Paper Citation Record · LEDGER

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis

As of 21 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 2 inbound Pith citation observations for arXiv:2411.13288.

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

pith.paper-citation-record.v1
2411.13288 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:43:04.029820Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T03:23:12.696703Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T03:26:19.814449Z

Reference resolution

49 of 49 outbound references displayed

verified exact4
verified fuzzy27
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e844be0-ffb7-4c9e-91e2-4dc286bb398f · outbound

This paper cites an unresolved cited work.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:03.743588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbf3fe9e-1fd8-43da-b903-7e8fc76f37c9 · outbound

This paper cites Feature-level fusion approaches based on multimodal eeg data for depression recognition.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Feature-level fusion approaches based on multimodal eeg data for depression recognition

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:06.325050Z

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 c20dbb0d-764f-4e32-860f-96e918cf20d5 · outbound

This paper cites An eeg-based brain-computer interface for cursor control.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis An eeg-based brain-computer interface for cursor control

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:06.305202Z

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 ed7d46df-3451-400d-aa74-1be464e09506 · outbound

This paper cites Image-to-Image Translation with Conditional Adversarial Networks,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Image-to-Image Translation with Conditional Adversarial Networks,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:03.763051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfc94a11-b01a-4bee-bc5b-476fa7174644 · outbound

This paper cites Detecting large-scale networks in the human brain using high- density electroencephalography.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Detecting large-scale networks in the human brain using high- density electroencephalography

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:06.285645Z

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 4addc4a4-217d-4beb-ad4b-49b4a4866ad5 · outbound

This paper cites Hand, foot and lip representations in primary sensorimotor cortex: a high- density electroencephalography study.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Hand, foot and lip representations in primary sensorimotor cortex: a high- density electroencephalography study

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:06.265317Z

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 35529630-f858-457e-9886-c758a46a71f9 · outbound

This paper cites Using ICA for removal of ocular artifacts in EEG recorded from blind subjects.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Using ICA for removal of ocular artifacts in EEG recorded from blind subjects

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:06.244849Z

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 ae905f6e-8a7d-4e21-9ee1-5ad25ce3afeb · outbound

This paper cites Analyzing neural time series data: theory and practice.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Analyzing neural time series data: theory and practice

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:06.220380Z

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 953e7637-e32a-426d-ae7c-7b8a310488bf · outbound

This paper cites Removal of ocular artifact from the eeg : a review.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Removal of ocular artifact from the eeg : a review

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:06.199009Z

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 534e20cd-e0b7-4a9b-931e-90bc0dad0bef · outbound

This paper cites Iclabel : An automated electroencephalographic independent component classifier, dataset, and website.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Iclabel : An automated electroencephalographic independent component classifier, dataset, and website

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:06.173734Z

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 3495ccf8-6abb-479f-8083-31501922cf9b · outbound

This paper cites A novel convolutional neural network model to remove muscle artifacts from EEG,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis A novel convolutional neural network model to remove muscle artifacts from EEG,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:06.149266Z

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 0f7890b4-6aa5-4cb9-a912-a50f190dc72f · outbound

This paper cites Validation of ICA -based myogenic artifact correction for scalp and source -localized EEG.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Validation of ICA -based myogenic artifact correction for scalp and source -localized EEG

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:06.123099Z

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 d59bc5ba-35cc-4b74-8529-19e27ab2c929 · outbound

This paper cites The use of multivariate EMD and CCA for denoising muscle artifacts from few-channel EEG recordings.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis The use of multivariate EMD and CCA for denoising muscle artifacts from few-channel EEG recordings

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:06.094118Z

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 253a155e-0a82-4fcf-9edc-6f7e4682d031 · outbound

This paper cites an unresolved cited work.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:03.822915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88fc4a02-694d-476d-9e32-fbd3e42d1491 · outbound

This paper cites Validation of ica-based myogenic artifact correction for scalp and source-localized eeg.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Validation of ica-based myogenic artifact correction for scalp and source-localized eeg

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:06.064530Z

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 6b5945d3-539b-40f1-8d4a-925f32e3709b · outbound

This paper cites Validation of regression -based myogenic correction techniques for scalp and source -localized eeg.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Validation of regression -based myogenic correction techniques for scalp and source -localized eeg

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:06.015911Z

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 1f4561dd-52ba-49c9-aa5a-6f57c681ce09 · outbound

This paper cites Removal of ocular artifacts from the eeg: a comparison between time -domain regression method and adaptive filtering method using simulated data.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Removal of ocular artifacts from the eeg: a comparison between time -domain regression method and adaptive filtering method using simulated data

