Paper Citation Record · LEDGER

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis

As of 21 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2501.00378.

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

pith.paper-citation-record.v1
2501.00378 v2

Coverage vector

measured 59 of 59 reference resolution

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measured 60 of 60 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.

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measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:25:19.262578Z

Reference resolution

59 of 59 outbound references displayed

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External citation measurements

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Outbound references

Observation a787f0a0-fa7d-49c6-abc9-67e562d15715 · outbound

This paper cites Learning functional brain networks with heterogeneous connectivities for brain 17 Published by Neural Networks disease identification.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Learning functional brain networks with heterogeneous connectivities for brain 17 Published by Neural Networks disease identification

Reference 1

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Observation f113dda2-e045-41b9-9c67-9ddbdb99bdf5 · outbound

This paper cites Functional neurogenomics in autism spectrum disorders: A decade of progress.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Functional neurogenomics in autism spectrum disorders: A decade of progress

Reference 2

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Observation ed50ff3b-cf53-41cb-90fd-a0036bd802ed · outbound

This paper cites Neurobiology of attention-deficit hyperactivity disorder: historical challenges and emerging frontiers.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Neurobiology of attention-deficit hyperactivity disorder: historical challenges and emerging frontiers

Reference 3

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Observation 3fb1f51e-868d-454a-b169-f863f290b867 · outbound

This paper cites Functional network disruption in the degenerative dementias.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Functional network disruption in the degenerative dementias

Reference 4

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Observation de6ef0ca-58ae-4c36-ab21-df722e3e88a9 · outbound

This paper cites Disrupted brain functional network in internet addiction disorder: a resting-state functional magnetic resonance imaging study.PloS One, 9(9):e107306, 2014.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Disrupted brain functional network in internet addiction disorder: a resting-state functional magnetic resonance imaging study.PloS One, 9(9):e107306, 2014

Reference 5

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Observation d8c39b15-ac35-4961-a426-2a7f5cc73524 · outbound

This paper cites Large-scale brain functional network topology disruptions underlie symptom heterogeneity in children with attention-deficit/hyperactivity disorder.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Large-scale brain functional network topology disruptions underlie symptom heterogeneity in children with attention-deficit/hyperactivity disorder

Reference 6

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Observation 412e8ae7-84d0-4c25-879e-ee1071d62f85 · outbound

This paper cites Disentangle the group and individual components of functional connectome with autoencoders.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Disentangle the group and individual components of functional connectome with autoencoders

Reference 7

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Observation 30298400-0984-44bc-94b0-8f1e27486795 · outbound

This paper cites MHNet: Multi-view High-order Network for Diagnosing Neurodevelopmental Disorders Using Resting-state fMRI.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis MHNet: Multi-view High-order Network for Diagnosing Neurodevelopmental Disorders Using Resting-state fMRI

Reference 8

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Observation 5e267112-4dc9-45d3-9f44-3d06ab37885d · outbound

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STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Unresolved cited work

Reference 9

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Observation 11ba2e0f-7433-42a5-a0bb-b0f50ad47f8f · outbound

This paper cites Machine learning in resting- state fMRI analysis.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Machine learning in resting- state fMRI analysis

Reference 10

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Observation b8b22e3e-3a4d-41d9-a987-defad77c4b41 · outbound

This paper cites Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review

Reference 11

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Observation 0cc03997-2b89-41af-b4de-1e3113cf55fb · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 12

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Observation a8693597-775a-4065-9090-02be7041c0be · outbound

This paper cites Comprehensive review of transformer-based models in neuroscience, neurology, and psychiatry.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Comprehensive review of transformer-based models in neuroscience, neurology, and psychiatry

Reference 13

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Observation 93263a0f-1520-4bf0-ac7a-ccce22ec9f53 · outbound

This paper cites Detection of Alzheimer’s disease in neuroimages using vision transformers: A systematic review and meta-analysis (preprint).

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Detection of Alzheimer’s disease in neuroimages using vision transformers: A systematic review and meta-analysis (preprint)

Reference 14

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Observation 254137c4-4542-49ea-8c96-3905bf58f84f · outbound

This paper cites Dynamic functional connectivity: promise, issues, and interpretations.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Dynamic functional connectivity: promise, issues, and interpretations

Reference 15

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Observation 1c44b7fc-6592-4efd-ae5b-b990e3e64e69 · outbound

This paper cites LCGNet: Local sequential feature coupling global representation learning for functional connectivity 18 Published by Neural Networks network analysis with fMRI.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis LCGNet: Local sequential feature coupling global representation learning for functional connectivity 18 Published by Neural Networks network analysis with fMRI

Reference 16

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Observation d6cc5974-209d-4734-b475-70ca2524dce9 · outbound

This paper cites Eigenvector centrality mapping for analyzing connectivity patterns in fmri data of the human brain.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Eigenvector centrality mapping for analyzing connectivity patterns in fmri data of the human brain

