Saved in:
| Main Authors: | Zhou, Junjie, Wang, Shouju, Tang, Yuxia, Zhu, Qi, Zhang, Daoqiang, Shao, Wei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.09491 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution
by: Lu, Shao-Hao, et al.
Published: (2025)
by: Lu, Shao-Hao, et al.
Published: (2025)
PASTA: Pathology-Aware MRI to PET Cross-Modal Translation with Diffusion Models
by: Li, Yitong, et al.
Published: (2024)
by: Li, Yitong, et al.
Published: (2024)
Robust Divergence Learning for Missing-Modality Segmentation
by: Cheng, Runze, et al.
Published: (2024)
by: Cheng, Runze, et al.
Published: (2024)
Geodesic Diffusion Models for Efficient Medical Image Enhancement
by: Zhang, Teng, et al.
Published: (2025)
by: Zhang, Teng, et al.
Published: (2025)
When Diffusion MRI Meets Diffusion Model: A Novel Deep Generative Model for Diffusion MRI Generation
by: Zhu, Xi, et al.
Published: (2024)
by: Zhu, Xi, et al.
Published: (2024)
st-DTPM: Spatial-Temporal Guided Diffusion Transformer Probabilistic Model for Delayed Scan PET Image Prediction
by: Hong, Ran, et al.
Published: (2024)
by: Hong, Ran, et al.
Published: (2024)
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation
by: Jiang, Hongxu, et al.
Published: (2024)
by: Jiang, Hongxu, et al.
Published: (2024)
Stable Diffusion is a Natural Cross-Modal Decoder for Layered AI-generated Image Compression
by: Chen, Ruijie, et al.
Published: (2024)
by: Chen, Ruijie, et al.
Published: (2024)
MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections
by: Hui, Mude, et al.
Published: (2024)
by: Hui, Mude, et al.
Published: (2024)
PIV-FlowDiffuser:Transfer-learning-based denoising diffusion models for PIV
by: Zhu, Qianyu, et al.
Published: (2025)
by: Zhu, Qianyu, et al.
Published: (2025)
Unveiling Incomplete Modality Brain Tumor Segmentation: Leveraging Masked Predicted Auto-Encoder and Divergence Learning
by: Sun, Zhongao, et al.
Published: (2024)
by: Sun, Zhongao, et al.
Published: (2024)
Unsupervised Tumor-Aware Distillation for Multi-Modal Brain Image Translation
by: Huang, Chuan, et al.
Published: (2024)
by: Huang, Chuan, et al.
Published: (2024)
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation
by: Zhou, Yinchi, et al.
Published: (2024)
by: Zhou, Yinchi, et al.
Published: (2024)
StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining
by: Kataria, Tushar, et al.
Published: (2024)
by: Kataria, Tushar, et al.
Published: (2024)
Leveraging Diffusion Knowledge for Generative Image Compression with Fractal Frequency-Aware Band Learning
by: Zhu, Lingyu, et al.
Published: (2025)
by: Zhu, Lingyu, et al.
Published: (2025)
DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy
by: Zhang, Yiwen, et al.
Published: (2023)
by: Zhang, Yiwen, et al.
Published: (2023)
Timestep-Aware Diffusion Model for Extreme Image Rescaling
by: Wang, Ce, et al.
Published: (2024)
by: Wang, Ce, et al.
Published: (2024)
Self-Learning Hyperspectral and Multispectral Image Fusion via Adaptive Residual Guided Subspace Diffusion Model
by: Zhu, Jian, et al.
Published: (2025)
by: Zhu, Jian, et al.
Published: (2025)
RDEIC: Accelerating Diffusion-Based Extreme Image Compression with Relay Residual Diffusion
by: Li, Zhiyuan, et al.
Published: (2024)
by: Li, Zhiyuan, et al.
Published: (2024)
Treatment-aware Diffusion Probabilistic Model for Longitudinal MRI Generation and Diffuse Glioma Growth Prediction
by: Liu, Qinghui, et al.
Published: (2023)
by: Liu, Qinghui, et al.
Published: (2023)
MoVideo: Motion-Aware Video Generation with Diffusion Models
by: Liang, Jingyun, et al.
Published: (2023)
by: Liang, Jingyun, et al.
