This repository contains resources and a curated list of papers from our survey on diffusion models in computational neuroimaging.
Diffusion Models for Computational Neuroimaging: A Survey
Authors:
Haokai Zhao, Haowei Lou, Lina Yao, Wei Peng, Ehsan Adeli, Kilian M. Pohl, Yu Zhang
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| Year | Conference | Title | Authors | Links |
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| 2022 | MICCAI | Brain imaging generation with latent diffusion models | Pinaya et al. | 📄 Paper |
| 2023 | MICCAI | Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model | Peng et al. | 📄 Paper |
| 2023 | NeurIPS | Synthetic Sleep EEG Signal Generation using Latent Diffusion Models | Aristimunha et al. | 📄 Paper |
| 2024 | ICLR | Diffusion-TS: Interpretable Diffusion for General Time Series Generation | Yuan & Qiao | 📄 Paper |
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| Year | Conference | Title | Authors | Links |
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| 2022 | ICLR | Solving Inverse Problems in Medical Imaging with Score-Based Generative Models | Song et al. | 📄 Paper |
| 2023 | NMR in Biomedicine | WKGM: weighted k-space generative model for parallel imaging reconstruction | Tu et al. | 📄 Paper |
| 2023 | MICCAI | Contrastive diffusion model with auxiliary guidance for coarse-to-fine PET reconstruction | Han et al. | 📄 Paper |
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| Year | Conference | Title | Authors | Links |
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| 2023 | MICCAI | Inversesr: 3d brain mri super-resolution using a latent diffusion model | Wang et al. | 📄 Paper |
| 2023 | MICCAI | Disc-diff: Disentangled conditional diffusion model for multi-contrast mri super-resolution | Mao et al. | 📄 Paper |
| 2024 | CVPR | Rethinking diffusion model for multi-contrast mri super-resolution | Li et al. | 📄 Paper |
| 2024 | arXiv | Spatio-Temporal Adaptive Diffusion Models for EEG Super-Resolution in Epilepsy Diagnosis | Zhou & Wang | 📄 Paper |
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| Year | Conference | Title | Authors | Links |
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| 2024 | WACV | Adaptive latent diffusion model for 3d medical image to image translation: Multi-modal magnetic resonance imaging study | Kim and Park | 📄 Paper |
| 2023 | MICCAI | Cola-diff: Conditional latent diffusion model for multi-modal mri synthesis | Jiang et al. | 📄 Paper |
| 2024 | JBHI | Target-Guided Diffusion Models for Unpaired Cross-modality Medical Image Translation | Luo et al. | 📄 Paper |
| 2024 | TMI | Multi-modal Modality-masked Diffusion Network for Brain MRI Synthesis with Random Modality Missing | Meng et al. | 📄 Paper |
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| Year | Conference | Title | Authors | Links |
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| 2023 | ISPCE-ASIA | Generative ai enables eeg data augmentation for alzheimer’s disease detection via diffusion model | Zong et al. | 📄 Paper |
| 2025 | JNE | Diffusion transformer-augmented fMRI functional connectivity for enhanced autism spectrum disorder diagnosis | Zhao et al. | 📄 Paper |
| 2024 | ISBI | BrainNetDiff: Generative AI Empowers Brain Network Construction Via Multimodal Diffusion | Zong et al. | 📄 Paper |
| 2024 | TPAMI | A New Brain Network Construction Paradigm for Brain Disorder Via Diffusion-Based Graph Contrastive Learning | Zong et al. | 📄 Paper |
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| Year | Conference | Title | Authors | Links |
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| 2024 | MIDL | Medsegdiff: Medical image segmentation with diffusion probabilistic model | Wu et al. | 📄 Paper |
| 2024 | JBHI | CorrDiff: Corrective Diffusion Model for Accurate MRI Brain Tumor Segmentation | Li et al. | 📄 Paper |
| 2022 | MICCAI | Fast unsupervised brain anomaly detection and segmentation with diffusion models | Pinaya et al. | 📄 Paper |
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| Year | Conference | Title | Authors | Links |
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| 2023 | CVPR | High-resolution image reconstruction with latent diffusion models from human brain activity | Takagi & Nishimoto | 📄 Paper |
| 2023 | CVPR | Seeing beyond the brain: Conditional diffusion model with sparse masked modeling for vision decoding | Chen et al. | 📄 Paper |
| 2024 | NeurIPS | Brain diffusion for visual exploration: Cortical discovery using large scale generative models | Luo et al. | 📄 Paper |
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| Year | Conference | Title | Authors | Links |
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| 2024 | arXiv | Reverse the auditory processing pathway: Coarse-to-fine audio reconstruction from fMRI | Liu et al. | 📄 Paper |
- OpenNeuro: Public neuroimaging datasets (link).
- ADNI: Alzheimer's Disease Neuroimaging Initiative (link).
- UK Biobank: Large-scale biomedical database (link).
- BraTS: Brain Tumor Segmentation Challenge (link).
- ABIDE: Autism Brain Imaging Data Exchange (ASD and control neuroimaging data) (link).
- ABCD: Adolescent Brain Cognitive Development Study (longitudinal pediatric neuroimaging) (link).