Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:54:27.370279Z
Paper Citation Record · LEDGER
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation
As of 13 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 1 inbound Pith citation observation for arXiv:2411.09434.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-16T02:41:10.796618Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T02:42:10.399999Z
Reference resolution
67 of 67 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 51d16c8d-94c1-4c5c-ae01-475ac24a161a · outbound
This paper cites Diffusion Visual Counterfactual Explanations.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Diffusion Visual Counterfactual Explanations
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation 56b4ffbc-10db-4e30-954d-ffd50bdcc35a · outbound
This paper cites Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T
Reference 2
- Resolution
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Source-reported events for the cited work
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Observation b6406c00-11c6-4f6a-89c6-50465ed2316b · outbound
This paper cites V oynov, Valentin Khrulkov, and Artem Babenko.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation V oynov, Valentin Khrulkov, and Artem Babenko
Reference 3
- Resolution
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Source-reported events for the cited work
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Observation a9bc971d-2a09-4959-9bad-405b483e843f · outbound
This paper cites Gori, and Is- abelle Bloch.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Gori, and Is- abelle Bloch
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation def8cc6a-66a8-4321-aa33-967da0874cf1 · outbound
This paper cites Demystifying MMD GANs.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Demystifying MMD GANs
Reference 5
- Resolution
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Observation 0294d8d2-9c12-4805-b8f8-4a351a67d8f7 · outbound
This paper cites Celard, E.
Reference 6
- Resolution
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Source-reported events for the cited work
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Observation e70448f4-17c3-4b65-a3ec-d4c9e1d0af5e · outbound
This paper cites Towards generalizable tumor synthesis, 2024.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Towards generalizable tumor synthesis, 2024
Reference 7
- Resolution
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Observation 0bf465a3-f3db-4a69-b0e8-add2993d9115 · outbound
This paper cites Lightdiff: Surgical endoscopic image low-light enhancement with t-diffusion, 2024.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Lightdiff: Surgical endoscopic image low-light enhancement with t-diffusion, 2024
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1970cda3-6687-4625-aabb-239f55ec1284 · outbound
This paper cites A manifesto on explainability for artificial in- telligence in medicine.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation A manifesto on explainability for artificial in- telligence in medicine
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation 64df2a32-3f7d-4d34-8dbd-84100d7feeec · outbound
This paper cites Simon Sherratt.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Simon Sherratt
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 633f56d6-e625-4bc2-9de7-80a3890484aa · outbound
This paper cites Diffusion models beat GANs on image synthesis.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Diffusion models beat GANs on image synthesis
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 55f03597-8c47-4825-ae4f-ae9f8c21e5a4 · outbound
This paper cites Conditional diffusion mod- els for semantic 3d brain mri synthesis.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Conditional diffusion mod- els for semantic 3d brain mri synthesis
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2b8abfa2-5286-40e1-9d70-77e82200891a · outbound
This paper cites Counterfactual visual explanations.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Counterfactual visual explanations
Reference 13
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Source-reported events for the cited work
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Observation 97023a2c-25a8-40f4-9cbd-790ee8c23517 · outbound
This paper cites an unresolved cited work.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Unresolved cited work
Reference 14
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Source-reported events for the cited work
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Observation 17ab273f-9878-42dc-bd46-b3104c2905d0 · outbound
This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Gans trained by a two time-scale update rule converge to a local nash equilib- rium
Reference 15
- Resolution
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Source-reported events for the cited work
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Observation 913ffb97-c4bb-4111-8165-c9bce2d7349a · outbound
This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Imagen Video: High Definition Video Generation with Diffusion Models
Reference 16
- Resolution
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Source-reported events for the cited work
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Observation e4314580-7d6e-4efc-ae1b-be109c4b2237 · outbound
This paper cites Denoising diffu- sion probabilistic models.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Denoising diffu- sion probabilistic models
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation 9c5f8df1-74e3-4c4c-a2bf-be7ae15e1374 · outbound
This paper cites Densely connected convolutional net- works.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Densely connected convolutional net- works
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 0d8d0a4f-28c2-4e34-b5ab-fa928726a7c9 · outbound
This paper cites Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiro- masa Morikawa, Hernghua Chang, Jesper Tegner, and Mar- cel Worring.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiro- masa Morikawa, Hernghua Chang, Jesper Tegner, and Mar- cel Worring