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:05.987691Z

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 a4b650e1-975c-4bca-ac1c-1f03edfc05ac · outbound

This paper cites Removal of muscle artifacts from the eeg: a review and recommendations.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Removal of muscle artifacts from the eeg: a review and recommendations

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:05.961559Z

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 7f7ebf8b-5161-4067-8e54-c0e16e0ca14b · outbound

This paper cites Independent component analysis: algorithms and applications.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Independent component analysis: algorithms and applications

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:03.850997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78031045-e2b5-4162-9272-dafde65d53d1 · outbound

This paper cites Deep residual learning for image recognition.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Deep residual learning for image recognition

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:03.856499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a0292ea-af7f-4740-899e-a8f27b171689 · outbound

This paper cites Attention is all you need.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Attention is all you need

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:03.863384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df581b15-c0bf-4f3f-a92e-3ed1d09ad49d · outbound

This paper cites Deep learning -based electroencephalography analysis: a systematic review.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Deep learning -based electroencephalography analysis: a systematic review

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:05.890647Z

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 509052c3-1ddb-4dea-acd8-b519f1dc7f40 · outbound

This paper cites Rethinking the inception architecture for computer vision.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Rethinking the inception architecture for computer vision

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:05.866731Z

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 e041e691-66fa-456f-a2dd-fd236f6db910 · outbound

This paper cites Generative adversarial networks-based data augmentation for brain- computer interface.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Generative adversarial networks-based data augmentation for brain- computer interface

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:05.846506Z

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 85fbf773-3ed2-4b0d-8e19-6ee3792851fe · outbound

This paper cites Automatic ocular artifacts removal in eeg using deep learning.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Automatic ocular artifacts removal in eeg using deep learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:05.826287Z

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 6124c635-d056-4793-93b9-11259bf7c593 · outbound

This paper cites A novel end-to-end 1D-ResCNN model to remove the artifacts from EEG signals.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis A novel end-to-end 1D-ResCNN model to remove the artifacts from EEG signals

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:05.796788Z

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 9f21887e-392f-430d-8533-da651b3c428a · outbound

This paper cites an unresolved cited work.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:03.900513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db9058d6-e2ec-45b3-b734-aecc3dfb3317 · outbound

This paper cites EZSL -GAN: EEG-based Zero-Shot Learning approach using a Generative Adversarial Network,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis EZSL -GAN: EEG-based Zero-Shot Learning approach using a Generative Adversarial Network,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:03.906472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51c18b23-187f-4972-9285-82851f2f42d2 · outbound

This paper cites EEG data augmentation using Wasserstein GAN,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis EEG data augmentation using Wasserstein GAN,

Reference 29

Resolution: verified exact; raw_fallback, observed 2026-08-12T16:43:05.420921Z

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 8d07ccd2-8c5e-4ab8-822a-0def9dd88a7c · outbound

This paper cites EEG2IMAGE: Image Reconstruction from EEG Brain Signals,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis EEG2IMAGE: Image Reconstruction from EEG Brain Signals,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:03.918411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34a8a511-e685-42f0-976f-a7d7260f0c79 · outbound

This paper cites K., Mrachacz -Kersting, N., and Guan, C.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis K., Mrachacz -Kersting, N., and Guan, C

Reference 31

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T16:43:05.236229Z

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 d3825326-9ab1-4e49-9528-f8768cca8b9f · outbound

This paper cites A GAN Guided Parallel CNN and Transformer Network for EEG Denoising,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis A GAN Guided Parallel CNN and Transformer Network for EEG Denoising,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:03.930331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2804a2ed-263d-43dc-b403-0722374be042 · outbound

This paper cites Cross-Subject EEG Feedback for Implicit Image Generation,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Cross-Subject EEG Feedback for Implicit Image Generation,

Reference 33

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T16:43:04.952377Z

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 e33c2e87-feee-427e-b6bb-1ed3303d018a · outbound

This paper cites Denoising time series data using asymmetric generative adversarial networks,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Denoising time series data using asymmetric generative adversarial networks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:05.770069Z

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 1514b304-147f-4011-a4eb-f6ce07de1d80 · outbound

This paper cites A noise removal approach from eeg recordings based on variational autoencoders,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis A noise removal approach from eeg recordings based on variational autoencoders,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:05.746611Z

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 34f589fe-7bfb-4c0c-b866-c5ad0d58ba40 · outbound

