PathoSyn: Imaging-Pathology MRI Synthesis via Disentangled Deviation Diffusion
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Jian, Rong, Sixing, Xing, Jiarui, Xu, Yuling, Liu, Weide |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PathoGen: Diffusion-Based Synthesis of Realistic Lesions in Histopathology Images
by: Koohi-Moghadam, Mohamad, et al.
Published: (2026)
by: Koohi-Moghadam, Mohamad, et al.
Published: (2026)
Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner
by: Zhang, Wenchuan, et al.
Published: (2025)
by: Zhang, Wenchuan, et al.
Published: (2025)
PathoDuet: Foundation Models for Pathological Slide Analysis of H&E and IHC Stains
by: Hua, Shengyi, et al.
Published: (2023)
by: Hua, Shengyi, et al.
Published: (2023)
Causal Disentanglement-Inspired Degradation Representation Learning for Full-Reference Image Quality Assessment
by: Zhang, Zhen, et al.
Published: (2026)
by: Zhang, Zhen, et al.
Published: (2026)
Unsupervised Anomaly Detection in Brain MRI via Disentangled Anatomy Learning
by: Yang, Tao, et al.
Published: (2025)
by: Yang, Tao, et al.
Published: (2025)
Translating MRI to PET through Conditional Diffusion Models with Enhanced Pathology Awareness
by: Li, Yitong, et al.
Published: (2026)
by: Li, Yitong, et al.
Published: (2026)
Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning
by: Li, Chuanpu, et al.
Published: (2024)
by: Li, Chuanpu, et al.
Published: (2024)
DIST-CLIP: Arbitrary Metadata and Image Guided MRI Harmonization via Disentangled Anatomy-Contrast Representations
by: Avci, Mehmet Yigit, et al.
Published: (2025)
by: Avci, Mehmet Yigit, et al.
Published: (2025)
Understanding Sources of Demographic Predictability in Brain MRI via Disentangling Anatomy and Contrast
by: Avci, Mehmet Yigit, et al.
Published: (2026)
by: Avci, Mehmet Yigit, et al.
Published: (2026)
BlackMirror: Black-Box Backdoor Detection for Text-to-Image Models via Instruction-Response Deviation
by: Li, Feiran, et al.
Published: (2026)
by: Li, Feiran, et al.
Published: (2026)
Structure-Level Disentangled Diffusion for Few-Shot Chinese Font Generation
by: Li, Jie, et al.
Published: (2026)
by: Li, Jie, et al.
Published: (2026)
Disentangled Anatomy-Disease Diffusion (DADD) for Controllable Ulcerative Colitis Progression Synthesis
by: Dundar, Umut, et al.
Published: (2026)
by: Dundar, Umut, et al.
Published: (2026)
Pattern-Aware Diffusion Synthesis of fMRI/dMRI with Tissue and Microstructural Refinement
by: Shen, Xiongri, et al.
Published: (2025)
by: Shen, Xiongri, et al.
Published: (2025)
Moving Beyond Diffusion: Hierarchy-to-Hierarchy Autoregression for fMRI-to-Image Reconstruction
by: Zhang, Xu, et al.
Published: (2025)
by: Zhang, Xu, et al.
Published: (2025)
Conditional Image Synthesis with Diffusion Models: A Survey
by: Zhan, Zheyuan, et al.
Published: (2024)
by: Zhan, Zheyuan, et al.
Published: (2024)
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations
by: Qin, Can, et al.
Published: (2024)
by: Qin, Can, et al.
Published: (2024)
Generating Progressive Images from Pathological Transitions via Diffusion Model
by: Liu, Zeyu, et al.
Published: (2023)
by: Liu, Zeyu, et al.
Published: (2023)
DisentTalk: Cross-lingual Talking Face Generation via Semantic Disentangled Diffusion Model
by: Liu, Kangwei, et al.
Published: (2025)
by: Liu, Kangwei, et al.
Published: (2025)
Captioning Daily Activity Images in Early Childhood Education: Benchmark and Algorithm
by: Li, Sixing, et al.
Published: (2026)
by: Li, Sixing, et al.
Published: (2026)
StarVid: Enhancing Semantic Alignment in Video Diffusion Models via Spatial and SynTactic Guided Attention Refocusing
by: Li, Yuanhang, et al.
Published: (2024)
by: Li, Yuanhang, et al.
