{"total":33,"rows":[{"id":"2405.03328","title":"Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge","created":"2024-05-06","cited_by_count":35,"area":"diffusion"},{"id":"2502.08560","title":"Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent Diffusion","created":"2025-02-12","cited_by_count":17,"area":"diffusion"},{"id":"2403.14066","title":"LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models","created":"2024-03-21","cited_by_count":15,"area":"diffusion"},{"id":"2505.02048","title":"Regression is all you need for medical image translation","created":"2025-05-04","cited_by_count":8,"area":"diffusion"},{"id":"2506.10233","title":"Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization","created":"2025-06-11","cited_by_count":6,"area":"diffusion"},{"id":"2408.09315","title":"Unpaired Volumetric Harmonization of Brain MRI with Conditional Latent Diffusion","created":"2024-08-18","cited_by_count":5,"area":"diffusion"},{"id":"2504.04532","title":"BrainMRDiff: A Diffusion Model for Anatomically Consistent Brain MRI Synthesis","created":"2025-04-06","cited_by_count":4,"area":"diffusion"},{"id":"2410.21826","title":"Volumetric Conditioning Module to Control Pretrained Diffusion Models for 3D Medical Images","created":"2024-10-29","cited_by_count":3,"area":"diffusion"},{"id":"2509.03141","title":"Temporally-Aware Diffusion Model for Brain Progression Modelling with Bidirectional Temporal Regularisation","created":"2025-09-03","cited_by_count":3,"area":"diffusion"},{"id":"2510.26834","title":"Diffusion-Driven Generation of Minimally Preprocessed Brain MRI","created":"2025-10-29","cited_by_count":2,"area":"diffusion"},{"id":"2601.14584","title":"Anatomically Guided Latent Diffusion for Brain MRI Progression Modeling","created":"2026-01-21","cited_by_count":2,"area":"diffusion"},{"id":"2409.19371","title":"Efficient Semantic Diffusion Architectures for Model Training on Synthetic Echocardiograms","created":"2024-09-28","cited_by_count":1,"area":"diffusion"},{"id":"2411.01351","title":"Guided Synthesis of Labeled Brain MRI Data Using Latent Diffusion Models for Segmentation of Enlarged Ventricles","created":"2024-11-02","cited_by_count":1,"area":"diffusion"},{"id":"2501.19338","title":"Pathological MRI Segmentation by Synthetic Pathological Data Generation in Fetuses and Neonates","created":"2025-01-31","cited_by_count":1,"area":"diffusion"},{"id":"2509.03267","title":"SynBT: High-quality Tumor Synthesis for Breast Tumor Segmentation by 3D Diffusion Model","created":"2025-09-03","cited_by_count":1,"area":"diffusion"},{"id":"2509.08015","title":"CardioComposer: Leveraging Differentiable Geometry for Compositional Control of Anatomical Diffusion Models","created":"2025-09-08","cited_by_count":1,"area":"diffusion"},{"id":"2601.19498","title":"Cortex-Grounded Diffusion Models for Brain Image Generation","created":"2026-01-27","cited_by_count":1,"area":"diffusion"},{"id":"2602.08249","title":"A Unified Framework for Multimodal Image Reconstruction and Synthesis using Denoising Diffusion Models","created":"2026-02-09","cited_by_count":1,"area":"diffusion"},{"id":"2603.08385","title":"Rectified flow-based prediction of post-treatment brain MRI from pre-radiotherapy priors for patients with glioma","created":"2026-03-09","cited_by_count":1,"area":"diffusion"},{"id":"2603.11325","title":"ReDiff: Reliability-Guided Diffusion for Trustworthy Ultra-Low-Field to High-Field MRI Synthesis","created":"2026-03-11","cited_by_count":1,"area":"diffusion"},{"id":"2604.22700","title":"4DLoG: Generative Modeling of Neurodegenerative Brain Anatomy with 4D Longitudinal Diffusion Model","created":"2026-04-24","cited_by_count":1,"area":"diffusion"},{"id":"2503.03778","title":"Generating Novel Brain Morphology by Deforming Learned Templates","created":"2025-03-04","cited_by_count":0,"area":"diffusion"},{"id":"2508.07006","title":"Spatio-Temporal Conditional Diffusion Models for Forecasting Future Multiple Sclerosis Lesion Masks Conditioned on Treatments","created":"2025-08-09","cited_by_count":0,"area":"diffusion"},{"id":"2510.13684","title":"Generating healthy counterfactuals with denoising diffusion bridge models","created":"2025-10-15","cited_by_count":0,"area":"diffusion"},{"id":"2510.15119","title":"Deep generative priors for 3D brain analysis","created":"2025-10-16","cited_by_count":0,"area":"diffusion"},{"id":"2511.20587","title":"Anatomica: Localized Control over Geometric and Topological Properties for Anatomical Diffusion Models","created":"2025-11-25","cited_by_count":0,"area":"diffusion"},{"id":"2604.11176","title":"Precision Synthesis of Multi-Tracer PET via VLM-Modulated Rectified Flow for Stratifying Mild Cognitive Impairment","created":"2026-04-13","cited_by_count":0,"area":"diffusion"},{"id":"2604.15611","title":"CLIMB: Controllable Longitudinal Brain Image Generation using Mamba-based Latent Diffusion Model and Gaussian-aligned Autoencoder","created":"2026-04-17","cited_by_count":0,"area":"diffusion"},{"id":"2606.05113","title":"3D-GlioPREDICT: 3D Latent Diffusion for Post-Radiotherapy Brain MRI Prediction in Patients with Glioma","created":"2026-06-03","cited_by_count":0,"area":"diffusion"},{"id":"2606.18354","title":"Structural MRI Synthesis for Alzheimer's Disease via Conditional Diffusion on Anatomical Masks","created":"2026-06-16","cited_by_count":0,"area":"diffusion"},{"id":"2607.16649","title":"DRIFT: Difficulty-aware Rectified Flows for Through-plane MRI Super-Resolution","created":"2026-07-18","cited_by_count":0,"area":"diffusion"},{"id":"2607.27537","title":"ProgFormer: Hierarchical Voxel Diffusion Transformer for Longitudinal Brain MRI Prediction","created":"2026-07-30","cited_by_count":0,"area":"diffusion"},{"id":"2608.23014","title":"AnaDiffusion: Anatomically CompositionalLatent Diffusion for Controllable 3D Brain MRI Generation","created":"2026-08-24","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}