Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning | Paper Citation Record

Observation 99252210-cf65-475b-b5ef-59a88ea4c1e7 · outbound

This paper cites Nature review s Disease primers 7(1), 33 (2021).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Nature review s Disease primers 7(1), 33 (2021)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:51.792122Z

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Observation 68b60451-60bb-4ef0-9f7c-4840522775ee · outbound

This paper cites : Mild cognitive impairment (mci) in medical practice: a critical review of the concept and new diagnostic procedure.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Mild cognitive impairment (mci) in medical practice: a critical review of the concept and new diagnostic procedure

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:51.727160Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5f4ba9c1-ed90-4c05-a786-222e1339c79f · outbound

This paper cites Alzh eimer’s & dementia 14(4), 535–562 (2018).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Alzh eimer’s & dementia 14(4), 535–562 (2018)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:51.636615Z

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Observation a98e2bbb-0d66-4b7d-a447-bec9beaa06e3 · outbound

This paper cites CNS spectrums 24(1), 78–87 (2019).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning CNS spectrums 24(1), 78–87 (2019)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:51.504738Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3dab7ab0-e91e-4328-9737-7777471dc9de · outbound

This paper cites : The heterogeneity of mild cognitive impairment: A neuropsychological analysis.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : The heterogeneity of mild cognitive impairment: A neuropsychological analysis

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:51.384775Z

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Observation 7e83e4fe-bbec-4941-b4a3-a9689624720a · outbound

This paper cites Alzheimer’s & Dementia 6(3), 239–246 (2010).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Alzheimer’s & Dementia 6(3), 239–246 (2010)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:51.306661Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7beefa60-b74c-4722-a073-c7c11defbc40 · outbound

This paper cites : Early versus late mci: Improved mci staging using a neuropsycholo gical approach.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Early versus late mci: Improved mci staging using a neuropsycholo gical approach

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:51.274738Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9b92e149-5909-4d9c-9035-e36cc826a9fd · outbound

This paper cites : Mild cognitive impairment–beyond controversies, towards a consensus: repor t of the interna- tional working group on mild cognitive impairment.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Mild cognitive impairment–beyond controversies, towards a consensus: repor t of the interna- tional working group on mild cognitive impairment

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:51.239199Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d30ac455-1642-4999-a96a-9dbcdb8adfa3 · outbound

This paper cites Dementia and geriatric cognitive disorders 28(6), 541–549 (2010).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Dementia and geriatric cognitive disorders 28(6), 541–549 (2010)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:51.146587Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bff1cbdd-7515-4959-a764-42092d9473a1 · outbound

This paper cites : Genetic data and cognitively deﬁned late-onset alzheimer’s disease subgroups.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Genetic data and cognitively deﬁned late-onset alzheimer’s disease subgroups

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:51.047260Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f292ea89-ff80-41b1-b46a-80e47f725970 · outbound

This paper cites an unresolved cited work.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:42:50.964123Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4e72f5b8-20a6-456f-b16f-7c6e5c12aa03 · outbound

This paper cites Alzheimer’s & Dementia 10(5), 511– 521 (2014).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Alzheimer’s & Dementia 10(5), 511– 521 (2014)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:50.860956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c52a6638-efcc-4ee6-9281-3fb726735a98 · outbound

This paper cites Nature communications 15(1), 354 (2024).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Nature communications 15(1), 354 (2024)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:50.725036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aeec614e-e3c7-4597-9674-5336212500f2 · outbound

This paper cites Brain 140(3), 735–747 (2017).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Brain 140(3), 735–747 (2017)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:50.631222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee7c2452-1223-43bc-8b05-67cfec7f58fa · outbound

This paper cites : Two progression patterns in alzheimer’s disease identiﬁed from structural mri in a me mory clinic- based cohort.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Two progression patterns in alzheimer’s disease identiﬁed from structural mri in a me mory clinic- based cohort

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:50.588135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 33938fc0-a49b-48fc-8f32-92e103698412 · outbound

This paper cites : A general- izable data-driven model of atrophy heterogeneity and progress ion in a memory clinic setting.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : A general- izable data-driven model of atrophy heterogeneity and progress ion in a memory clinic setting

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:50.467372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 009cd8a2-9591-40b1-878a-f5e6dbf97575 · outbound

This paper cites Alzheimer’s & Dementia 20(5), 3442–3454 (2024).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Alzheimer’s & Dementia 20(5), 3442–3454 (2024)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:50.374756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dadd24e7-f631-4433-8669-a22b90e6fd02 · outbound

This paper cites : Fdg-pet markers of heterogeneity and diﬀerent risk of progression in amnestic mci.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Fdg-pet markers of heterogeneity and diﬀerent risk of progression in amnestic mci

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:50.279522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a2db5d2a-b8a7-47ad-a99b-a1346746425f · outbound

This paper cites Neurology 76(6), 511–517 (2011).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Neurology 76(6), 511–517 (2011)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:50.206792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b4a327ce-2cdd-428f-8490-5f619b176736 · outbound

This paper cites Neurology 80(11), 1048–1056 (2013).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Neurology 80(11), 1048–1056 (2013)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:50.104755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dee3230c-08ff-4148-b11b-1c2fcf4cdec2 · outbound

This paper cites : A novel grading biomarker for the prediction of conversion from mild cognitive impairment to alzheimer’s disease.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : A novel grading biomarker for the prediction of conversion from mild cognitive impairment to alzheimer’s disease

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:50.024749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b8ab1225-56c2-4dd1-98dc-9bb3848d9626 · outbound

This paper cites Neurology 87(20), 2108–2116 (2016).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Neurology 87(20), 2108–2116 (2016)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:49.904753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 84074c38-a729-4541-87f7-b1df2b1588a0 · outbound

This paper cites : Genetic heterogeneity of four mci/ad neuroanatomical dimensions discovered via deep learning.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Genetic heterogeneity of four mci/ad neuroanatomical dimensions discovered via deep learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:49.784905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 03b88f9f-e4fa-41d5-a701-9ffa4e4918e9 · outbound

This paper cites Archives of Gerontology a nd Geriatrics 94, 104376 (2021).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Archives of Gerontology a nd Geriatrics 94, 104376 (2021)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:49.714753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f4bc43e0-636e-4ad8-b23c-cb15ca76c653 · outbound

This paper cites Alzheimer’s & Dementia 19(4), 1428–1439 (2023).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Alzheimer’s & Dementia 19(4), 1428–1439 (2023)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:49.584750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cc2e732b-4747-42e7-9f6f-93db90e8f617 · outbound

This paper cites Sauver, J.L ., Mielke, M.M., Geda, Y.E., Machulda, M.M., Knopman, D.S., Petersen, R.C., et al.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Sauver, J.L ., Mielke, M.M., Geda, Y.E., Machulda, M.M., Knopman, D.S., Petersen, R.C., et al

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:49.449982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 89999e91-8c3e-45ea-b369-7e6bb60076df · outbound

This paper cites : Atrophy patterns in early clinical stages across distinct phenoty pes of a lzheimer’s disease.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Atrophy patterns in early clinical stages across distinct phenoty pes of a lzheimer’s disease

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:49.304747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8b6eec11-232e-4667-aeb1-c3d986549b7c · outbound

This paper cites Medical Clin ics 97(3), 485–494 (2013).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Medical Clin ics 97(3), 485–494 (2013)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:49.186764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation df9f2449-ddbc-4ad1-a1a2-32d0eb479382 · outbound

This paper cites Journal of Molecular Neuroscience 20, 203–206 (2003).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Journal of Molecular Neuroscience 20, 203–206 (2003)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:49.114747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 73491f5e-4022-4028-a991-3bfb9978b968 · outbound

This paper cites https://mathworld.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning https://mathworld

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:48.968647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 48fe51fe-8c17-4d40-aabd-bc8dbc9de59f · outbound

This paper cites Neuroimage 115, 117–137 (2015).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Neuroimage 115, 117–137 (2015)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:48.835721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 42f36517-d553-48fb-b170-64c7e60d0b3b · outbound

This paper cites Gigascience 4(1), 13742–015 (2015).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Gigascience 4(1), 13742–015 (2015)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:48.714743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cba49bb4-709f-4edf-bea3-1aa5f79e90a8 · outbound

This paper cites PLoS computational biology 11(4), 1004219 (2015).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning PLoS computational biology 11(4), 1004219 (2015)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:48.604219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c4e776c-78b2-4707-b606-74090802e2bf · outbound

This paper cites In: Proceedings of the AAAI Conference on Artiﬁcial Intelligence, vol.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning In: Proceedings of the AAAI Conference on Artiﬁcial Intelligence, vol

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:48.476502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 833acb98-fc3a-4f82-8280-bc7a357258d3 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T16:42:46.115767Z

Source-reported events for the cited work

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Observation 77f1f98d-ab59-4a54-917c-f76784bd4a6e · outbound

This paper cites Cells 8(8), 826 (2019).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Cells 8(8), 826 (2019)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:48.421866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6401125b-16ea-4214-a513-c09603eb8466 · outbound

This paper cites Biomedic ine & Pharmacotherapy 143, 112187 (2021).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Biomedic ine & Pharmacotherapy 143, 112187 (2021)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:48.384612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d1dbb61a-e03a-4936-8c43-57b06f9e348d · outbound

This paper cites : Genetic analysis of vcp and wash complex genes in a german cohort of sporad ic als-ftd patients.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Genetic analysis of vcp and wash complex genes in a german cohort of sporad ic als-ftd patients

