Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI | Paper Citation Record

Observation 72714269-ab46-47cc-9b71-4178eda190d1 · outbound

This paper cites Kay, and David W.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Kay, and David W

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.379672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 69ddeba6-f09d-4abb-9b3b-85d2b1b5acfe · outbound

This paper cites Functional mapping of the human visual cortex by magnetic resonance imaging.Science, 254(5032):716–719.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Functional mapping of the human visual cortex by magnetic resonance imaging.Science, 254(5032):716–719

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.435054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6c98fd77-57c3-4f54-bc38-24affdba61ff · outbound

This paper cites Functional connectivity in the motor cortex of resting human brain using echo-planar mri.Magnetic resonance in medicine, 34(4):537–541.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Functional connectivity in the motor cortex of resting human brain using echo-planar mri.Magnetic resonance in medicine, 34(4):537–541

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.542681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 79a6efc9-376d-4f9f-bebb-3462e0377d12 · outbound

This paper cites Consistent resting-state networks across healthy subjects.Proceedings of the national academy of sciences, 103(37):13848–13853.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Consistent resting-state networks across healthy subjects.Proceedings of the national academy of sciences, 103(37):13848–13853

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.388029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 013f0d96-639c-4a1a-8ebe-821292bb99ca · outbound

This paper cites Resting state fmri: a personal history.Neuroimage, 62(2):938–944.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Resting state fmri: a personal history.Neuroimage, 62(2):938–944

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.547635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation beeb1a66-f023-4c82-9c32-ae40900269d3 · outbound

This paper cites The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.Molecular psychiatry, 19(6):659–667.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.Molecular psychiatry, 19(6):659–667

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.512272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a7f2ab62-c38f-4511-96e6-0a21e647ff8e · outbound

This paper cites The adhd-200 consortium: a model to advance the translational potential of neuroimaging in clinical neuroscience.Frontiers in systems neuroscience, 6:62.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI The adhd-200 consortium: a model to advance the translational potential of neuroimaging in clinical neuroscience.Frontiers in systems neuroscience, 6:62

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.426337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 415b5a88-4657-4fa3-96af-f486e5a94d6a · outbound

This paper cites Common neural patterns of substance use disorder: a seed-based resting-state functional connectivity meta-analysis.Translational Psychiatry, 15(1):190.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Common neural patterns of substance use disorder: a seed-based resting-state functional connectivity meta-analysis.Translational Psychiatry, 15(1):190

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.404807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b5133421-a434-4255-8809-3a172330f14c · outbound

This paper cites an unresolved cited work.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-16T01:17:04.507427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 64ff3062-3396-4da2-9485-91bb466beeb0 · outbound

This paper cites The history and future of resting-state functional magnetic resonance imaging.Nature, 641(8065):1121–1131.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI The history and future of resting-state functional magnetic resonance imaging.Nature, 641(8065):1121–1131

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.618004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c5fcb46c-8cc1-4014-a820-1053a283b56b · outbound

This paper cites Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.Neuroimage, 145:137–165.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.Neuroimage, 145:137–165

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.468303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cdfc949d-a9b6-4c09-acda-021e9709201e · outbound

This paper cites Cross-validation failure: Small sample sizes lead to large error bars.Neuroim- age, 180:68–77.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Cross-validation failure: Small sample sizes lead to large error bars.Neuroim- age, 180:68–77

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.559548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 118a57d0-cf69-417b-86f3-25c2b8499720 · outbound

This paper cites Resting state fmri functional connectivity-based classification using a convolutional neural network architecture.Frontiers in neuroinformatics, 11:61.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Resting state fmri functional connectivity-based classification using a convolutional neural network architecture.Frontiers in neuroinformatics, 11:61

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.450213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 50b5c368-0e19-4bfb-ae5a-770ac675503e · outbound

This paper cites 3d-cnn based discrimination of schizophrenia using resting-state fmri.Artificial intelligence in medicine, 98:10–17.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI 3d-cnn based discrimination of schizophrenia using resting-state fmri.Artificial intelligence in medicine, 98:10–17

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.649305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3b544cf6-67db-4cae-814e-8fad8a2b3099 · outbound

