Paper Citation Record · LEDGER

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients

As of 16 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2506.11297.

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pith.paper-citation-record.v1
2506.11297 v2

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Outbound references

Observation 3764c3f0-c622-4480-a9f9-c0a4c338b2c1 · outbound

This paper cites Chapter 51 - Neuroimaging of epilepsy.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Chapter 51 - Neuroimaging of epilepsy

Reference 1

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Observation 5cfdf386-1d58-4efc-b673-62c9076e2cf5 · outbound

This paper cites The Role of SPECT and PET in Epilepsy.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients The Role of SPECT and PET in Epilepsy

Reference 2

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Observation 446bbe42-f84e-4861-a334-f94ea803aade · outbound

This paper cites Diagnostic accuracy for the epilepto- genic zone detection in focal epilepsy could be higher in FDG-PET/MRI than in FDG-PET/CT.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Diagnostic accuracy for the epilepto- genic zone detection in focal epilepsy could be higher in FDG-PET/MRI than in FDG-PET/CT

Reference 3

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This paper cites Addressing Global Inequities in Positron Emission Tomography-Computed Tomography (PET-CT) for Cancer Management: A Statistical Model to Guide Strategic Planning.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Addressing Global Inequities in Positron Emission Tomography-Computed Tomography (PET-CT) for Cancer Management: A Statistical Model to Guide Strategic Planning

Reference 4

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Observation 8a5122f2-b1db-42c6-91bf-c486d375715a · outbound

This paper cites Whole-Body PET/CT Scanning: Estimation of Radiation Dose and Cancer Risk.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Whole-Body PET/CT Scanning: Estimation of Radiation Dose and Cancer Risk

Reference 5

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Observation 899b6e5f-8adf-435a-8d6a-8289d5cacd20 · outbound

This paper cites Deep auto-context convolutional neural networks for standard-dose PET image estimation from low- dose PET/MRI.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Deep auto-context convolutional neural networks for standard-dose PET image estimation from low- dose PET/MRI

Reference 6

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This paper cites MedGAN: Medical image translation using GANs.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients MedGAN: Medical image translation using GANs

Reference 7

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This paper cites Swin transformer-based GAN for multi-modal medical image translation.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Swin transformer-based GAN for multi-modal medical image translation

Reference 8

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Observation 8327bc9c-fdb5-447a-9f62-6761882bff89 · outbound

This paper cites Predicting FDG-PET Images From Multi-Contrast MRI Using Deep Learning in Patients With Brain Neoplasms.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Predicting FDG-PET Images From Multi-Contrast MRI Using Deep Learning in Patients With Brain Neoplasms

Reference 9

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Observation a8969d4a-bff5-456d-b3ca-7ff1b44346cf · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 10

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Observation 0be718c8-ba12-4b7b-b0d6-dd374873ff9f · outbound

This paper cites Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation

Reference 11

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Observation 9998b510-4c6a-4d62-98e8-67b4bff8916d · outbound

This paper cites Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models

Reference 12

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Observation 75c657c1-e571-45cc-9d7a-261dbfda3a76 · outbound

This paper cites Score- Based Generative Models for PET Image Reconstruction.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Score- Based Generative Models for PET Image Reconstruction

Reference 13

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Observation 704861c9-0c03-4af9-9ad9-06317ca7cf73 · outbound

This paper cites PET image denoising based on denoising diffusion probabilistic model.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients PET image denoising based on denoising diffusion probabilistic model

Reference 14

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Observation 01123f8c-24e9-4583-b352-5f99dd3a5efb · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Score-Based Generative Modeling through Stochastic Differential Equations

Reference 15

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Observation dd7209f9-1e5c-4e84-a065-4e3dd3a64365 · outbound

This paper cites Elucidating the Design Space of Diffusion-Based Generative Models.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Elucidating the Design Space of Diffusion-Based Generative Models

Reference 16

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Observation 3e008130-e51b-4d21-b419-4f9016965b0a · outbound

This paper cites Ultra–Low-Dose 18F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Ultra–Low-Dose 18F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs

Reference 17

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This paper cites A sulcal depth-based anatomical parcel- lation of the cerebral cortex.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients A sulcal depth-based anatomical parcel- lation of the cerebral cortex

Reference 18

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Observation 641537c7-2242-4120-ab30-63d6898cb628 · outbound

This paper cites Altered hemispheric symmetry found in left-sided mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE/HS) but not found in right-sided MTLE/HS.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Altered hemispheric symmetry found in left-sided mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE/HS) but not found in right-sided MTLE/HS

Reference 19

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Observation 72343b21-9e34-40f3-9111-452f1e58657f · outbound

This paper cites Useful- ness of extent analysis for statistical parametric mapping with asymmetry index using inter-ictal FDG-PET in mesial temporal lobe epilepsy.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Useful- ness of extent analysis for statistical parametric mapping with asymmetry index using inter-ictal FDG-PET in mesial temporal lobe epilepsy

Reference 20

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Observation 80250836-603e-408d-b9dc-b81edab3b9d3 · outbound

This paper cites Voxel-Based Analysis of Asymmetry Index Maps Increases the Specificity of 18F-MPPF PET Abnormalities for Localizing the Epileptogenic Zone in Temporal Lobe Epilepsies.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Voxel-Based Analysis of Asymmetry Index Maps Increases the Specificity of 18F-MPPF PET Abnormalities for Localizing the Epileptogenic Zone in Temporal Lobe Epilepsies

Reference 21

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Observation d7c9cd31-4a72-457b-a95e-a1a1203a5ee1 · outbound

This paper cites Enhancing the Diagnostic Utility of ASL Imaging in Tempo- ral Lobe Epilepsy through FlowGAN: An ASL to PET Image Translation Framework.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Enhancing the Diagnostic Utility of ASL Imaging in Tempo- ral Lobe Epilepsy through FlowGAN: An ASL to PET Image Translation Framework

Reference 22

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This paper cites A guideline of selecting and reporting intraclass correlation coefficients for reliability research.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients A guideline of selecting and reporting intraclass correlation coefficients for reliability research

Reference 23

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This paper cites Deep learning based imaging data completion for improved brain disease diagnosis.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Deep learning based imaging data completion for improved brain disease diagnosis

Reference 24

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This paper cites A zero-dose synthetic baseline for the personalized analysis of [ 18F]FDG- PET: Application in Alzheimer’s disease.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients A zero-dose synthetic baseline for the personalized analysis of [ 18F]FDG- PET: Application in Alzheimer’s disease

Reference 25

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Observation d05a04d5-2215-4913-9bf7-40e1fc1daa69 · outbound

This paper cites MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net for Multi-Modal Alzheimer’s Classification.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net for Multi-Modal Alzheimer’s Classification

Reference 26

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Observation cd5fd3df-71ed-4811-8308-6753be56e893 · outbound

This paper cites Synthesizing Missing PET from MRI with Cycle-Consistent Generative Adversarial Networks for Alzheimer’s Disease Diagnosis.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Synthesizing Missing PET from MRI with Cycle-Consistent Generative Adversarial Networks for Alzheimer’s Disease Diagnosis

Reference 27

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Observation 55faf1f2-68d2-4538-9eef-032054318f8e · outbound

This paper cites Deep learning only by normal brain PET identify unheralded brain anomalies.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Deep learning only by normal brain PET identify unheralded brain anomalies

Reference 28

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This paper cites Ultra-low dose PET reconstruction using generative adversarial network with feature mapping and task-specific perceptual loss.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Ultra-low dose PET reconstruction using generative adversarial network with feature mapping and task-specific perceptual loss

Reference 29

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This paper cites MPGAN: Multi Pareto Gener- ative Adversarial Network for the denoising and quantitative analysis of low-dose PET images of human brain.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients MPGAN: Multi Pareto Gener- ative Adversarial Network for the denoising and quantitative analysis of low-dose PET images of human brain

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This paper cites Realization of high-end PET devices that assist conventional PET devices in improving image quality via diffusion modeling.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Realization of high-end PET devices that assist conventional PET devices in improving image quality via diffusion modeling

Reference 31

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This paper cites Pseudo-normal PET Synthesis with Generative Adversarial Networks for Local- ising Hypometabolism in Epilepsies.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Pseudo-normal PET Synthesis with Generative Adversarial Networks for Local- ising Hypometabolism in Epilepsies

Reference 32

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Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Consistency Models

Reference 33

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This paper cites DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

Reference 34

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This paper cites True ultra-low-dose amyloid PET/MRI enhanced with deep learning for clinical interpretation.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients True ultra-low-dose amyloid PET/MRI enhanced with deep learning for clinical interpretation

Reference 35

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This paper cites Slice-Consistent 3D Volumetric Brain CT-to- MRI Translation with 2D Brownian Bridge Diffusion Model.

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Slice-Consistent 3D Volumetric Brain CT-to- MRI Translation with 2D Brownian Bridge Diffusion Model

Reference 36

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Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients Unresolved cited work

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