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:48.326099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4963ae7d-69b0-4aab-85c5-0ccd13629643 · outbound

This paper cites : Heterozygous capza2 mutations cause global developmental delay, hypotonia with epilepsy: a case r eport and the literature review.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Heterozygous capza2 mutations cause global developmental delay, hypotonia with epilepsy: a case r eport and the literature review

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:48.255401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6965cb65-c904-42b5-8f9c-0490d080800b · outbound

This paper cites Movement disorders: oﬃcial journal of the Movement Disorder So ciety 24(15), 2277–2281 (2009).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Movement disorders: oﬃcial journal of the Movement Disorder So ciety 24(15), 2277–2281 (2009)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:48.189062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 23350ba4-2304-49a4-9b9a-5849d2a39c3f · outbound

This paper cites Alzheimer ’s & Dementia 12, 1146–1146 (2016).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Alzheimer ’s & Dementia 12, 1146–1146 (2016)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:48.156670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c7b430b9-2d81-4b0d-b332-175b36ab2406 · outbound

This paper cites Genes 15(1), 87 (2024).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Genes 15(1), 87 (2024)

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:48.134749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82e8ccef-2cfa-4cea-8be3-47a0d187ce92 · outbound

This paper cites Autophagy 11(7), 1063–1080 (2015).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Autophagy 11(7), 1063–1080 (2015)

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:48.076968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 700c151c-44e8-485a-8409-9d461874a0ef · outbound

This paper cites Alzheimer’s & Dementia 14(11), 1460–1469 (2018).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Alzheimer’s & Dementia 14(11), 1460–1469 (2018)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:48.002636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 59a401c1-3da7-459e-b6d4-c6bf5808b68c · outbound

This paper cites : Csf biomarkers of alzheimer’s disease concord with amyloid- β pet and predict clinical progression: a study of fully automated immunoassays in bioﬁnder and adni cohort s.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Csf biomarkers of alzheimer’s disease concord with amyloid- β pet and predict clinical progression: a study of fully automated immunoassays in bioﬁnder and adni cohort s

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.958309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 66911663-a00c-4689-90d1-66213b698ff6 · outbound

This paper cites Alzheimer’s & Dementia 20(11), 8097–8112 (2024).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Alzheimer’s & Dementia 20(11), 8097–8112 (2024)

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.942558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 63d72901-ac8d-4884-bb1c-29cc04e75549 · outbound

This paper cites Alzheimer’s research & therapy 10, 1–10 (2018).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Alzheimer’s research & therapy 10, 1–10 (2018)

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.881154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 024fe2b6-ba96-4bf5-8cfe-b90544c93c08 · outbound

This paper cites JAMA neurology 76(7), 791–799 (2019).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning JAMA neurology 76(7), 791–799 (2019)

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.856976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e6092411-8dbe-4834-a279-2aed6173b9e1 · outbound

This paper cites : Diagnostic value of plasma phosphorylated tau181 in alzheimer’s disease and frontotem poral lobar degeneration.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Diagnostic value of plasma phosphorylated tau181 in alzheimer’s disease and frontotem poral lobar degeneration

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.842023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5d22dead-57e5-4f5c-b553-d1c24981041f · outbound

This paper cites Peptides 23(7), 1205–1214 (2002).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Peptides 23(7), 1205–1214 (2002)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.809366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6330f193-b187-4e49-b7ac-266ae47a1a40 · outbound

This paper cites Current Alzheimer Research 11(3), 274–282 (2014).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Current Alzheimer Research 11(3), 274–282 (2014)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.795446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fbb166c4-99dc-49d8-b376-932d1a8b56bc · outbound

This paper cites Cortex 48(4), 429–446 (2012).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Cortex 48(4), 429–446 (2012)

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.732158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f5ff3e03-c286-4810-b202-2abc4f2d88b4 · outbound

This paper cites Neurological Scie nces 45(3), 1017–1030 (2024).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Neurological Scie nces 45(3), 1017–1030 (2024)

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.629797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0d53e70c-74cf-4649-886f-c6a328618d52 · outbound

This paper cites Journal of advanced nursing 65(5), 922–933 (2009).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Journal of advanced nursing 65(5), 922–933 (2009)

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.605589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 628797dd-8565-47f8-8d35-0279b0bbd61f · outbound

This paper cites Dementia and Neurocognitive Disorders 19(3), 77 (2020).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Dementia and Neurocognitive Disorders 19(3), 77 (2020)

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.516975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aeed244c-ac02-47a2-918d-2a78cc0cf126 · outbound

This paper cites Neurology 70(4), 299–303 (2008).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Neurology 70(4), 299–303 (2008)

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.494416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 29698e29-c61f-4d3e-9fac-b52e9659081d · outbound

This paper cites : A cytogenetic abnormality and rare coding variants identify abca13 as a candidate gene in schizophrenia, bipolar disorder, and depression.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : A cytogenetic abnormality and rare coding variants identify abca13 as a candidate gene in schizophrenia, bipolar disorder, and depression

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.393264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 97be716b-f3e7-4eda-a435-a6f21c6ef8b2 · outbound

This paper cites Schiz ophrenia bulletin 44(5), 958–965 (2018).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Schiz ophrenia bulletin 44(5), 958–965 (2018)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.304912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9063be49-0785-4585-a26b-1208e51fd41f · outbound

This paper cites Neuroim- age 11(6), 805–821 (2000).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Neuroim- age 11(6), 805–821 (2000)

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.262176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d0e45d50-49fa-49b1-908a-59ae4e0ddf21 · outbound

This paper cites Neuroimage 15(1), 273–289 (2002).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Neuroimage 15(1), 273–289 (2002)

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.146595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9d8c3800-3256-46fc-9421-95e1b8b0f4b6 · outbound

This paper cites Nature neuroscience 24(9), 1313–1323 (2021).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Nature neuroscience 24(9), 1313–1323 (2021)

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.104349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4e3b50ac-249f-4ff9-b4f4-ca0df70c60ff · outbound

This paper cites Science 369(6509), 1318–1330 (2020).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Science 369(6509), 1318–1330 (2020)

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.063757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ec7c99b-002a-4e08-b349-bf4313c30b31 · outbound

This paper cites : Eye-gaze guided multi-modal alignment for medical representa- tion learning.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning : Eye-gaze guided multi-modal alignment for medical representa- tion learning

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:47.013269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ef97d63d-91fc-4a15-abc0-1290fc5beb18 · outbound

This paper cites IEEE Transactio ns on Medical Imaging 41(9), 2348–2359 (2022).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning IEEE Transactio ns on Medical Imaging 41(9), 2348–2359 (2022)

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:46.983704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c95b2eb-13d7-4432-97f6-703fe7b6f7da · outbound

This paper cites In: 202 1 IEEE International Conference on Data Mining (ICDM), pp.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning In: 202 1 IEEE International Conference on Data Mining (ICDM), pp

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:46.951601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0479bed5-d4e4-4abc-a1f9-7662f60931d8 · outbound

This paper cites In: Proceedings of the IEEE I nternational Conference on Computer Vision, pp.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning In: Proceedings of the IEEE I nternational Conference on Computer Vision, pp

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:46.929743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 30c3c5a6-58fa-46c8-8a9f-375f41d23725 · outbound

This paper cites Molecular psychiatry 28(6), 2423–2432 (2023).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Molecular psychiatry 28(6), 2423–2432 (2023)

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:46.908304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2a38142b-e0dd-459b-88db-c400a462f104 · outbound

This paper cites Advances in neural information processing systems 33, 18661–18673 (2020).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Advances in neural information processing systems 33, 18661–18673 (2020)

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:46.885326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 29a6f7b3-4995-4108-95b6-b55f50fab06a · outbound

This paper cites In: Pr oceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning In: Pr oceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:46.861903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b0b5c496-77d3-4836-98db-82940987a694 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern R ecognition, pp.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern R ecognition, pp

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:46.835611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 429438ed-5981-4328-9434-877f406da383 · outbound

This paper cites Advances in neural information processing systems 37, 103031–103063 (2025).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Advances in neural information processing systems 37, 103031–103063 (2025)

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:46.815921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2fec81f7-fc61-4e98-9977-b82201104b67 · outbound

This paper cites IEEE transactions on medical imag ing 39(11), 3416–3428 (2020).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning IEEE transactions on medical imag ing 39(11), 3416–3428 (2020)

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:46.789751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 65b5ef42-9433-42fd-a1a2-3fe69f6bd15d · outbound

This paper cites NeuroImage: Clinical 31, 102750 (2021).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning NeuroImage: Clinical 31, 102750 (2021)

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:46.756894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 01afecfc-8469-45aa-aaa1-53b2839c2774 · outbound

This paper cites Molecular neurodegeneration 6, 1–9 (2011).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Molecular neurodegeneration 6, 1–9 (2011)

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:46.733836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 501684ec-515e-4e9b-9240-1ff21b943988 · outbound

This paper cites Annals of n eurology 49(4), 433–442 (2001).

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Annals of n eurology 49(4), 433–442 (2001)

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:46.691680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a8fce053-0397-40c8-bb5e-0d5d1e86ed45 · outbound

This paper cites Archives of neurology 50(9), 949–954 (1993) 33.

Comprehensively stratifying MCIs into distinct risk subtypes based on brain imaging genetics fusion learning Archives of neurology 50(9), 949–954 (1993) 33

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:46.656531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers