MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications
Fuente:
arXiv
Saved in:
| Main Authors: | Yu, Yongrui, Gu, Yannian, Zhang, Shaoting, Zhang, Xiaofan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis
by: Xie, Jianhao, et al.
Published: (2025)
by: Xie, Jianhao, et al.
Published: (2025)
CT-Flow: Orchestrating CT Interpretation Workflow with Model Context Protocol Servers
by: Gu, Yannian, et al.
Published: (2026)
by: Gu, Yannian, et al.
Published: (2026)
Interactive Segmentation and Report Generation for CT Images
by: Gu, Yannian, et al.
Published: (2025)
by: Gu, Yannian, et al.
Published: (2025)
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
by: Jin, Ruinan, et al.
Published: (2024)
by: Jin, Ruinan, et al.
Published: (2024)
MedLSAM: Localize and Segment Anything Model for 3D CT Images
by: Lei, Wenhui, et al.
Published: (2023)
by: Lei, Wenhui, et al.
Published: (2023)
MedCAL-Bench: A Comprehensive Benchmark on Cold-Start Active Learning with Foundation Models for Medical Image Analysis
by: Zhu, Ning, et al.
Published: (2025)
by: Zhu, Ning, et al.
Published: (2025)
MedFM-Robust: Benchmarking Robustness of Medical Foundation Models
by: Cui, Xiangxiang, et al.
Published: (2026)
by: Cui, Xiangxiang, et al.
Published: (2026)
MedVersa: A Generalist Foundation Model for Medical Image Interpretation
by: Zhou, Hong-Yu, et al.
Published: (2024)
by: Zhou, Hong-Yu, et al.
Published: (2024)
PathoTune: Adapting Visual Foundation Model to Pathological Specialists
by: Lu, Jiaxuan, et al.
Published: (2024)
by: Lu, Jiaxuan, et al.
Published: (2024)
MedExpMem: Adapting Experience Memory for Differential Diagnosis
by: Feng, Qianhan, et al.
Published: (2026)
by: Feng, Qianhan, et al.
Published: (2026)
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
by: Gu, Geonmo, et al.
Published: (2023)
by: Gu, Geonmo, et al.
Published: (2023)
SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images
by: Wang, Haoyu, et al.
Published: (2023)
by: Wang, Haoyu, et al.
Published: (2023)
A Synthetic Data-Driven Radiology Foundation Model for Pan-tumor Clinical Diagnosis
by: Lei, Wenhui, et al.
Published: (2025)
by: Lei, Wenhui, et al.
Published: (2025)
MedSeqFT: Sequential Fine-tuning Foundation Models for 3D Medical Image Segmentation
by: Ye, Yiwen, et al.
Published: (2025)
by: Ye, Yiwen, et al.
Published: (2025)
Towards Generalist Intelligence in Dentistry: Vision Foundation Models for Oral and Maxillofacial Radiology
by: Huang, Xinrui, et al.
Published: (2025)
by: Huang, Xinrui, et al.
Published: (2025)
DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model
by: Zhang, Han, et al.
Published: (2025)
by: Zhang, Han, et al.
Published: (2025)
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model
by: Zhang, Zheyuan, et al.
Published: (2023)
by: Zhang, Zheyuan, et al.
Published: (2023)
MedForge: Building Medical Foundation Models Like Open Source Software Development
by: Tan, Zheling, et al.
Published: (2025)
by: Tan, Zheling, et al.
Published: (2025)
TemMed-Bench: Evaluating Temporal Medical Image Reasoning in Vision-Language Models
by: Zhang, Junyi, et al.
Published: (2025)
by: Zhang, Junyi, et al.
Published: (2025)
DeReStainer: H&E to IHC Pathological Image Translation via Decoupled Staining Channels
by: Wei, Linda, et al.
Published: (2024)
by: Wei, Linda, et al.
Published: (2024)
FoundDiff: Foundational Diffusion Model for Generalizable Low-Dose CT Denoising
by: Chen, Zhihao, et al.
