High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework | Paper Citation Record

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High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Unresolved cited work

Reference 1

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High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Unresolved cited work

Reference 2

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High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Unresolved cited work

Reference 3

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This paper cites We employed the AdamW optimizer [55], an extension of the Adam optimizer that improves weight decay regularization, with hyperparameters set toβ 1 = 0.9and β2 = 0.999.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework We employed the AdamW optimizer [55], an extension of the Adam optimizer that improves weight decay regularization, with hyperparameters set toβ 1 = 0.9and β2 = 0.999

Reference 4

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This paper cites Deep-fus: A deep learning platform for functional ultrasound imaging of the brain using sparse data,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Deep-fus: A deep learning platform for functional ultrasound imaging of the brain using sparse data,

Reference 5

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This paper cites M2trans: Multi-modal regularized coarse-to-fine transformer for ultra- sound image super-resolution,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework M2trans: Multi-modal regularized coarse-to-fine transformer for ultra- sound image super-resolution,

Reference 6

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This paper cites Functional ultrasound localization microscopy reveals brain- wide neurovascular activity on a microscopic scale,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Functional ultrasound localization microscopy reveals brain- wide neurovascular activity on a microscopic scale,

Reference 7

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This paper cites Ht-rcm: Hashimoto’s thyroiditis ultrasound image classification model based on res-fct and res-cam,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Ht-rcm: Hashimoto’s thyroiditis ultrasound image classification model based on res-fct and res-cam,

Reference 8

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Observation d5e47f5c-6496-4127-83f9-468a2251029d · outbound

This paper cites Taichinet: Negative-positive cross-attention network for breast lesion segmentation in ultrasound images,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Taichinet: Negative-positive cross-attention network for breast lesion segmentation in ultrasound images,

Reference 9

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This paper cites Func- tional ultrasound imaging of human brain activity through an acous- tically transparent cranial window,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Func- tional ultrasound imaging of human brain activity through an acous- tically transparent cranial window,

Reference 10

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Observation c1fa9b4b-e57b-4a28-9c3b-3e74225145a2 · outbound

This paper cites Whole-brain functional ultrasound imaging in awake head- fixed mice,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Whole-brain functional ultrasound imaging in awake head- fixed mice,

Reference 11

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Observation 8abbb35a-1527-4b73-9ee4-a154af91a478 · outbound

This paper cites Integrating genome-wide association and transcriptome prediction model identifies novel target genes for osteoporosis,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Integrating genome-wide association and transcriptome prediction model identifies novel target genes for osteoporosis,

Reference 12

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Observation 730c0c6a-2da5-4b29-a2d0-a9dc2c20dd48 · outbound

This paper cites Prior-guided adver- sarial learning with hypergraph for predicting abnormal connections in alzheimer’s disease,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Prior-guided adver- sarial learning with hypergraph for predicting abnormal connections in alzheimer’s disease,

Reference 13

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This paper cites Bdht: Generative ai enables causality analysis for mild cognitive impairment,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Bdht: Generative ai enables causality analysis for mild cognitive impairment,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:27.469911Z

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This paper cites Eeg and functional ultrasound imaging in mobile rats,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Eeg and functional ultrasound imaging in mobile rats,

Reference 15

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Observation bf78daf5-a2d4-4b51-bcf3-ba65678657c8 · outbound

This paper cites Neuroimaging retrieval via adaptive ensemble manifold learning for brain disease diagnosis,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Neuroimaging retrieval via adaptive ensemble manifold learning for brain disease diagnosis,

Reference 16

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Observation 4a1c03bc-ce95-4b6a-87df-f54a87cde7d4 · outbound

This paper cites Adaptive cross-feature fusion network with inconsistency guidance for multi- modal brain tumor segmentation,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Adaptive cross-feature fusion network with inconsistency guidance for multi- modal brain tumor segmentation,

Reference 17

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Observation d9f24583-f246-4eaa-bf3d-57fabe7b105b · outbound