This paper cites The use of fmri regional analysis to automatically detect adhd through a 3d cnn-based approach.Journal of Imaging Informatics in Medicine, 38 (1):203–216.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI The use of fmri regional analysis to automatically detect adhd through a 3d cnn-based approach.Journal of Imaging Informatics in Medicine, 38 (1):203–216

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.551907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 971b2eb0-afed-43fb-811f-8c9fe762610f · outbound

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

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Identifying autism from resting-state fmri using long short-term memory networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.503205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1243668e-ddaf-4f82-af30-65ab02eed01b · outbound

This paper cites Characterization of early stage parkinson’s disease from resting-state fmri data using a long short-term memory network.Frontiers in Neuroimaging, 1:952084.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Characterization of early stage parkinson’s disease from resting-state fmri data using a long short-term memory network.Frontiers in Neuroimaging, 1:952084

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.635775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9e2bb8df-961d-474a-a2a6-c9c27ffd9cd0 · outbound

This paper cites A novel graph neural network framework for resting-state functional mri spatiotemporal dynamics analysis.Physica A: Statistical Mechanics and its Applications, 669: 130582.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI A novel graph neural network framework for resting-state functional mri spatiotemporal dynamics analysis.Physica A: Statistical Mechanics and its Applications, 669: 130582

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.464385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3e571f31-e696-4561-b1c8-746dd104705b · outbound

This paper cites Classification of brain disorders in rs-fmri via local-to-global graph neural networks.IEEE transactions on medical imaging, 42(2):444–455.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Classification of brain disorders in rs-fmri via local-to-global graph neural networks.IEEE transactions on medical imaging, 42(2):444–455

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.445371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a2b750aa-8886-4a52-a929-029ae64605f9 · outbound

This paper cites Representation learning of resting state fmri with variational autoencoder.NeuroImage, 241: 118423.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Representation learning of resting state fmri with variational autoencoder.NeuroImage, 241: 118423

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.645034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2aaafff0-2859-45ae-9a6a-34ccfcc3b731 · outbound

This paper cites Classification of mdd using a transformer classifier with large-scale multisite resting-state fmri data.Human brain mapping, 45(1):e26542.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Classification of mdd using a transformer classifier with large-scale multisite resting-state fmri data.Human brain mapping, 45(1):e26542

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.400158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3057846c-c125-4c88-b115-68d35ddaebff · outbound

This paper cites Predicting task-related brain activity from resting-state brain dynamics with fmri transformer.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Predicting task-related brain activity from resting-state brain dynamics with fmri transformer

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.527987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation db521b9b-566e-46d1-ac9f-2bfaf5c6f44f · outbound

This paper cites Current challenges in translational and clinical fmri and future directions.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Current challenges in translational and clinical fmri and future directions

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.613853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dff083ce-dcd3-441b-9fc5-8112245c8a23 · outbound

This paper cites On the generalizability of resting-state fmri machine learning classifiers.Frontiers in human neuroscience, 8:502.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI On the generalizability of resting-state fmri machine learning classifiers.Frontiers in human neuroscience, 8:502

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.459672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 53b8df6f-ce77-4481-8f5d-de10382eedcb · outbound

This paper cites Reproducible brain-wide association studies require thousands of individuals.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Reproducible brain-wide association studies require thousands of individuals

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.604715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1acdd2be-36c1-4179-8f53-3b140fc53ec3 · outbound

This paper cites SwiFT: Swin 4d fMRI transformer.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI SwiFT: Swin 4d fMRI transformer

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.621602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e613df80-b92b-4842-9a2f-cb89c661511b · outbound

This paper cites Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:50:49.918428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 00512d8c-fb8e-42ae-8aa2-a3cff6530314 · outbound

This paper cites Unsupervised contrastive graph learning for resting-state functional mri analysis and brain disorder detection.Human brain mapping, 44(17):5672–5692.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Unsupervised contrastive graph learning for resting-state functional mri analysis and brain disorder detection.Human brain mapping, 44(17):5672–5692

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.493307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ae34d96c-6db3-4d3a-97d3-7af53d01341d · outbound

This paper cites Self-supervised graph contrastive learning with diffusion augmentation for functional mri analysis and brain disorder detection.Medical image analysis, 101:103403.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Self-supervised graph contrastive learning with diffusion augmentation for functional mri analysis and brain disorder detection.Medical image analysis, 101:103403

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.555832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 33a10983-ecbf-4941-8153-f2a2ece9bc70 · outbound

This paper cites 3d masked autoencoder with spatiotemporal transformer for modeling of 4d fmri data.Medical Image Analysis, page 103861.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI 3d masked autoencoder with spatiotemporal transformer for modeling of 4d fmri data.Medical Image Analysis, page 103861

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.533990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eae00c3f-20c0-40d4-943f-75c6f5ef152a · outbound

This paper cites Deep feature extraction for resting-state functional mri by self-supervised learning and application to schizophrenia diagnosis.Frontiers in neuroscience, 15:696853.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Deep feature extraction for resting-state functional mri by self-supervised learning and application to schizophrenia diagnosis.Frontiers in neuroscience, 15:696853

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.522408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 35b7905a-2595-4b8f-ad94-c8528c108ab7 · outbound

This paper cites Computing personalized brain functional networks from fmri using self-supervised deep learning.Medical Image Analysis, 85:102756.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Computing personalized brain functional networks from fmri using self-supervised deep learning.Medical Image Analysis, 85:102756

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.538084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6fbfd909-6fd3-4e97-b209-196ba552c360 · outbound

This paper cites Whole milc: generalizing learned dynamics across tasks, datasets, and populations.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Whole milc: generalizing learned dynamics across tasks, datasets, and populations

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.487953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c733b027-8512-4131-ba60-2c766175a577 · outbound

This paper cites Detecting cognitive fatigue in subjects with traumatic brain injury from fmri scans using self-supervised learning.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Detecting cognitive fatigue in subjects with traumatic brain injury from fmri scans using self-supervised learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.370479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7268628e-ca26-41ba-b516-62fb1f9446d2 · outbound

This paper cites Graph self-supervised learning with application to brain networks analysis.IEEE Journal of Biomedical and Health Informatics, 27(8):4154–4165.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Graph self-supervised learning with application to brain networks analysis.IEEE Journal of Biomedical and Health Informatics, 27(8):4154–4165

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.654958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cdf0a4cb-7db3-43bd-8425-adec678e5e94 · outbound

This paper cites Graph convolutional network with self-supervised learning for brain disease classification.IEEE/ACM Transactions on Computational Biology and Bioinformatics, 21(6):1830–1841.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Graph convolutional network with self-supervised learning for brain disease classification.IEEE/ACM Transactions on Computational Biology and Bioinformatics, 21(6):1830–1841

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.592263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d8d88acc-5a71-493c-a200-107ff3c2d294 · outbound

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

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Swin transformer: Hierarchical vision transformer using shifted windows

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.375281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4e17a1de-3b50-4b3d-9cec-273aef07eacc · outbound

This paper cites Self-supervised transformer- based foundation model for functional magnetic resonance imaging.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Self-supervised transformer- based foundation model for functional magnetic resonance imaging

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.440137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1217a78c-2781-43d7-940e-85f1c3aa2a02 · outbound

This paper cites Causal fmri-mamba: Causal state space model for neural decoding and brain task states recognition.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Causal fmri-mamba: Causal state space model for neural decoding and brain task states recognition

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.391968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f2bacba4-8a2a-4d85-8a0a-a4a658865257 · outbound

This paper cites State-space model for brain network analysis on rs-fmri.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI State-space model for brain network analysis on rs-fmri

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.383809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c14232e6-8b89-43d8-8c40-ccc50cec5a00 · outbound

This paper cites Towards a general-purpose foundation model for functional MRI analysis.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Towards a general-purpose foundation model for functional MRI analysis

Reference 41

Resolution: metadata mismatch; doi, observed 2026-05-11T00:50:49.304130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d6f78730-f732-4019-adb7-f6924583ee0b · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Jamba: A Hybrid Transformer-Mamba Language Model

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-13T14:11:27.316872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 391e91f6-a094-444d-8d6f-a3a1c5e2f834 · outbound

This paper cites Transmamba: Flexibly switching between transformer and mamba.arXiv preprint arXiv:2503.24067, 2025b.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Transmamba: Flexibly switching between transformer and mamba.arXiv preprint arXiv:2503.24067, 2025b

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:50:49.931343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 082aed81-c528-43a7-8d4a-4a7fe30f7a83 · outbound

This paper cites Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:50:49.936564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 11f2734c-7deb-4392-8c01-922d9f5b02d8 · outbound

This paper cites An Empirical Study of Mamba-based Language Models.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI An Empirical Study of Mamba-based Language Models

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:31:04.038637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d5c5e9d3-476d-4759-ad31-4faecf7a5ae8 · outbound

This paper cites Research on autism diagnosis method based on transformer and mamba.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Research on autism diagnosis method based on transformer and mamba

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.625944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3893d8c0-1eb3-40fc-a9a5-b1aa0a126621 · outbound

This paper cites Brainmt: A hybrid mamba- transformer architecture for modeling long-range dependencies in functional mri data.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Brainmt: A hybrid mamba- transformer architecture for modeling long-range dependencies in functional mri data

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.477655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ab9322a8-e04f-4af6-a30c-5be07fca4f45 · outbound

This paper cites BrainMAE: A Region-aware Self-supervised Learning Framework for Brain Signals.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI BrainMAE: A Region-aware Self-supervised Learning Framework for Brain Signals

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:50:49.944585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 27c65b9f-c032-431d-a105-9c7438f8b69d · outbound

This paper cites Region-aware reconstruction strategy for pre-training fmri foundation model.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Region-aware reconstruction strategy for pre-training fmri foundation model

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:50:49.933933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 32635ec8-d2f7-4cb9-8aad-3a180028a5ef · outbound

This paper cites Uk biobank: bank on it.The Lancet, 369(9578):1980–1982.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Uk biobank: bank on it.The Lancet, 369(9578):1980–1982

Reference 50

Resolution: verified exact; doi, observed 2026-05-11T00:50:49.300228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 621ebef1-fe5a-46f6-9aa1-ba3fb1276d8b · outbound

This paper cites Casey, Tariq Cannonier, May I.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Casey, Tariq Cannonier, May I

Reference 51

Resolution: verified exact; doi, observed 2026-05-11T00:50:49.302115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7baf2e43-9369-4a3f-bbd7-e0a68023f11b · outbound

This paper cites The WU-Minn Human Connectome Project: An overview.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI The WU-Minn Human Connectome Project: An overview

Reference 52

Resolution: metadata mismatch; doi, observed 2026-05-11T00:50:49.298403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8dd4b590-3afc-4035-a3e0-de1f57c08680 · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Mamba: Linear-time sequence modeling with selective state spaces

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.339872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a4f47292-8f0f-4b60-9790-9db4e0c5c94c · outbound

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

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:50:49.928741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3db60941-8dbd-4738-b171-46d5e00c270f · outbound

This paper cites A comprehensive survey of mamba architectures for medical image analysis: Classifi- cation, segmentation, restoration and beyond.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI A comprehensive survey of mamba architectures for medical image analysis: Classifi- cation, segmentation, restoration and beyond

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:50:49.921122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 698226eb-c138-4f6a-868b-3b4eaeaab948 · outbound

This paper cites behind a mask.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI behind a mask

Reference 56

Resolution: metadata mismatch; doi, observed 2026-05-11T00:50:49.293658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d760d92f-b2eb-4d33-80e3-f0b5bf561552 · outbound

This paper cites A model to advance the translational potential of neuroimaging in clinical neuroscience.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI A model to advance the translational potential of neuroimaging in clinical neuroscience

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.472936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation be6c0ad5-19c1-4bec-b10f-8492a455004c · outbound

This paper cites Axiomatic attribution for deep networks.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Axiomatic attribution for deep networks

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.596843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c0373115-da4a-4aa1-8d49-af6676819a9e · outbound

This paper cites Axiomatic Attribution for Deep Networks.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Axiomatic Attribution for Deep Networks

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:50:49.915775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1605cee6-d751-4b2a-ad6c-1b1b11d2d53f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Adam: A Method for Stochastic Optimization

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:50:49.925947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c9140637-1aca-4684-a95d-e63f029bbf40 · outbound

This paper cites Resting state hyperconnectivity of the default mode network in schizophrenia and clinical high-risk state for psychosis.Cerebral Cortex, 33(13):8456–8464.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Resting state hyperconnectivity of the default mode network in schizophrenia and clinical high-risk state for psychosis.Cerebral Cortex, 33(13):8456–8464

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.631118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 05964526-b339-4429-a33f-2fc9024b8b2e · outbound

This paper cites an unresolved cited work.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Unresolved cited work

Reference 62

Resolution: verified exact; doi, observed 2026-05-11T00:50:49.291818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 42647abf-a05f-4580-84e3-28a0f3c0052d · outbound

This paper cites Woodward.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Woodward

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.395824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 12674caf-5ca0-4cec-bd21-c290fc9c303c · outbound

This paper cites Aberrant cerebello-thalamo-cortical functional and effective connectivity in first-episode schizophrenia with auditory verbal hallucinations.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Aberrant cerebello-thalamo-cortical functional and effective connectivity in first-episode schizophrenia with auditory verbal hallucinations

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.365775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2b8c52b5-44e3-41c1-96b2-e2c23c320a6f · outbound

This paper cites A CNN model for herb identification based on part priority attention mechanism.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI A CNN model for herb identification based on part priority attention mechanism

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:50:49.296478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7adc240b-a33e-4a27-bf77-d14f3f992991 · outbound

This paper cites Fair, Jonathan Posner, Bonnie J.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Fair, Jonathan Posner, Bonnie J

Reference 66

Resolution: verified exact; doi, observed 2026-05-11T00:50:49.289895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f3567e2e-4f25-42bd-a351-60c656655d63 · outbound

This paper cites A simple framework for contrastive learning of visual representations.ICML.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI A simple framework for contrastive learning of visual representations.ICML

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.600868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ff0073a8-b20b-4252-a16b-6b516c4cbf8d · outbound

This paper cites Masked autoencoders are scalable vision learners.CVPR.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Masked autoencoders are scalable vision learners.CVPR

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.587873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3a9b46da-bd1d-43f9-ab2d-e8c4945a32be · outbound

This paper cites Learning by Reconstruction Produces Uninformative Features For Perception.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Learning by Reconstruction Produces Uninformative Features For Perception

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:50:49.923677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation deb390c2-8bfa-414a-8deb-17f1232eae6d · outbound

This paper cites Local masked reconstruction for efficient self-supervised learning on high-resolution images.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Local masked reconstruction for efficient self-supervised learning on high-resolution images

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.583747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ac7ffa6e-d587-4acf-9e82-c8c02ab2d4af · outbound

This paper cites How mask matters: Towards theoretical understandings of masked autoencoders.Advances in Neural Information Processing Systems, 35:27127–27139.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI How mask matters: Towards theoretical understandings of masked autoencoders.Advances in Neural Information Processing Systems, 35:27127–27139

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.454681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8a3cf1da-d337-4c0e-adb2-b075a9d4ddc9 · outbound

This paper cites Large-scale brain networks and psychopathology: a unifying triple network model.Trends in cognitive sciences, 15(10):483–506.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Large-scale brain networks and psychopathology: a unifying triple network model.Trends in cognitive sciences, 15(10):483–506

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.563379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f53a88b2-e8bb-4cb5-9f6f-64fb11bb6f73 · outbound

This paper cites Brain networks in schizophrenia.Neuropsychology review, 24(1):32–48.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Brain networks in schizophrenia.Neuropsychology review, 24(1):32–48

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.567323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 99680763-cdc8-4450-9154-97dc8323123a · outbound

This paper cites Efficiently modeling long sequences with structured state spaces.ICLR.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Efficiently modeling long sequences with structured state spaces.ICLR

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.575094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 296804b1-a369-43dc-852e-be3db6915124 · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Mamba: Linear-time sequence modeling with selective state spaces

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.409572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 389c48b4-b388-45bb-9273-56df50459dbd · outbound

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

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Attention is all you need.Advances in neural information processing systems, 30

