Key papers

• Closed-loop coupling of personalised and foundation models for real-time treatment guidance with MRI (2026)
  James Grover et al.
  4.33
• CBCT-IQ: A Publicly Available Annotated Cone-Beam CT Dataset for Image Quality Assessment and Benchmarking (2026)
  Sepideh Hatamikia et al.
  1.94
• Dual-Domain Equivariant Generative Adversarial Network for Multimodal CT-PET Synthesis (2026)
  Gabriel Steele et al.
  1.89
• EPC-3D-Diff: Equivariant Physics Consistent Conditional 3D Latent Diffusion for CBCT to CT Synthesis (2026)
  Alzahra Altalib et al.
  1.83
• Progressively Texture-Aware Diffusion for Contrast-Enhanced Sparse-View CT (2026)
  Tianqi Wang et al.
  1.78
• Accelerating Stroke MRI with Diffusion Probabilistic Models through Large-Scale Pre-training and Target-Specific Fine-Tuning (2026)
  Yamin Arefeen and Sidharth Kumar and Steven Warach and Hamidreza Saber and Jonathan Tamir
  1.72
• q3-MuPa: Quick, Quiet, Quantitative Multi-Parametric MRI using Physics-Informed Diffusion Models (2025)
  Shishuai Wang et al.
  1.56
• Steerable Conditional Diffusion for Domain Adaptation in PET Image Reconstruction (2025)
  George Webber et al.
  1.44
• Projection Embedded Diffusion Bridge for CT Reconstruction from Incomplete Data (2025)
  Yuang Wang et al.
  1.44
• Clinical Metadata Guided Limited-Angle CT Image Reconstruction (2025)
  Yu Shi et al.
  1.39
• EqDiff-CT: Equivariant Conditional Diffusion model for CT Image Synthesis from CBCT (2025)
  Alzahra Altalib et al.
  1.39
• PnP-CM: Consistency Models as Plug-and-Play Priors for Inverse Problems (2025)
  Merve G\"ulle et al.
  1.39
• PET Image Reconstruction Using Deep Diffusion Image Prior (2025)
  Fumio Hashimoto and Kuang Gong
  1.28
• Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction (2025)
  George Webber et al.
  1.22
• Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction (2025)
  Perla Mayo et al.
  1.22
• FD-DiT: Frequency Domain-Directed Diffusion Transformer for Low-Dose CT Reconstruction (2025)
  Qiqing Liu et al.
  1.22
• Supervised Diffusion-Model-Based PET Image Reconstruction (2025)
  George Webber et al.
  1.22
• ComBAT Harmonization for diffusion MRI: Challenges and Best Practices (2025)
  Pierre-Marc Jodoin et al.
  1.17
• Diffusion Probabilistic Generative Models for Accelerated, in-NICU Permanent Magnet Neonatal MRI (2025)
  Yamin Arefeen and Brett Levac and Bhairav Patel and Chang Ho and Jonathan I. Tamir
  1.17
• MRI Image Generation Based on Text Prompts (2025)
  Xinxian Fan and Mengye Lyu
  1.17
• MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting (2025)
  Mojtaba Safari et al.
  1.06
• ReMiDi: Reconstruction of Microstructure Using a Differentiable Diffusion MRI Simulator (2025)
  Prathamesh Pradeep Khole et al.
  1.00
• When are Diffusion Priors Helpful in Sparse Reconstruction? A Study with Sparse-view CT (2025)
  Matt Y. Cheung et al.
  1.00
• A Generative Diffusion Model to Solve Inverse Problems for Robust in-NICU Neonatal MRI (2024)
  Yamin Arefeen and Brett Levac and Jonathan I. Tamir
  0.89
• Head and Neck Tumor Segmentation from [18F]F-FDG PET/CT Images Based on 3D Diffusion Model (2024)
  Yafei Dong and Kuang Gong
  —
• MD-Dose: A diffusion model based on the Mamba for radiation dose prediction (2024)
  Linjie Fu and Xia Li and Xiuding Cai and Yingkai Wang and Xueyao Wang and Yali Shen and Yu Yao
  —
• QSMDiff: Unsupervised 3D Diffusion Models for Quantitative Susceptibility Mapping (2024)
  Zhuang Xiong et al.
  —
• Score-Based Diffusion Models for Photoacoustic Tomography Image Reconstruction (2024)
  Sreemanti Dey et al.
  —
• Prior Frequency Guided Diffusion Model for Limited Angle (LA)-CBCT Reconstruction (2024)
  Jiacheng Xie et al.
  —
• Diffusion Model-based FOD Restoration from High Distortion in dMRI (2024)
  Shuo Huang et al.
  —
• Physics-Inspired Generative Models in Medical Imaging: A Review (2024)
  Dennis Hein et al.
  —
• Iterative CT Reconstruction via Latent Variable Optimization of Shallow Diffusion Models (2024)
  Sho Ozaki et al.
  —
• Pixel super-resolved virtual staining of label-free tissue using diffusion models (2024)
  Yijie Zhang et al.
  —
• Generative-Model-Based Fully 3D PET Image Reconstruction by Conditional Diffusion Sampling (2024)
  George Webber et al.
  —