Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis | Paper Citation Record

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This paper cites Brain tumor classification using a combination of vari- ational autoencoders and generative adversarial networks.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Brain tumor classification using a combination of vari- ational autoencoders and generative adversarial networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:29.952495Z

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This paper cites Synthetic mri for stroke: a qualitative and quantitative pilot study.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Synthetic mri for stroke: a qualitative and quantitative pilot study

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:29.617667Z

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This paper cites From noisy predic- 8 tion to true label: Noisy prediction calibration via generative model, 2022.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis From noisy predic- 8 tion to true label: Noisy prediction calibration via generative model, 2022

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:28.533113Z

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This paper cites Bagnato, P.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Bagnato, P

Reference 4

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This paper cites Callaghan, Siawoosh Mohammadi, and Nikolaus Weiskopf.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Callaghan, Siawoosh Mohammadi, and Nikolaus Weiskopf

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:28.042942Z

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This paper cites Chan, Connor Z.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Chan, Connor Z

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:27.808802Z

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Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Unresolved cited work

Reference 7

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This paper cites Inverting the generator of a generative adversarial network.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Inverting the generator of a generative adversarial network

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:27.484830Z

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Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Unresolved cited work

Reference 9

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This paper cites Consensus of algorithms for lesion segmentation in brain mri studies of multiple scle- rosis.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Consensus of algorithms for lesion segmentation in brain mri studies of multiple scle- rosis

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:27.022649Z

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Observation e7b5fd22-c231-427a-b65e-0a2b5ea71aa8 · outbound

This paper cites 3d-aware conditional image synthesis, 2023.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis 3d-aware conditional image synthesis, 2023

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:26.753281Z

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Observation ea2db639-54b7-438e-8981-d7eb50a06425 · outbound

This paper cites Dimov, Thanh D.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Dimov, Thanh D

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:26.490452Z

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Observation c5129612-5e4a-496f-946c-e7fa6884c827 · outbound

This paper cites Mri criteria for the diagnosis of multiple sclerosis: Magnims consensus guidelines.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Mri criteria for the diagnosis of multiple sclerosis: Magnims consensus guidelines

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:26.306760Z

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This paper cites Assessing ro- bustness of quantitative susceptibility-based mri radiomic features in patients with multiple sclerosis.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Assessing ro- bustness of quantitative susceptibility-based mri radiomic features in patients with multiple sclerosis

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:26.084244Z

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This paper cites an unresolved cited work.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Unresolved cited work

Reference 15

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This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:25.762357Z

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Observation 741717ae-758e-44ee-8874-4dad5afc487b · outbound

This paper cites Alexander, Steven E.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Alexander, Steven E

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:25.522495Z

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Observation 6fe83070-8d3d-428e-88bd-c6b053d60087 · outbound

This paper cites Syn- thetic data in ai: Challenges, applications, and ethical impli- cations, 2024.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Syn- thetic data in ai: Challenges, applications, and ethical impli- cations, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:25.269980Z

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Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Unresolved cited work

Reference 19

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Observation afa426d5-7e00-4b3f-92d5-82937e2a9a2e · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium, 2018.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Gans trained by a two time-scale update rule converge to a local nash equilib- rium, 2018

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:24.901543Z

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This paper cites Riedl, Tobias Zrzavy, Celia Lerma-Martin, Gregor Kasprian, Claudia E.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Riedl, Tobias Zrzavy, Celia Lerma-Martin, Gregor Kasprian, Claudia E

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:24.639520Z

Source-reported events for the cited work

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Observation 1bfdc6f3-c6b6-45bf-a76d-f0decf3b75f0 · outbound

This paper cites Huang, E.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Huang, E

Reference 22

Resolution: verified exact; doi, observed 2026-08-07T12:53:24.343288Z

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Observation eee5c5bd-c87a-45c8-b0ae-bc39371901dc · outbound

This paper cites Hurley, and Guangyuan Piao.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Hurley, and Guangyuan Piao

