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Paper Citation Record · LEDGER

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review

As of 23 August 2026, this Paper Citation Record lists 100 of 212 outbound references and 0 inbound Pith citation observations for arXiv:2505.07866.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.07866 v1

Coverage vector

measured 100 of 212 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:56:46.717569Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 212 outbound references displayed

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Outbound references

Observation 46b1f855-62bb-426b-a8da-2e45e729f35f · outbound

This paper cites Generative adversarial nets.Advances in neural information processing systems, 27, 2014.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Generative adversarial nets.Advances in neural information processing systems, 27, 2014

Reference 1

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Observation 0243aa6f-6fc7-468b-b421-6675f107d8dc · outbound

This paper cites Dynamical Variational Autoencoders: A Comprehensive Review.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Dynamical Variational Autoencoders: A Comprehensive Review

Reference 2

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Observation bdeab060-5d75-42cb-ac0e-cc948319ddf2 · outbound

This paper cites Learning joint latent space ebm prior model for multi-layer generator.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Learning joint latent space ebm prior model for multi-layer generator

Reference 3

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Observation e6548985-b5ef-44e6-82f1-e4133ef1c8a6 · outbound

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

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Medical image generation using generative adversarial networks: A review

Reference 4

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Observation e895f7fe-8b5a-4193-89f6-7e4efd686a55 · outbound

This paper cites Generative adversarial networks for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing, 56(9):5046–5063, 2018.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Generative adversarial networks for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing, 56(9):5046–5063, 2018

Reference 5

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Observation f629c586-e1a6-43b1-a8ea-cd8200175c3f · outbound

This paper cites Generative adversarial networks in medical image segmentation: A review.Computers in biology and medicine, 140:105063, 2022.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Generative adversarial networks in medical image segmentation: A review.Computers in biology and medicine, 140:105063, 2022

Reference 6

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Observation 2b2f34da-81e2-47b8-8201-5bc8d70e69bd · outbound

This paper cites It gan do better: Gan-based detection of objects on images with varying quality.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review It gan do better: Gan-based detection of objects on images with varying quality

Reference 7

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Observation aed1f7b4-2fb6-4dcb-a682-8831d42ff9d2 · outbound

This paper cites An analysis of evaluation metrics of gans.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review An analysis of evaluation metrics of gans

Reference 8

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Observation ba4f3319-fe60-4033-bbc3-69ad5c57d3d4 · outbound

This paper cites Diffusion models in vision: A survey.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Diffusion models in vision: A survey

Reference 9

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Observation b992411c-a413-472f-a704-16ff4db046f4 · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications.ACM Computing Surveys, 56(4):1–39, 2023.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Diffusion models: A comprehensive survey of methods and applications.ACM Computing Surveys, 56(4):1–39, 2023

Reference 10

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Observation 24c606d9-bdfd-4d5f-9c8b-a1f9e3c90bc3 · outbound

This paper cites Efficient Diffusion Models for Vision: A Survey.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Efficient Diffusion Models for Vision: A Survey

Reference 11

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Observation e2d43aca-a504-4284-8aab-f66472c93244 · outbound

This paper cites Diffusion Models for Medical Image Analysis: A Comprehensive Survey.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Diffusion Models for Medical Image Analysis: A Comprehensive Survey

Reference 12

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Observation 19fc4eb5-ed6e-47a6-b573-188c7fc5c2b7 · outbound

This paper cites Fleet, Mohammad Norouzi, and Tim Salimans.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Fleet, Mohammad Norouzi, and Tim Salimans

Reference 13

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Observation 8977c4b8-4c32-409b-88c7-2635e0a98fbf · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review High-resolution image synthesis with latent diffusion models

Reference 14

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Observation b34569f7-88df-4b73-836f-0592620fe3e1 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 15

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Observation 377c1929-f2cf-4a5e-a851-55d60967265a · outbound

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

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Imagen Video: High Definition Video Generation with Diffusion Models

