EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection | Paper Citation Record

Observation a441ee6a-daea-45e3-83fd-7222cd3509da · outbound

This paper cites World health statistics 2022: monitoring health for the sdgs, sustainable development goals,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection World health statistics 2022: monitoring health for the sdgs, sustainable development goals,

Reference 1

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Observation fc2babac-3639-4dee-83f0-add529f1114a · outbound

This paper cites Projections of global mortality and burden of disease from 2002 to 2030,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Projections of global mortality and burden of disease from 2002 to 2030,

Reference 2

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Observation 8d036aea-b17d-4de5-82ba-bf3693321368 · outbound

This paper cites Whoglobalprogressreportontuberculosiselimination,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Whoglobalprogressreportontuberculosiselimination,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:46.270822Z

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Observation 08d4e406-ba80-4526-9711-ce203954a548 · outbound

This paper cites The global impact of respiratory disease–second edition. sheffield, european respiratory society,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection The global impact of respiratory disease–second edition. sheffield, european respiratory society,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:46.261634Z

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Observation 40113545-27ec-49d7-9fc4-bd1c1b589ec9 · outbound

This paper cites Fundamentals of lung auscultation,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Fundamentals of lung auscultation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:46.251572Z

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Observation 96e0a465-314d-48a0-ba8f-d8bac637d595 · outbound

This paper cites New parameters for respiratory sound classification,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection New parameters for respiratory sound classification,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:46.242182Z

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Observation 9ef174d1-2b1a-4bda-94c7-18a674f6ee06 · outbound

This paper cites Lungattn: advanced lung sound classification using attention mechanism with dual tqwt and triple stft spectrogram,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Lungattn: advanced lung sound classification using attention mechanism with dual tqwt and triple stft spectrogram,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:46.232640Z

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Observation 0f095d95-c668-4492-82ae-3e0455dbf094 · outbound

This paper cites A lightweight cnn model for detecting respiratory diseases from lung auscultation sounds using emd-cwt-based hybrid scalogram,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection A lightweight cnn model for detecting respiratory diseases from lung auscultation sounds using emd-cwt-based hybrid scalogram,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:46.222851Z

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Observation 56afe8dd-0432-4e2c-b792-a6e78a28854a · outbound

This paper cites Classificationofauscultation sounds into objective spirometry findings using mvmd and 3d cnn,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Classificationofauscultation sounds into objective spirometry findings using mvmd and 3d cnn,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:46.213692Z

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Observation 75fa1868-65d0-4dbe-96d1-57c6890c8c21 · outbound

This paper cites Arsc-net: Adventitious respiratory sound classification network using parallel paths with channel-spatial attention,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Arsc-net: Adventitious respiratory sound classification network using parallel paths with channel-spatial attention,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:46.204292Z

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Observation 35726d63-cf28-40b4-9084-0ce6ddda528b · outbound

This paper cites Lung sounds classifica- tion using convolutional neural networks,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Lung sounds classifica- tion using convolutional neural networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:46.076597Z

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Observation e03c5de1-83d5-4bdf-8a25-52f9f0253d72 · outbound

This paper cites Triple-classification of respiratory sounds using optimized s-transform and deep residual networks,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Triple-classification of respiratory sounds using optimized s-transform and deep residual networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:45.914469Z

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Observation 8a37b51c-732d-40e0-bbe9-6365b66e1151 · outbound

This paper cites Auto- matic classification of large-scale respiratory sound dataset based on convolutionalneuralnetwork,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Auto- matic classification of large-scale respiratory sound dataset based on convolutionalneuralnetwork,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:45.748455Z

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Observation b4087b7e-cfd4-4e25-98f9-1a479069191e · outbound

This paper cites Lung- brn: A smart digital stethoscope for detecting respiratory disease using bi-resnet deep learning algorithm,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Lung- brn: A smart digital stethoscope for detecting respiratory disease using bi-resnet deep learning algorithm,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:45.587907Z

Source-reported events for the cited work

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Observation cba5963a-cae6-4637-bca9-332174b1f272 · outbound

This paper cites Gammatonegrambasedtriple classificationoflungsoundsusingdeepconvolutionalneuralnetwork with transfer learning,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Gammatonegrambasedtriple classificationoflungsoundsusingdeepconvolutionalneuralnetwork with transfer learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:45.404202Z