Reference 19
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 226035df-7f5a-4036-b22e-5301a0a90f9e · outbound
This paper cites Improving conditional score-based generation with cali- brated classification and joint training.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Improving conditional score-based generation with cali- brated classification and joint training
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0d1ea167-2b31-43d5-be91-e4d62e63c7d5 · outbound
This paper cites Robust com- pressed sensing mri with deep generative priors.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Robust com- pressed sensing mri with deep generative priors
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ba44e6bb-96db-40d5-b5cb-dd2834eea783 · outbound
This paper cites Minimal data requirement for re- alistic endoscopic image generation with stable diffusion.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Minimal data requirement for re- alistic endoscopic image generation with stable diffusion
Reference 22
- Resolution
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Source-reported events for the cited work
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Observation 6b6c9573-c7ab-4b0d-9993-4977163b9039 · outbound
This paper cites Learning Data Representations with Joint Diffusion Models.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Learning Data Representations with Joint Diffusion Models
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation 09912816-93fb-4277-b682-3f5d385a6f5e · outbound
This paper cites Diffusion deformable model for 4d temporal medical image generation.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Diffusion deformable model for 4d temporal medical image generation
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation be4819cd-6a4b-4a6b-bacd-36d22f6ad36a · outbound
This paper cites Diffusion deformable model for 4d temporal medical image generation.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Diffusion deformable model for 4d temporal medical image generation
Reference 25
- Resolution
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Source-reported events for the cited work
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Observation 8ababd44-0c88-4012-bd9a-afac5f37f788 · outbound
This paper cites Adaptive latent diffusion model for 3d medical image to image translation: Multi- modal magnetic resonance imaging study.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Adaptive latent diffusion model for 3d medical image to image translation: Multi- modal magnetic resonance imaging study
Reference 26
- Resolution
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Source-reported events for the cited work
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Observation 0a5fb3b0-9a5a-44e4-8aaa-374f50cc1894 · outbound
This paper cites Kingma and Max Welling.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Kingma and Max Welling
Reference 27
- Resolution
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Source-reported events for the cited work
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Observation 46471a16-38ab-4d1a-a7f0-fea14934dd70 · outbound
This paper cites Diffusion Models already have a Semantic Latent Space.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Diffusion Models already have a Semantic Latent Space
Reference 28
- Resolution
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Observation db42b6c3-db85-4751-b59c-777f50f3b12e · outbound
This paper cites Acpl: Anti- curriculum pseudo-labelling for semi-supervised medical image classification, 2022.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Acpl: Anti- curriculum pseudo-labelling for semi-supervised medical image classification, 2022
Reference 29
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Source-reported events for the cited work
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Observation c070ea6f-e411-495a-a011-0b4d237f5933 · outbound
This paper cites Cordeiro, Vasileios Bela- giannis, Ian Reid, and Gustavo Carneiro.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Cordeiro, Vasileios Bela- giannis, Ian Reid, and Gustavo Carneiro
Reference 30
- Resolution
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Observation 74bbceef-f649-4483-9ea2-bba5de396b74 · outbound
This paper cites Diffsinger: Singing voice synthesis via shallow diffu- sion mechanism.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Diffsinger: Singing voice synthesis via shallow diffu- sion mechanism
Reference 31
- Resolution
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Source-reported events for the cited work
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Observation 1f99c75d-8880-4489-8a74-54fbe6450893 · outbound
This paper cites Semi-supervised medical image classi- fication with relation-driven self-ensembling model.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Semi-supervised medical image classi- fication with relation-driven self-ensembling model
Reference 32
- Resolution
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Observation c4958d77-5d0c-40c7-8856-1f662f4139b7 · outbound
This paper cites Diffusion hyperfeatures: Searching through time and space for semantic correspondence.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Diffusion hyperfeatures: Searching through time and space for semantic correspondence
Reference 33
- Resolution
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Source-reported events for the cited work
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Observation 287618bf-72bd-4271-a8ac-82ac8e070417 · outbound
This paper cites Diffusion hyperfeatures: Searching through time and space for semantic correspondence.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Diffusion hyperfeatures: Searching through time and space for semantic correspondence
Reference 34
- Resolution
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Source-reported events for the cited work
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Observation 9c2836a8-4feb-4ed1-8be7-d90d89da5694 · outbound