Published: (2025)
by: Chen, Zhihao, et al.
Published: (2025)
Unifying Multiple Foundation Models for Advanced Computational Pathology
by: Lei, Wenhui, et al.
Published: (2025)
by: Lei, Wenhui, et al.
Published: (2025)
HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation
by: Chen, Tao, et al.
Published: (2024)
by: Chen, Tao, et al.
Published: (2024)
GuideGen: A Text-Guided Framework for Paired Full-torso Anatomy and CT Volume Generation
by: Dai, Linrui, et al.
Published: (2024)
by: Dai, Linrui, et al.
Published: (2024)
Versatile Transition Generation with Image-to-Video Diffusion
by: Yang, Zuhao, et al.
Published: (2025)
by: Yang, Zuhao, et al.
Published: (2025)
CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation
by: Huang, Zhongzhen, et al.
Published: (2024)
by: Huang, Zhongzhen, et al.
Published: (2024)
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
by: Jiang, Yankai, et al.
Published: (2023)
by: Jiang, Yankai, et al.
Published: (2023)
Diff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restoration
by: Zhang, Yuhong, et al.
Published: (2024)
by: Zhang, Yuhong, et al.
Published: (2024)
DiffBlender: Composable and Versatile Multimodal Text-to-Image Diffusion Models
by: Kim, Sungnyun, et al.
Published: (2023)
by: Kim, Sungnyun, et al.
Published: (2023)
MedDIFT: Multi-Scale Diffusion-Based Correspondence in 3D Medical Imaging
by: Zhang, Xingyu, et al.
Published: (2025)
by: Zhang, Xingyu, et al.
Published: (2025)
MedIQA: A Scalable Foundation Model for Prompt-Driven Medical Image Quality Assessment
by: Xun, Siyi, et al.
Published: (2025)
by: Xun, Siyi, et al.
Published: (2025)
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
by: Xu, Xingqian, et al.
Published: (2022)
by: Xu, Xingqian, et al.
Published: (2022)
Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers
by: Zhang, Zhengbo, et al.
Published: (2024)
by: Zhang, Zhengbo, et al.
Published: (2024)
FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models
by: Wu, Wei, et al.
Published: (2024)
by: Wu, Wei, et al.
Published: (2024)
AMF-MedIT: An Efficient Align-Modulation-Fusion Framework for Medical Image-Tabular Data
by: Yu, Congjing, et al.
Published: (2025)
by: Yu, Congjing, et al.
Published: (2025)
FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation
by: Wu, Jianghao, et al.
Published: (2024)
by: Wu, Jianghao, et al.
Published: (2024)
Modality-Aware and Shift Mixer for Multi-modal Brain Tumor Segmentation
by: Huang, Zhongzhen, et al.
Published: (2024)
by: Huang, Zhongzhen, et al.
Published: (2024)
Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment
by: Jiang, Yankai, et al.
Published: (2024)
by: Jiang, Yankai, et al.
Published: (2024)
ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution
by: Shang, Shuyao, et al.
Published: (2023)
by: Shang, Shuyao, et al.
Published: (2023)
RobustMedSAM: Degradation-Resilient Medical Image Segmentation via Robust Foundation Model Adaptation
by: Li, Jieru, et al.
Published: (2026)
by: Li, Jieru, et al.
Published: (2026)
Similar Items
-
MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis
by: Xie, Jianhao, et al.
Published: (2025) -
CT-Flow: Orchestrating CT Interpretation Workflow with Model Context Protocol Servers
by: Gu, Yannian, et al.
Published: (2026) -
Interactive Segmentation and Report Generation for CT Images
by: Gu, Yannian, et al.
Published: (2025) -
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
by: Jin, Ruinan, et al.
Published: (2024) -
MedLSAM: Localize and Segment Anything Model for 3D CT Images
by: Lei, Wenhui, et al.
Published: (2023)