{"total":27,"rows":[{"id":"2209.04747","title":"Diffusion Models in Vision: A Survey","created":"2022-09-10","cited_by_count":1015,"area":"diffusion"},{"id":"2211.07804","title":"Diffusion Models for Medical Image Analysis: A Comprehensive Survey","created":"2022-11-14","cited_by_count":273,"area":"diffusion"},{"id":"2209.02646","title":"A Survey on Generative Diffusion Model","created":"2022-09-06","cited_by_count":240,"area":"diffusion"},{"id":"2301.04802","title":"Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images","created":"2023-01-12","cited_by_count":45,"area":"diffusion"},{"id":"2303.03758","title":"Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI","created":"2023-03-07","cited_by_count":45,"area":"diffusion"},{"id":"2305.19867","title":"Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model","created":"2023-05-31","cited_by_count":25,"area":"diffusion"},{"id":"2301.08330","title":"The role of noise in denoising models for anomaly detection in medical images","created":"2023-01-19","cited_by_count":23,"area":"diffusion"},{"id":"2306.01322","title":"Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models","created":"2023-06-02","cited_by_count":18,"area":"diffusion"},{"id":"2312.04215","title":"Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs","created":"2023-12-07","cited_by_count":18,"area":"diffusion"},{"id":"2506.07883","title":"Diffusion Counterfactual Generation with Semantic Abduction","created":"2025-06-09","cited_by_count":10,"area":"diffusion"},{"id":"2311.11383","title":"A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI","created":"2023-11-19","cited_by_count":9,"area":"diffusion"},{"id":"2502.03687","title":"Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free","created":"2025-02-06","cited_by_count":9,"area":"diffusion"},{"id":"2404.10356","title":"Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery","created":"2024-04-16","cited_by_count":8,"area":"diffusion"},{"id":"2407.15270","title":"MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI","created":"2024-07-21","cited_by_count":8,"area":"diffusion"},{"id":"2403.11667","title":"Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection","created":"2024-03-18","cited_by_count":7,"area":"diffusion"},{"id":"2404.12920","title":"Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models","created":"2024-04-19","cited_by_count":7,"area":"diffusion"},{"id":"2506.14404","title":"Causally Steered Diffusion for Automated Video Counterfactual Generation","created":"2025-06-17","cited_by_count":6,"area":"diffusion"},{"id":"2305.00067","title":"Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features","created":"2023-04-28","cited_by_count":4,"area":"diffusion"},{"id":"2407.12678","title":"Promptable Counterfactual Diffusion Model for Unified Brain Tumor Segmentation and Generation with MRIs","created":"2024-07-17","cited_by_count":4,"area":"diffusion"},{"id":"2311.11629","title":"Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models","created":"2023-11-20","cited_by_count":3,"area":"diffusion"},{"id":"2410.23834","title":"Denoising Diffusion Models for Anomaly Localization in Medical Images","created":"2024-10-31","cited_by_count":3,"area":"diffusion"},{"id":"2401.01414","title":"VALD-MD: Visual Attribution via Latent Diffusion for Medical Diagnostics","created":"2024-01-02","cited_by_count":2,"area":"diffusion"},{"id":"2404.15683","title":"AnoFPDM: Anomaly Segmentation with Forward Process of Diffusion Models for Brain MRI","created":"2024-04-24","cited_by_count":2,"area":"diffusion"},{"id":"2405.04974","title":"Discrepancy-based Diffusion Models for Lesion Detection in Brain MRI","created":"2024-05-08","cited_by_count":1,"area":"diffusion"},{"id":"2405.00239","title":"IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer Study","created":"2024-04-30","cited_by_count":0,"area":"diffusion"},{"id":"2603.07066","title":"PolypSteer: Counterfactual Endoscopic Synthesis via Training-Free Activation Steering","created":"2026-03-07","cited_by_count":0,"area":"diffusion"},{"id":"2604.08313","title":"Weakly-Supervised Lung Nodule Segmentation via Training-Free Guidance of 3D Rectified Flow","created":"2026-04-09","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}