This paper cites Single-trial decoding of movement intentions using functional ultrasound neuroimaging,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Single-trial decoding of movement intentions using functional ultrasound neuroimaging,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:27.757574Z

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This paper cites Scdm: Unified representation learning for eeg-to-fnirs cross-modal generation in mi-bcis,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Scdm: Unified representation learning for eeg-to-fnirs cross-modal generation in mi-bcis,

Reference 19

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This paper cites Catd: Unified representation learning for eeg-to-fmri cross-modal generation,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Catd: Unified representation learning for eeg-to-fmri cross-modal generation,

Reference 20

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This paper cites Bidirectional mapping generative adversarial networks for brain mr to pet synthesis,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Bidirectional mapping generative adversarial networks for brain mr to pet synthesis,

Reference 21

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Observation 7c612b0a-702f-46b9-ad32-fe376e4f8702 · outbound

This paper cites Fine perceptive gans for brain mr image super- resolution in wavelet domain,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Fine perceptive gans for brain mr image super- resolution in wavelet domain,

Reference 22

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Observation eab7bbb2-5eda-456f-8389-fbaa6373ffc4 · outbound

This paper cites Generative ai enables eeg super-resolution via spatio-temporal adaptive diffusion learning,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Generative ai enables eeg super-resolution via spatio-temporal adaptive diffusion learning,

Reference 23

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This paper cites Progressive sub- band residual-learning network for mr image super resolution,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Progressive sub- band residual-learning network for mr image super resolution,

Reference 24

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This paper cites Brain mr images super- resolution with the consistent features,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Brain mr images super- resolution with the consistent features,

Reference 25

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This paper cites Addictive brain-network AUTHOR et al.: TITLE 13 identification by spatial attention recurrent network with feature selec- tion,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Addictive brain-network AUTHOR et al.: TITLE 13 identification by spatial attention recurrent network with feature selec- tion,

Reference 26

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This paper cites Addiction-related brain networks identification via graph diffusion reconstruction network,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Addiction-related brain networks identification via graph diffusion reconstruction network,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:26.075555Z

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This paper cites Enhanced generative adversarial network and target sample recognition method,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Enhanced generative adversarial network and target sample recognition method,

Reference 28

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This paper cites A new brain network construction paradigm for brain disorder via diffusion-based graph contrastive learning,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework A new brain network construction paradigm for brain disorder via diffusion-based graph contrastive learning,

Reference 29

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Observation 791010ab-e46a-4150-b234-dedf862589a3 · outbound

This paper cites Es- timating addiction-related brain connectivity by prior-embedding graph generative adversarial networks,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Es- timating addiction-related brain connectivity by prior-embedding graph generative adversarial networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:26.778153Z

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Observation 6cdae9f0-f6cf-4e00-ad65-e0181851acc8 · outbound

This paper cites Dec- gan: Decoupling generative adversarial network for detecting abnormal neural circuits in alzheimer’s disease,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Dec- gan: Decoupling generative adversarial network for detecting abnormal neural circuits in alzheimer’s disease,

Reference 31

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This paper cites Adversarial learning based structural brain-network generative model for analyzing mild cognitive impairment,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Adversarial learning based structural brain-network generative model for analyzing mild cognitive impairment,

Reference 32

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This paper cites Functional ultrasound neu- roimaging,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Functional ultrasound neu- roimaging,

Reference 33

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This paper cites Functional ultrasound imaging of the brain,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Functional ultrasound imaging of the brain,

Reference 34

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This paper cites Functional ultrasound imaging of brain activity in human newborns,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Functional ultrasound imaging of brain activity in human newborns,

Reference 35

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Observation 621f9e15-149f-43fc-85ae-e47a8008e143 · outbound

This paper cites Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Reference 36

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This paper cites Towards fairness-aware and privacy-preserving enhanced collaborative learning for healthcare,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Towards fairness-aware and privacy-preserving enhanced collaborative learning for healthcare,

Reference 37

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This paper cites Enhancing fairness in ai-enabled medical systems with the attribute neutral framework,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Enhancing fairness in ai-enabled medical systems with the attribute neutral framework,

