79-4c5e-a828-73bf3075a358 · outbound
This paper cites Wichmann, and Wieland Brendel.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Wichmann, and Wieland Brendel
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:11.579533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 99cd261a-78da-43cc-899a-4d2ce07c0851 · outbound
This paper cites Risk of bias in chest radiography deep learning foundation models.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Risk of bias in chest radiography deep learning foundation models
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:11.387767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4febfe03-f663-454d-b672-f8ec02259975 · outbound
This paper cites Curran, and Brian Mac Namee.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Curran, and Brian Mac Namee
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:11.193259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ff34ed2b-343b-40d4-ad66-cf0273b8600b · outbound
This paper cites Deep residual learning for image recognition.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Deep residual learning for image recognition
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:10.855829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7c6cf670-9794-45a1-955c-9ff42c303379 · outbound
This paper cites Shen, George Shih, Ronald M.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Shen, George Shih, Ronald M
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:08.146111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4a7033c1-5783-49f0-a013-02444d63849b · outbound
This paper cites an unresolved cited work.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Unresolved cited work
Reference 27
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bc91c7b3-58cb-46c8-8672-9d38df8887ed · outbound
This paper cites W´ang, Pu-Xuan Lu, and George Thoma.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays W´ang, Pu-Xuan Lu, and George Thoma
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 19c5616d-174c-46f7-97c5-93eef774fbc0 · outbound
This paper cites an unresolved cited work.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Unresolved cited work
Reference 29
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 777547d7-3c32-4e76-9c85-1b1809368f68 · outbound
This paper cites Castro, Filipe De Sousa Ribeiro, et al.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Castro, Filipe De Sousa Ribeiro, et al
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:07.020396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 265c8582-0c6d-4b66-ab2e-09c5d0775aac · outbound
This paper cites Efros, Antonio Torralba, et al.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Efros, Antonio Torralba, et al
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4353f6ef-1ebf-4067-8ac1-75ae7f5d9920 · outbound
This paper cites Imagenet classification with deep convolutional neural net- works.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Imagenet classification with deep convolutional neural net- works
Reference 32
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 61ec0446-6631-43fe-b91c-62e05fdb659f · outbound
This paper cites Falet, Sotirios Tsaftaris, and Tal Arbel.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Falet, Sotirios Tsaftaris, and Tal Arbel
Reference 33
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ca331693-4c5c-450f-8163-c50fb5565588 · outbound
This paper cites A Structure-Aware Rela- tion Network for Thoracic Diseases Detection and Segmen- tation.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays A Structure-Aware Rela- tion Network for Thoracic Diseases Detection and Segmen- tation
Reference 34
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a4c2d6cf-8806-41b9-b72f-2ba4e2ba82d5 · outbound
This paper cites A Decade's Battle on Dataset Bias: Are We There Yet?.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays A Decade's Battle on Dataset Bias: Are We There Yet?
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d759b435-a173-4a41-990c-533a4315e4da · outbound
This paper cites Steiner, Joshua J.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Steiner, Joshua J
Reference 36
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8a919262-4883-414b-ad40-fa997fd17a25 · outbound
This paper cites Mosquera and et al.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Mosquera and et al
Reference 37
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e436d391-9b4b-41fd-b26a-2ccff031c128 · outbound
This paper cites Intriguing properties of vision transformers, 2021.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Intriguing properties of vision transformers, 2021
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:05.344047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7c20df8b-f847-443d-9566-d5e2c3933f65 · outbound
This paper cites an unresolved cited work.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Unresolved cited work
Reference 39
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ce754e9b-a5f1-412c-911d-6d0a8c22d6a2 · outbound
This paper cites Nguyen, Khanh Lam, Linh T.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Nguyen, Khanh Lam, Linh T
Reference 40
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b293ca5a-c23e-4331-b2b1-3486254bdfd9 · outbound
This paper cites How do vision transformers work?, 2022.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays How do vision transformers work?, 2022
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:04.497357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3ec6560a-8609-4f86-9c7b-c08faca47ab5 · outbound
This paper cites Hauglid, Marzia Fumagalli, Lena Petersson, Anagha P.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Hauglid, Marzia Fumagalli, Lena Petersson, Anagha P
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:04.299359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5366cc49-6d7a-48e0-a68f-55ae927474ac · outbound
This paper cites Ritor´e and et al.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Ritor´e and et al
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:04.149250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0401fbcd-2997-4dd2-9c40-ad91b1f38c9d · outbound
This paper cites Common pitfalls and recommen- dations for using machine learning to detect and prognosti- cate for covid-19 using chest radiographs and ct scans.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Common pitfalls and recommen- dations for using machine learning to detect and prognosti- cate for covid-19 using chest radiographs and ct scans
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:03.944269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d64dde70-eb57-4708-9672-21d5443be187 · outbound
This paper cites Mitigating bias in radiology ma- chine learning: 1.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Mitigating bias in radiology ma- chine learning: 1
