4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis | Paper Citation Record

Observation 36236e28-7244-4bb9-bfeb-3dbb68312c9d · outbound

This paper cites Delving Deeper into Convolutional Networks for Learning Video Representations.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Delving Deeper into Convolutional Networks for Learning Video Representations

Reference 1

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This paper cites Seeing what a GAN cannot generate.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Seeing what a GAN cannot generate

Reference 2

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Observation 02d109ef-0b4c-4c62-bbb3-ab7892f86d15 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 3

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This paper cites Neural ordinary differential equations.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Neural ordinary differential equations

Reference 4

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Observation 2888cafe-554f-4c51-9071-98b9bf7c24c1 · outbound

This paper cites Longitudinal self-supervision to disentangle inter- patient variability from disease progression.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Longitudinal self-supervision to disentangle inter- patient variability from disease progression

Reference 5

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This paper cites Regression models and life-tables.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Regression models and life-tables

Reference 6

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Observation b0ca6b70-6c84-491d-aff9-6bd0af90a8b2 · outbound

This paper cites Generative adversarial networks: An overview.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Generative adversarial networks: An overview

Reference 7

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Observation 3881cddc-1ae1-4311-80d4-37abc7f6d56a · outbound

This paper cites Diffusion models in vision: A survey.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Diffusion models in vision: A survey

Reference 8

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Observation ba70290f-1b1c-4126-bdce-31c1c8f7b961 · outbound

This paper cites Estimating long-term multivariate progression from short-term data.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Estimating long-term multivariate progression from short-term data

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.552023Z

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Observation 863b9c2c-dd4a-42b9-8e77-aadc18992321 · outbound

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

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Taming transformers for high-resolution image synthesis

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.538084Z

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Observation 539bfe17-6cba-4b7c-bea5-ed10028ca970 · outbound

This paper cites TR-Gan: multi-session future MRI prediction with temporal recurrent generative adversar- ial Network.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis TR-Gan: multi-session future MRI prediction with temporal recurrent generative adversar- ial Network

Reference 11

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Observation 91799953-421c-43cc-bb06-7ab0855a3285 · outbound

This paper cites TR-TransGAN: Temporal Recurrent Transformer Generative Adversarial Network for Longitudinal MRI Dataset Expansion.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis TR-TransGAN: Temporal Recurrent Transformer Generative Adversarial Network for Longitudinal MRI Dataset Expansion

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.511417Z

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Observation 9593bc42-35a2-44ce-a101-8d740f75c8a0 · outbound

This paper cites FakeNews: GAN-based generation of realistic 3D volumetric data -- A systematic review and taxonomy.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis FakeNews: GAN-based generation of realistic 3D volumetric data -- A systematic review and taxonomy

Reference 13

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Observation 1d71775f-29a5-4f71-99cf-9a95dc645529 · outbound

This paper cites GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.497825Z

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This paper cites A fast operator for detection and precise location of distinct points, corners and centres of circular features.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis A fast operator for detection and precise location of distinct points, corners and centres of circular features

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.483260Z

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Observation 4cd69211-66a3-49a8-aa5c-19bb97623860 · outbound

This paper cites Long video generation with time-agnostic VQGAN and time-sensitive transformer.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Long video generation with time-agnostic VQGAN and time-sensitive transformer

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.469684Z

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Observation 85e02f69-1b80-4bbd-8b87-c2823aae53d7 · outbound

This paper cites GraphRegNet: Deep graph regularisation networks on sparse keypoints for dense registration of 3D lung CTs.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis GraphRegNet: Deep graph regularisation networks on sparse keypoints for dense registration of 3D lung CTs

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.455913Z

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Observation ad65ea59-49d9-4af5-9372-fd4975842637 · outbound

This paper cites Estimating large lung motion in COPD patients by symmetric regularised correspondence fields.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Estimating large lung motion in COPD patients by symmetric regularised correspondence fields

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.441236Z

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Observation 748e38ee-da7a-4780-ba27-465c153c96b7 · outbound

This paper cites Learn2Reg: Comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Learn2Reg: Comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Reference 19

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Observation 49b3608f-aacc-405a-a866-35528e7d2453 · outbound

This paper cites Denoising diffusion probabilistic models.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Denoising diffusion probabilistic models

Reference 20

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Observation b3acd416-bd53-4576-9e09-69c58c070aae · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Imagen Video: High Definition Video Generation with Diffusion Models