Published: (2024)
A Semantically Enhanced Generative Foundation Model Improves Pathological Image Synthesis
by: Guan, Xianchao, et al.
Published: (2025)
by: Guan, Xianchao, et al.
Published: (2025)
DICE: Disentangling Artist Style from Content via Contrastive Subspace Decomposition in Diffusion Models
by: Zhang, Tong, et al.
Published: (2026)
by: Zhang, Tong, et al.
Published: (2026)
Unsupervised Synthetic Image Attribution: Alignment and Disentanglement
by: Liu, Zongfang, et al.
Published: (2026)
by: Liu, Zongfang, et al.
Published: (2026)
Distilling Cross-Modal Knowledge via Feature Disentanglement
by: Liu, Junhong, et al.
Published: (2025)
by: Liu, Junhong, et al.
Published: (2025)
Disentangling Prompt Dependence to Evaluate Segmentation Reliability in Gynecological MRI
by: Germani, Elodie, et al.
Published: (2026)
by: Germani, Elodie, et al.
Published: (2026)
Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting
by: Chen, Wenting, et al.
Published: (2024)
by: Chen, Wenting, et al.
Published: (2024)
Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image Synthesis
by: Chen, Muxi, et al.
Published: (2024)
by: Chen, Muxi, et al.
Published: (2024)
BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models
by: Shi, Fengyuan, et al.
Published: (2023)
by: Shi, Fengyuan, et al.
Published: (2023)
Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoning
by: Xu, Zhe, et al.
Published: (2025)
by: Xu, Zhe, et al.
Published: (2025)
Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image Synthesis
by: Aubreville, Marc, et al.
Published: (2024)
by: Aubreville, Marc, et al.
Published: (2024)
OrthoDiffusion: A Generalizable Multi-Task Diffusion Foundation Model for Musculoskeletal MRI Interpretation
by: Lan, Tian, et al.
Published: (2026)
by: Lan, Tian, et al.
Published: (2026)
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models
by: Jun, Youngjun, et al.
Published: (2024)
by: Jun, Youngjun, et al.
Published: (2024)
Paired Image Generation with Diffusion-Guided Diffusion Models
by: Zhang, Haoxuan, et al.
Published: (2025)
by: Zhang, Haoxuan, et al.
Published: (2025)
USAD: End-to-End Human Activity Recognition via Diffusion Model with Spatiotemporal Attention
by: Xiao, Hang, et al.
Published: (2025)
by: Xiao, Hang, et al.
Published: (2025)
DiffuSyn Bench: Evaluating Vision-Language Models on Real-World Complexities with Diffusion-Generated Synthetic Benchmarks
by: Zhou, Haokun, et al.
Published: (2024)
by: Zhou, Haokun, et al.
Published: (2024)
DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models
by: Xing, Ximing, et al.
Published: (2023)
by: Xing, Ximing, et al.
Published: (2023)
SynDroneVision: A Synthetic Dataset for Image-Based Drone Detection
by: Lenhard, Tamara R., et al.
Published: (2024)
by: Lenhard, Tamara R., et al.
Published: (2024)
CytoSyn: a Foundation Diffusion Model for Histopathology -- Tech Report
by: Duboudin, Thomas, et al.
Published: (2026)
by: Duboudin, Thomas, et al.
Published: (2026)
Which Layer Causes Distribution Deviation? Entropy-Guided Adaptive Pruning for Diffusion and Flow Models
by: Li, Changlin, et al.
Published: (2025)
by: Li, Changlin, et al.
Published: (2025)
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
by: Yang, Tao, et al.
Published: (2024)
by: Yang, Tao, et al.
Published: (2024)
Similar Items
-
PathoGen: Diffusion-Based Synthesis of Realistic Lesions in Histopathology Images
by: Koohi-Moghadam, Mohamad, et al.
Published: (2026) -
Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner
by: Zhang, Wenchuan, et al.
Published: (2025) -
PathoDuet: Foundation Models for Pathological Slide Analysis of H&E and IHC Stains
by: Hua, Shengyi, et al.
Published: (2023) -
Causal Disentanglement-Inspired Degradation Representation Learning for Full-Reference Image Quality Assessment
by: Zhang, Zhen, et al.
Published: (2026) -
Unsupervised Anomaly Detection in Brain MRI via Disentangled Anatomy Learning
by: Yang, Tao, et al.
Published: (2025)