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.579890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1e2a6524-2c3b-45dd-b3da-366de92ea232 · outbound

This paper cites Deviant spontaneous neural activity as a potential early-response predictor for therapeutic interventions in patients with schizophrenia.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Deviant spontaneous neural activity as a potential early-response predictor for therapeutic interventions in patients with schizophrenia

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.571523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 94d960f5-2f26-4897-a5eb-b58ec3088e5c · outbound

This paper cites Lateralized brain connectivity in auditory verbal hallucinations: fmri insights into the superior and middle temporal gyri.Frontiers in Human Neuroscience, 19:1650178.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Lateralized brain connectivity in auditory verbal hallucinations: fmri insights into the superior and middle temporal gyri.Frontiers in Human Neuroscience, 19:1650178

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.640232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f3e92e48-5b4e-4702-ba1d-e2a48c44bc47 · outbound

This paper cites Structural and functional alterations of the temporal lobe in schizophrenia: a literature review.Cureus, 12(10).

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Structural and functional alterations of the temporal lobe in schizophrenia: a literature review.Cureus, 12(10)

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.421573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation be357bbb-0bc8-4574-8e9b-0cc7b1a021d9 · outbound

This paper cites Occipital alpha connectivity dur- ing resting-state electroencephalography in patients with ultra-high risk for psychosis and schizophrenia.Frontiers in psychiatry, 10:553.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Occipital alpha connectivity dur- ing resting-state electroencephalography in patients with ultra-high risk for psychosis and schizophrenia.Frontiers in psychiatry, 10:553

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.430653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1e0dd0be-843f-4145-9553-2d032b07db76 · outbound

This paper cites Neurocognitive and cerebellar function in adhd, autism and spinocerebellar ataxia.Frontiers in Systems Neuroscience, 17:1168666.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Neurocognitive and cerebellar function in adhd, autism and spinocerebellar ataxia.Frontiers in Systems Neuroscience, 17:1168666

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.413481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 28e0706e-6560-4f8c-b0fc-0764ac242f8d · outbound

This paper cites Can attention-deficit/hyperactivity disorder be considered a form of cerebellar dysfunction?Frontiers in Neuroscience, 19:1453025.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Can attention-deficit/hyperactivity disorder be considered a form of cerebellar dysfunction?Frontiers in Neuroscience, 19:1453025

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.417611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5f72805a-53a6-46d4-91a8-fe8e19390362 · outbound

This paper cites Meta-analysis of structural and functional alterations of brain in patients with attention-deficit/hyperactivity disorder.Frontiers in psychiatry, 13: 1070142.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Meta-analysis of structural and functional alterations of brain in patients with attention-deficit/hyperactivity disorder.Frontiers in psychiatry, 13: 1070142

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.360885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 33a9afa8-294b-43c6-8051-1a849f3cd259 · outbound

This paper cites Inconsistency in abnormal brain activity across cohorts of adhd-200 in children with attention deficit hyperactivity disorder.Frontiers in Neuroscience, 11:320.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Inconsistency in abnormal brain activity across cohorts of adhd-200 in children with attention deficit hyperactivity disorder.Frontiers in Neuroscience, 11:320

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.482845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 053dea16-f974-4c53-9c32-959bcfd3cf1a · outbound

This paper cites Supervised machine learning for diagnostic classification from large-scale neuroimaging datasets.Brain imaging and behavior, 14(6):2378–2416.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Supervised machine learning for diagnostic classification from large-scale neuroimaging datasets.Brain imaging and behavior, 14(6):2378–2416

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.516926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 23229e13-d3cd-4d15-8e59-d1e4b456cf9d · outbound

This paper cites an unresolved cited work.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-05-16T01:17:04.498273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 153615e0-48c0-484c-b6d8-8e336f34f3c9 · outbound

This paper cites A review of adhd detection studies with machine learning methods using rsfmri data.NMR in Biomedicine, 37(8):e5138.

Rhamba: Region-Aware Hybrid Attention-Mamba Framework for Self-Supervised Learning in Resting-State fMRI A review of adhd detection studies with machine learning methods using rsfmri data.NMR in Biomedicine, 37(8):e5138

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T01:17:04.609162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers