fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis | Paper Citation Record

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fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Unresolved cited work

Reference 1

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This paper cites Unveiling the interoception impairment in various majordepressivedisorderstages.CNSNeuroscience&Therapeutics, 30:e14923, 2024.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Unveiling the interoception impairment in various majordepressivedisorderstages.CNSNeuroscience&Therapeutics, 30:e14923, 2024

Reference 2

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fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Unresolved cited work

Reference 3

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This paper cites Applicationsoffunctionalmag- netic resonance imaging to the study of functional connectivity and activation in neurological disease: a scoping review of the literature.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Applicationsoffunctionalmag- netic resonance imaging to the study of functional connectivity and activation in neurological disease: a scoping review of the literature

Reference 4

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This paper cites Characterization of the blood oxygen level dependent hemodynamic response function in human subcortical regions with high spatiotemporal resolution.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Characterization of the blood oxygen level dependent hemodynamic response function in human subcortical regions with high spatiotemporal resolution

Reference 5

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This paper cites Convolutional neural networkwithsparsestrategiestoclassifydynamicfunctionalconnec- tivity.IEEEJournalofBiomedicalandHealthInformatics,26:1219– 1228, 2021.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Convolutional neural networkwithsparsestrategiestoclassifydynamicfunctionalconnec- tivity.IEEEJournalofBiomedicalandHealthInformatics,26:1219– 1228, 2021

Reference 6

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This paper cites A novel cnn framework to extract multi- levelmodularfeaturesfortheclassificationofbrainnetworks.Applied Intelligence, pages 1–18, 2022.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis A novel cnn framework to extract multi- levelmodularfeaturesfortheclassificationofbrainnetworks.Applied Intelligence, pages 1–18, 2022

Reference 7

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Observation a0a752e2-0e61-47bd-b317-139cf5a8e4e0 · outbound

This paper cites The classification of brain network for major depressive disorder patients based on deep graph convolutionalneuralnetwork.FrontiersinHumanNeuroscience,17: 1094592, 2023.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis The classification of brain network for major depressive disorder patients based on deep graph convolutionalneuralnetwork.FrontiersinHumanNeuroscience,17: 1094592, 2023

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.361746Z

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Observation 616a5178-2c15-4334-9414-7df3c87dcc29 · outbound

This paper cites fmri functional connectivity augmentation usingconvolutionalgenerativeadversarialnetworksforbraindisorder classification.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis fmri functional connectivity augmentation usingconvolutionalgenerativeadversarialnetworksforbraindisorder classification

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.363533Z

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Observation af5e1bf0-781c-4c15-8ed4-07b02dfed4e9 · outbound

This paper cites A weighted patient network- based framework for predicting chronic diseases using graph neural networks.Scientific reports, 11:22607, 2021.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis A weighted patient network- based framework for predicting chronic diseases using graph neural networks.Scientific reports, 11:22607, 2021

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.355818Z

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Observation a9b8ce90-44f6-4dc9-bb61-5b691d41ab55 · outbound

This paper cites Graph-based con- ditional generative adversarial networks for major depressive dis- order diagnosis with synthetic functional brain network generation.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Graph-based con- ditional generative adversarial networks for major depressive dis- order diagnosis with synthetic functional brain network generation

Reference 11

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This paper cites Multivariate information theory uncovers synergistic subsystems of the human cerebral cortex.Communications biology, 6:451, 2023.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Multivariate information theory uncovers synergistic subsystems of the human cerebral cortex.Communications biology, 6:451, 2023

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.332420Z

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This paper cites Higher-order organization in the human brain from matrix-basedrényi’sentropy.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Higher-order organization in the human brain from matrix-basedrényi’sentropy

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.330262Z

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This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.334195Z

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This paper cites Functional brain network identification and fmri augmentation using a vae-gan framework.Computers in Biology and Medicine, 165:107395, 2023.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Functional brain network identification and fmri augmentation using a vae-gan framework.Computers in Biology and Medicine, 165:107395, 2023

Reference 15

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This paper cites Fmri data augmentation via synthesis.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Fmri data augmentation via synthesis

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.351911Z

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This paper cites Brain- netgan: Data augmentation of brain connectivity using generative adversarialnetworkfordementiaclassification.InMICCAIWorkshop on Deep Generative Models, pages 103–111.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Brain- netgan: Data augmentation of brain connectivity using generative adversarialnetworkfordementiaclassification.InMICCAIWorkshop on Deep Generative Models, pages 103–111

Reference 17

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This paper cites Improving brain dysfunction prediction by gan: A functional-connectivity generator approach.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Improving brain dysfunction prediction by gan: A functional-connectivity generator approach

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This paper cites Conditional gans with auxiliary discriminative classifier.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Conditional gans with auxiliary discriminative classifier

Reference 19

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

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis At- tention is all you need.Advances in neural information processing systems, 30, 2017

Reference 20

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This paper cites Scalable diffusion models with transformers.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Scalable diffusion models with transformers

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.311281Z

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This paper cites Denoisingpre- trainingforsemanticsegmentation.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Denoisingpre- trainingforsemanticsegmentation

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.313118Z

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This paper cites De- noisingdiffusionautoencodersareunifiedself-supervisedlearners.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis De- noisingdiffusionautoencodersareunifiedself-supervisedlearners

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.314976Z

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This paper cites The direct consortium and the rest-meta- mdd project: towards neuroimaging biomarkers of major depressive disorder.Psychoradiology, 2:32–42, 2022.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis The direct consortium and the rest-meta- mdd project: towards neuroimaging biomarkers of major depressive disorder.Psychoradiology, 2:32–42, 2022

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.319520Z

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This paper cites pipeline.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis pipeline

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.301157Z

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This paper cites Using graph convolutional network to characterize individuals with major depressivedisorderacrossmultipleimagingsites.EBioMedicine,78,.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Using graph convolutional network to characterize individuals with major depressivedisorderacrossmultipleimagingsites.EBioMedicine,78,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.302984Z

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This paper cites an unresolved cited work.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-07-08T13:04:57.306942Z

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Observation 27d8010c-3caf-40f2-a055-697d7e9b3abc · outbound

This paper cites Spectral graphneuralnetwork-basedmulti-atlasbrainnetworkfusionformajor depressive disorder diagnosis.IEEE Journal of Biomedical and Health Informatics, 2024.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Spectral graphneuralnetwork-basedmulti-atlasbrainnetworkfusionformajor depressive disorder diagnosis.IEEE Journal of Biomedical and Health Informatics, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.309361Z

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Observation 48ad2f35-b3fb-429c-b05b-5784e9e59dbf · outbound

This paper cites Graph autoencoders for embedding learning in brain networks and major depressive disorder identification.IEEE Journal of Biomedical and Health Informatics, 2024.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Graph autoencoders for embedding learning in brain networks and major depressive disorder identification.IEEE Journal of Biomedical and Health Informatics, 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.304888Z

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Observation d6237eb3-d246-4963-b75d-5529502fa183 · outbound

This paper cites Graph neural network with modular attention for identifying brain disorders.Biomedical Signal Processing and Control, 102:107252,.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Graph neural network with modular attention for identifying brain disorders.Biomedical Signal Processing and Control, 102:107252,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.317081Z

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Observation 3a422980-0bf1-4d14-979b-527d8bce9537 · outbound

This paper cites Dsam: A deep learning framework for analyzing temporal and spatial dynamics in brain networks.Medical Image Analysis, page 103462, 2025.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Dsam: A deep learning framework for analyzing temporal and spatial dynamics in brain networks.Medical Image Analysis, page 103462, 2025

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.326114Z

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Observation 728af13d-d203-4064-8ba6-859a96ec593f · outbound

This paper cites Con- volutional neural networks on graphs with fast localized spectral filtering.Advances in neural information processing systems, 29, 2016.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Con- volutional neural networks on graphs with fast localized spectral filtering.Advances in neural information processing systems, 29, 2016

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.377822Z

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This paper cites Brainnetcnn: Convolutional neural networks for brain networks; to- wards predicting neurodevelopment.NeuroImage, 146:1038–1049,.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Brainnetcnn: Convolutional neural networks for brain networks; to- wards predicting neurodevelopment.NeuroImage, 146:1038–1049,

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.367189Z

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Observation 5dbd01a6-2d18-4b94-ac73-ac76bf095b29 · outbound

This paper cites Graph Attention Networks.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Graph Attention Networks

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Resolution: verified exact; local_arxiv, observed 2026-06-30T16:35:12.558322Z

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Observation 35ca3d8f-8dc3-4440-9021-611c7bfc432f · outbound

This paper cites How Powerful are Graph Neural Networks?.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis How Powerful are Graph Neural Networks?

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Resolution: verified exact; local_arxiv, observed 2026-06-30T16:35:12.555776Z

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Observation ef75782a-cb4e-46dc-a7ec-c9b1da38c991 · outbound

This paper cites Graph transformer networks.Advances in neural information processing systems, 32.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Graph transformer networks.Advances in neural information processing systems, 32

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.379720Z

Source-reported events for the cited work

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Observation 8fa7f4bc-4324-4958-990d-990db9bf40c9 · outbound

This paper cites Inductive repre- sentation learning on large graphs.Advances in neural information processing systems, 30, 2017.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Inductive repre- sentation learning on large graphs.Advances in neural information processing systems, 30, 2017

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.348503Z

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Observation d237a650-e1d6-4679-8499-4299182845d1 · outbound

This paper cites ISSN 1053-8119.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis ISSN 1053-8119

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.344952Z

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 abe2f13b-0e5a-4fed-bcf4-6f2947409222 · outbound

This paper cites Gyriofthehumanneocortex: anmri-basedanalysisofvolumeandvariance.CerebralCortex(New York, NY: 1991), 8:372–384, 1998.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Gyriofthehumanneocortex: anmri-basedanalysisofvolumeandvariance.CerebralCortex(New York, NY: 1991), 8:372–384, 1998

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.343345Z

Source-reported events for the cited work

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Observation 45918984-cd55-403b-9a9c-ff3c2cdb2868 · outbound

This paper cites A whole brain fmri atlas generated via spatially constrained spectral clustering.Human brain mapping, 33:1914–1928, 2012.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis A whole brain fmri atlas generated via spatially constrained spectral clustering.Human brain mapping, 33:1914–1928, 2012

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.339520Z

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 3967443a-9a1c-4d9a-9089-dff4bce51199 · outbound

This paper cites Whole-brain anatomical networks: does the choice of nodes matter?Neuroimage, 50:970–983, 2010.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Whole-brain anatomical networks: does the choice of nodes matter?Neuroimage, 50:970–983, 2010

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.341390Z

Source-reported events for the cited work

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Observation f6180e12-b37e-4dc6-ba6d-4f35640cd6d1 · outbound

This paper cites Spurious but systematic corre- lations in functional connectivity mri networks arise from subject motion.Neuroimage, 59:2142–2154, 2012.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Spurious but systematic corre- lations in functional connectivity mri networks arise from subject motion.Neuroimage, 59:2142–2154, 2012

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.346790Z

Source-reported events for the cited work

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Observation 9b3ad54f-4e8f-4f4a-9f6c-c3b2a9efbb77 · outbound

This paper cites ISSN 0036-8075.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis ISSN 0036-8075

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.350209Z

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Observation 03f9e123-a72e-41aa-b4c8-3fee24a08282 · outbound

This paper cites Mm-gtunets: Unified multi-modal graph deep learning for brain disorders prediction.IEEE Transactions on Medical Imaging, 2025.

fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis Mm-gtunets: Unified multi-modal graph deep learning for brain disorders prediction.IEEE Transactions on Medical Imaging, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T13:04:57.336001Z

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Outbound references

Pith citing papers