Reference 38

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This paper cites Achieving flexible fairness metrics in federated medical imaging,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Achieving flexible fairness metrics in federated medical imaging,

Reference 39

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Observation a4c87033-bae4-45d3-8581-337a0ce72594 · outbound

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High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Unresolved cited work

Reference 40

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This paper cites STAR: Scale-wise Text-conditioned AutoRegressive image generation.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework STAR: Scale-wise Text-conditioned AutoRegressive image generation

Reference 41

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This paper cites M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation

Reference 42

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This paper cites Bedside functional monitoring of the dynamic brain connectivity in human neonates,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Bedside functional monitoring of the dynamic brain connectivity in human neonates,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:24.397017Z

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This paper cites an unresolved cited work.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Unresolved cited work

Reference 44

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Observation d7830edf-912c-4e0f-84f2-6daeae24be79 · outbound

This paper cites Functional ultrasound (fus) during awake brain surgery: the clin- ical potential of intra-operative functional and vascular brain mapping,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Functional ultrasound (fus) during awake brain surgery: the clin- ical potential of intra-operative functional and vascular brain mapping,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:24.178830Z

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Observation 71ea9136-adb0-47a6-bbb1-3cda9f0bfa14 · outbound

This paper cites Functional ultrasound imaging of the human spinal cord,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Functional ultrasound imaging of the human spinal cord,

Reference 46

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Observation 6b182f23-3ef6-4585-b292-45766c2c9610 · outbound

This paper cites Conditional reconstruction is achieved by in- corporating class embeddings that guide the reconstruction process.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Conditional reconstruction is achieved by in- corporating class embeddings that guide the reconstruction process

Reference 47

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Observation 7dc3b8dd-b9ee-4c5c-bd69-91be61dfc7c7 · outbound

This paper cites The emergence of functional ultrasound for noninvasive brain–computer interface,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework The emergence of functional ultrasound for noninvasive brain–computer interface,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:23.767913Z

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Observation 0d878182-2f15-4d3f-8bd3-5a643419252a · outbound

This paper cites P09. 02. aa window to the brain: Monitoring the human brain using functional ultrasound (fus)-imaging in freely moving subjects with an acoustically favorable skull implant,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework P09. 02. aa window to the brain: Monitoring the human brain using functional ultrasound (fus)-imaging in freely moving subjects with an acoustically favorable skull implant,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:23.581251Z

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Observation 1e4b70dc-e21f-4f7f-ad8e-b513230f332b · outbound

This paper cites ImageFolder: Autoregressive Image Generation with Folded Tokens.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework ImageFolder: Autoregressive Image Generation with Folded Tokens

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:16.912616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 208550cd-6cdc-4865-90b9-e8aab65d780f · outbound

This paper cites XQ-GAN: An Open-source Image Tokenization Framework for Autoregressive Generation.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework XQ-GAN: An Open-source Image Tokenization Framework for Autoregressive Generation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:17.054731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2525d4d2-6778-4f66-8d5c-3f69ded722c1 · outbound

This paper cites Conditional diffusion model-based data augmentation for alzheimer’s prediction,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Conditional diffusion model-based data augmentation for alzheimer’s prediction,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:23.339904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d5fb34b0-2b5a-4ff6-b908-c5278ff07044 · outbound

This paper cites Neural discrete representation learning,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Neural discrete representation learning,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:23.132162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 224b4f1f-9ce2-4806-bede-60805e819f84 · outbound

This paper cites Attention is all you need,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Attention is all you need,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:17.412502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a04da235-7dfd-4ebd-ae80-70b93d568e1e · outbound

This paper cites Uwformer: Underwater image enhancement via a semi-supervised multi-scale trans- former,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Uwformer: Underwater image enhancement via a semi-supervised multi-scale trans- former,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:17.534669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a06f3656-338e-424d-819c-bfa3d6b629f6 · outbound