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:23.976522Z

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Observation 4c46340d-05b8-49c1-9144-1ff3a3d10584 · outbound

This paper cites Iglesias, Benjamin Billot, Ya ¨el Balbastre, Colin Magdamo, Steven E.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Iglesias, Benjamin Billot, Ya ¨el Balbastre, Colin Magdamo, Steven E

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:23.716356Z

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Observation 7fcb085e-6c11-4380-94f7-066f0d266f27 · outbound

This paper cites Paramagnetic rims in multiple scle- rosis and neuromyelitis optica spectrum disorder: A quanti- tative susceptibility mapping study with 3-t mri.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Paramagnetic rims in multiple scle- rosis and neuromyelitis optica spectrum disorder: A quanti- tative susceptibility mapping study with 3-t mri

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:23.501009Z

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Observation 43adcce6-464f-4101-ae7d-0078d865ea42 · outbound

This paper cites an unresolved cited work.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:53:23.329420Z

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Observation 1f74d9a3-a12b-4e42-897f-b3c8febf1218 · outbound

This paper cites A style-based generator architecture for generative adversarial networks,.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis A style-based generator architecture for generative adversarial networks,

Reference 27

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Observation 60f614b9-c746-4692-b4eb-3935d996ed6e · outbound

This paper cites Training generative adver- sarial networks with limited data, 2020.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Training generative adver- sarial networks with limited data, 2020

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:23.053338Z

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Observation 30906930-82b7-4ef3-8214-3f7f01ac29d9 · outbound

This paper cites Analyzing and improving the image quality of stylegan, 2020.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Analyzing and improving the image quality of stylegan, 2020

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:22.840159Z

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Observation b7acb6e6-d8d6-4902-9cb8-fd369be86850 · outbound

This paper cites Kaunzner and Susan A.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Kaunzner and Susan A

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:22.574842Z

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Observation ef55a81d-65a9-4607-bc9d-5fddba8939cc · outbound

This paper cites Prior image- constrained reconstruction using style-based generative models.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Prior image- constrained reconstruction using style-based generative models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:22.340293Z

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Observation e73bb44f-f261-4b62-8c43-80d60f4a284e · outbound

This paper cites Convolutional networks for images, speech, and time series , page 255–258.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Convolutional networks for images, speech, and time series , page 255–258

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:22.150894Z

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Observation 40b9a0f8-c9c5-4487-b1b2-f98d37e9b884 · outbound

This paper cites Detecting alzheimer’s disease on small dataset: A knowledge transfer perspective.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Detecting alzheimer’s disease on small dataset: A knowledge transfer perspective

Reference 33

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Observation f459a538-c1f8-4173-b588-1d65246bf766 · outbound

This paper cites Morphology enabled dipole inversion (medi) from a single- angle acquisition: Comparison with cosmos in human brain imaging.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Morphology enabled dipole inversion (medi) from a single- angle acquisition: Comparison with cosmos in human brain imaging

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:21.707169Z

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Observation 831a681f-8e9d-4d52-80ff-816864179967 · outbound

This paper cites Medi+0: Morphology enabled dipole inversion with automatic uniform cerebrospinal fluid zero reference for quantitative susceptibility mapping.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Medi+0: Morphology enabled dipole inversion with automatic uniform cerebrospinal fluid zero reference for quantitative susceptibility mapping

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:21.452526Z

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Observation 5ffc22fb-1143-401d-bb0f-af63c23e9501 · outbound

This paper cites an unresolved cited work.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Unresolved cited work

Reference 36

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2d127ad8-85ea-4e70-ba8a-532cc62828e3 · outbound

This paper cites Qsm-rimds: A detection and segmenta- tion tool for paramagnetic rim lesions in multiple sclerosis,.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Qsm-rimds: A detection and segmenta- tion tool for paramagnetic rim lesions in multiple sclerosis,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:21.188923Z

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Observation 86f581db-de1c-440a-a1e7-a857a8614cbc · outbound

This paper cites Maggi, P.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Maggi, P

