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Paper Citation Record · LEDGER

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging

As of 14 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2411.10100.

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

pith.paper-citation-record.v1
2411.10100 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:01:38.481296Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:34:46.193347Z

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

Source: pith, observed 2026-08-11T20:34:46.214397Z

Reference resolution

65 of 65 outbound references displayed

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External citation measurements

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Outbound references

Observation cb3baeb4-35c6-4061-a646-75d22e3ce6fe · outbound

This paper cites Development of metaverse for intelligent healthcare,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Development of metaverse for intelligent healthcare,

Reference 1

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Observation 016ebec9-1c1e-4580-9000-86edc403a8ab · outbound

This paper cites Digital twins in medicine,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Digital twins in medicine,

Reference 2

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Observation a476212f-47ec-4d2c-b936-56965bc06a3d · outbound

This paper cites Digital twins for health: a scoping review,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Digital twins for health: a scoping review,

Reference 3

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Observation eed11027-dd2e-45d9-82e8-383ddb91a0e3 · outbound

This paper cites Dtwins: A digital twins ecosystem for health and well-being,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Dtwins: A digital twins ecosystem for health and well-being,

Reference 4

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Observation 1fad41f9-bf30-4dee-b6c4-e2b1c11d2243 · outbound

This paper cites Predicting age using neuroimaging: Inno- vative brain ageing biomarkers,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Predicting age using neuroimaging: Inno- vative brain ageing biomarkers,

Reference 5

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Observation 5a933208-2c39-4492-ae0d-c5fe049c9a3a · outbound

This paper cites Prediction of brain age suggests accelerated atrophy after traumatic brain injury,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Prediction of brain age suggests accelerated atrophy after traumatic brain injury,

Reference 6

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Observation d70e2b54-e09c-4cb8-a39d-096a1eb7f341 · outbound

This paper cites Identifying individuals with alzheimer’s disease-like brains based on structural imaging in the human connectome project aging cohort,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Identifying individuals with alzheimer’s disease-like brains based on structural imaging in the human connectome project aging cohort,

Reference 7

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Observation 0adb3e2c-56dd-450e-a3df-cb485f6ed17f · outbound

This paper cites Brainage score indicates accelerated brain aging in schizophrenia, but not bipolar disorder,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Brainage score indicates accelerated brain aging in schizophrenia, but not bipolar disorder,

Reference 8

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Observation 5e110fba-d406-4b7b-8439-be6a507cac4a · outbound

This paper cites Deep learning for brain age estimation: A systematic review,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Deep learning for brain age estimation: A systematic review,

Reference 9

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Observation a194842a-58dc-4677-9d68-64adbd234458 · outbound

This paper cites Predicting brain-age from multimodal imaging data captures cognitive impairment,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Predicting brain-age from multimodal imaging data captures cognitive impairment,

Reference 10

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Observation 718de588-e3a7-4e86-b6dd-b82cc7db9ad1 · outbound

This paper cites Gender-specific effects of health and lifestyle markers on individual brainage,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Gender-specific effects of health and lifestyle markers on individual brainage,

Reference 11

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Observation c982908a-4867-4386-af44-fbbe98a37df3 · outbound

This paper cites Sex differences in predictors and regional patterns of brain age gap estimates,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Sex differences in predictors and regional patterns of brain age gap estimates,

Reference 12

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Observation e3c4efb5-a1c4-435d-bc1e-fd15e16c9613 · outbound

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

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Global-local transformer for brain age estimation,

Reference 13

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Observation 721f3a29-165d-46c7-b27e-23bb1472e25b · outbound

This paper cites Deep relation learning for regression and its application to brain age estimation,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Deep relation learning for regression and its application to brain age estimation,

Reference 14

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Observation 356a6832-b6b1-4aac-8365-25dfd4726270 · outbound

This paper cites Brain age estimation from mri using cascade networks with ranking loss,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Brain age estimation from mri using cascade networks with ranking loss,

Reference 15

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Observation 54a3140e-34c7-423f-bcdc-c138cca37c99 · outbound

This paper cites Age-net: An mri-based iterative framework for brain biological age estimation,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Age-net: An mri-based iterative framework for brain biological age estimation,

Reference 16

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Observation b275f969-89c7-4413-8dbb-22ad2d48d475 · outbound

This paper cites Robust brain age estimation based on smri via nonlinear age-adaptive ensemble learning,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Robust brain age estimation based on smri via nonlinear age-adaptive ensemble learning,

Reference 17

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Observation ecf87f9f-78f8-4e0d-aec4-6a5ad1abf0a1 · outbound

This paper cites Risk prediction of alzheimer’s disease conversion in mild cognitive impaired population based on brain age estimation,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Risk prediction of alzheimer’s disease conversion in mild cognitive impaired population based on brain age estimation,

Reference 18

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Observation 3642111e-26a7-42db-a5a1-b98f83cf510f · outbound

This paper cites Base: Brain age standardized evaluation,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Base: Brain age standardized evaluation,

Reference 19

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Observation 267be28a-8391-439c-9c1e-941101f0568b · outbound

This paper cites A skewed loss function for correcting predictive bias in brain age prediction,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging A skewed loss function for correcting predictive bias in brain age prediction,

Reference 20

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Observation 0112cc46-a220-4080-a93a-f4f76fcbd73f · outbound

This paper cites Multimodal biological brain age prediction using magnetic resonance imaging and angiography with the identification of predictive regions,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Multimodal biological brain age prediction using magnetic resonance imaging and angiography with the identification of predictive regions,

Reference 21

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Observation 35ea0b04-6b76-4e61-b5e3-89e08492282d · outbound

This paper cites Graph transformer geometric learning of brain networks using multimodal mr images for brain age estimation,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Graph transformer geometric learning of brain networks using multimodal mr images for brain age estimation,

Reference 22

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Observation 1015e940-2031-49a9-9681-8f7d493547d7 · outbound

This paper cites Disentangled-multimodal adversarial autoencoder: Application to infant age prediction with incomplete multimodal neu- roimages,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Disentangled-multimodal adversarial autoencoder: Application to infant age prediction with incomplete multimodal neu- roimages,

Reference 23

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Observation 953201c7-5b14-4aa5-9819-cc417e53b78b · outbound

This paper cites Bolt: Fused window transformers for fmri time series analysis,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Bolt: Fused window transformers for fmri time series analysis,

Reference 24

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Observation 48c65f11-b5c3-4d26-a250-4bf6bb8ea45c · outbound

This paper cites DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI

Reference 25

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Observation 7620b79b-2adb-4286-92df-e8a4ed85fa0c · outbound

This paper cites A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility,

Reference 26

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Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Multimodal machine learning: A survey and taxonomy,

Reference 27

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Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Learn to Combine Modalities in Multimodal Deep Learning

Reference 28

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This paper cites A hybrid image enhancement based brain mri images classification technique,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging A hybrid image enhancement based brain mri images classification technique,

Reference 29

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This paper cites Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2d ultrasonography,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2d ultrasonography,

Reference 30

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Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Mask-transformer-based networks for teeth segmentation in panoramic radiographs,

Reference 31

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Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging In- telligent healthcare system for iomt-integrated sonography: Leveraging multi-scale self-guided attention networks and dynamic self-distillation,

Reference 32

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Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan

Reference 33

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Observation 427459d6-a3bc-47ac-bd01-fb2c42deec55 · outbound

This paper cites Meds-net: Multi-encoder based self-distilled network with bidirectional maximum intensity projections fusion for lung nodule detection,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Meds-net: Multi-encoder based self-distilled network with bidirectional maximum intensity projections fusion for lung nodule detection,

Reference 34

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Observation b0445b28-d2a2-49a1-8222-9ee4d6340655 · outbound

This paper cites Selective deeply supervised multi-scale attention network for brain tumor seg- mentation,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Selective deeply supervised multi-scale attention network for brain tumor seg- mentation,

Reference 35

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Observation b03f68f1-1cbd-4c0f-bb82-f25940ef854f · outbound

This paper cites Ldmres-net: a lightweight neural network for efficient medical image segmentation on iot and edge devices,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Ldmres-net: a lightweight neural network for efficient medical image segmentation on iot and edge devices,

Reference 36

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Observation e3c002b7-5f24-4218-8c26-6540b15bf2b4 · outbound

This paper cites Deha-net: a dual-encoder-based hard attention network with an adaptive roi mechanism for lung nodule segmentation,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Deha-net: a dual-encoder-based hard attention network with an adaptive roi mechanism for lung nodule segmentation,

Reference 37

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Observation c6be4dba-4cce-451e-b0f6-53cf2ee2ed86 · outbound

This paper cites Dual-stage deeply supervised attention-based convolutional neural networks for mandibular canal segmentation in cbct scans,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Dual-stage deeply supervised attention-based convolutional neural networks for mandibular canal segmentation in cbct scans,

Reference 38

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Observation ee460923-e5db-402f-b252-c168ce0a4774 · outbound

This paper cites Ssmd-unet: semi-supervised multi-task decoders network for diabetic retinopathy segmentation,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Ssmd-unet: semi-supervised multi-task decoders network for diabetic retinopathy segmentation,

Reference 39

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 788fa180-38e8-45b7-a6a9-0fa265a64c2d · outbound

This paper cites Automating Motion Correction in Multishot MRI Using Generative Adversarial Networks.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Automating Motion Correction in Multishot MRI Using Generative Adversarial Networks

Reference 40

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Observation 6d479847-b2ec-45b3-9d26-e08096ec091e · outbound

This paper cites Evaluation of the feasibility of explainable computer-aided detection of cardiomegaly on chest radiographs using deep learning,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Evaluation of the feasibility of explainable computer-aided detection of cardiomegaly on chest radiographs using deep learning,

Reference 41

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Observation 15dab59b-3fbe-4e0f-ae99-1c14b8d9275f · outbound

This paper cites Mobile technologies for managing non- communicable diseases in developing countries,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Mobile technologies for managing non- communicable diseases in developing countries,

Reference 42

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Observation eb23bed8-ef4b-4639-8e62-a8707353a312 · outbound

This paper cites Mtss-aae: Multi-task semi- supervised adversarial autoencoding for covid-19 detection based on chest x-ray images,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Mtss-aae: Multi-task semi- supervised adversarial autoencoding for covid-19 detection based on chest x-ray images,

Reference 43

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Observation 44640034-4d43-494e-b299-9bd7c0d60084 · outbound

This paper cites Densely attention mech- anism based network for covid-19 detection in chest x-rays,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Densely attention mech- anism based network for covid-19 detection in chest x-rays,

Reference 44

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source=pdf_text observed=2026-08-12T20:01:38.413737Z digest=sha256:77e8f5f686844b75519d78384e5d016ec1ffc56559c8fa5a5d196639fa7a74fb

Observation 4221736b-5b13-466a-8acf-3e03405ab427 · outbound

This paper cites Using deep autoencoders for facial expression recognition,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Using deep autoencoders for facial expression recognition,

Reference 45

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Observation 4b6e905f-73f1-4a1c-8082-be426671614b · outbound

This paper cites Cascade multiscale residual attention cnns with adaptive roi for automatic brain tumor segmentation,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Cascade multiscale residual attention cnns with adaptive roi for automatic brain tumor segmentation,

Reference 46

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Observation e912a1bc-ba92-4b71-927c-e3c52ef89991 · outbound

