Imagen de Portada

Graph Conditioned Diffusion for Controllable Histopathology Image Generation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cechnicka, Sarah, Baugh, Matthew, Zhang, Weitong, Dombrowski, Mischa, Li, Zhe, Paetzold, Johannes C., Roufosse, Candice, Kainz, Bernhard
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation
por: Reynaud, Hadrien, et al.
Publicado: (2024)

Image Generation Diversity Issues and How to Tame Them
por: Dombrowski, Mischa, et al.
Publicado: (2024)

URCDM: Ultra-Resolution Image Synthesis in Histopathology
por: Cechnicka, Sarah, et al.
Publicado: (2024)

Video Dataset Condensation with Diffusion Models
por: Li, Zhe, et al.
Publicado: (2025)

Data-Efficient Generation for Dataset Distillation
por: Li, Zhe, et al.
Publicado: (2024)

Enabling PSO-Secure Synthetic Data Sharing Using Diversity-Aware Diffusion Models
por: Dombrowski, Mischa, et al.
Publicado: (2025)

Generate to Ground: Multimodal Text Conditioning Boosts Phrase Grounding in Medical Vision-Language Models
por: Nützel, Felix, et al.
Publicado: (2025)

The Learnability Gap in Medical Latent Diffusion
por: Dombrowski, Mischa, et al.
Publicado: (2026)

LCMem: A Universal Model for Robust Image Memorization Detection
por: Dombrowski, Mischa, et al.
Publicado: (2025)

Uncovering Hidden Subspaces in Video Diffusion Models Using Re-Identification
por: Dombrowski, Mischa, et al.
Publicado: (2024)

Flow Matching with Optimized Subclass Priors for Medical Image Augmentation
por: Nützel, Felix, et al.
Publicado: (2026)

GRASP: Guided Residual Adapters with Sample-wise Partitioning
por: Nützel, Felix, et al.
Publicado: (2025)

Image Distillation for Safe Data Sharing in Histopathology
por: Li, Zhe, et al.
Publicado: (2024)

Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis
por: Reynaud, Hadrien, et al.
Publicado: (2023)

Dataset Distillation with Probabilistic Latent Features
por: Li, Zhe, et al.
Publicado: (2025)

Wasserstein-Aligned Localisation for VLM-Based Distributional OOD Detection in Medical Imaging
por: Kainz, Bernhard, et al.
Publicado: (2026)

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis
por: Li, Liu, et al.
Publicado: (2024)

ShapePuri: Shape Guided and Appearance Generalized Adversarial Purification
por: Li, Zhe, et al.
Publicado: (2026)

EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing
por: Reynaud, Hadrien, et al.
Publicado: (2024)

Label-free Motion-Conditioned Diffusion Model for Cardiac Ultrasound Synthesis
por: Li, Zhe, et al.
Publicado: (2025)

Topology Optimization in Medical Image Segmentation with Fast Euler Characteristic
por: Li, Liu, et al.
Publicado: (2025)

Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
por: Marimont, Sergio Naval, et al.
Publicado: (2024)

DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection
por: Marimont, Sergio Naval, et al.
Publicado: (2023)

Noise Crystallization and Liquid Noise: Zero-shot Video Generation using Image Diffusion Models
por: Khan, Muhammad Haaris, et al.
Publicado: (2024)

InfoMotion: A Graph-Based Approach to Video Dataset Distillation for Echocardiography
por: Li, Zhe, et al.
Publicado: (2025)

Leveraging Multi-Modal Information to Enhance Dataset Distillation
por: Li, Zhe, et al.
Publicado: (2025)

Geometry-Aware Uncertainty Coresets for Robust Visual In-Context Learning in Histopathology
por: Erick, Franciskus Xaverius, et al.
Publicado: (2026)

3D Vessel Graph Generation Using Denoising Diffusion
por: Prabhakar, Chinmay, et al.
Publicado: (2024)

Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering
por: Hagen, Luca, et al.
Publicado: (2026)

SpinMeRound: Consistent Multi-View Identity Generation Using Diffusion Models
por: Galanakis, Stathis, et al.
Publicado: (2025)

Resource-efficient Medical Image Analysis with Self-adapting Forward-Forward Networks
por: Müller, Johanna P., et al.
Publicado: (2024)

EchoFlow: A Foundation Model for Cardiac Ultrasound Image and Video Generation
por: Reynaud, Hadrien, et al.
Publicado: (2025)

Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases
por: Starck, Sophie, et al.
Publicado: (2024)

Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation
por: Öttl, Mathias, et al.
Publicado: (2024)

Towards Effective MLLM Jailbreaking Through Balanced On-Topicness and OOD-Intensity
por: Li, Zuoou, et al.
Publicado: (2025)

Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
por: Dombrowski, Mischa, et al.
Publicado: (2024)

Co-synthesis of Histopathology Nuclei Image-Label Pairs using a Context-Conditioned Joint Diffusion Model
por: Min, Seonghui, et al.
Publicado: (2024)

Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation
por: Lux, Laurin, et al.
Publicado: (2024)

STARCaster: Spatio-Temporal AutoRegressive Video Diffusion for Identity- and View-Aware Talking Portraits
por: Papantoniou, Foivos Paraperas, et al.
Publicado: (2025)

Heterogeneous Image GNN: Graph-Conditioned Diffusion for Image Synthesis
por: Menneer, Rupert, et al.
Publicado: (2025)