ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction | Paper Citation Record

Observation 1bcfcb17-4171-4875-b724-9af8621c5eee · outbound

This paper cites Oct- angiography detects longitudinal microvascular changes in glaucoma: a systematic review,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Oct- angiography detects longitudinal microvascular changes in glaucoma: a systematic review,

Reference 1

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Observation bc05c636-5acc-43e5-a02a-22f93772346b · outbound

This paper cites Evaluation of structure-function rela- tionships in longitudinal changes of glaucoma using the spectralis oct follow-up mode,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Evaluation of structure-function rela- tionships in longitudinal changes of glaucoma using the spectralis oct follow-up mode,

Reference 2

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Observation 8221a6ea-aa37-455a-a73f-bc57fdb05abe · outbound

This paper cites Prospective, longitudinal study: daily self-imaging with home oct for neovascular age-related macular degeneration,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Prospective, longitudinal study: daily self-imaging with home oct for neovascular age-related macular degeneration,

Reference 3

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Observation b78c521d-7b22-4be4-bb4e-032a7686aa37 · outbound

This paper cites Radiomics analysis based on optical coherence tomography to prognose the efficacy of anti-vegf therapy of retinal vein occlusion-related macular edema,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Radiomics analysis based on optical coherence tomography to prognose the efficacy of anti-vegf therapy of retinal vein occlusion-related macular edema,

Reference 4

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Observation 4f3f9841-9809-403b-8524-83007a9675df · outbound

This paper cites Kestrel and kite: 52-week results from two phase iii pivotal trials of brolucizumab for diabetic macular edema,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Kestrel and kite: 52-week results from two phase iii pivotal trials of brolucizumab for diabetic macular edema,

Reference 5

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Observation 7443f65d-50d8-4cda-9c48-d17c1b244ff6 · outbound

This paper cites Efficacy and safety of brolucizumab for diabetic macular edema: the kingfisher randomized clinical trial,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Efficacy and safety of brolucizumab for diabetic macular edema: the kingfisher randomized clinical trial,

Reference 6

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Observation 9d30e9ed-f6c8-491a-b0b7-10395c8c1b64 · outbound

This paper cites Predictive value of uninterrupted dry macula duration for discontinuation of anti- vegf therapy in diabetic macular edema,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Predictive value of uninterrupted dry macula duration for discontinuation of anti- vegf therapy in diabetic macular edema,

Reference 7

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Observation c9f5c278-a1e4-4e7d-905e-e1c8571cdb32 · outbound

This paper cites Optical coherence tomography biomarkers predict the long-term restorative effect of early anti-vegf treatment on diabetic macular edema,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Optical coherence tomography biomarkers predict the long-term restorative effect of early anti-vegf treatment on diabetic macular edema,

Reference 8

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Observation a6753c1b-2222-4d15-8806-864084e11087 · outbound

This paper cites Finding structure in time,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Finding structure in time,

Reference 9

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Observation caf24fb0-c77a-491f-9c38-56e45d01d8bd · outbound

This paper cites Long short-term memory,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Long short-term memory,

Reference 10

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Observation 0268761c-9391-4969-ba1f-310eb053ba12 · outbound

This paper cites Attention is all you need,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Attention is all you need,

Reference 11

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Observation ed4e6c3a-0fd6-4449-aa0d-04fbb2f025a5 · outbound

This paper cites Contiformer: Continuous-time transformer for irregular time series modeling,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Contiformer: Continuous-time transformer for irregular time series modeling,

Reference 12

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Observation 4f28f443-6120-44aa-9e26-f986e818a765 · outbound

This paper cites Lomia-t: a transformer- based longitudinal medical image analysis framework for predicting treatment response of esophageal cancer,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Lomia-t: a transformer- based longitudinal medical image analysis framework for predicting treatment response of esophageal cancer,

Reference 13

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Observation 9eb181eb-9b8a-4fb2-be7e-573c95abd74e · outbound

This paper cites Card: Classification and regression diffusion models,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Card: Classification and regression diffusion models,

Reference 14

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Observation 3794ae0c-b1e9-4390-8b2c-ffc179a17bd6 · outbound

