Paper Citation Record · LEDGER

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images

As of 15 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2505.23528.

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

pith.paper-citation-record.v1
2505.23528 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:47:36.810705Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

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

28 of 28 outbound references displayed

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verified fuzzy27
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f434b90-8407-4f6c-8882-0710c897d0db · outbound

This paper cites Diversity and disparity in dementia: the impact of ethnoracial differences in alzheimer disease,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Diversity and disparity in dementia: the impact of ethnoracial differences in alzheimer disease,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:42.360319Z

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Observation 49114a85-edd6-4890-994b-7997a8cfa35e · outbound

This paper cites Unraveling gender fairness analysis in deep learning prediction of alzheimer’s disease,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Unraveling gender fairness analysis in deep learning prediction of alzheimer’s disease,

Reference 2

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Observation bd2c4ced-d2aa-4f92-8cd0-d5586948c65c · outbound

This paper cites Machine learning in neuroimaging: Progress and challenges,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Machine learning in neuroimaging: Progress and challenges,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:42.018531Z

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Observation ef95ad8c-c2b2-4641-bfc1-2e37f4e7449a · outbound

This paper cites Adapting machine learning diagnostic models to new populations using a small amount of data: Results from clinical neuroscience,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Adapting machine learning diagnostic models to new populations using a small amount of data: Results from clinical neuroscience,

Reference 4

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Observation c8a8d679-5e21-473b-b3f6-00d0705fb37b · outbound

This paper cites Addressing fairness issues in deep learning-based medical image analysis: a systematic review,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Addressing fairness issues in deep learning-based medical image analysis: a systematic review,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:41.720657Z

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Observation 90f48f75-ba7e-4eb5-8b6b-fc699d723a96 · outbound

This paper cites Sex and gender considerations in dementia: a call for global research,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Sex and gender considerations in dementia: a call for global research,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:41.549694Z

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Observation 48c94a24-2fea-4b00-b97a-ea34497e141f · outbound

This paper cites MEDFAIR: Benchmarking Fairness for Medical Imaging.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images MEDFAIR: Benchmarking Fairness for Medical Imaging

Reference 7

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Source-reported events for the cited work

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Observation 891a5962-7221-4e16-8853-8158968564a8 · outbound

This paper cites What’s fair about individual fairness?,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images What’s fair about individual fairness?,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:41.301386Z

Source-reported events for the cited work

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Observation 68d8238f-534b-490d-8744-c13b8048ea4b · outbound

This paper cites Counterfactual fairness,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Counterfactual fairness,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:41.082484Z

Source-reported events for the cited work

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Observation ab5800cd-e185-49db-9b24-44cb6a3c8509 · outbound

This paper cites Using explainability for bias mitigation: A case study for fair recruitment assessment,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Using explainability for bias mitigation: A case study for fair recruitment assessment,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:40.893137Z

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 2987b2d2-25b5-4493-b2b3-f3fcfb8fd88f · outbound

This paper cites Fair machine learning in healthcare: A survey,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Fair machine learning in healthcare: A survey,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:40.688528Z

Source-reported events for the cited work

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Observation 6c88485c-d426-4471-8307-8eddfbee4a58 · outbound

This paper cites Algorithmic fairness of machine learning models for alzheimer disease progression,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Algorithmic fairness of machine learning models for alzheimer disease progression,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:40.454137Z

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 686325db-1312-450d-ae56-55361476a6ed · outbound

This paper cites Feature robustness and sex differences in medical imaging: a case study in mri-based alzheimer’s disease detection,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Feature robustness and sex differences in medical imaging: a case study in mri-based alzheimer’s disease detection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:40.236989Z

Source-reported events for the cited work

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Observation 2de7aa2f-f5e5-426a-87d2-2bcb73674cd1 · outbound

This paper cites Auditing unfair biases in cnn-based diagnosis of alzheimer’s disease,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Auditing unfair biases in cnn-based diagnosis of alzheimer’s disease,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:40.053660Z

Source-reported events for the cited work

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Observation e13d0968-1501-4366-914a-b267da6ed89b · outbound

This paper cites Is there a trade-off between fairness and accuracy? a perspective using mismatched hypothesis testing,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Is there a trade-off between fairness and accuracy? a perspective using mismatched hypothesis testing,

Reference 15

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Source-reported events for the cited work

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Observation e65b212c-932c-47d2-9ac7-31eedf193557 · outbound

This paper cites Accurate fairness: Improving individual fairness without trading accuracy,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Accurate fairness: Improving individual fairness without trading accuracy,

Reference 16

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Observation aa8af04b-8e50-48b8-b2e0-01bc92b46335 · outbound

This paper cites Optimizing fairness and accuracy: a pareto optimal approach for decision-making,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Optimizing fairness and accuracy: a pareto optimal approach for decision-making,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:39.348965Z

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Observation bfaa0316-4002-480c-bff2-07bdadd63e39 · outbound

This paper cites Habes, R.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Habes, R

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:39.166997Z

Source-reported events for the cited work

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Observation c2f5a5a3-2043-435f-a274-d7c0f275001c · outbound

This paper cites Muse: Multi-atlas region segmentation utilizing ensembles of registration algo- rithms and parameters, and locally optimal atlas selection,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Muse: Multi-atlas region segmentation utilizing ensembles of registration algo- rithms and parameters, and locally optimal atlas selection,

Reference 19

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Source-reported events for the cited work

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Observation 626261a9-a682-447c-ab15-d052c47b8a3b · outbound

This paper cites Harmonization of large multi-site imaging datasets: Application to 10,232 mris for the analysis of imaging patterns of structural brain change throughout the lifespan,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Harmonization of large multi-site imaging datasets: Application to 10,232 mris for the analysis of imaging patterns of structural brain change throughout the lifespan,

Reference 20

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Observation 4c54e299-3acd-495d-9257-67fceb977fe0 · outbound

This paper cites A comprehensive interpretable machine learning framework for mild cognitive impairment and alzheimer’s disease diagnosis,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images A comprehensive interpretable machine learning framework for mild cognitive impairment and alzheimer’s disease diagnosis,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:38.558752Z

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Observation 8d17b809-c09b-4cc3-97f2-1818fdc12caa · outbound

This paper cites Mitigating unwanted biases with adversarial learning,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Mitigating unwanted biases with adversarial learning,

Reference 22

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Observation 1fa06bc4-3194-47f5-872e-cc497607dff4 · outbound

This paper cites Ai fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Ai fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:38.182839Z

Source-reported events for the cited work

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This paper cites Decision theory for discrimination-aware classification,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Decision theory for discrimination-aware classification,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:38.005060Z

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This paper cites Structural mri predictors of late-life cognition differ across african americans, hispanics, and whites,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Structural mri predictors of late-life cognition differ across african americans, hispanics, and whites,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:37.800564Z

Source-reported events for the cited work

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Observation cefe7da1-28cc-4e4f-ab63-cc1058b5c413 · outbound

This paper cites Sex and gender differences in cognitive and brain reserve: Implications for alzheimer’s disease in women,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Sex and gender differences in cognitive and brain reserve: Implications for alzheimer’s disease in women,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:37.615295Z

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Observation c644ebf4-74a8-4a2a-9880-49c39f24fafc · outbound

This paper cites Sex differences in brain mri using deep learning toward fairer healthcare outcomes,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Sex differences in brain mri using deep learning toward fairer healthcare outcomes,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:37.358191Z

Source-reported events for the cited work

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Observation f708ce35-1974-4660-a1c5-ac207203c714 · outbound

This paper cites Counterfactual fairness is basically demographic parity,.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images Counterfactual fairness is basically demographic parity,

Reference 28

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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.

Pith citing papers

No inbound Pith citation observations are available.