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:03.695150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 605baa2e-dbb3-4aa0-b293-fca625918591 · outbound
This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Grad-cam: Visual explanations from deep networks via gradient-based localization
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:03.398511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2960bf3c-f3aa-4398-9904-ef01bb41a665 · outbound
This paper cites an unresolved cited work.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T18:39:03.200403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f29c6e94-aacf-4536-a5bc-a6588fb68b93 · outbound
This paper cites an unresolved cited work.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T18:39:03.019475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d62f23ab-de12-459f-8556-f7c2e1f1acb5 · outbound
This paper cites an unresolved cited work.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Unresolved cited work
Reference 49
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 89d05cc2-eaef-4f19-bf2b-b880ee66c48d · outbound
This paper cites How to train your vit? data, augmentation, and regularization in vision transformers, 2022.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays How to train your vit? data, augmentation, and regularization in vision transformers, 2022
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:02.516736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7dcdc409-6f0a-414d-be14-50f92cf22df5 · outbound
This paper cites Going deeper with convolutions.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Going deeper with convolutions
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:02.292464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8990360a-cd1f-487c-ae8c-136503a9175a · outbound
This paper cites Expert-level de- tection of pathologies from unannotated chest x-ray images via self-supervised learning.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Expert-level de- tection of pathologies from unannotated chest x-ray images via self-supervised learning
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:02.003065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4ea34fbe-781c-42e2-bb29-6abfb9ca145b · outbound
This paper cites A Deeper Look at Dataset Bias, pages 37–.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays A Deeper Look at Dataset Bias, pages 37–
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:01.741693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 19d1acad-1536-4c03-975b-aea4e32a1c2d · outbound
This paper cites an unresolved cited work.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Unresolved cited work
Reference 54
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0b9e9f81-0f1a-47b3-b3c4-863ff657d705 · outbound
This paper cites an unresolved cited work.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Unresolved cited work
Reference 55
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ae385f1e-9b99-4d83-b192-57fb6c4ef7e4 · outbound
This paper cites Chen, Drew F.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Chen, Drew F
Reference 56
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bea55c93-8d74-419b-814d-c27913336ea5 · outbound
This paper cites Chestx- ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of com- mon thorax diseases.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Chestx- ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of com- mon thorax diseases
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:00.635035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 36f52670-4f77-406a-aa28-7daabaca21e6 · outbound
This paper cites Delving into masked autoencoders for multi-label thorax dis- ease classification.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Delving into masked autoencoders for multi-label thorax dis- ease classification
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:00.279727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8f796505-7382-4857-b836-792a7df2d65e · outbound
This paper cites Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:38:57.639017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8b7687a4-7c86-4d34-9904-5da276798fab · outbound
This paper cites Gichoya, et al.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Gichoya, et al
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:39:00.010462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a8ab0270-7041-4bae-9e22-9220d875e341 · outbound
This paper cites Cutmix: Regu- larization strategy to train strong classifiers with localizable features.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Cutmix: Regu- larization strategy to train strong classifiers with localizable features
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:38:59.696922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b3eb29c3-85ce-4692-9121-67e9f29a474e · outbound
This paper cites Understanding bias in large-scale visual datasets.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Understanding bias in large-scale visual datasets
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:38:59.461066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 66fe675e-7c44-44c6-a786-21221c68be17 · outbound
This paper cites Dauphin, and David Lopez-Paz.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Dauphin, and David Lopez-Paz
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:38:59.174940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1dfaeec2-faaa-465a-a372-ec2942b41e4b · outbound
This paper cites Learning deep features for discrimi- native localization.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Learning deep features for discrimi- native localization
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:38:58.946585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cb3cb915-57e3-4114-b70b-0c3bb08aa6f6 · outbound
This paper cites As a comparison, we now generate heatmaps by averaging the Grad-CAMs computed across all model layers of the best-performing model.
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays As a comparison, we now generate heatmaps by averaging the Grad-CAMs computed across all model layers of the best-performing model
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:38:58.731555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 61b0e3e2-bd42-4b10-85c0-f4b87e2fbad8 · outbound
This paper cites Our experiments evaluate these transformations using two distinct application probabilities: P = 0.2 (conservative) and P = 0.5 (aggressive).
Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays Our experiments evaluate these transformations using two distinct application probabilities: P = 0.2 (conservative) and P = 0.5 (aggressive)
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:38:58.426800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.