Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:56:44.232435Z
Paper Citation Record · LEDGER
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
As of 16 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:1908.08074.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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Source: cited_works
Reference resolution
51 of 51 outbound references displayed
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External citation measurements
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Outbound references
Observation ae53a10b-8b50-4e98-b375-27c98935aa40 · outbound
This paper cites Wasserstein GAN.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Wasserstein GAN
Reference 1
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Observation 8042d584-d61d-4176-8a77-21a736d9e1ec · outbound
This paper cites Spm12 man- ual.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Spm12 man- ual
Reference 2
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Observation 70ac443d-3d75-4273-b6f8-03af804a8056 · outbound
This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Large Scale GAN Training for High Fidelity Natural Image Synthesis
Reference 3
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Observation 2c7a4929-258f-48a6-b3fd-f8177916f9e9 · outbound
This paper cites Mode Regularized Generative Adversarial Networks.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Mode Regularized Generative Adversarial Networks
Reference 4
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Observation cb3600b6-ce42-4de8-9b81-b5993c3da387 · outbound
This paper cites Training Deep Nets with Sublinear Memory Cost.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Training Deep Nets with Sublinear Memory Cost
Reference 5
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Observation 29cf1ebb-9601-4465-8f3b-9620c2b8ab6c · outbound
This paper cites Stargan: Unified genera- tive adversarial networks for multi-domain image-to-image translation.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Stargan: Unified genera- tive adversarial networks for multi-domain image-to-image translation
Reference 6
- Resolution
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Source-reported events for the cited work
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Observation 4e091f30-0689-4429-9ab9-a249340382ac · outbound
This paper cites NICE: Non-linear Independent Components Estimation.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer NICE: Non-linear Independent Components Estimation
Reference 7
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Observation 5a7eef46-a41c-4915-9314-2f9aca980e17 · outbound
This paper cites Density estimation using Real NVP.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Density estimation using Real NVP
Reference 8
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Source-reported events for the cited work
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Observation b540ff74-56b4-421f-b779-3a6f301c3887 · outbound
This paper cites A varia- tional u-net for conditional appearance and shape generation.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer A varia- tional u-net for conditional appearance and shape generation
Reference 9
- Resolution
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Observation 0aaeb159-a627-4f75-9d2a-bb942e1c8bf3 · outbound
This paper cites Unsupervised Domain Adaptation by Backpropagation.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Unsupervised Domain Adaptation by Backpropagation
Reference 10
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Source-reported events for the cited work
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Observation 89cc118a-b7a2-4177-bb8f-fd117bc4b548 · outbound
This paper cites Image-to-image translation for cross-domain disentan- glement.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Image-to-image translation for cross-domain disentan- glement
Reference 11
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Observation d4563f26-895b-4daa-af50-250ddf97ccf0 · outbound
This paper cites Generative adversarial nets.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Generative adversarial nets
Reference 12
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Source-reported events for the cited work
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Observation 75511866-304d-4cb0-90d2-753726e9a0f9 · outbound
This paper cites Mr-based synthetic ct generation using a deep convolutional neural network method.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Mr-based synthetic ct generation using a deep convolutional neural network method
Reference 13
- Resolution
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Observation a2313606-9830-4a93-bb44-ba430a90eb98 · outbound
This paper cites Mkl for robust multi-modality ad classification.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Mkl for robust multi-modality ad classification
Reference 14
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Source-reported events for the cited work
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Observation e0bae165-a5ad-4ca2-a9f7-1e56638014fc · outbound
This paper cites Multimodal unsupervised image-to-image translation.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Multimodal unsupervised image-to-image translation
Reference 15
- Resolution
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Observation b39919ed-eb02-4115-b7ca-c8bbf4e6abd3 · outbound
This paper cites Image-to-image translation with conditional adversar- ial networks.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Image-to-image translation with conditional adversar- ial networks
Reference 16
- Resolution
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Observation edee1351-5be6-4215-8d80-ad50bb06abf3 · outbound
This paper cites Prediction of standard-dose brain pet image by using mri and low-dose brain [18f] fdg pet im- ages.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Prediction of standard-dose brain pet image by using mri and low-dose brain [18f] fdg pet im- ages
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation 6a273e2f-95a8-48e9-b0e9-70c7fd42521e · outbound
This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Progressive Growing of GANs for Improved Quality, Stability, and Variation
Reference 18
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Observation 621a3e71-091a-44a7-a41c-4aa92c2ac90f · outbound
This paper cites Learning to discover cross-domain relations with generative adversarial networks.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Learning to discover cross-domain relations with generative adversarial networks
Reference 19
- Resolution
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Source-reported events for the cited work
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Observation 9db950ef-4594-4bfa-b5c1-a1668318c33b · outbound
This paper cites Adam: A Method for Stochastic Optimization.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Adam: A Method for Stochastic Optimization
Reference 20
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Source-reported events for the cited work
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Observation 0b4ad3cc-323d-4e40-b621-f824b6d0964e · outbound
This paper cites Glow: Generative flow with invertible 1x1 convolutions.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Glow: Generative flow with invertible 1x1 convolutions
Reference 21
- Resolution
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Observation 171c0a9e-51ed-4b65-a39d-eb3e9d1f0afb · outbound
This paper cites Diverse image-to-image translation via disentangled representations.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Diverse image-to-image translation via disentangled representations
Reference 22
- Resolution
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Observation b401d1dd-bd56-436d-b0f6-610b785f3f7d · outbound
This paper cites Deep learning based imaging data completion for improved brain disease diag- nosis.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Deep learning based imaging data completion for improved brain disease diag- nosis
Reference 23
- Resolution
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Observation fe5c474a-0b64-4160-888d-72d5a0d32c1c · outbound
This paper cites Conditional image-to-image translation.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Conditional image-to-image translation
Reference 24
- Resolution
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Observation 6214dc8a-25d7-42b2-b5d7-24e3cd5bec0e · outbound
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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Unsupervised image-to-image translation networks
Reference 25
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This paper cites Deep learning face attributes in the wild.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Deep learning face attributes in the wild
Reference 26
- Resolution
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Observation 59f24a36-6768-4ae4-b23a-5c7caf1da0ed · outbound
This paper cites Exemplar guided unsupervised image-to- image translation with semantic consistency.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Exemplar guided unsupervised image-to- image translation with semantic consistency
Reference 27
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This paper cites Dose evaluation of fast synthetic-ct generation using a generative adversarial network for general pelvis mr-only ra- diotherapy.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Dose evaluation of fast synthetic-ct generation using a generative adversarial network for general pelvis mr-only ra- diotherapy
Reference 28
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Observation 329d0797-bf27-4614-8150-07479afa12d1 · outbound
This paper cites Conditional Generative Adversarial Nets.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Conditional Generative Adversarial Nets
Reference 29
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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Instance-aware image-to-image translation
Reference 30
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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Image to image transla- tion for domain adaptation
Reference 31
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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Medical image syn- thesis with context-aware generative adversarial networks
Reference 32
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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Pixel Recurrent Neural Networks
Reference 33
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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Synthesizing missing pet from mri with cycle-consistent generative adversarial net- works for alzheimers disease diagnosis
Reference 34
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Observation a8a8b111-881d-45d6-971e-8227ccb0fc4d · outbound
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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Variational Inference with Normalizing Flows
Reference 35
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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer U- net: Convolutional networks for biomedical image segmen- tation
Reference 36
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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Mri to fdg-pet: Cross-modal synthesis using 3d u-net for multi-modal alzheimers classification
Reference 37
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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Determinants of block matrices
Reference 38
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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Learning structured output representation using deep conditional gen- erative models
Reference 39
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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Direct estimation of spinal cobb angles by structured multi-output regression
Reference 40
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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Learning deep match kernels for image-set classification
Reference 41
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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Perceptual adversarial networks for image-to-image transformation
Reference 42
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Source-reported events for the cited work
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This paper cites Mix and match networks: encoder-decoder alignment for zero- pair image translation.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Mix and match networks: encoder-decoder alignment for zero- pair image translation
Reference 43
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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Deep mr to ct synthesis using unpaired data
Reference 44
- Resolution
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Source-reported events for the cited work
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Observation b76e4ab0-cecf-41a1-96aa-fdd5d967660d · outbound
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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Opti- mum template selection for atlas-based segmentation
Reference 45
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Source-reported events for the cited work
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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Holistically-nested edge de- tection
Reference 46
- Resolution
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Source-reported events for the cited work
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Observation 4d981a15-62b2-48ad-b927-baa534b09a30 · outbound
This paper cites Fine-grained visual compar- isons with local learning.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Fine-grained visual compar- isons with local learning
Reference 47
- Resolution
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Source-reported events for the cited work
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Observation 160cc9fe-ee0f-41ca-bb22-06623fcca4db · outbound
This paper cites Semantic jitter: Dense su- pervision for visual comparisons via synthetic images.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Semantic jitter: Dense su- pervision for visual comparisons via synthetic images
Reference 48
- Resolution
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Source-reported events for the cited work
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This paper cites Unpaired image-to-image translation using cycle- consistent adversarial networks.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Unpaired image-to-image translation using cycle- consistent adversarial networks
Reference 49
- Resolution
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Source-reported events for the cited work
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Observation fdb63d72-1f82-4755-bcd0-2fd1a0796a16 · outbound
This paper cites To- ward multimodal image-to-image translation.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer To- ward multimodal image-to-image translation
Reference 50
- Resolution
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Source-reported events for the cited work
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Observation 57f088a2-a78b-4ea2-b7f4-39c113ec0558 · outbound
This paper cites lev- els.
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer lev- els
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:56:44.457956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.