Cover Image

Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fontanella, Alessandro, Mair, Grant, Wardlaw, Joanna, Trucco, Emanuele, Storkey, Amos
Format:	Preprint
Published:	2023
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Pre-processing and quality control of large clinical CT head datasets for intracranial arterial calcification segmentation
by: Jin, Benjamin, et al.
Published: (2024)

MAEDiff: Masked Autoencoder-enhanced Diffusion Models for Unsupervised Anomaly Detection in Brain Images
by: Xu, Rui, et al.
Published: (2024)

MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI
by: Alaya, Malek Ben, et al.
Published: (2024)

When Deep Learning Fails: Limitations of Recurrent Models on Stroke-Based Handwriting for Alzheimer's Disease Detection
by: Nardone, Emanuele, et al.
Published: (2025)

Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models
by: Olsen, Markus Ditlev Sjøgren, et al.
Published: (2024)

MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection
by: Beizaee, Farzad, et al.
Published: (2025)

Evaluation of 3D Counterfactual Brain MRI Generation
by: Sun, Pengwei, et al.
Published: (2025)

Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective
by: Pan, Zixuan, et al.
Published: (2024)

Tau Anomaly Detection in PET Imaging via Bilateral-Guided Deterministic Diffusion Model
by: Zhong, Lujia, et al.
Published: (2024)

Denoising Diffusion Models for Anomaly Localization in Medical Images
by: Bercea, Cosmin I., et al.
Published: (2024)

Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs
by: Behrendt, Finn, et al.
Published: (2023)

MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI
by: Trivedi, Vivek Kumar, et al.
Published: (2024)

Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis
by: Wang, Jiamu, et al.
Published: (2025)

Synomaly Noise and Multi-Stage Diffusion: A Novel Approach for Unsupervised Anomaly Detection in Medical Images
by: Bi, Yuan, et al.
Published: (2024)

Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation
by: Su, Xingzhe, et al.
Published: (2023)

DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection
by: Marimont, Sergio Naval, et al.
Published: (2023)

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection
by: Fabelo, H., et al.
Published: (2024)

Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
by: Zhang, Zerui, et al.
Published: (2024)

RELD: Regularization by Latent Diffusion Models for Image Restoration
by: Cascarano, Pasquale, et al.
Published: (2025)

Fast Inference in Denoising Diffusion Models via MMD Finetuning
by: Aiello, Emanuele, et al.
Published: (2023)

BrainMRDiff: A Diffusion Model for Anatomically Consistent Brain MRI Synthesis
by: Bhattacharya, Moinak, et al.
Published: (2025)

Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection
by: Wolleb, Julia, et al.
Published: (2024)

DMCIE: Diffusion Model with Concatenation of Inputs and Errors to Improve the Accuracy of the Segmentation of Brain Tumors in MRI Images
by: Yavari, Sara, et al.
Published: (2025)

Hyperspectral Image Generation with Unmixing Guided Diffusion Model
by: Shen, Shiyu, et al.
Published: (2025)

Semi-Supervised Diffusion Model for Brain Age Prediction
by: Ijishakin, Ayodeji, et al.
Published: (2024)

Denoising Diffusion Models for Inpainting of Healthy Brain Tissue
by: Durrer, Alicia, et al.
Published: (2024)

Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research
by: Ghamizi, Salah, et al.
Published: (2025)

Functional Imaging Constrained Diffusion for Brain PET Synthesis from Structural MRI
by: Yu, Minhui, et al.
Published: (2024)

Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection
by: Behrendt, Finn, et al.
Published: (2024)

SimuScope: Realistic Endoscopic Synthetic Dataset Generation through Surgical Simulation and Diffusion Models
by: Martyniak, Sabina, et al.
Published: (2024)

REFLECT: Rectified Flows for Efficient Brain Anomaly Correction Transport
by: Beizaee, Farzad, et al.
Published: (2025)

Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images
by: Xiang, Tiange, et al.
Published: (2024)

RealDeal: Enhancing Realism and Details in Brain Image Generation via Image-to-Image Diffusion Models
by: Zhu, Shen, et al.
Published: (2025)

Diffusion Models with Implicit Guidance for Medical Anomaly Detection
by: Bercea, Cosmin I., et al.
Published: (2024)

Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection
by: Sourabh, Suman, et al.
Published: (2024)

Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation
by: Jiang, Hongxu, et al.
Published: (2024)

LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion
by: Zhu, Zihao, et al.
Published: (2024)

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading
by: Wang, Zhe, et al.
Published: (2025)

Diffusion as Sound Propagation: Physics-inspired Model for Ultrasound Image Generation
by: Domínguez, Marina, et al.
Published: (2024)

FetalDiffusion: Pose-Controllable 3D Fetal MRI Synthesis with Conditional Diffusion Model
by: Zhang, Molin, et al.
Published: (2024)