Reference 21

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This paper cites Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem

Reference 22

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Observation 74bf4c08-0691-43f6-b734-7de9edaa97ce · outbound

This paper cites Self-Organising Neural Discrete Representation Learning \`a la Kohonen.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Self-Organising Neural Discrete Representation Learning \`a la Kohonen

Reference 23

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Observation cb126f05-8c77-4bc2-971e-774969a5ac89 · outbound

This paper cites Brain β-amyloid load approaches a plateau.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Brain β-amyloid load approaches a plateau

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.387688Z

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Observation 6930d115-88a2-4acd-a064-9839a1a47020 · outbound

This paper cites A computational neurodegenerative disease progression score: method and results with the Alzheimer’s disease neuroimaging initiative cohort.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis A computational neurodegenerative disease progression score: method and results with the Alzheimer’s disease neuroimaging initiative cohort

Reference 25

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Observation ccd75e37-da41-4907-9d0e-9d68ef8d0983 · outbound

This paper cites Simple Video Generation using Neural ODEs.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Simple Video Generation using Neural ODEs

Reference 26

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This paper cites Diffusion models in medical imaging: A comprehensive survey.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Diffusion models in medical imaging: A comprehensive survey

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.359678Z

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Observation 42aced0c-55d6-47f0-9074-72a632fe0472 · outbound

This paper cites Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation

Reference 28

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This paper cites Transformers for CT reconstruction from monoplanar and biplanar radiographs.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Transformers for CT reconstruction from monoplanar and biplanar radiographs

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.345388Z

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Observation 8a30b93c-de2d-4f9b-9c31-1d2c5b6eb462 · outbound

This paper cites Longitudinal brain MR image modeling using personal- ized memory for Alzheimer’s disease.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Longitudinal brain MR image modeling using personal- ized memory for Alzheimer’s disease

Reference 30

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Observation 57def734-b2a3-44d5-89ba-d430bac89e53 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Adam: A Method for Stochastic Optimization

Reference 31

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This paper cites Auto-Encoding Variational Bayes.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Auto-Encoding Variational Bayes

Reference 32

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Observation 615e57a4-e72d-4ea6-b093-da3fe3b15462 · outbound

This paper cites CCVS: Context-aware controllable video synthesis.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis CCVS: Context-aware controllable video synthesis

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.317527Z

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Observation efb9db4f-b799-4cd7-85dc-8265d4859a6b · outbound

This paper cites Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records

Reference 34

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Observation 3a71b0a7-1bb5-43d7-afc1-cf8bc05e1f0a · outbound

This paper cites 3D brain and heart volume generative models: A survey.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis 3D brain and heart volume generative models: A survey

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.291252Z

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Observation c17d0c6f-1db9-47c5-bce8-43fff4ce3092 · outbound

This paper cites Disentangling normal aging from Alzheimer’s disease in structural magnetic resonance images.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Disentangling normal aging from Alzheimer’s disease in structural magnetic resonance images

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.276889Z

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Observation bf9fc59f-5630-4d6b-8146-92c7c8a6d6db · outbound

This paper cites Decoupled Weight Decay Regularization.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Decoupled Weight Decay Regularization

Reference 37

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Observation f3804441-03b9-4679-955e-10f2439aa553 · outbound

This paper cites MC-RV AE: Multi-channel recurrent variational autoencoder for multimodal Alzheimer’s disease progression modelling.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis MC-RV AE: Multi-channel recurrent variational autoencoder for multimodal Alzheimer’s disease progression modelling

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.262588Z

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Observation 78b35879-5bec-4cc6-a710-f47bf2de1a3b · outbound

This paper cites Learning imaging biomarker trajectories from noisy Alzheimer’s disease data using a Bayesian multilevel model.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Learning imaging biomarker trajectories from noisy Alzheimer’s disease data using a Bayesian multilevel model

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.248054Z

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Observation affa9a94-09c8-4bdd-ac2a-617dc51d7f27 · outbound

This paper cites Vid-ODE: Continuous-time video generation with neural ordinary differential equation.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Vid-ODE: Continuous-time video generation with neural ordinary differential equation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.233616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8619bafb-cbd2-4f0c-a801-1e8d32b8cb58 · outbound

This paper cites Enhancing spatiotemporal disease progression models via latent diffusion and prior knowledge.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Enhancing spatiotemporal disease progression models via latent diffusion and prior knowledge