Reference 16

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Observation 16e9ff94-e51f-46b3-bac7-6ad94dfbb583 · outbound

This paper cites Text-to-audio generation using instruction guided latent diffusion model.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Text-to-audio generation using instruction guided latent diffusion model

Reference 17

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Observation 11ee3810-5671-4e68-ae8c-c32578708c25 · outbound

This paper cites Liang, and Tatsunori B.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Liang, and Tatsunori B

Reference 18

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Observation 75438d6a-b0ef-48ea-8353-b60ff55ad32d · outbound

This paper cites Improved denoising diffusion probabilistic models.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Improved denoising diffusion probabilistic models

Reference 19

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Observation 52ede057-f243-4ce6-bdb7-9c5082ddb1d2 · outbound

This paper cites Diffusion models as plug-and-play priors.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Diffusion models as plug-and-play priors

Reference 20

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Observation b3947a13-3998-484a-964c-6acd997fe9e2 · outbound

This paper cites Srdiff: Single image super-resolution with diffusion probabilistic models.Neurocomputing, 479:47–59, 2022.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Srdiff: Single image super-resolution with diffusion probabilistic models.Neurocomputing, 479:47–59, 2022

Reference 21

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Observation a2a1925d-552e-49fe-9ffd-00b35a08896c · outbound

This paper cites Conditional Image Generation with Score-Based Diffusion Models.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Conditional Image Generation with Score-Based Diffusion Models

Reference 22

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Observation c019c7c4-ffa1-4b2f-8efa-72cdd1751486 · outbound

This paper cites SegDiff: Image Segmentation with Diffusion Probabilistic Models.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 23

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Observation 037607fb-6120-4d45-a36a-7939c16681da · outbound

This paper cites Label-Efficient Semantic Segmentation with Diffusion Models.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Label-Efficient Semantic Segmentation with Diffusion Models

Reference 24

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Observation 76a0a345-2321-40c6-90c8-e631ca6bfcb6 · outbound

This paper cites BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models

Reference 25

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Observation 00b92850-9fec-4d7c-a804-6acc99801369 · outbound

This paper cites Diffmic: Dual-guidance diffusion network for medical image classification.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Diffmic: Dual-guidance diffusion network for medical image classification

Reference 26

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Observation bff1170b-0fab-41f0-95f0-260dd8bd8950 · outbound

This paper cites Score-Based Generative Classifiers.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Score-Based Generative Classifiers

Reference 27

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Observation 44cf9df9-27c5-48e6-a57f-1b5e7e9a93b9 · outbound

This paper cites Brain imaging generation with latent diffusion models.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Brain imaging generation with latent diffusion models

Reference 28

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Observation d75fd571-6a78-4115-b549-83d63f3deb46 · outbound

This paper cites Neural wavelet-domain diffusion for 3d shape generation.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Neural wavelet-domain diffusion for 3d shape generation

Reference 29

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Observation ec91bf42-8248-4d4c-b4e3-6128a07b6b76 · outbound

This paper cites Diffusion-GAN: Training GANs with Diffusion.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Diffusion-GAN: Training GANs with Diffusion

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Observation 77c42961-237b-4ca2-a988-6158060828cc · outbound

This paper cites Dermosegdiff: A boundary-aware segmentation diffusion model for skin lesion delineation.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Dermosegdiff: A boundary-aware segmentation diffusion model for skin lesion delineation

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Observation 76835457-94a9-4f3c-973f-522879752158 · outbound

This paper cites Robust Classification via a Single Diffusion Model.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Robust Classification via a Single Diffusion Model

Reference 32

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Observation bf4b5c26-af90-45ab-8243-4149f5676d09 · outbound

This paper cites DifFSS: Diffusion Model for Few-Shot Semantic Segmentation.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review DifFSS: Diffusion Model for Few-Shot Semantic Segmentation

Reference 33

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Observation 53baa3ac-dd2a-467e-bc90-5b4bd9c0e854 · outbound

