Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model | Paper Citation Record

Observation c8f923de-8062-4b89-92b7-fcbd88550d8c · outbound

This paper cites Patient–ventilator dyssynchrony in critically ill patients,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Patient–ventilator dyssynchrony in critically ill patients,

Reference 1

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Observation 5136273c-569e-409f-a287-00b4c3c96101 · outbound

This paper cites Early detection and classification of patient-ventilator asynchrony using machine learning,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Early detection and classification of patient-ventilator asynchrony using machine learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:51.555934Z

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Observation 5bbf3d4f-13bf-4dc0-a720-523236d616d1 · outbound

This paper cites Ventilator dyssynchrony–detection, pathophysiology, and clinical relevance: A narrative review,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Ventilator dyssynchrony–detection, pathophysiology, and clinical relevance: A narrative review,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:51.405239Z

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Observation 10ff51dd-4d72-4c9a-ab3d-543cc915b0f8 · outbound

This paper cites Patient–ventilator dyssynchrony in the intensive care unit: A practical approach to diagnosis and management,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Patient–ventilator dyssynchrony in the intensive care unit: A practical approach to diagnosis and management,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:51.220455Z

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Observation 4b5edb06-d7f7-46de-ac9f-b834ffa0ee57 · outbound

This paper cites Patient-ventilator asynchronies during mechanical ventilation: current knowledge and research priorities,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Patient-ventilator asynchronies during mechanical ventilation: current knowledge and research priorities,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:51.072251Z

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This paper cites Identifying patient–ventilator asynchrony on a small dataset using image-based transfer learning,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Identifying patient–ventilator asynchrony on a small dataset using image-based transfer learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:50.938059Z

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This paper cites The development, optimization, and validation of four different machine learning algorithms to identify ventilator dyssynchrony,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model The development, optimization, and validation of four different machine learning algorithms to identify ventilator dyssynchrony,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:50.770765Z

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Observation 0f69dfd7-3048-4a6f-bdf5-4f65789764b7 · outbound

This paper cites Detection of patient-ventilator asynchrony from mechanical ventilation waveforms using a two-layer long short-term memory neural network,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Detection of patient-ventilator asynchrony from mechanical ventilation waveforms using a two-layer long short-term memory neural network,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:50.566713Z

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Observation 2b50df63-33c1-493a-b090-ab78a55a2853 · outbound

This paper cites An interpretable 1d convolutional neural network for detecting patient-ventilator asynchrony in mechanical ventilation,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model An interpretable 1d convolutional neural network for detecting patient-ventilator asynchrony in mechanical ventilation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:50.455900Z

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This paper cites Automated detection and classification of patient–ventilator asynchrony by means of machine learning and simulated data,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Automated detection and classification of patient–ventilator asynchrony by means of machine learning and simulated data,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:50.314986Z

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Observation 0f5df888-48ac-4eab-94e8-f5c0fa6df780 · outbound

This paper cites A novel application of spectrograms with machine learning can detect patient ventilator dyssynchrony,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model A novel application of spectrograms with machine learning can detect patient ventilator dyssynchrony,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:50.120336Z

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This paper cites A model-based approach to generating annotated pressure support waveforms,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model A model-based approach to generating annotated pressure support waveforms,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:49.930994Z

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This paper cites A comprehensive survey on transfer learning,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model A comprehensive survey on transfer learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:49.735060Z

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This paper cites Deep learning modelling techniques: current progress, applications, advantages, and challenges,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Deep learning modelling techniques: current progress, applications, advantages, and challenges,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:49.551620Z

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This paper cites Generating time series data with real valued dc-gan from complex time-frequency domain: Application to ecg synthesis,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Generating time series data with real valued dc-gan from complex time-frequency domain: Application to ecg synthesis,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:49.400013Z

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This paper cites Gan-skipnet: a solution for data imbalance in cardiac arrhythmia detection using electrocardiogram signals from a benchmark dataset,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Gan-skipnet: a solution for data imbalance in cardiac arrhythmia detection using electrocardiogram signals from a benchmark dataset,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:49.188916Z

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This paper cites Generative adversarial networks,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Generative adversarial networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:48.895535Z

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This paper cites Conditional Generative Adversarial Nets.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Conditional Generative Adversarial Nets

Reference 18

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This paper cites Identifying women with mammographically-occult breast cancer leveraging gan-simulated mammograms,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Identifying women with mammographically-occult breast cancer leveraging gan-simulated mammograms,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:48.641110Z

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This paper cites Generative adversarial networks (gans) in medical imaging: Advancements, applications and challenges,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Generative adversarial networks (gans) in medical imaging: Advancements, applications and challenges,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:48.315404Z

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Observation f255a9cd-2872-4dc9-b05e-3e5af2aeffc6 · outbound

This paper cites An adversarial learning approach to generate pressure support ventilation waveforms for asynchrony detection,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model An adversarial learning approach to generate pressure support ventilation waveforms for asynchrony detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:48.047875Z

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Observation cabfddc2-dbca-43fc-830e-65acad7ec8d6 · outbound

This paper cites Quantifiable identification of flow-limited ventilator dyssynchrony with the deformed lung ventilator model,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Quantifiable identification of flow-limited ventilator dyssynchrony with the deformed lung ventilator model,

Reference 22

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Observation bf7255c0-17c4-4b52-b4b6-df288785dda2 · outbound

This paper cites A damaged-informed lung ventilator model for ventilator waveforms,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model A damaged-informed lung ventilator model for ventilator waveforms,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:47.510503Z

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This paper cites Monitoring of patient-ventilator interaction at the bedside,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Monitoring of patient-ventilator interaction at the bedside,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:47.240806Z

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Observation c5314e73-4721-4357-b7ef-346054e390f2 · outbound

This paper cites Patient-ventilator dyssynchrony: clinical significance and implications for practice,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Patient-ventilator dyssynchrony: clinical significance and implications for practice,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:46.915097Z

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Observation 7c3a4738-3532-42b8-a0c4-b0dd3d9ed09b · outbound

This paper cites Mechanical ventilation-induced reverse-triggered breaths: a frequently unrecognized form of neuromechanical cou- pling,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Mechanical ventilation-induced reverse-triggered breaths: a frequently unrecognized form of neuromechanical cou- pling,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:46.673582Z

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This paper cites Reverse triggering: An introduction to diagnosis, management, and pharmacologic implications,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Reverse triggering: An introduction to diagnosis, management, and pharmacologic implications,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:46.389192Z

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This paper cites Invasive mechanical ventilation,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Invasive mechanical ventilation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:46.157076Z

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This paper cites Classification of ventilator modes: update and proposal for implementation,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Classification of ventilator modes: update and proposal for implementation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:45.927658Z

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This paper cites Patient-ventilator asynchronies: clinical implications and practical solutions,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Patient-ventilator asynchronies: clinical implications and practical solutions,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:45.754858Z

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This paper cites Patient–ventilator interactions. implications for clinical management,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Patient–ventilator interactions. implications for clinical management,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:45.545397Z

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This paper cites Patient-ventilator dyssynchrony,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Patient-ventilator dyssynchrony,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:45.366171Z

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Observation 8d4681e6-ac14-4323-b0a4-ae8ae02089fb · outbound

This paper cites Patient–ventilator asynchrony during non-invasive ventilation for acute respiratory failure: a multicenter study,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Patient–ventilator asynchrony during non-invasive ventilation for acute respiratory failure: a multicenter study,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:45.215149Z

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This paper cites Classifying different types of double triggering based on airway pressure and flow deflection in mechanically ventilated patients,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Classifying different types of double triggering based on airway pressure and flow deflection in mechanically ventilated patients,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:45.040213Z

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This paper cites Identifying patient-ventilator asynchrony using waveform analysis,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Identifying patient-ventilator asynchrony using waveform analysis,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:44.869264Z

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This paper cites Making predictions using poorly identified mathematical models,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Making predictions using poorly identified mathematical models,

Reference 36

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This paper cites Double triggering during assisted mechanical ventilation: Is it a controlled, auto-triggered or patient-triggered cycle? reply to c.-w. chen,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Double triggering during assisted mechanical ventilation: Is it a controlled, auto-triggered or patient-triggered cycle? reply to c.-w. chen,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:44.550282Z

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Observation 26dcc95b-2de3-4d77-835f-ee35374f97c8 · outbound

This paper cites Df-platter: Multi-face heterogeneous deepfake dataset,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Df-platter: Multi-face heterogeneous deepfake dataset,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:44.306213Z

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This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 39

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This paper cites A machine learning method for automatic detection and classification of patient-ventilator asynchrony,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model A machine learning method for automatic detection and classification of patient-ventilator asynchrony,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:44.117021Z

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Observation 93e037cf-11ec-4747-86d9-21a67bebd25a · outbound

This paper cites Unsupervised gan epoch selection for biomedical data synthesis,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Unsupervised gan epoch selection for biomedical data synthesis,

Reference 41

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Observation 8b8f6363-f03d-49b9-aa04-69df45ae49b8 · outbound

This paper cites Generative adversarial networks in time series: A systematic literature review,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Generative adversarial networks in time series: A systematic literature review,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:43.780809Z

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Observation d8ed8a8d-e64e-4b9f-9bb5-391a0978b011 · outbound

This paper cites Controlled time series generation for automotive software-inthe-loop testing using gans,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Controlled time series generation for automotive software-inthe-loop testing using gans,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:43.592069Z

Source-reported events for the cited work

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Observation dea5e54f-16ed-4ac3-8c1d-77644cec49ec · outbound

This paper cites Dynamic programming algorithm optimization for spoken word recognition,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Dynamic programming algorithm optimization for spoken word recognition,

Reference 44

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This paper cites GANs Conditioning Methods: A Survey.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model GANs Conditioning Methods: A Survey

Reference 45

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Observation f36e47b9-e5e5-44d3-92ac-b206a7560c4c · outbound

This paper cites An analysis of generative adversarial networks and variants for image synthesis on mnist dataset,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model An analysis of generative adversarial networks and variants for image synthesis on mnist dataset,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:43.358035Z

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Observation f4fdbce9-88e2-4b00-b1de-8d93fa76a62a · outbound

This paper cites Visualizing data using t-sne.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Visualizing data using t-sne

Reference 47

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Observation 3ea2fde4-5e6a-413f-a6a6-493bcbae4762 · outbound

This paper cites Asynchronies during mechanical ventilation are associated with mortality,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Asynchronies during mechanical ventilation are associated with mortality,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:43.109788Z

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Observation 814ec4f1-c8e0-48ae-8562-9e5e43493be3 · outbound

This paper cites Texture unit, texture spectrum, and texture analysis,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Texture unit, texture spectrum, and texture analysis,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:42.863683Z

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Observation 66564b6d-8f6e-43a2-9316-49dca36137ab · outbound

This paper cites Histograms of oriented gradients for human detection,.

Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model Histograms of oriented gradients for human detection,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:42.676752Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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