mlsanityData to 14 Oct 2026

Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline

arXiv 2303.06410 ↗First posted 11 Mar 2023cs.AI cs.LG eess.IVcited by 21

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Abstract (arXiv)

Brain network analysis is essential for diagnosing and intervention for Alzheimer's disease (AD). However, previous research relied primarily on specific time-consuming and subjective toolkits. Only few tools can obtain the structural brain networks from brain diffusion tensor images (DTI). In this paper, we propose a diffusion based end-to-end brain network generative model Brain Diffuser that directly shapes the structural brain networks from DTI. Compared to existing toolkits, Brain Diffuser exploits more structural connectivity features and disease-related information by analyzing disparities in structural brain networks across subjects. For the case of Alzheimer's disease, the proposed model performs better than the results from existing toolkits on the Alzheimer's Disease Neuroimaging Initiative (ADNI) database.

Key facts. Cited by 21 papers in the map (data through 14 Oct 2026). Builds on 18 of its 26 references that are in the map. First posted on arXiv 11 Mar 2023.

Builds on

18 of 26 references.

References · 18

  1. 2017Attention Is All You Needcited by 60,361
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  4. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,361
  5. 2017Graph Attention Networkscited by 8,923
  6. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,058
  7. 2017Inductive Representation Learning on Large Graphscited by 6,320
  8. 2018How Powerful are Graph Neural Networks?cited by 4,393
  9. 2021Perceiver: General Perception with Iterative Attentioncited by 1,104
  10. 2021Score-based diffusion models for accelerated MRIcited by 311
  11. 2022Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equationscited by 283
  12. 2022Diffusion Models for Medical Anomaly Detectioncited by 232
6 more
  1. 2018Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Diseasecited by 99
  2. 2022Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Modelscited by 97
  3. 2017Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networkscited by 40
  4. 2021DecGAN: Decoupling Generative Adversarial Network detecting abnormal neural circuits for Alzheimer's diseasecited by 11
  5. 2022Adversarial Learning Based Structural Brain-network Generative Model for Analyzing Mild Cognitive Impairmentcited by 8
  6. 2022Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer's Diseasecited by 3

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Citing papers per year: 2023: 5; 2024: 10; 2025: 4; 2026: 2.

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  1. 20242DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classificationcited by 35
  2. 2024DOPRA: Decoding Over-accumulation Penalization and Re-allocation in Specific Weighting Layercited by 27
  3. 2023Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)cited by 21
  4. 2024SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentationcited by 14
  5. 2024Test-Time Intensity Consistency Adaptation for Shadow Detectioncited by 11
  6. 2023Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentationcited by 10
  7. 2023DocDeshadower: Frequency-Aware Transformer for Document Shadow Removalcited by 9
  8. 2023UWFormer: Underwater Image Enhancement via a Semi-Supervised Multi-Scale Transformercited by 9
  9. 2024Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Modelcited by 6
  10. 2025LensNet: An End-to-End Learning Framework for Empirical Point Spread Function Modeling and Lensless Imaging Reconstructioncited by 6
  11. 2023ShaDocFormer: A Shadow-Attentive Threshold Detector With Cascaded Fusion Refiner for Document Shadow Removalcited by 2
  12. 2024Diffusion-based Graph Generative Methodscited by 2
9 more
  1. 2024UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image Enhancementcited by 2
  2. 2025DLEN: Dual Branch of Transformer for Low-Light Image Enhancement in Dual Domainscited by 2
  3. 2025ConnectomeDiffuser: Generative AI Enables Brain Network Construction from Diffusion Tensor Imagingcited by 1
  4. 2026FPED: A Functional-Network Prior-Guided Mixture-of-Experts Framework for Interpretable Brain Decodingcited by 1
  5. 2024Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentationcited by 0
  6. 2024Adaptive Query Prompting for Multi-Domain Landmark Detectioncited by 0
  7. 2024TAGE: Trustworthy Attribute Group Editing for Stable Few-shot Image Generationcited by 0
  8. 2025Forestpest-YOLO: A High-Performance Detection Framework for Small Forestry Pestscited by 0
  9. 2026Visualizing the Invisible: Generative Visual Grounding Empowers Universal EEG Understanding in MLLMscited by 0