Paper Citation Record · LEDGER

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor

As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2506.17597.

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

pith.paper-citation-record.v1
2506.17597 v1

Coverage vector

measured 36 of 36 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

36 of 36 outbound references displayed

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External citation measurements

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Outbound references

Observation cdb58229-8415-4b11-a27e-55f24488a1f0 · outbound

This paper cites an unresolved cited work.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Unresolved cited work

Reference 1

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Observation f5f13c8d-1a15-4f6f-beb4-fbb7c4ef58e7 · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor BEiT: BERT Pre-Training of Image Transformers

Reference 2

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Observation 13a32b61-ee27-404b-a614-97a92bb2ad24 · outbound

This paper cites Mri signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide.Brain, 143(7):2312–2324, 2020.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Mri signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide.Brain, 143(7):2312–2324, 2020

Reference 3

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Observation b639d447-b409-409d-8d98-c4e17fd44a5f · outbound

This paper cites The significance of caudate volume for age-related associative memory decline.brain research, 1622:137–148, 2015.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor The significance of caudate volume for age-related associative memory decline.brain research, 1622:137–148, 2015

Reference 4

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Observation 24d4a148-d90b-48b2-8b24-f273065ca7c9 · outbound

This paper cites A Short Note on the Kinetics-700 Human Action Dataset.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor A Short Note on the Kinetics-700 Human Action Dataset

Reference 5

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Observation 91737fa0-cf1c-4771-8685-4d6d313214e2 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 6

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OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Unresolved cited work

Reference 7

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Observation 9314cd27-66d2-44b8-a27f-2aee86b03bec · outbound

This paper cites Neuroanatomy, internal capsule.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Neuroanatomy, internal capsule

Reference 8

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This paper cites Thalamic structures and associated cognitive functions: Relations with age and aging.Neuroscience & Biobehavioral Reviews, 54:29–37, 2015.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Thalamic structures and associated cognitive functions: Relations with age and aging.Neuroscience & Biobehavioral Reviews, 54:29–37, 2015

Reference 9

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Observation 020eeb6c-5f1c-4618-ab15-0dd46f061b28 · outbound

This paper cites Longitudinal changes in individual brainage in healthy aging, mild cognitive impairment, and alzheimer’s disease.GeroPsych, 2012.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Longitudinal changes in individual brainage in healthy aging, mild cognitive impairment, and alzheimer’s disease.GeroPsych, 2012

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:36:03.017180Z

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Observation ebd9337e-f652-4e3f-a9d2-753d08276371 · outbound

This paper cites Characteriza- tion of brain volume changes in aging individuals with normal cognition using serial magnetic resonance imaging.JAMA Network Open, 6(6):e2318153–e2318153, 2023.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Characteriza- tion of brain volume changes in aging individuals with normal cognition using serial magnetic resonance imaging.JAMA Network Open, 6(6):e2318153–e2318153, 2023

Reference 11

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Observation 7fc565d1-c803-49c5-9638-9a8e3349e353 · outbound

This paper cites Neuroanatomy, thalamocortical radiations.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Neuroanatomy, thalamocortical radiations

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:36:02.384756Z

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Observation 1c48e933-e0ee-45ab-8030-1e67cd2fe42c · outbound

This paper cites Age-related changes in grey and white matter structure throughout adulthood.Neuroimage, 51(3):943–951, 2010.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Age-related changes in grey and white matter structure throughout adulthood.Neuroimage, 51(3):943–951, 2010

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:36:02.124753Z

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Observation ddbd2d1c-eaff-4226-9b92-993e3db004c5 · outbound

This paper cites Aging in deep gray matter and white matter revealed by diffusional kurtosis imaging.Neuro- biology of aging, 35(10):2203–2216, 2014.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Aging in deep gray matter and white matter revealed by diffusional kurtosis imaging.Neuro- biology of aging, 35(10):2203–2216, 2014

Reference 14

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Observation 72ffc4da-35c3-452a-a5fb-5cf5e04fe305 · outbound

This paper cites Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet? InCVPR, pages 6546–6555, 2018.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet? InCVPR, pages 6546–6555, 2018

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:36:01.504754Z

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Observation 28671ddc-1b5d-4eb0-85a0-30c994ba2e0a · outbound

This paper cites Delving deep into rectifiers: Sur- passing human-level performance on imagenet classification.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Delving deep into rectifiers: Sur- passing human-level performance on imagenet classification

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:36:01.184756Z

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Observation 275c6da8-42fb-46e6-8f44-9124e33efdca · outbound

This paper cites Deep residual learning for image recognition.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Deep residual learning for image recognition

Reference 17

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This paper cites Global-local transformer for brain age estimation.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Global-local transformer for brain age estimation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:36:00.474730Z

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This paper cites Pattern of normal age-related regional differences in white matter microstructure is modified by vascular risk.Brain research, 1297:41–56, 2009.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Pattern of normal age-related regional differences in white matter microstructure is modified by vascular risk.Brain research, 1297:41–56, 2009

Reference 19

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This paper cites Adam: A method for stochastic optimization.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Adam: A method for stochastic optimization

Reference 20

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This paper cites Oasis-3: longitudinal neuroimaging, clinical, and cognitive dataset for normal aging and alzheimer disease.medrxiv, pages 2019–12, 2019.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Oasis-3: longitudinal neuroimaging, clinical, and cognitive dataset for normal aging and alzheimer disease.medrxiv, pages 2019–12, 2019

Reference 21

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This paper cites Backpropagation applied to handwritten zip code recogni- tion.Neural computation, 1(4):541–551, 1989.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Backpropagation applied to handwritten zip code recogni- tion.Neural computation, 1(4):541–551, 1989

Reference 22

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Observation 981c2593-c894-4bce-87c9-a3e270a3ac80 · outbound

This paper cites Deep learning-based brain age prediction in normal aging and dementia.Nature aging, 2(5):412– 424, 2022.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Deep learning-based brain age prediction in normal aging and dementia.Nature aging, 2(5):412– 424, 2022

Reference 23

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This paper cites The anterior limb of the internal capsule: Anatomy, function, and dysfunction.Behavioural brain research, 387:112588, 2020.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor The anterior limb of the internal capsule: Anatomy, function, and dysfunction.Behavioural brain research, 387:112588, 2020

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:58.954956Z

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This paper cites Openmap-t1: A rapid deep-learning approach to parcellate 280 anatomical regions to cover the whole brain.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Openmap-t1: A rapid deep-learning approach to parcellate 280 anatomical regions to cover the whole brain

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:58.615557Z

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Observation d6978d38-2945-49d3-a74e-e66ee99b7474 · outbound

This paper cites Accurate brain age prediction with lightweight deep neural networks.Medical image analysis, 68:101871, 2021.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Accurate brain age prediction with lightweight deep neural networks.Medical image analysis, 68:101871, 2021

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:58.304820Z

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This paper cites Alzheimer’s disease neuroimaging initiative (adni) clinical characterization.Neurology, 74(3):201–209, 2010.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Alzheimer’s disease neuroimaging initiative (adni) clinical characterization.Neurology, 74(3):201–209, 2010

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:57.964750Z

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This paper cites Supra- tentorial white matter tracts.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Supra- tentorial white matter tracts

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:57.674750Z

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This paper cites Imagenet large scale visual recognition challenge.International journal of computer vision, 115:211–252, 2015.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Imagenet large scale visual recognition challenge.International journal of computer vision, 115:211–252, 2015

Reference 29

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Observation 35146db3-a4d6-47c7-9df7-c87dadf5e16b · outbound

This paper cites Do transformers and cnns learn different concepts of brain age?bioRxiv, pages 2024–08, 2024.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Do transformers and cnns learn different concepts of brain age?bioRxiv, pages 2024–08, 2024

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:57.264836Z

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This paper cites Fiber tracking functionally distinct components of the internal capsule.Neuropsychologia, 48(14):4155–4163, 2010.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Fiber tracking functionally distinct components of the internal capsule.Neuropsychologia, 48(14):4155–4163, 2010

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:57.017709Z

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Observation 11e86c98-6330-4e5a-8dee-61e56165affc · outbound

This paper cites Acceleration of brain atrophy and progression from normal cognition to mild cognitive impairment.JAMA Network Open, 7(10):e2441505–e2441505, 2024.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Acceleration of brain atrophy and progression from normal cognition to mild cognitive impairment.JAMA Network Open, 7(10):e2441505–e2441505, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:56.724538Z

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Observation 486d8364-6929-4def-8a93-bdfff758902e · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 33

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Observation a8bed88b-0004-4459-9c29-631dccc3668f · outbound

This paper cites Scaling proprioceptive-visual learning with heterogeneous pre-trained transformers.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Scaling proprioceptive-visual learning with heterogeneous pre-trained transformers

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:56.403290Z

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Observation 270fb7b2-327e-423c-9f43-41a8dbbff691 · outbound

This paper cites Resource atlases for multi-atlas brain segmentations with multiple ontology levels based on t1-weighted mri.Neuroimage, 125:120–130, 2016.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Resource atlases for multi-atlas brain segmentations with multiple ontology levels based on t1-weighted mri.Neuroimage, 125:120–130, 2016

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:56.129480Z

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Observation d35fcc6e-70c4-4ce8-8cc9-03eb0bb5c378 · outbound

This paper cites Modeling life-span brain age from large-scale dataset based on multi-level information fusion.

OpenMAP-BrainAge: Generalizable and Interpretable Brain Age Predictor Modeling life-span brain age from large-scale dataset based on multi-level information fusion

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:55.900335Z

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Pith citing papers

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