This paper cites Retrospec- tive motion correction in multishot mri using generative adversarial network,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Retrospec- tive motion correction in multishot mri using generative adversarial network,

Reference 47

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source=pdf_text observed=2026-08-12T20:01:38.423674Z digest=sha256:7fc31e14315da12035daed967b015277475c7812596dad61fea04d5a909fc781

Observation 2ec3fc7e-402e-40f5-8b8f-f0d67ff3d753 · outbound

This paper cites V olumetric lung nodule segmentation using adaptive roi with multi- view residual learning,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging V olumetric lung nodule segmentation using adaptive roi with multi- view residual learning,

Reference 48

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Observation 055bb4aa-243f-4cfc-bb0c-95eb604878d1 · outbound

This paper cites Cross lingual speech emotion recognition: Urdu vs. western languages,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Cross lingual speech emotion recognition: Urdu vs. western languages,

Reference 49

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source=pdf_text observed=2026-08-12T20:01:38.430162Z digest=sha256:ba5f7d0ae5bce6426d3e756af937c6fef0e4de84dd7bbc1553486e49bb4d80fa

Observation 1f1ac748-b0cf-4ec1-a2dd-b0b4d583b552 · outbound

This paper cites Phonocardiographic sensing using deep learning for abnormal heartbeat detection,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Phonocardiographic sensing using deep learning for abnormal heartbeat detection,

Reference 50

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source=pdf_text observed=2026-08-12T20:01:38.433326Z digest=sha256:1474ec73648e8620d1917de27ae614ebb182d76035b6dc1076416890efb35814

Observation 325d60ec-8a84-49fd-89cd-612a74aada41 · outbound

This paper cites Leveraging data science to combat covid-19: A comprehensive review,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Leveraging data science to combat covid-19: A comprehensive review,

Reference 51

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source=pdf_text observed=2026-08-12T20:01:38.436711Z digest=sha256:779dfc7071e4472d1a971e951f33e1903fd6c202f239ba1e9ad10b8dc14196c6

Observation 6290632b-178e-4a1c-b472-786dd5999dc4 · outbound

This paper cites Dc-aae: dual channel adversarial autoencoder with multitask learning for kl-grade classifica- tion in knee radiographs,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Dc-aae: dual channel adversarial autoencoder with multitask learning for kl-grade classifica- tion in knee radiographs,

Reference 52

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source=pdf_text observed=2026-08-12T20:01:38.440053Z digest=sha256:1f241d992825837b3f01880926ad503b9d2c18aef7e7131278ff6f32e08e6e2f

Observation dcec0c7f-fcfa-4ec1-9cc3-3352cecae53f · outbound

This paper cites Relief-based feature selection: Introduction and review,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Relief-based feature selection: Introduction and review,

Reference 53

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source=pdf_text observed=2026-08-12T20:01:38.443818Z digest=sha256:429c91625749923064e4a947f2d942c05da8b8304c6c3bfaf3ebaac9e5609f33

Observation 40fb0912-886a-45ed-8f13-e199d95ba2de · outbound

This paper cites Rapid feature selection based on random forests for high-dimensional data,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Rapid feature selection based on random forests for high-dimensional data,

Reference 54

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Observation 8f204e60-86ae-4dd5-b6ac-f1f1720a625e · outbound

This paper cites Adversarial Autoencoders.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Adversarial Autoencoders

Reference 55

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:01:38.450178Z digest=sha256:a98d44202820f05eef40d4e511526b72c9bb806ea6bd0a35de8cad780006b48d

Observation 87b3bcb7-a17b-426b-97cb-a87e7042c1b2 · outbound

This paper cites Auto-Encoding Variational Bayes.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Auto-Encoding Variational Bayes

Reference 56

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no resolver link, observed 2026-08-12T20:01:38.453994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:01:38.453994Z digest=sha256:424c404fcbefd4aaaf2eb3b89c1498a84a4a2cff36ce6725d371fe1f3ffbcc21

Observation f0c3007a-3236-43c3-84fb-f404aba51edf · outbound

This paper cites Openbhb: a large-scale multi-site brain mri data-set for age prediction and debiasing,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Openbhb: a large-scale multi-site brain mri data-set for age prediction and debiasing,

Reference 57

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Unavailable: canonical work link unavailable.