Published: (2023)
Prior-guided Diffusion Model for Cell Segmentation in Quantitative Phase Imaging
by: Shao, Zhuchen, et al.
Published: (2024)
by: Shao, Zhuchen, et al.
Published: (2024)
CrossModalityDiffusion: Multi-Modal Novel View Synthesis with Unified Intermediate Representation
by: Berian, Alex, et al.
Published: (2025)
by: Berian, Alex, et al.
Published: (2025)
Semi-Supervised Diffusion Model for Brain Age Prediction
by: Ijishakin, Ayodeji, et al.
Published: (2024)
by: Ijishakin, Ayodeji, et al.
Published: (2024)
Joint Diffusion: Mutual Consistency-Driven Diffusion Model for PET-MRI Co-Reconstruction
by: Xie, Taofeng, et al.
Published: (2023)
by: Xie, Taofeng, et al.
Published: (2023)
Survival Prediction in Lung Cancer through Multi-Modal Representation Learning
by: Farooq, Aiman, et al.
Published: (2024)
by: Farooq, Aiman, et al.
Published: (2024)
Improved Video VAE for Latent Video Diffusion Model
by: Wu, Pingyu, et al.
Published: (2024)
by: Wu, Pingyu, et al.
Published: (2024)
DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays
by: Xie, Xing, et al.
Published: (2025)
by: Xie, Xing, et al.
Published: (2025)
Realistic Noise Synthesis with Diffusion Models
by: Wu, Qi, et al.
Published: (2023)
by: Wu, Qi, et al.
Published: (2023)
Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models
by: Xiao, Jun, et al.
Published: (2024)
by: Xiao, Jun, et al.
Published: (2024)
Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model
by: Xu, Yushen, et al.
Published: (2024)
by: Xu, Yushen, et al.
Published: (2024)
Urban Air Temperature Prediction using Conditional Diffusion Models
by: Dai, Siyang, et al.
Published: (2024)
by: Dai, Siyang, et al.
Published: (2024)
Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis
by: Zhang, Shichuan, et al.
Published: (2024)
by: Zhang, Shichuan, et al.
Published: (2024)
StructDiff: Structure-aware Diffusion Model for 3D Fine-grained Medical Image Synthesis
by: Xia, Jiahao, et al.
Published: (2025)
by: Xia, Jiahao, et al.
Published: (2025)
FDDM: Unsupervised Medical Image Translation with a Frequency-Decoupled Diffusion Model
by: Li, Yunxiang, et al.
Published: (2023)
by: Li, Yunxiang, et al.
Published: (2023)
MultiViT2: A Data-augmented Multimodal Neuroimaging Prediction Framework via Latent Diffusion Model
by: Yuda, Bi, et al.
Published: (2025)
by: Yuda, Bi, et al.
Published: (2025)
Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion Model
by: Guan, Yu, et al.
Published: (2024)
by: Guan, Yu, et al.
Published: (2024)
MorphSAM: Learning the Morphological Prompts from Atlases for Spine Image Segmentation
by: Fan, Dingwei, et al.
Published: (2025)
by: Fan, Dingwei, et al.
Published: (2025)
Towards Robust Time-of-Flight Depth Denoising with Confidence-Aware Diffusion Model
by: He, Changyong, et al.
Published: (2025)
by: He, Changyong, et al.
Published: (2025)
SLaM-DiMM: Shared Latent Modeling for Diffusion Based Missing Modality Synthesis in MRI
by: Sandbhor, Bhavesh, et al.
Published: (2025)
by: Sandbhor, Bhavesh, et al.
Published: (2025)
Similar Items
-
Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution
by: Lu, Shao-Hao, et al.
Published: (2025) -
PASTA: Pathology-Aware MRI to PET Cross-Modal Translation with Diffusion Models
by: Li, Yitong, et al.
Published: (2024) -
Robust Divergence Learning for Missing-Modality Segmentation
by: Cheng, Runze, et al.
Published: (2024) -
Geodesic Diffusion Models for Efficient Medical Image Enhancement
by: Zhang, Teng, et al.
Published: (2025) -
When Diffusion MRI Meets Diffusion Model: A Novel Deep Generative Model for Diffusion MRI Generation
by: Zhu, Xi, et al.
Published: (2024)