This paper cites Underwater image restoration through a prior guided hybrid sense approach and extensive benchmark analysis,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Underwater image restoration through a prior guided hybrid sense approach and extensive benchmark analysis,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:22.848542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7fa41d92-bb5f-49f7-a435-e1b7635172a7 · outbound

This paper cites Learning structured output representa- tion using deep conditional generative models,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Learning structured output representa- tion using deep conditional generative models,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:22.681758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8ceb92c0-3d1f-4dbb-9331-ccf814acaa64 · outbound

This paper cites Large scale GAN training for high fidelity natural image synthesis,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Large scale GAN training for high fidelity natural image synthesis,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:17.841501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77c19b11-7bda-4327-a173-24abd8c1af3f · outbound

This paper cites Stylegan-xl: Scaling stylegan to large diverse datasets,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Stylegan-xl: Scaling stylegan to large diverse datasets,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:22.489430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b7c002db-4a5b-49b0-8387-9dc43b6600bf · outbound

This paper cites Taming transformers for high- resolution image synthesis,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Taming transformers for high- resolution image synthesis,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:18.033873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4cec0da-16fb-4e27-b6c9-a1e28cc68334 · outbound

This paper cites Scalable diffusion models with transformers,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Scalable diffusion models with transformers,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:18.150734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 178e66c3-98cd-4c0f-8603-09c023376c2f · outbound

This paper cites Decoupled Weight Decay Regularization.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Decoupled Weight Decay Regularization

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:18.238755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbf3ec3a-2aea-470d-a837-0b933a7001db · outbound

This paper cites SGDR: stochastic gradient descent with warm restarts,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework SGDR: stochastic gradient descent with warm restarts,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:22.207968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6ad4333a-e87d-4f41-aad4-a2d3df097d02 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Image quality assessment: from error visibility to structural similarity,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:18.415716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d2d20a4-c29e-465c-b911-5e5e9a3e1092 · outbound

This paper cites Multiscale structural similarity for image quality assessment,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Multiscale structural similarity for image quality assessment,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:22.042969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 489afe04-3812-4e14-9271-ff6b9538faf7 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:18.624966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2629d0f-e217-4d7c-bbda-d8cd71c13afc · outbound

This paper cites Flexible brain–computer interfaces,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Flexible brain–computer interfaces,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:21.780672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6583a6bc-e800-45df-8d76-7aab924d7f56 · outbound

This paper cites Interface, interaction, and in- telligence in generalized brain–computer interfaces,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Interface, interaction, and in- telligence in generalized brain–computer interfaces,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:21.628270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e5c9eb45-d7c6-4205-b248-5372ae3fd332 · outbound

This paper cites The current re- search of combining multi-modal brain-computer interfaces with virtual reality,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework The current re- search of combining multi-modal brain-computer interfaces with virtual reality,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:21.416782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c240a052-bc72-43a5-80ce-7b5665f6f57b · outbound

This paper cites Neuromodulation of brain states,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Neuromodulation of brain states,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:19.050354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 742d9917-61b1-4dfd-beeb-3a92e2427390 · outbound

This paper cites Neuromodulation for chronic pain,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Neuromodulation for chronic pain,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:21.247780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c1bd2cd9-389f-4c00-b667-172fd91057a2 · outbound

This paper cites Neuro- modulation in epilepsy: state-of-the-art approved therapies,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Neuro- modulation in epilepsy: state-of-the-art approved therapies,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:20.995246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9367322d-79f5-488f-8ff6-28a8f0bdb195 · outbound

This paper cites Multi-modal mood reader: Pre-trained model empowers cross-subject emotion recognition,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Multi-modal mood reader: Pre-trained model empowers cross-subject emotion recognition,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:20.848964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bcd9de86-889a-489f-9ca3-1428c1645de5 · outbound

This paper cites Smart diagnosis assistance method to solve results of inaccurate classification of image, and terminal based on medical images,.

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework Smart diagnosis assistance method to solve results of inaccurate classification of image, and terminal based on medical images,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:40:20.693750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Reference resolution

Outbound references

Pith citing papers