This paper cites Diffmic: Dual-guidance diffusion network for medical image classi- fication,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Diffmic: Dual-guidance diffusion network for medical image classi- fication,

Reference 15

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Observation 1cbc7af4-809f-4485-acc0-d83dd96be80f · outbound

This paper cites Sadm: Sequence- aware diffusion model for longitudinal medical image generation,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Sadm: Sequence- aware diffusion model for longitudinal medical image generation,

Reference 16

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Observation c609ab9e-da5e-42e5-9b04-934a559a4ecb · outbound

This paper cites Mmfusion: Multi-modality diffusion model for lymph node metastasis diagnosis in esophageal cancer,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Mmfusion: Multi-modality diffusion model for lymph node metastasis diagnosis in esophageal cancer,

Reference 17

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Observation ee768c3b-eb26-4623-a682-d8c751e53d13 · outbound

This paper cites Treatment-aware diffusion probabilistic model for longitudinal mri generation and diffuse glioma growth prediction,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Treatment-aware diffusion probabilistic model for longitudinal mri generation and diffuse glioma growth prediction,

Reference 18

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Observation 901089fd-a506-4fba-a5d3-41ad0fefd789 · outbound

This paper cites Patient subtyping via time-aware lstm networks,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Patient subtyping via time-aware lstm networks,

Reference 19

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Observation 408b80de-1cca-4832-a0c1-661576c6a391 · outbound

This paper cites Recurrent neural networks for multivariate time series with missing values,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Recurrent neural networks for multivariate time series with missing values,

Reference 20

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Observation 56492b52-3d51-4126-b9a7-faafcad7c2e8 · outbound

This paper cites Latent ordinary differential equations for irregularly-sampled time series,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Latent ordinary differential equations for irregularly-sampled time series,

Reference 21

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Observation 2bd32cde-2f78-450a-8aa9-e156b56beaa1 · outbound

This paper cites Neural ordinary differential equations,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Neural ordinary differential equations,

Reference 22

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Observation a55ddeff-9c1e-4b1f-9d04-f305c825ba9d · outbound

This paper cites Nodeo: A neural ordinary differential equation based optimization framework for deformable image registration,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Nodeo: A neural ordinary differential equation based optimization framework for deformable image registration,

Reference 23

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Observation 5387489a-3baa-4989-bf6c-2fde851edeaa · outbound

This paper cites Multi-scale neural odes for 3d medical image registration,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Multi-scale neural odes for 3d medical image registration,

Reference 24

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Observation 6989047e-4def-4a04-ad97-442218912356 · outbound

This paper cites Neural controlled differential equations for irregular time series,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Neural controlled differential equations for irregular time series,

Reference 25

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Observation 65be1af7-08ca-4d25-8c75-c0a5ee40e6c8 · outbound

This paper cites Machine learning can predict anti–vegf treatment demand in a treat-and-extend regimen for patients with neovascular amd, dme, and rvo associated macular edema,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Machine learning can predict anti–vegf treatment demand in a treat-and-extend regimen for patients with neovascular amd, dme, and rvo associated macular edema,

Reference 26

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Observation a04c6eed-40fb-4f58-847c-a0562a013028 · outbound

This paper cites Bogunovi ´c, V.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Bogunovi ´c, V

Reference 27

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Observation 8653c5e8-929e-42e6-9661-52b786ad7974 · outbound

This paper cites Prediction of treatment outcome in neovascular age-related macular degeneration using a novel convolu- tional neural network,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Prediction of treatment outcome in neovascular age-related macular degeneration using a novel convolu- tional neural network,

Reference 28

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Observation 281d9f0b-6878-46f7-868d-88dd67855c16 · outbound

This paper cites Prediction of neovascular age-related macular degeneration recurrence using optical coherence tomography images with a deep neural network,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Prediction of neovascular age-related macular degeneration recurrence using optical coherence tomography images with a deep neural network,

Reference 29

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Observation ad5a06e5-043f-4aae-9219-1c9fe62a3fef · outbound