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.219339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f3571b98-7852-481e-ad5a-7ed34cccfb60 · outbound

This paper cites Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.205255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eb32beda-51fa-4158-a9a7-d0463e71dac9 · outbound

This paper cites Generating diverse high-fidelity images with VQ-V AE-2.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Generating diverse high-fidelity images with VQ-V AE-2

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.192340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3e8eb621-2867-4bad-aabe-0363b5aa2e0f · outbound

This paper cites U-Net: Convolutional networks for biomedical image segmentation.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis U-Net: Convolutional networks for biomedical image segmentation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.178711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8a0ce3ff-1b6a-46e3-b84a-db8aa9dbbb50 · outbound

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

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Latent ordinary differential equations for irregularly- sampled time series

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.164965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aabd1ac9-9398-4af7-ad70-aa45d9cc1774 · outbound

This paper cites Progression models for imaging data with Longitudinal Variational Auto Encoders.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Progression models for imaging data with Longitudinal Variational Auto Encoders

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.151430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fca729e2-2852-48b0-b81b-3176cb188942 · outbound

This paper cites InterfaceGAN: Interpreting the disentangled face representation learned by GANs.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis InterfaceGAN: Interpreting the disentangled face representation learned by GANs

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.137012Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e46935ad-1476-4575-90df-710639b7638b · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T18:19:12.665304Z

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Observation 99e4f0ed-8681-4c95-877d-597370a0b34b · outbound

This paper cites Medical image generation using generative adversarial networks: A review.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Medical image generation using generative adversarial networks: A review

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.122573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5717b734-f30d-491a-aada-8f7237e3769e · outbound

This paper cites A model of brain morphological changes related to aging and Alzheimer’s disease from cross-sectional assessments.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis A model of brain morphological changes related to aging and Alzheimer’s disease from cross-sectional assessments

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.108398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2959faf-ba0a-41f5-97d7-7c92ee9697cf · outbound

This paper cites Hierarchical amortized GAN for 3D high resolution medical image synthesis.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Hierarchical amortized GAN for 3D high resolution medical image synthesis

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.095041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d3929deb-ccc8-4cb2-bdc3-3aab85a55393 · outbound

This paper cites Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-08T18:19:12.802883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 12e3ed1c-4612-4810-bb72-89759b1e8450 · outbound

This paper cites Multi-scale GANs for memory-efficient generation of high resolution medical images.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Multi-scale GANs for memory-efficient generation of high resolution medical images

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.081012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 808c3c21-9b5c-4cfd-b3cc-38f769a14f17 · outbound

This paper cites Neural discrete representation learning.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Neural discrete representation learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.066052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c0eddb0a-3dc5-4171-9995-7dc572bf002d · outbound

This paper cites Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer’s disease: a prospective cohort study.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer’s disease: a prospective cohort study

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.050008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 11bfee30-99a6-493a-afd7-bff384b53a9b · outbound

This paper cites MCVD-masked conditional video diffusion for prediction, generation, and interpolation.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis MCVD-masked conditional video diffusion for prediction, generation, and interpolation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.034353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d7f9cc2c-067d-4f3e-ab9d-646b6df9997e · outbound

This paper cites Modelling Latent Dynamics of StyleGAN using Neural ODEs.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis Modelling Latent Dynamics of StyleGAN using Neural ODEs

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-08T18:19:12.705445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76a1d7bc-6dac-46b1-bfcc-1d1357ab1bb4 · outbound

This paper cites VideoGPT: Video Generation using VQ-VAE and Transformers.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-08T18:19:12.710192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3f504de-0ad2-439b-bb35-983ea4f29285 · outbound

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

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis SADM: Sequence-aware diffusion model for longitudinal medical image generation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.019671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0a77e4fb-33dc-413f-825b-f26a950041de · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis The unreasonable effectiveness of deep features as a perceptual metric

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:13.004819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 23a514ea-12da-4273-934d-7d5585e6e045 · outbound

This paper cites VQ-GAN [10], a variant of VQ-V AE, incorporated a discriminator and perceptual loss, combining the strengths of both VQ-V AE and GAN to generate high-resolution images.

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis VQ-GAN [10], a variant of VQ-V AE, incorporated a discriminator and perceptual loss, combining the strengths of both VQ-V AE and GAN to generate high-resolution images

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:19:12.989231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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