Reference 17

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Observation bc3ba6d6-b452-4cad-9e18-02b9e03cd55e · outbound

This paper cites A cross-disorder connectome landscape of brain dyscon- nectivity.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis A cross-disorder connectome landscape of brain dyscon- nectivity

Reference 18

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Observation 57297e94-7af6-4657-8e20-589d24bf89ac · outbound

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STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Unresolved cited work

Reference 19

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Observation 9151cea4-0d8c-4f73-8b73-4d33901657d9 · outbound

This paper cites Abnormalities of intrinsic functional connectivity in autism spectrum disorders.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Abnormalities of intrinsic functional connectivity in autism spectrum disorders

Reference 20

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Observation e9e02e7f-1293-4fc3-aedc-ef89c4c24c28 · outbound

This paper cites Eigenvector centrality characterization on fMRI data: Gender and node differences in normal and ASD subjects.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Eigenvector centrality characterization on fMRI data: Gender and node differences in normal and ASD subjects

Reference 21

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Observation 3ff989cc-ef97-438d-b577-b83235229a50 · outbound

This paper cites Be- tweenness centrality of intracranial electroencephalography networks and surgical epilepsy outcome.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Be- tweenness centrality of intracranial electroencephalography networks and surgical epilepsy outcome

Reference 22

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Observation 8a0ebbf6-a8e7-43a4-8d76-0fafc61803f5 · outbound

This paper cites Changes in degree centrality of network nodes in different frequency bands in Parkinson’s disease with depression and without depression.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Changes in degree centrality of network nodes in different frequency bands in Parkinson’s disease with depression and without depression

Reference 23

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Observation e15bbbfc-de54-4e07-8edb-9bb3fe2f2cdf · outbound

This paper cites A deep dynamic causal learning model to study changes in dynamic effective connectivity during brain development.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis A deep dynamic causal learning model to study changes in dynamic effective connectivity during brain development

Reference 24

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Observation 427b0806-2a40-455b-b017-bede53449c78 · outbound

This paper cites Altered effective connectivity among the cerebellum and cerebrum in patients with major depressive disorder using multisite resting-state fMRI.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Altered effective connectivity among the cerebellum and cerebrum in patients with major depressive disorder using multisite resting-state fMRI

Reference 25

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Observation e5136269-733a-49aa-9bd7-88fc4ef62d84 · outbound

This paper cites Effective connectivity within the default mode network: dynamic causal modeling of resting-state fMRI data.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Effective connectivity within the default mode network: dynamic causal modeling of resting-state fMRI data

Reference 26

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Observation a65d2bad-e8e1-4ec4-9f20-2d998e8c4222 · outbound

This paper cites Classifying ASD based on time-series fMRI using spatial–temporal transformer.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Classifying ASD based on time-series fMRI using spatial–temporal transformer

Reference 27

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This paper cites Identifying autism from resting-state fMRI using long short-term memory networks.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Identifying autism from resting-state fMRI using long short-term memory networks

Reference 28

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This paper cites BolT: Fused window transformers for fMRI time series analysis.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis BolT: Fused window transformers for fMRI time series analysis

Reference 29

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Observation 9e6d136e-2a2e-4101-9af9-2cce453cf9e8 · outbound

This paper cites Multi modality fusion transformer with spatio-temporal feature aggregation module for psychiatric disorder diagnosis.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Multi modality fusion transformer with spatio-temporal feature aggregation module for psychiatric disorder diagnosis

Reference 30

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This paper cites 2-channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis 2-channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning

Reference 31

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This paper cites 3D CNN based automatic diagnosis of attention deficit hyperactivity disorder using functional and structural MRI.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis 3D CNN based automatic diagnosis of attention deficit hyperactivity disorder using functional and structural MRI

Reference 32

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This paper cites Spatial–temporal co- attention learning for diagnosis of mental disorders from resting-state fMRI data.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Spatial–temporal co- attention learning for diagnosis of mental disorders from resting-state fMRI data

Reference 33

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This paper cites STANet: A novel spatio-temporal aggregation network for depression classification with small and unbalanced FMRI data.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis STANet: A novel spatio-temporal aggregation network for depression classification with small and unbalanced FMRI data

Reference 34

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This paper cites A spatiotemporal graph transformer approach for Alzheimer’s disease diagnosis with rs-fMRI.Computers in Biology and Medicine, 178:108762, 2024.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis A spatiotemporal graph transformer approach for Alzheimer’s disease diagnosis with rs-fMRI.Computers in Biology and Medicine, 178:108762, 2024

Reference 35

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This paper cites Granger causality: A review and recent advances.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Granger causality: A review and recent advances

Reference 36

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This paper cites The organization of the human cerebral cortex estimated by intrinsic functional connectivity.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis The organization of the human cerebral cortex estimated by intrinsic functional connectivity

Reference 37

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This paper cites Swin trans- former: Hierarchical vision transformer using shifted windows.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Swin trans- former: Hierarchical vision transformer using shifted windows

Reference 38

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This paper cites Focal Self-attention for Local-Global Interactions in Vision Transformers.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Focal Self-attention for Local-Global Interactions in Vision Transformers

Reference 39

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STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Gaussian Error Linear Units (GELUs)

Reference 40

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This paper cites The neuro bureau preprocessing initiative: open sharing of preprocessed neuroimaging data and derivatives.Frontiers in Neuroinformatics, 7(27):5,.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis The neuro bureau preprocessing initiative: open sharing of preprocessed neuroimaging data and derivatives.Frontiers in Neuroinformatics, 7(27):5,

Reference 41

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STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis The neuro bureau ADHD-200 preprocessed repository

Reference 42

Resolution: verified exact; doi, observed 2026-08-10T22:56:49.840650Z

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Observation 68d57f0b-975b-44af-98b0-a380a9b30f71 · outbound

This paper cites Towards automated analysis of connectomes: The configurable pipeline for the analysis of connectomes (C-PAC).

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Towards automated analysis of connectomes: The configurable pipeline for the analysis of connectomes (C-PAC)

Reference 43

Resolution: verified exact; doi, observed 2026-08-10T22:56:49.818005Z

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This paper cites Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI

Reference 44

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This paper cites Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain

Reference 45

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This paper cites Deriving reproducible biomarkers from multi-site resting-state data: An Autism- based example.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Deriving reproducible biomarkers from multi-site resting-state data: An Autism- based example

Reference 46

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This paper cites BrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis BrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment

Reference 47

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This paper cites Community-aware trans- former for autism prediction in fmri connectome.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Community-aware trans- former for autism prediction in fmri connectome

Reference 48

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T22:56:53.091270Z

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Observation cb15b028-9875-4e37-9206-3bb28508caee · outbound

This paper cites an unresolved cited work.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Unresolved cited work

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T22:56:49.570013Z

Source-reported events for the cited work

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Observation de54f4c3-e023-40fe-bb52-3cd53fa18514 · outbound

This paper cites Residual graph transformer for autism spectrum disorder prediction.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Residual graph transformer for autism spectrum disorder prediction

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T22:56:49.575989Z

Source-reported events for the cited work

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Observation 18ab751d-97f0-4071-9f65-0957bd703a6a · outbound

This paper cites PlsNet: Position-aware GCN-based autism spectrum disorder diagnosis via fc learning and rois sifting.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis PlsNet: Position-aware GCN-based autism spectrum disorder diagnosis via fc learning and rois sifting

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:53.058717Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7332fdc0-b805-4380-a2ea-d02378994903 · outbound

This paper cites Performance of a PEM fuel cell with oscillating air flow velocity: A modeling study based on cell impedance.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Performance of a PEM fuel cell with oscillating air flow velocity: A modeling study based on cell impedance

Reference 52

Resolution: malformed identifier; local_arxiv, observed 2026-08-10T22:56:50.437474Z

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Observation ebacc25a-8604-4a2c-9700-34818baa012b · outbound

This paper cites Functional MRI reveals different response inhibition between adults and children with ADHD.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Functional MRI reveals different response inhibition between adults and children with ADHD

Reference 53

Resolution: verified exact; doi, observed 2026-08-10T22:56:49.719950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 375eef84-ce3a-4ed6-ba9d-bd412207ec93 · outbound

This paper cites an unresolved cited work.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Unresolved cited work

Reference 54

Resolution: verified exact; doi, observed 2026-08-10T22:56:49.689461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 830e256a-221d-4bd8-8d1a-6e1e43a367fb · outbound

This paper cites Preserving specificity in federated graph learning for fMRI-based neurological disorder identification.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Preserving specificity in federated graph learning for fMRI-based neurological disorder identification

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:56:53.022102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2285d17d-4148-4e3e-a06f-5714319cfb21 · outbound

This paper cites an unresolved cited work.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Unresolved cited work

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-10T22:56:49.473020Z

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Observation 21cb4a60-6e7e-4ff0-be26-bd1b1918b846 · outbound

This paper cites an unresolved cited work.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Unresolved cited work

Reference 2013

Resolution: verified exact; doi, observed 2026-08-10T22:56:49.876903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a37310fe-a951-4d16-ae6d-493dc0989382 · outbound

This paper cites an unresolved cited work.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Unresolved cited work

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T22:56:49.588407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23ef23aa-f932-45dc-80f0-78d58e28a359 · outbound

This paper cites an unresolved cited work.

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Unresolved cited work

Reference 2024

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T22:56:52.663924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 692c97f5-d5e9-4328-a85c-4dedc1888507 · inbound

Information Bottleneck-Guided Heterogeneous Graph Learning for Interpretable Neurodevelopmental Disorder Diagnosis cites this paper.

Information Bottleneck-Guided Heterogeneous Graph Learning for Interpretable Neurodevelopmental Disorder Diagnosis STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:25:19.265729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.