This paper cites Anti-vegf treatment outcome prediction based on optical coherence tomography images in neovascular age- related macular degeneration using a deep neural network,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Anti-vegf treatment outcome prediction based on optical coherence tomography images in neovascular age- related macular degeneration using a deep neural network,

Reference 30

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Observation 76531b6f-3c53-46a9-af4a-6744d40c725d · outbound

This paper cites Harnessing the power of longitudi- nal medical imaging for eye disease prognosis using transformer-based sequence modeling,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Harnessing the power of longitudi- nal medical imaging for eye disease prognosis using transformer-based sequence modeling,

Reference 31

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Observation 880d05b6-9581-40f6-a8b0-3b0db972dfe9 · outbound

This paper cites Application of deep learning algorithm for judicious use of anti-vegf in diabetic macular edema,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Application of deep learning algorithm for judicious use of anti-vegf in diabetic macular edema,

Reference 32

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Observation 06c7a575-0c78-4e2d-abab-d91133c1dc8a · outbound

This paper cites Latim: Longitudinal representation learning in continuous-time models to predict disease progression,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Latim: Longitudinal representation learning in continuous-time models to predict disease progression,

Reference 33

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Observation cdc60625-28d6-49d4-80f2-5e817e103ab7 · outbound

This paper cites Prototypical networks for few-shot learning,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Prototypical networks for few-shot learning,

Reference 34

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Observation d2441cc5-6bf2-4db7-91d3-93d0d523fe43 · outbound

This paper cites Explaining deep classification of time-series data with learned prototypes,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Explaining deep classification of time-series data with learned prototypes,

Reference 35

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Observation 5147bf1e-476d-47c7-81bd-5ac5d9282898 · outbound

This paper cites Prototype learning for medical time series classification via human–machine collaboration,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Prototype learning for medical time series classification via human–machine collaboration,

Reference 36

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Observation 551bef3e-f43b-4275-9b10-2c430806ba73 · outbound

This paper cites A foundation model for generalizable disease detection from retinal images,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction A foundation model for generalizable disease detection from retinal images,

Reference 37

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Observation da60e622-e96f-451f-aa79-0604b27aaca2 · outbound

This paper cites Mahalanobis distance,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Mahalanobis distance,

Reference 38

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Observation 69038f88-971c-4036-8b95-6bcc2c12f94d · outbound

This paper cites Predicting diabetic macular edema treatment responses using oct: dataset and methods of aptos competi- tion,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Predicting diabetic macular edema treatment responses using oct: dataset and methods of aptos competi- tion,

Reference 39

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Observation c8791939-464f-446f-82d1-b114bb4fd9ce · outbound

This paper cites Grape: A multi-modal dataset of longitudinal follow-up visual field and fundus images for glaucoma management,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Grape: A multi-modal dataset of longitudinal follow-up visual field and fundus images for glaucoma management,

Reference 40

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Observation 3fa70630-d809-4e77-8168-fa284f940a90 · outbound

This paper cites Learning phrase representations using rnn encoder–decoder for statistical machine translation,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Learning phrase representations using rnn encoder–decoder for statistical machine translation,

Reference 41

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Observation 9e81b8a9-0816-4998-9a16-e1337c47bf9e · outbound

This paper cites Medformer: A multi-granularity patching transformer for medical time-series classifi- cation,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Medformer: A multi-granularity patching transformer for medical time-series classifi- cation,

Reference 42

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Observation 7baffb62-65e0-432c-9b34-b4fab18ef838 · outbound

This paper cites Time series as images: Vision transformer for irregularly sampled time series,.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Time series as images: Vision transformer for irregularly sampled time series,

Reference 43

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Observation 1e1a3144-2815-44ff-94b2-530dd1b43d61 · outbound

This paper cites Graph-Guided Network for Irregularly Sampled Multivariate Time Series.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Graph-Guided Network for Irregularly Sampled Multivariate Time Series

Reference 44

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Observation af4aef61-6aa1-4d43-9fd5-c53762aab42f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

ImProNCDE: Impulse-Corrected Neural Controlled Differential Equations with Prototype Learning for Longitudinal Prognosis Prediction Adam: A Method for Stochastic Optimization

Reference 45

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