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Observation f3f066c5-a3b6-412f-806e-c2c4c0895d83 · outbound

This paper cites Neuroimaging predictors of creativity in healthy adults,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Neuroimaging predictors of creativity in healthy adults,

Reference 58

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T20:01:38.460438Z digest=sha256:780714812c5ce8fef84954d958df728d712cd728a4d42ccdff8d8b790a5cb7bd

Observation 87a33845-7e48-414e-a718-514aa8bfd06c · outbound

This paper cites The “narratives.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging The “narratives

Reference 59

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no resolver link, observed 2026-08-12T20:01:38.463259Z

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Unavailable: canonical work link unavailable.

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Observation 4780b091-4a05-44bd-bbc4-77860e1b8ae8 · outbound

This paper cites Accurate brain age prediction with lightweight deep neural networks,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Accurate brain age prediction with lightweight deep neural networks,

Reference 60

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source=pdf_text observed=2026-08-12T20:01:38.466231Z digest=sha256:ed8cc4a4c7966e61c9741b8824c79ccc866ba51bbf974e34efb5998e202fb949

Observation 7b11ba0b-cb30-45b2-b18e-bbc3fc1e2264 · outbound

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

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Oasis-3: longitudinal neuroimaging, clinical, and cognitive dataset for normal aging and alzheimer disease,

Reference 61

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:01:38.469515Z digest=sha256:4c320a544a03a72c6abba9ee3e743f6033628b1083c02dcaea12fc0a03ba3d26

Observation 6abc804d-c2bf-450b-a782-13a2e6f2b546 · outbound

This paper cites Uk biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Uk biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age,

Reference 62

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4f2ce37f-8eae-423e-b97f-0eee7afd8877 · outbound

This paper cites Multiple-kernel learning for genomic data mining and prediction,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Multiple-kernel learning for genomic data mining and prediction,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:01:38.595505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:01:38.475181Z digest=sha256:36eb3ff6d5dd28d65a82c13bc4de3af5cf24879f0d5a543439784357acf3d5c0

Observation 64330def-a991-4fec-8a63-1d4df5f55926 · outbound

This paper cites Multi- source learning for joint analysis of incomplete multi-modality neu- roimaging data,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Multi- source learning for joint analysis of incomplete multi-modality neu- roimaging data,

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-12T20:01:38.584598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:01:38.478102Z digest=sha256:dc845d95b03c8cbf9e04ecc6273bbf14fae7301c52cb2032a5930a806d3f2a6c

Observation 775c9b6a-2433-42cd-bf56-2fcbf35e26cc · outbound

This paper cites Revealing hidden patterns in deep neural network feature space continuum via manifold learning,.

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging Revealing hidden patterns in deep neural network feature space continuum via manifold learning,

Reference 65

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verified fuzzy
raw_fallback, observed 2026-08-12T20:01:38.573635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:01:38.481296Z digest=sha256:f87d9863de5eb25760ab9edb99ad24971cddad8f9e0a5db84be9d217178071ec

Pith citing papers

Observation 569bf761-e507-4b77-b457-706bb00cbd22 · inbound

Biological Brain Age Estimation using Sex-Aware Adversarial Variational Autoencoder with Multimodal Neuroimages cites this paper.

Biological Brain Age Estimation using Sex-Aware Adversarial Variational Autoencoder with Multimodal Neuroimages Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging

Reference 76

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:34:46.193347Z digest=sha256:a2b6cbccc4aa9a57aa8ec729b7437f8875f8bb37342ccbb78099fd682ded3168