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Observation 63ba8b44-7eca-448d-b952-01aa86ab7308 · outbound

This paper cites Feature extraction of lung sounds based on bispectrum analysis,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Feature extraction of lung sounds based on bispectrum analysis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:45.220558Z

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Observation 82ab6709-e38a-4cbe-bd05-6a6e467aec14 · outbound

This paper cites A comparison of svm and gmm-based classifier configurations for diagnostic classification of pulmonary sounds,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection A comparison of svm and gmm-based classifier configurations for diagnostic classification of pulmonary sounds,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:45.091529Z

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Observation 75abc414-ab18-4e84-b76c-7d85818864b5 · outbound

This paper cites Incorporating support vector machine to the classification of respi- ratory sounds by convolutional neural network,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Incorporating support vector machine to the classification of respi- ratory sounds by convolutional neural network,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:44.914427Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 41de1653-617b-4e4c-8a2a-a952e80c0adb · outbound

This paper cites Deep learning and feature fusion-based lung sound recognition model to diagnoses the respiratory diseases,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Deep learning and feature fusion-based lung sound recognition model to diagnoses the respiratory diseases,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:44.781131Z

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Observation 4bd1964e-82cc-427c-8aec-8706f33c57ae · outbound

This paper cites Super-cough: A super learner-based ensemble machine learning method for detecting disease on cough acousticsignals,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Super-cough: A super learner-based ensemble machine learning method for detecting disease on cough acousticsignals,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:44.579693Z

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Observation 7de44846-52b2-4b63-92a8-2965ed9c06bf · outbound

This paper cites Patch-level contrastive embedding learning for respiratory sound classification,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Patch-level contrastive embedding learning for respiratory sound classification,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:44.425854Z

Source-reported events for the cited work

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Observation fdba3360-ca96-47fc-abde-4c25d6ab1e24 · outbound

This paper cites Contrastive embeddind learning method for respiratory sound classification,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Contrastive embeddind learning method for respiratory sound classification,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:44.261507Z

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Observation 16873adc-9977-4caf-8ed7-2f81e0dcc579 · outbound

This paper cites Patch-mix contrastive learning with audio spectrogram transformer on respiratory sound classification,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Patch-mix contrastive learning with audio spectrogram transformer on respiratory sound classification,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:44.004733Z

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Observation 96ccc65f-e52b-4a64-87d4-b36e836b0616 · outbound

This paper cites Pretraining respiratory sound repre- sentations using metadata and contrastive learning,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Pretraining respiratory sound repre- sentations using metadata and contrastive learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:43.825342Z

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Observation 68ab5547-85b0-47e4-9d96-c3a96cbba3d0 · outbound

This paper cites Audioevent- relational graph representation learning for acoustic scene classifica- tion,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Audioevent- relational graph representation learning for acoustic scene classifica- tion,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:43.592156Z

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Observation 725020ed-6c57-41b1-a7d9-fbb6ae4d0456 · outbound

This paper cites Graph-based audio classifica- tion using pre-trained models and graph neural networks,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Graph-based audio classifica- tion using pre-trained models and graph neural networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:43.454883Z

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Observation 7e065d99-5072-4cf3-89a4-6e6c2174d24c · outbound

This paper cites Soundeventdetectionintrafficscenesbasedongraphconvolutional network to obtain multi-modal information,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Soundeventdetectionintrafficscenesbasedongraphconvolutional network to obtain multi-modal information,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:43.282208Z

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Observation 66d2813d-8c0f-4692-b49f-2d9bb0797857 · outbound

This paper cites Sound event detection utilizing graph laplacianregularizationwitheventco-occurrence,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Sound event detection utilizing graph laplacianregularizationwitheventco-occurrence,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:43.087574Z

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Observation 4fb4c9c7-b8d4-4357-8eb7-0381cd785132 · outbound

This paper cites Musicy- olo: A vision-based framework for automatic singing transcription,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Musicy- olo: A vision-based framework for automatic singing transcription,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:42.866746Z

Source-reported events for the cited work

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Observation c87f641e-8bf2-4367-8ed1-80aa26e56d42 · outbound