This paper cites EEG denoising using wavelet packet decomposition and independent component analysis,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis EEG denoising using wavelet packet decomposition and independent component analysis,

Reference 36

Resolution: verified exact; raw_fallback, observed 2026-08-12T16:43:04.855287Z

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 4eff2ed0-9dee-479b-8023-28cf52542805 · outbound

This paper cites A Novel Convolutional Neural Network Model to Remove Muscle Artifacts from EEG,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis A Novel Convolutional Neural Network Model to Remove Muscle Artifacts from EEG,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:03.960296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 783ce5a2-41fd-4442-8ac5-a8ac0674056c · outbound

This paper cites A Segmentation-Denoising Network for Artifact Removal From Single -Channel EEG,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis A Segmentation-Denoising Network for Artifact Removal From Single -Channel EEG,

Reference 38

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T16:43:04.674779Z

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 3d3048f9-1d93-4216-a561-0daefdc02adb · outbound

This paper cites EEGANet: Removal of ocular artifact from the EEG signal using generative adversarial networks.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis EEGANet: Removal of ocular artifact from the EEG signal using generative adversarial networks

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:05.719591Z

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 3d237d67-d77a-4daf-8400-6e7759027eea · outbound

This paper cites Linknet: Exploiting encoder representations for efficient semantic segmentation.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Linknet: Exploiting encoder representations for efficient semantic segmentation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:05.696534Z

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 3b57e4ba-850d-4fdf-b6ad-3a002a87d89e · outbound

This paper cites UNet++: A Nested U -Net Architecture for Medical Image Segmentation.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis UNet++: A Nested U -Net Architecture for Medical Image Segmentation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:05.671733Z

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 faef2961-20d8-46fe-a8a0-a99a87c493b7 · outbound

This paper cites Sampling rate, signal bandwidth and related pitfalls in EEG analysis.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Sampling rate, signal bandwidth and related pitfalls in EEG analysis

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:05.642753Z

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 1bf852da-5a9f-45e1-850e-ba460752c407 · outbound

This paper cites Total Variation Denoising techniques for artifact removal from EEG signals,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Total Variation Denoising techniques for artifact removal from EEG signals,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:03.994326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc155c9c-64da-44cb-aca5-09bfca155ba1 · outbound

This paper cites Hilbert-Huang Transform based hierarchical clustering for EEG denoising,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Hilbert-Huang Transform based hierarchical clustering for EEG denoising,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:43:05.618491Z

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 23919c5b-f4ee-47e7-9c30-a1187d27587d · outbound

This paper cites Frequency Information Enhanced Deep EEG Denoising Network for Ocular Artifact Removal,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Frequency Information Enhanced Deep EEG Denoising Network for Ocular Artifact Removal,

Reference 45

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T16:43:04.499455Z

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 5770f541-5c13-45bf-98ed-f37ed324e138 · outbound

This paper cites Machine Learning -Driven Threshold Optimization for Wavelet Packet Denoising in EEG -Based Mental State Classification,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Machine Learning -Driven Threshold Optimization for Wavelet Packet Denoising in EEG -Based Mental State Classification,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:04.011982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3de9af3-7f94-4fb7-9fa8-5a04bfdcb17e · outbound

This paper cites Motion Artifacts Suppression From EEG Signals Using an Adaptive Signal Denoising Method,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Motion Artifacts Suppression From EEG Signals Using an Adaptive Signal Denoising Method,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T16:43:04.017550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7093c024-f986-42f7-81f3-5898566c9a22 · outbound

This paper cites Mth Order FIR Filtering for EEG Denoising Using Adaptive Recursive Least Squares Algorithm,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis Mth Order FIR Filtering for EEG Denoising Using Adaptive Recursive Least Squares Algorithm,

Reference 48

Resolution: verified exact; doi, observed 2026-08-12T16:43:04.075038Z

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 20163151-f3f6-42d3-8799-f9736d48730b · outbound

This paper cites EEG Signals Denoising Using Bayesian Estimation,.

EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis EEG Signals Denoising Using Bayesian Estimation,

Reference 49

Resolution: verified exact; raw_fallback, observed 2026-08-12T16:43:04.260074Z

Source-reported events for the cited work

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

Pith citing papers

Observation cd7e7d29-96d6-4f2e-88ba-40057969df55 · inbound

BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal cites this paper.

BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:56:31.893655Z

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 79842654-2a82-483c-8947-d1f1d744bdcd · inbound

BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal cites this paper.

BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:26:19.816295Z

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.