This paper cites DiffusionInst: Diffusion Model for Instance Segmentation.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review DiffusionInst: Diffusion Model for Instance Segmentation

Reference 34

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Observation d18ed332-f6e4-4f8b-ba4e-c9d8f07b8260 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Repaint: Inpainting using denoising diffusion probabilistic models

Reference 36

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Observation 6c3b1c02-ea5e-41f7-a12e-c74d81589fb6 · outbound

This paper cites ROIC-DM: Robust Text Inference and Classification via Diffusion Model.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review ROIC-DM: Robust Text Inference and Classification via Diffusion Model

Reference 37

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Observation e35ef315-d752-45ae-aa8c-3d72837a84c5 · outbound

This paper cites Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image Classification.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image Classification

Reference 38

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Observation f9e504aa-d1de-423e-965e-3dac14d9ed62 · outbound

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Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Unresolved cited work

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Observation 351ffb45-ce45-41d1-b6e3-8c3ecce31785 · outbound

This paper cites Diffusion-based Image Translation using Disentangled Style and Content Representation.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Diffusion-based Image Translation using Disentangled Style and Content Representation

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Observation 838261f7-7f76-4bcc-9c8a-b3d107dc6efd · outbound

This paper cites UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models

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Observation c8d5a87e-2bd2-48ef-8305-22928ca026cc · outbound

This paper cites Blended diffusion for text-driven editing of natural images.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Blended diffusion for text-driven editing of natural images

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Observation b05bc958-6808-4e28-9f10-811d0c042f1f · outbound

This paper cites Low-light image enhancement with wavelet- based diffusion models.ACM Transactions on Graphics (TOG), 42(6):1–14, 2023.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Low-light image enhancement with wavelet- based diffusion models.ACM Transactions on Graphics (TOG), 42(6):1–14, 2023

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Observation 0539f703-3094-4c43-9acf-41f4babb460e · outbound

This paper cites Upgpt: Universal diffusion model for person image generation, editing and pose transfer.International Conference on Computer Vision, pages 4173–4182, 2023.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Upgpt: Universal diffusion model for person image generation, editing and pose transfer.International Conference on Computer Vision, pages 4173–4182, 2023

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Observation 78ad18e7-b87a-43ec-a4f7-76d7c0f3d37f · outbound

This paper cites Measurement-conditioned denoising diffusion probabilistic model for under-sampled medical image reconstruction.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Measurement-conditioned denoising diffusion probabilistic model for under-sampled medical image reconstruction

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Observation 7d3794d9-fd9c-45cb-b747-0baec9f9b722 · outbound

This paper cites Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration

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Observation 211263a3-fb01-4a91-b02b-052d25932290 · outbound

This paper cites Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution

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Observation 2bd9d60a-6a52-40e2-a309-d6692713fbe8 · outbound

This paper cites Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, and Tim Salimans.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, and Tim Salimans

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Observation c68820fe-9e53-4d58-ac72-a0b9439be87e · outbound

This paper cites Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models

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source=pdf_text observed=2026-08-15T22:56:46.470109Z digest=sha256:8ac251260a3bd5aedf103bb3ec0e9c76550d3943195b33d5786ed416ba2688f9

Observation a88ad126-336e-4408-806b-d3c58e4483f7 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Hierarchical Text-Conditional Image Generation with CLIP Latents

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source=pdf_text observed=2026-08-15T22:56:46.474921Z digest=sha256:0aec41a7ab25013858ccf261ede61a6a6bd30d57a41665c1d7c7be4838ad7d7c

Observation 41b57e34-4143-43e6-bc90-9b8d4c791e94 · outbound

This paper cites Diffusion-based generation of histopathological whole slide images at a gigapixel scale.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Diffusion-based generation of histopathological whole slide images at a gigapixel scale

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source=pdf_text observed=2026-08-15T22:56:46.480552Z digest=sha256:6eb9fb96c07d7fd7575c6e6aa8c6c4c9ef4f63c492105ffed1604c5e57518603

Observation 7b107898-64f5-4445-83a9-af78fb0a2a95 · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Make-A-Video: Text-to-Video Generation without Text-Video Data

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source=pdf_text observed=2026-08-15T22:56:46.485150Z digest=sha256:02d04d7b88da5517715aeb13be0be420986d4bee201cf41198e6d1e40f73eaee

Observation 319b255e-1057-4eb1-9abd-30c36b6fc572 · outbound

This paper cites Blended latent diffusion.ACM Transactions on Graphics (TOG), 42(4):1–11, 2023.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Blended latent diffusion.ACM Transactions on Graphics (TOG), 42(4):1–11, 2023

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Observation 34026d41-f506-4826-9a15-70e2c43f0618 · outbound

This paper cites Generation of anonymous chest radiographs using latent diffusion models for training thoracic abnormality classification systems.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Generation of anonymous chest radiographs using latent diffusion models for training thoracic abnormality classification systems

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source=pdf_text observed=2026-08-15T22:56:46.494542Z digest=sha256:15f1f3cf1334378879f036905404df22ec9329e65d5b43932c19f934adb90786

Observation af64871a-299f-49c8-9f84-f5a783096e51 · outbound

This paper cites Similarity-aware Syncretic Latent Diffusion Model for Medical Image Translation with Representation Learning.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Similarity-aware Syncretic Latent Diffusion Model for Medical Image Translation with Representation Learning

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source=pdf_text observed=2026-08-15T22:56:46.499462Z digest=sha256:e8e92b5216ad3f3307627e9a2ec6e7f9aa34cb77409732e6c13516caefbf6201

Observation d6607c15-361c-40d5-a8ff-4f43fcf3ffb1 · outbound

This paper cites Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2

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source=pdf_text observed=2026-08-15T22:56:46.504662Z digest=sha256:917b29ba28a54f4f5f142bb3307304a2a56d71381611e9c5ff1a748796781741

Observation 6468d673-1871-44ba-8930-eab474cb3ea0 · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794, 2021.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794, 2021

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Observation 4f17ec33-1d8e-47e5-bdac-45688d66b527 · outbound

This paper cites Wavelet diffusion models are fast and scalable image generators.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Wavelet diffusion models are fast and scalable image generators

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source=pdf_text observed=2026-08-15T22:56:46.513782Z digest=sha256:4482e5df8bb121137cf34efee5c16a90335bc784f91b24646e3397d066edaf8a

Observation 2db7b12f-1911-483f-b320-bb7eff6e1696 · outbound

This paper cites Wavegan: Frequency-aware gan for high-fidelity few-shot image generation.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Wavegan: Frequency-aware gan for high-fidelity few-shot image generation

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source=pdf_text observed=2026-08-15T22:56:46.518688Z digest=sha256:a7000542e4254ca833b162c838b6a5e8a5411a9fe89b20345c387e077fc53ecb

Observation 25814bf5-a0b0-4dea-930e-95bd62ef5e82 · outbound

This paper cites Stage-by-stage wavelet optimization refinement diffusion model for sparse-view ct reconstruction.IEEE Transactions on Medical Imaging, 2024.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Stage-by-stage wavelet optimization refinement diffusion model for sparse-view ct reconstruction.IEEE Transactions on Medical Imaging, 2024

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Observation 3d9ad257-c320-4b43-b0a7-9b430c29c927 · outbound

This paper cites Edgewavenet: edge aware residual wavelet gan for oct image denoising.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Edgewavenet: edge aware residual wavelet gan for oct image denoising

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Observation d3b32751-bd30-4d9f-8f86-9eecd275f4fd · outbound

This paper cites Diffusion Model-Based Image Editing: A Survey.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Diffusion Model-Based Image Editing: A Survey

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source=pdf_text observed=2026-08-15T22:56:46.536601Z digest=sha256:d9083ad5f4bd0545970f2780446583bb202dc3a74d4ac8dd363ae92acdf20810

