Imagen de Portada

Unsupervised Out-of-Distribution Detection in Medical Imaging Using Multi-Exit Class Activation Maps and Feature Masking

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Yu-Jen, Li, Xueyang, Shi, Yiyu, Ho, Tsung-Yi
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis
por: Chiu, Ching-Hao, et al.
Publicado: (2023)

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation
por: Zeng, Dewen, et al.
Publicado: (2025)

Toward Fairness via Maximum Mean Discrepancy Regularization on Logits Space
por: Chung, Hao-Wei, et al.
Publicado: (2024)

Enhancing 3D Transformer Segmentation Model for Medical Image with Token-level Representation Learning
por: Hu, Xinrong, et al.
Publicado: (2024)

Achieve Fairness without Demographics for Dermatological Disease Diagnosis
por: Chiu, Ching-Hao, et al.
Publicado: (2024)

MOODv2: Masked Image Modeling for Out-of-Distribution Detection
por: Li, Jingyao, et al.
Publicado: (2024)

Multi-view Feature Augmentation with Adaptive Class Activation Mapping
por: Gao, Xiang, et al.
Publicado: (2022)

DICS: Find Domain-Invariant and Class-Specific Features for Out-of-Distribution Generalization
por: Miao, Qiaowei, et al.
Publicado: (2024)

Out-of-Distribution Detection using Neural Activation Prior
por: Wan, Weilin, et al.
Publicado: (2024)

MaskMed: Decoupled Mask and Class Prediction for Medical Image Segmentation
por: Xie, Bin, et al.
Publicado: (2025)

Inpainting is All You Need: A Diffusion-based Augmentation Method for Semi-supervised Medical Image Segmentation
por: Hu, Xinrong, et al.
Publicado: (2025)

Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories
por: Abdi, Lemar, et al.
Publicado: (2025)

RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection
por: He, Zhiyuan, et al.
Publicado: (2024)

Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis
por: Kong, Qingpeng, et al.
Publicado: (2024)

MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans
por: Li, Xueyang, et al.
Publicado: (2024)

Masked Diffusion as Self-supervised Representation Learner
por: Pan, Zixuan, et al.
Publicado: (2023)

Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective
por: Pan, Zixuan, et al.
Publicado: (2024)

Out-of-Distribution Detection Using Peer-Class Generated by Large Language Model
por: Huang, K, et al.
Publicado: (2024)

CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging
por: Ling, Zhiwei, et al.
Publicado: (2025)

LaFAM: Unsupervised Feature Attribution with Label-free Activation Maps
por: Karjauv, Aray, et al.
Publicado: (2024)

Activation Subspaces for Out-of-Distribution Detection
por: Zöngür, Barış, et al.
Publicado: (2025)

Safeguarding AI in Medical Imaging: Post-Hoc Out-of-Distribution Detection with Normalizing Flows
por: Lotfi, Dariush, et al.
Publicado: (2025)

Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection
por: Doorenbos, Lars, et al.
Publicado: (2024)

Local Background Features Matter in Out-of-Distribution Detection
por: Ye, Jinlun, et al.
Publicado: (2025)

OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection
por: Gutbrod, Max, et al.
Publicado: (2025)

Hierarchical Vision-Language Learning for Medical Out-of-Distribution Detection
por: Lai, Runhe, et al.
Publicado: (2025)

H-CNN-ViT: A Hierarchical Gated Attention Multi-Branch Model for Bladder Cancer Recurrence Prediction
por: Li, Xueyang, et al.
Publicado: (2025)

OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning
por: Miao, Wenjun, et al.
Publicado: (2024)

Delving into Out-of-Distribution Detection with Medical Vision-Language Models
por: Ju, Lie, et al.
Publicado: (2025)

Improving Out-of-Distribution Detection with Disentangled Foreground and Background Features
por: Ding, Choubo, et al.
Publicado: (2023)

LLaMA-Reg: Using LLaMA 2 for Unsupervised Medical Image Registration
por: Ma, Mingrui, et al.
Publicado: (2024)

Mitral Regurgitation Recognition based on Unsupervised Out-of-Distribution Detection with Residual Diffusion Amplification
por: Liu, Zhe, et al.
Publicado: (2024)

Multi-Method Ensemble for Out-of-Distribution Detection
por: Rakotoarivony, Lucas
Publicado: (2025)

An Adaptive System for Wearable Devices to Detect Stress Using Physiological Signals
por: Xu, Gelei, et al.
Publicado: (2024)

Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling
por: Wu, Di, et al.
Publicado: (2024)

Out-of-distribution Detection in Medical Image Analysis: A survey
por: Hong, Zesheng, et al.
Publicado: (2024)

Causally Guided Gaussian Perturbations for Out-Of-Distribution Generalization in Medical Imaging
por: Pei, Haoran, et al.
Publicado: (2025)

Pediatric Wrist Fracture Detection Using Feature Context Excitation Modules in X-ray Images
por: Ju, Rui-Yang, et al.
Publicado: (2024)

Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks
por: Gong, Cheng, et al.
Publicado: (2024)

Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
por: Guo, Jia, et al.
Publicado: (2024)