This paper cites Ganterfac- tual—counterfactual explanations for medical non-experts using generative adversarial learning.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Ganterfac- tual—counterfactual explanations for medical non-experts using generative adversarial learning
Reference 35
- Resolution
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Source-reported events for the cited work
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Observation e69e9985-c2b4-4dc3-8995-eac1d48fd890 · outbound
This paper cites Virtual adversarial training: A regularization method for supervised and semi-supervised learning.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Virtual adversarial training: A regularization method for supervised and semi-supervised learning
Reference 36
- Resolution
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Source-reported events for the cited work
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Observation 82f9b324-033d-44a6-9330-6f8e54b70761 · outbound
This paper cites Codcam: A new ensemble visual explanation for classification of medical thermal im- ages.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Codcam: A new ensemble visual explanation for classification of medical thermal im- ages
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0dc77453-d465-4ae5-a64a-5114a6467e26 · outbound
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Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Unresolved cited work
Reference 38
- Resolution
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Observation bd2550c0-17eb-4af7-aee1-e7a27277e07b · outbound
This paper cites Understanding the latent space of diffusion models through the lens of riemannian geome- try.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Understanding the latent space of diffusion models through the lens of riemannian geome- try
Reference 39
- Resolution
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Source-reported events for the cited work
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Observation b0a249cd-7117-4cff-9591-cde5bbcb7d31 · outbound
This paper cites Kevin Zhou, Vishal M.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Kevin Zhou, Vishal M
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e2bc19ee-25ee-4c12-bef2-1d82d3c65c1f · outbound
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Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Unresolved cited work
Reference 41
- Resolution
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Source-reported events for the cited work
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Observation a179704f-c216-414f-824c-8b9ae7d61c37 · outbound
This paper cites Grad-tts: A diffusion prob- abilistic model for text-to-speech.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Grad-tts: A diffusion prob- abilistic model for text-to-speech
Reference 42
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4930ae61-cb47-4122-a106-a2aa0a031f78 · outbound
This paper cites Rahman, J.
Reference 43
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 125330d2-80fc-49bb-baa5-13576160410a · outbound
This paper cites Lungren, and An- drew Y.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Lungren, and An- drew Y
Reference 44
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8d4d1f8d-7e53-43aa-bafe-028664f93f66 · outbound
This paper cites High-resolution image syn- thesis with latent diffusion models, 2022.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation High-resolution image syn- thesis with latent diffusion models, 2022
Reference 45
- Resolution
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Source-reported events for the cited work
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Observation e99987d6-dca4-47ce-9edb-6d43728273f8 · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation,.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation U-net: Convolutional networks for biomedical image segmentation,
Reference 46
- Resolution
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Source-reported events for the cited work
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Observation 2185a08c-2b58-4fa8-a1da-627a60bb0d90 · outbound
This paper cites Debiasing cardiac imaging with controlled latent diffusion models, 2024.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Debiasing cardiac imaging with controlled latent diffusion models, 2024
Reference 47
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ec3f31c3-9d00-464c-ba0e-252b6195223f · outbound
This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Deep unsupervised learning using nonequilibrium thermodynamics
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:54:27.247938Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b94c6bcb-0328-4cd0-88c1-a08deb6ba2c3 · outbound
This paper cites Cubuk, Alex Kurakin, Han Zhang, and Colin Raffel.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Cubuk, Alex Kurakin, Han Zhang, and Colin Raffel
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:54:27.576743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation fd3654f0-b016-4b45-8a61-8e927c4704f2 · outbound
This paper cites Generative modeling by esti- mating gradients of the data distribution.Advances in Neural Information Processing Systems, 32, 2019.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Generative modeling by esti- mating gradients of the data distribution.Advances in Neural Information Processing Systems, 32, 2019
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:54:27.569441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 88bbdfbd-a9ae-4792-95b4-337416dde8a9 · outbound
This paper cites Solv- ing inverse problems in medical imaging with score-based generative models.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Solv- ing inverse problems in medical imaging with score-based generative models
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:54:27.561193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 132512b7-c764-458b-9fa6-621f369dd0f2 · outbound