Observation 2f89e38c-b519-4ee3-8117-f3ea43b88a0f · outbound

This paper cites A survey on generative diffusion models.IEEE Transactions on Knowledge and Data Engineering, 2024.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review A survey on generative diffusion models.IEEE Transactions on Knowledge and Data Engineering, 2024

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source=pdf_text observed=2026-08-15T22:56:46.540926Z digest=sha256:fa954bd2b9f3bb132046687756382b6963baa483e0b3bb7be6f6d586f8fa7a3c

Observation ac5b8497-59e2-4692-8351-f09d78a7b31b · outbound

This paper cites Tackling the Generative Learning Trilemma with Denoising Diffusion GANs.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

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source=pdf_text observed=2026-08-15T22:56:46.545500Z digest=sha256:68ccc71ed007556bd3fc11f787b7239751e497218895b13fd591ef4277cfa4ab

Observation 79c4c01e-62ec-4423-b850-b406fb544d0c · outbound

This paper cites Learning structured output representation using deep conditional generative models.Advances in neural information processing systems, 28, 2015.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Learning structured output representation using deep conditional generative models.Advances in neural information processing systems, 28, 2015

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Observation b05ac287-5206-421b-8a47-85b5d455be77 · outbound

This paper cites High-resolution image reconstruction with latent diffusion models from human brain activity.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review High-resolution image reconstruction with latent diffusion models from human brain activity

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Observation 8061cf32-1c45-4c29-9683-aa4dfaaa66b1 · outbound

This paper cites an unresolved cited work.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Unresolved cited work

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source=pdf_text observed=2026-08-15T22:56:46.557819Z digest=sha256:cb8781f2d1a3f7afcc742a702fc4544bb5b5e92a6aab167f60a48bb48c62afbb

Observation 00e3f665-094d-4df5-b399-7ca0cd11e088 · outbound

This paper cites A robust 3-d medical watermarking based on wavelet transform for data protection.Computer Systems Science & Engineering, 41(3), 2022.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review A robust 3-d medical watermarking based on wavelet transform for data protection.Computer Systems Science & Engineering, 41(3), 2022

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Observation 4cbeaf19-d7c0-41cf-b714-746c699f4b4a · outbound

This paper cites Wavelet score-based generative modeling.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Wavelet score-based generative modeling

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Observation 7db6fb30-d744-4865-91ed-4f993e82a5d1 · outbound

This paper cites WaveDM: Wavelet-Based Diffusion Models for Image Restoration.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review WaveDM: Wavelet-Based Diffusion Models for Image Restoration

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Observation 15c09c0e-5460-4a4b-b6d8-a2b93d84b337 · outbound

This paper cites Cifar-10 (canadian institute for advanced research).URL http://www.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Cifar-10 (canadian institute for advanced research).URL http://www

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source=pdf_text observed=2026-08-15T22:56:46.577133Z digest=sha256:40908a3d3512afff6943ccd48f8b39bb5b868e992ae546acab1970c0dafa7092

Observation 6fa0b0a3-cf30-4317-973b-53186617bc34 · outbound

This paper cites Deep learning face attributes in the wild.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Deep learning face attributes in the wild

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Observation 2460eab8-4aed-4198-982d-d235f9c1fa02 · outbound

This paper cites LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

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Observation 70e967c6-ef50-41f1-8477-885223612e3f · outbound

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

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review A style-based generator architecture for generative adversarial networks

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Observation 998569a0-0496-41e2-a00a-998576433562 · outbound

This paper cites Cola-diff: Conditional latent diffusion model for multi- modal mri synthesis.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Cola-diff: Conditional latent diffusion model for multi- modal mri synthesis

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Observation d081f0dd-5bbd-47c2-9fc9-2106accdca20 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Photorealistic text-to-image diffusion models with deep language understanding

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source=pdf_text observed=2026-08-15T22:56:46.599086Z digest=sha256:f3e0b3c4e605d493e6445c13734cee97b3ab8c9815d4cc70fe0e3c4efd9538ab

Observation 66fceafc-9af6-4940-b29e-40f52005b3fa · outbound

This paper cites Wavefill: A wavelet-based generation network for image inpainting.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Wavefill: A wavelet-based generation network for image inpainting

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source=pdf_text observed=2026-08-15T22:56:46.602701Z digest=sha256:7236a57ebf5a67fcc9cc30421eb3335ea7a4722217920f8471943d58ef6e25e8

Observation 906d0582-7440-4343-a797-d1d56978b9f1 · outbound

This paper cites DFormer: Diffusion-guided Transformer for Universal Image Segmentation.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review DFormer: Diffusion-guided Transformer for Universal Image Segmentation

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source=pdf_text observed=2026-08-15T22:56:46.606723Z digest=sha256:0f00aa0a86a124c590b01dd5d7bcaebbecbaeefd08bb35ce34452f21f500d2f5

Observation c6ccfd39-8fc4-46fe-ae9f-ffa19d446a18 · outbound

This paper cites Latentpaint: Image inpainting in latent space with diffusion models.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Latentpaint: Image inpainting in latent space with diffusion models

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source=pdf_text observed=2026-08-15T22:56:46.610964Z digest=sha256:8e9180cfb579ae3ecf04371b9fa166d7a4412df317fab5d3f9439b4cedc3f7bc

Observation b6975906-9d45-463f-87e5-f181bd6816b5 · outbound

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

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Sadm: Sequence-aware diffusion model for longitudinal medical image generation

Reference 82

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source=pdf_text observed=2026-08-15T22:56:46.619725Z digest=sha256:f7fe38d4a23cc51eb4de732c2a63a2d3ed0a04a63cd1ab444170ed054ad8f553

Observation 74158d8f-d56e-4feb-8a3e-66ed63a17faf · outbound

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

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation

Reference 83

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source=pdf_text observed=2026-08-15T22:56:46.624552Z digest=sha256:d334421e2e2ca6507d6d531f25644281772dfca5446c722b96042737dc855dae

Observation d51d6907-3928-41d7-9149-f30ce7c45cc7 · outbound

This paper cites Wavelet-inspired multi-channel score-based model for limited-angle ct reconstruction.IEEE Transactions on Medical Imaging, 2024.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Wavelet-inspired multi-channel score-based model for limited-angle ct reconstruction.IEEE Transactions on Medical Imaging, 2024

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source=pdf_text observed=2026-08-15T22:56:46.629755Z digest=sha256:c45a0bd763e6c4ffd1cc76ec16cbe18499f038a0965bd3b401ba0cc031022d69

Observation fc515540-a73b-4201-b838-847677713a34 · outbound

This paper cites Unified Multi-Modal Latent Diffusion for Joint Subject and Text Conditional Image Generation.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Unified Multi-Modal Latent Diffusion for Joint Subject and Text Conditional Image Generation

Reference 85

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source=pdf_text observed=2026-08-15T22:56:46.633995Z digest=sha256:0b85e354a5e69d6eb52d8da18c7718498371e3a3dabafe250bce6030d2cf58a7

Observation e66773aa-319a-42d7-9ad5-407c0d394de0 · outbound

This paper cites Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models

Reference 86

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verified exact
local_arxiv, observed 2026-08-15T22:56:47.944908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:56:46.639012Z digest=sha256:cd268b5b45e8e143995e9fdfd3d3c42316ac0428c1e93a34459cf06672d5ecb0

Observation 49e47e26-e68f-42ae-af41-9652eb19e53a · outbound

This paper cites Fsdiffreg: Feature-wise and score-wise diffusion-guided unsupervised deformable image registration for cardiac images.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Fsdiffreg: Feature-wise and score-wise diffusion-guided unsupervised deformable image registration for cardiac images

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source=pdf_text observed=2026-08-15T22:56:46.643944Z digest=sha256:48f19e53b289128e7ed95e7971e896a56c8c61392fe8931b3a019b2fafcdb74c

Observation 176a7857-6317-44e8-b1b7-9a1bd8843d10 · outbound

This paper cites Diffusemorph: unsupervised deformable image registration using diffusion model.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Diffusemorph: unsupervised deformable image registration using diffusion model

Reference 88

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source=pdf_text observed=2026-08-15T22:56:46.649809Z digest=sha256:921a1c7247b5e946699eb32d1267b2e8a6f6324703ee83e7826bc9a606f7f4d8

Observation eb24b845-4dea-490f-b096-6068dc9785d7 · outbound

This paper cites Diffusing coupling high-frequency-purifying structure feature extraction for brain multimodal registration.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Diffusing coupling high-frequency-purifying structure feature extraction for brain multimodal registration

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source=pdf_text observed=2026-08-15T22:56:46.656001Z digest=sha256:dfc53ec6b83b3ee6d3c648d7968dd9c2dbc2afb6c4042a4845d07f2ac43b75d7

Observation 2866007a-2065-495b-97d1-ade13bab8c7a · outbound

This paper cites DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets

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source=pdf_text observed=2026-08-15T22:56:46.660572Z digest=sha256:263688a817a5a16bbe484a369782161c3114902f4317482ae7f5fba0ca188c29

Observation 44d99879-f78e-4064-8092-4a4ad376b26e · outbound

This paper cites Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles

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source=pdf_text observed=2026-08-15T22:56:46.666306Z digest=sha256:5c17c8e3113e71e9d0c057091b7c926af80472c52192c654b4566eac12429ee0

Observation 1df57528-0a21-47f9-8bfd-a68cf29bce16 · outbound

This paper cites Mr image denoising and super-resolution using regularized reverse diffusion.IEEE Transactions on Medical Imaging, 42(4):922–934, 2022.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Mr image denoising and super-resolution using regularized reverse diffusion.IEEE Transactions on Medical Imaging, 42(4):922–934, 2022

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source=pdf_text observed=2026-08-15T22:56:46.670174Z digest=sha256:69fe2c8b665e603c5234c37d88df9792c54738b31b4f18de8bbc20dcc5516446

Observation 8610184c-b60b-4cd1-ac30-51604a78c38b · outbound

This paper cites PFCM: Poisson flow consistency models for low-dose CT image denoising.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review PFCM: Poisson flow consistency models for low-dose CT image denoising

Reference 93

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verified exact
local_arxiv, observed 2026-08-15T22:56:47.890061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:56:46.674402Z digest=sha256:6c4ac03a8d4dafe848db85c7e880316a1338c8ef60fbc53bc762a19e0ba06c91

Observation 8344094c-fc6a-4804-ba03-c212e5bafe4d · outbound

This paper cites Advanced covid-19 ct image segmentation using a hybrid undecimated wavelet transform, fuzzy clustering, and anisotropic diffusion approach.Traitement du Signal, 40(3), 2023.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Advanced covid-19 ct image segmentation using a hybrid undecimated wavelet transform, fuzzy clustering, and anisotropic diffusion approach.Traitement du Signal, 40(3), 2023

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source=pdf_text observed=2026-08-15T22:56:46.678829Z digest=sha256:3e2b808babfd66cb4ef3d44c02a90f8d31c8a8480aecab91e4b5922487db95fe

Observation 6095bf80-ff31-4353-9cc7-35e67a667b89 · outbound

This paper cites Llcaps: Learning to illuminate low-light capsule endoscopy with curved wavelet attention and reverse diffusion.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Llcaps: Learning to illuminate low-light capsule endoscopy with curved wavelet attention and reverse diffusion

Reference 95

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source=pdf_text observed=2026-08-15T22:56:46.683028Z digest=sha256:7c2cdf04396f59cedc4b83e3a1e6cf8d0ebe229dc6fcd24568566a56bf9db317

Observation 218b140f-9c12-45f7-ab81-5937ff862582 · outbound

This paper cites HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation

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source=pdf_text observed=2026-08-15T22:56:46.687666Z digest=sha256:845ec9ba7a9880521ab7e5ddff76b3a7bf6d5a1c1f3d20de64a8d750a0455bf3

Observation a64c92ce-5a09-445a-9137-6a3940b66736 · outbound

This paper cites Gh-ddm: the generalized hybrid denoising diffusion model for medical image generation.Multimedia Systems, pages 1–11, 2023.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Gh-ddm: the generalized hybrid denoising diffusion model for medical image generation.Multimedia Systems, pages 1–11, 2023

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source=pdf_text observed=2026-08-15T22:56:46.693036Z digest=sha256:c4eb4d04869483b677de4d8bbd3411155bfec8260c029a74c631db0e80433eab

Observation e9c431e9-ddcc-4c19-afac-e98eb182b7a1 · outbound

This paper cites Cheng, Yu-Jie Chen, Wei-Chen Chiu, Hung-Yu Tseng, and Hsin-Ying Lee.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Cheng, Yu-Jie Chen, Wei-Chen Chiu, Hung-Yu Tseng, and Hsin-Ying Lee

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source=pdf_text observed=2026-08-15T22:56:46.697365Z digest=sha256:070e398ab299661b81ca1473e93f826ece5ad572592fc3bca4d63679bbc0630e

Observation 68490d8b-f8c3-42f3-aa3e-27b40b816980 · outbound

This paper cites Multidiffusion: Fusing diffusion paths for controlled image generation.International Conference on Machine Learning, Honolulu, 2023.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Multidiffusion: Fusing diffusion paths for controlled image generation.International Conference on Machine Learning, Honolulu, 2023

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source=pdf_text observed=2026-08-15T22:56:46.701336Z digest=sha256:327a29bf44eaa911fa87f4877d969dc4031641c0bffbc51366ae27d5c8417cb9

Observation 3462b72a-b500-4fd9-975d-0e00efa1a01b · outbound

This paper cites Multi-level wavelet convolutional neural networks.IEEE Access, 7:74973–74985, 2019.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Multi-level wavelet convolutional neural networks.IEEE Access, 7:74973–74985, 2019

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source=pdf_text observed=2026-08-15T22:56:46.705210Z digest=sha256:9debdd5795cc7460a18237e8e2828f7b57e8d5980cfaeed032410778320e5c7b

Observation 3f4c2da8-875e-4d84-b7d2-306f5a356c39 · outbound

This paper cites Diffusion self-guidance for controllable image generation.Advances in Neural Information Processing Systems, 36, 2024.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Diffusion self-guidance for controllable image generation.Advances in Neural Information Processing Systems, 36, 2024

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source=pdf_text observed=2026-08-15T22:56:46.709111Z digest=sha256:0074fab75c0934c3fc354726323a64d3359beb610136239cc63156c73ee4586f

Observation bb22d2f2-2a20-4bf4-a7de-8293617b3dba · outbound

This paper cites Plug-and-play diffusion features for text-driven image- to-image translation.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Plug-and-play diffusion features for text-driven image- to-image translation

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source=pdf_text observed=2026-08-15T22:56:46.713125Z digest=sha256:77f91b5ac30cabd0052154c7135cffdba1d50b9e82b051b9e0a9933b1edd53bc

Observation 48d00bd5-705d-4827-9811-2785c2e3af23 · outbound

This paper cites Dual Diffusion Implicit Bridges for Image-to-Image Translation.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Dual Diffusion Implicit Bridges for Image-to-Image Translation

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source=pdf_text observed=2026-08-15T22:56:46.717569Z digest=sha256:705c8711b601696d4479ac8367d7aa76e79b7c7623740919587d87e43643d917

Pith citing papers

No inbound Pith citation observations are available.