Reference 38

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Observation 5bee4be4-c491-49b3-9a27-5b7551cef424 · outbound

This paper cites Employing deep learning and transfer learning for accurate brain tumor detection.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Employing deep learning and transfer learning for accurate brain tumor detection

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:20.957370Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 54d8cd40-c118-42f3-a1d4-28f0feaa0196 · outbound

This paper cites Mey, Kedar R.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Mey, Kedar R

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:20.700842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 50904d60-384d-4246-8b27-5150b1972df6 · outbound

This paper cites Conditional Generative Adversarial Nets.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Conditional Generative Adversarial Nets

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T12:53:11.238630Z

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Observation a68b3906-8b27-4995-aaa1-1eea747d7fc4 · outbound

This paper cites A deep learning ap- proach for synthetic mri based on two routine sequences and training with synthetic data.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis A deep learning ap- proach for synthetic mri based on two routine sequences and training with synthetic data

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:20.506428Z

Source-reported events for the cited work

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Observation d78b7f4d-1263-449d-8612-330ed4b8f0c0 · outbound

This paper cites an unresolved cited work.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:53:20.263633Z

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Observation b0543e38-cb85-48a0-aa22-9ff359337af8 · outbound

This paper cites Do 2d gans know 3d shape? unsupervised 3d shape reconstruction from 2d image gans.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Do 2d gans know 3d shape? unsupervised 3d shape reconstruction from 2d image gans

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:19.876053Z

Source-reported events for the cited work

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Observation f2dd6ee8-ce8e-4f58-9e78-be773b741db7 · outbound

This paper cites an unresolved cited work.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Unresolved cited work

Reference 45

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Observation 4cd98b4b-5774-4c93-b7c6-26fdf6e32a7e · outbound

This paper cites Roberts, Dominick J.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Roberts, Dominick J

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:19.518552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f8829584-4e8c-4d57-86de-57bad81d1c37 · outbound

This paper cites Quantitative susceptibility mapping radiomics with label noise compensation for predicting deep brain stimulation outcomes in parkinson’s disease.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Quantitative susceptibility mapping radiomics with label noise compensation for predicting deep brain stimulation outcomes in parkinson’s disease

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:19.372754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 63a33d6c-4b7c-43c6-9a4a-5ed8c6083534 · outbound

This paper cites Robertson and N.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Robertson and N

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:19.136584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6b6b00d7-fa07-462d-8ecb-cb78d78ef3ef · outbound

This paper cites Multiple sclerosis lesion synthesis in mri us- ing an encoder-decoder u-net.IEEE Access, 7:25171–25184,.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Multiple sclerosis lesion synthesis in mri us- ing an encoder-decoder u-net.IEEE Access, 7:25171–25184,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:18.996894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 59c33ff6-4bf2-4f3f-8b08-223295bde16b · outbound

This paper cites Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T12:53:12.347786Z

Source-reported events for the cited work

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Observation b2a6c86f-2a05-49f7-9b52-91aad7ccc0eb · outbound

This paper cites Very deep convo- lutional networks for large-scale image recognition, 2015.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Very deep convo- lutional networks for large-scale image recognition, 2015

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:18.876052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d5ca0676-7172-46e3-a0ef-20de35561ecb · outbound

This paper cites Simulating brain gradient-echo mag- netic resonance images through microstructural modeling.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Simulating brain gradient-echo mag- netic resonance images through microstructural modeling

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:18.701088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ba082f97-b8cb-4513-bc5c-c361dee9bc7f · outbound

This paper cites Hicks, Hugo L.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Hicks, Hugo L

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:18.556601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0de98a8d-84d3-4d1b-b935-22759356474c · outbound

This paper cites Robustness of conditional gans to noisy labels, 2018.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Robustness of conditional gans to noisy labels, 2018

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:18.424648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 380cbf25-2231-4216-b3a8-6bb4e73b04e1 · outbound

This paper cites Clarke, Nikos Evangelou, Sandy Pa- tel, Andrew Dwyer, Marc Agzarian, Stephen Bacchi, and Mark Slee.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Clarke, Nikos Evangelou, Sandy Pa- tel, Andrew Dwyer, Marc Agzarian, Stephen Bacchi, and Mark Slee

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:18.222673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fc1b0427-4f81-47c2-8eed-8cf9e18f8599 · outbound

This paper cites A mixed- supervision multilevel gan framework for image quality en- hancement, 2021.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis A mixed- supervision multilevel gan framework for image quality en- hancement, 2021

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:18.057179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 23050f38-d9c9-438a-9d57-eb498687b7aa · outbound

This paper cites Transfer learning in magnetic resonance brain imaging: A systematic review.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Transfer learning in magnetic resonance brain imaging: A systematic review

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:17.781488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e95664c2-2542-4476-86b8-9f0871e5371e · outbound

This paper cites an unresolved cited work.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Unresolved cited work

Reference 58

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T12:53:15.283867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67732d9b-f434-4df9-8cbf-22d7595156f9 · outbound

This paper cites Covidgan: Data augmentation using auxiliary classifier gan for improved covid-19 detection.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Covidgan: Data augmentation using auxiliary classifier gan for improved covid-19 detection

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:17.600561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a5facd82-3a27-4914-b7b1-c09d73a5172a · outbound

This paper cites Rising prevalence of multiple sclero- sis worldwide: Insights from the atlas of ms, third edition.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Rising prevalence of multiple sclero- sis worldwide: Insights from the atlas of ms, third edition

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:17.449781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 60980da0-01a1-4cd5-85a6-29f2119587a1 · outbound

This paper cites an unresolved cited work.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Unresolved cited work

Reference 61

Resolution: verified exact; doi, observed 2026-08-07T12:53:14.890032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b007bd0a-9395-4769-b5c2-451c7ecb8169 · outbound

This paper cites Differential diagnosis of multiple sclerosis and other inflam- matory cns diseases.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Differential diagnosis of multiple sclerosis and other inflam- matory cns diseases

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:17.243042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9982114d-5676-450a-8cda-c699c41e1d96 · outbound

This paper cites Montanez.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Montanez

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:17.060813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2e563a94-5434-4f36-bdf0-8c56c5ad8b6c · outbound

This paper cites Gan inversion: A survey,.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Gan inversion: A survey,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:16.863833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0eba5afb-aebf-46eb-b9c2-8de8f1bde079 · outbound

This paper cites Synaug: Exploiting synthetic data for data imbalance problems, 2024.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Synaug: Exploiting synthetic data for data imbalance problems, 2024

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:16.642112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9571990a-d0d6-4b88-b06f-4af69e05f2aa · outbound

This paper cites Nguyen, Jinwei Zhang, Melanie Marcille, Pascal Spincemaille, Yi Wang, Susan A.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Nguyen, Jinwei Zhang, Melanie Marcille, Pascal Spincemaille, Yi Wang, Susan A

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:16.426813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 51ef082f-992c-43de-9b26-0b788134c40e · outbound

This paper cites Efros, Eli Shecht- man, and Oliver Wang.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Efros, Eli Shecht- man, and Oliver Wang

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:16.276974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 47318729-b3ad-44c6-9f59-5f08d0f936ab · outbound

This paper cites Zhang, T.D.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Zhang, T.D

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:16.122049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5155e5eb-1a66-4045-bde4-c1bfb0608b3d · outbound

This paper cites Learning Deep Features for Discriminative Localization.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Learning Deep Features for Discriminative Localization

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T12:53:14.598242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e509f4b-52d8-464a-ad5c-09ad903fbc1b · outbound

This paper cites S ¸is ¸man, T.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis S ¸is ¸man, T

Reference 70

Resolution: verified exact; doi, observed 2026-08-07T12:53:15.930990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 82a560f5-40a8-4c14-9965-229563c44f33 · outbound

This paper cites Epub 2022 Jun 1.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Epub 2022 Jun 1

Reference 1546

Resolution: unresolved; no resolver link, observed 2026-08-07T12:53:10.167961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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