This paper cites Santab´arbara-G´omez, Iv ´an Mac ´ıa Oliver, and Miguel A.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Santab´arbara-G´omez, Iv ´an Mac ´ıa Oliver, and Miguel A
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:54:27.554105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f3353da2-2a86-457c-bea2-2cac9cba904d · outbound
This paper cites Semi-supervised classification of radiology images with noteacher: A teacher that is not mean.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Semi-supervised classification of radiology images with noteacher: A teacher that is not mean
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:54:27.546362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c3001e64-c4b4-4b79-9674-15c22195d46f · outbound
This paper cites Towards generic semi- supervised framework for volumetric medical image seg- mentation.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Towards generic semi- supervised framework for volumetric medical image seg- mentation
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:54:27.539103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 88f28551-89e0-4df4-b0b5-ae10680ffbdf · outbound
This paper cites Jorge Cardoso, and Razvan Mari- nescu.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Jorge Cardoso, and Razvan Mari- nescu
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:54:27.531708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3e2b4dfe-b709-4937-ab9e-6d13beb3992c · outbound
This paper cites an unresolved cited work.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T21:54:27.523942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 00b8d18e-f07a-4186-9899-2045d0aae412 · outbound
This paper cites Implicit image-to-image schrodinger bridge for ct super-resolution and denoising,.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Implicit image-to-image schrodinger bridge for ct super-resolution and denoising,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:54:27.516129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d507b47e-bf06-4632-a6c6-eb808b2edf06 · outbound
This paper cites Diffusion models for medical anomaly detection.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Diffusion models for medical anomaly detection
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:54:27.508307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4a6fd22c-bf31-476c-90ee-107c908f8650 · outbound
This paper cites Ddm2: Self-supervised diffu- sion mri denoising with generative diffusion models.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Ddm2: Self-supervised diffu- sion mri denoising with generative diffusion models
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:54:27.500367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cf5bac9a-548c-480f-afec-11192313ea9f · outbound
This paper cites an unresolved cited work.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T21:54:27.492405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 91b17cc1-ee6f-48f6-8888-3f2ed2a61aa1 · outbound
This paper cites Measurement-conditioned denoising diffusion probabilistic model for under-sampled medical image reconstruction.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Measurement-conditioned denoising diffusion probabilistic model for under-sampled medical image reconstruction
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:54:27.484680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d1e3ea11-ef15-476e-86ae-e0359044f504 · outbound
This paper cites Simultaneous tri-modal medical image fusion and super- resolution using conditional diffusion model, 2024.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Simultaneous tri-modal medical image fusion and super- resolution using conditional diffusion model, 2024
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:54:27.476855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5a7feac6-5fa0-4449-a1b9-e2d2d71ae165 · outbound
This paper cites DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T21:54:27.407559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b292e083-5e3d-4475-b4ef-0e689f4c304f · outbound
This paper cites Synthetic augmentation with large-scale uncon- ditional pre-training.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Synthetic augmentation with large-scale uncon- ditional pre-training
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:54:27.469035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b6f7ebd9-7876-4b39-a329-3691bc536f79 · outbound
This paper cites Stochastic segmentation with conditional categorical diffusion models.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Stochastic segmentation with conditional categorical diffusion models
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:54:27.460971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 64e0c192-8202-4d4e-970d-a4f890684d5d · outbound
This paper cites Pefat: Boosting semi-supervised medical image classification via pseudo-loss estimation and feature adversarial training.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation Pefat: Boosting semi-supervised medical image classification via pseudo-loss estimation and feature adversarial training
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:54:27.452814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 12eb1bb3-94db-424d-929b-ff387f0c21f6 · outbound
This paper cites M3Dsynth: A dataset of medical 3D images with AI-generated local manipulations.
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation M3Dsynth: A dataset of medical 3D images with AI-generated local manipulations
Reference 67
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T21:54:27.397023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
Observation 97601a7e-0db0-4933-8b0f-731e93e5cac3 · inbound
Explainability in Generative Medical Diffusion Models: A Faithfulness-Based Analysis on MRI Synthesis cites this paper.
Explainability in Generative Medical Diffusion Models: A Faithfulness-Based Analysis on MRI Synthesis Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T02:42:10.404240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.