Cover Image

Wasserstein-Aligned Localisation for VLM-Based Distributional OOD Detection in Medical Imaging

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kainz, Bernhard, Mueller, Johanna P, Baugh, Matthew, Bercea, Cosmin
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound
by: Wong, Chun Kit, et al.
Published: (2025)

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

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

Towards Universal Unsupervised Anomaly Detection in Medical Imaging
by: Bercea, Cosmin I., et al.
Published: (2024)

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

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

Denoising Diffusion Models for Anomaly Localization in Medical Images
by: Bercea, Cosmin I., et al.
Published: (2024)

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

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

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

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

Diffusion Models with Implicit Guidance for Medical Anomaly Detection
by: Bercea, Cosmin I., et al.
Published: (2024)

Semantic Alignment of Unimodal Medical Text and Vision Representations
by: Di Folco, Maxime, et al.
Published: (2025)

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

LocBAM: Advancing 3D Patch-Based Image Segmentation by Integrating Location Contex
by: Hooft, Donnate, et al.
Published: (2026)

Pallet Detection And Localisation From Synthetic Data
by: Mueller, Henri, et al.
Published: (2025)

FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks
by: Wu, Peiran, et al.
Published: (2024)

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

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

Graph Conditioned Diffusion for Controllable Histopathology Image Generation
by: Cechnicka, Sarah, et al.
Published: (2025)

How to train your ViT for OOD Detection
by: Mueller, Maximilian, et al.
Published: (2024)

Mahalanobis++: Improving OOD Detection via Feature Normalization
by: Mueller, Maximilian, et al.
Published: (2025)

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

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

ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
by: Yang, William, et al.
Published: (2023)

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

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

An Empirical Analysis of VLM-based OOD Detection: Mechanisms, Advantages, and Sensitivity
by: Lee, Yuxiao, et al.
Published: (2025)

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

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

PixOOD: Pixel-Level Out-of-Distribution Detection
by: Vojíř, Tomáš, et al.
Published: (2024)

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

CURE-OOD: Benchmarking Out-of-Distribution Detection for Survival Prediction
by: Zhao, Wenjie, et al.
Published: (2026)

Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection
by: Li, Jinglun, et al.
Published: (2025)

FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection
by: Isaac-Medina, Brian K. S., et al.
Published: (2024)

Detecting Outliers with Foreign Patch Interpolation
by: Tan, Jeremy, et al.
Published: (2020)

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

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

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