This paper cites Musicyolo: A sight- singingonset/offsetdetectionframeworkbasedonobjectdetectionin- steadofspectrumframes,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Musicyolo: A sight- singingonset/offsetdetectionframeworkbasedonobjectdetectionin- steadofspectrumframes,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:42.564214Z

Source-reported events for the cited work

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Observation 03a38025-0e7d-4ad3-a4e7-c34c9497bb08 · outbound

This paper cites You only hear once: a yolo-like algorithm for audio segmentation and sound event detec- tion,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection You only hear once: a yolo-like algorithm for audio segmentation and sound event detec- tion,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:42.361452Z

Source-reported events for the cited work

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Observation 8eb28a28-2135-44d7-86f8-410340ac57ff · outbound

This paper cites R-crnn: Region-based convolutional recurrent neural network for audio event detection,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection R-crnn: Region-based convolutional recurrent neural network for audio event detection,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:42.137155Z

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Observation 53e6a382-70a1-488b-91d2-19ee7d58154c · outbound

This paper cites Sound Event Detection Transformer: An Event-based End-to-End Model for Sound Event Detection.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Sound Event Detection Transformer: An Event-based End-to-End Model for Sound Event Detection

Reference 33

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Observation d25d5e3e-277c-431b-96fd-44c9fabf2d4c · outbound

This paper cites Metrics for polyphonic sound event detection,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Metrics for polyphonic sound event detection,

Reference 34

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Observation 0035570c-e885-4c07-8dcf-b45a54987b8a · outbound

This paper cites Improvingsoundeventdetectionmetrics:insights from dcase 2020,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Improvingsoundeventdetectionmetrics:insights from dcase 2020,

Reference 35

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Observation 1284e791-0e44-4ea2-a71d-1d9652c4e4be · outbound

This paper cites A framework for the robust evaluation of sound event detection,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection A framework for the robust evaluation of sound event detection,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:41.812987Z

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Observation 440759e5-51ab-4a28-8e96-7fa3cd1ed0f1 · outbound

This paper cites Graph-based semi- supervised one class support vector machine for detecting abnor- mal lung sounds,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Graph-based semi- supervised one class support vector machine for detecting abnor- mal lung sounds,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:41.715122Z

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Observation efbc6a46-3af4-492b-8c25-3ca06535ed7f · outbound

This paper cites Analysisofunlabeledlungsound samples using semi-supervised convolutional neural networks,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Analysisofunlabeledlungsound samples using semi-supervised convolutional neural networks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:41.596809Z

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Observation a50103fb-3f62-4b68-b4e8-ce76d03d5bfd · outbound

This paper cites Convolutional neural network for breathing phase detection in lung sounds,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Convolutional neural network for breathing phase detection in lung sounds,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:41.482194Z

Source-reported events for the cited work

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Observation 30d13604-1f5d-478b-88da-1da19f7ccb52 · outbound

This paper cites Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open- access lung sound database—hf_lung_v1,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open- access lung sound database—hf_lung_v1,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:41.376318Z

Source-reported events for the cited work

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Observation 89748b07-8e70-4fd1-bf1f-64ac0ccfc871 · outbound

This paper cites A dual- purpose deep learning model for auscultated lung and tracheal sound analysis based on mixed set training,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection A dual- purpose deep learning model for auscultated lung and tracheal sound analysis based on mixed set training,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:41.201234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 91b3f45f-0ae0-4a56-b021-cf8c3f5de5ad · outbound

This paper cites A novel ai- inspired method and system implementation for detecting and clas- sifyingpediatricrespiratorysoundevents,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection A novel ai- inspired method and system implementation for detecting and clas- sifyingpediatricrespiratorysoundevents,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:41.063494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e23126d8-38e7-43f3-b3eb-c403dcc84c97 · outbound

This paper cites Meta: Data compression and event detection grand challenge 2024 with sprsound dataset,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Meta: Data compression and event detection grand challenge 2024 with sprsound dataset,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:40.931536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 10a9b17c-1ea2-4f81-ba21-180ccc6fc5b2 · outbound

This paper cites Automaticdiagnosisofglaucoma using two-dimensional fourier-bessel series expansion based empiri- cal wavelet transform,.

EZhouNet:A framework based on graph neural network and anchor interval for the respiratory sound event detection Automaticdiagnosisofglaucoma using two-dimensional fourier-bessel series expansion based empiri- cal wavelet transform,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:54:40.797087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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