Cover Image

Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Yibo, Gao, Zheyao, Gao, Xin, Liu, Yuanye, Wang, Bomin, Zhuang, Xiahai
Format:	Preprint
Published:	2024
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

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification
by: Gao, Yibo, et al.
Published: (2025)

Generalized Evidential Deep Learning: From a Bayesian Perspective
by: Liu, Yuanye, et al.
Published: (2026)

Beyond Forgetting in Continual Medical Image Segmentation: A Comprehensive Benchmark Study
by: Wang, Bomin, et al.
Published: (2026)

Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning
by: Wang, Bomin, et al.
Published: (2024)

MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging
by: Liu, Yuanye, et al.
Published: (2024)

Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model
by: Cai, Yuxuan, et al.
Published: (2025)

ZScribbleSeg: A comprehensive segmentation framework with modeling of efficient annotation and maximization of scribble supervision
by: Zhang, Ke, et al.
Published: (2026)

Uncertainty-Supervised Interpretable and Robust Evidential Segmentation
by: Li, Yuzhu, et al.
Published: (2025)

Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM
by: Hu, Xin, et al.
Published: (2024)

InDeed: Interpretable image deep decomposition with guaranteed generalizability
by: Wang, Sihan, et al.
Published: (2025)

X-Edit: Exact, Explicit, and Explainable Null-Space Editing for Medical Vision Transformers
by: Liu, Yuanye, et al.
Published: (2026)

Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
by: Liu, Jiyao, et al.
Published: (2024)

Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models
by: Patrício, Cristiano, et al.
Published: (2023)

Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis
by: Hou, Junlin, et al.
Published: (2024)

Visual Data Diagnosis and Debiasing with Concept Graphs
by: Chakraborty, Rwiddhi, et al.
Published: (2024)

MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment
by: Bie, Yequan, et al.
Published: (2024)

TRCE: Towards Reliable Malicious Concept Erasure in Text-to-Image Diffusion Models
by: Chen, Ruidong, et al.
Published: (2025)

Concept Based Explanations and Class Contrasting
by: Herdt, Rudolf, et al.
Published: (2025)

Towards Reliable Medical Image Segmentation by Modeling Evidential Calibrated Uncertainty
by: Zou, Ke, et al.
Published: (2023)

Few-Shot Video Object Segmentation in X-Ray Angiography Using Local Matching and Spatio-Temporal Consistency Loss
by: Xi, Lin, et al.
Published: (2026)

CoPA: Hierarchical Concept Prompting and Aggregating Network for Explainable Diagnosis
by: Dong, Yiheng, et al.
Published: (2025)

CUE: Concept-Aware Multi-Label Expansion to Mitigate Concept Confusion in Long-Tailed Learning
by: Zhang, Ruichi, et al.
Published: (2026)

Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification
by: Gao, Yunhe, et al.
Published: (2024)

On the Concept Trustworthiness in Concept Bottleneck Models
by: Huang, Qihan, et al.
Published: (2024)

Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes
by: Obadic, Ivica, et al.
Published: (2024)

Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models
by: Gong, Chao, et al.
Published: (2024)

Towards 3D heart mesh generation using contactless radar imaging and physics-informed neural network
by: Li, Jinye, et al.
Published: (2026)

LiDAR Remote Sensing Meets Weak Supervision: Concepts, Methods, and Perspectives
by: Gao, Yuan, et al.
Published: (2025)

AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis
by: Chowdhury, Townim F., et al.
Published: (2024)

A Two-Step Concept-Based Approach for Enhanced Interpretability and Trust in Skin Lesion Diagnosis
by: Patrício, Cristiano, et al.
Published: (2024)

Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis
by: Wang, Hongmei, et al.
Published: (2024)

Concept-wise Attention for Fine-grained Concept Bottleneck Models
by: Zhong, Minghong, et al.
Published: (2026)

Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts
by: Tan, Andong, et al.
Published: (2024)

Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration
by: Luo, Xinzhe, et al.
Published: (2024)

Divide and Conquer: Reliable Multi-View Evidential Learning for Deepfake Detection
by: Kang, Xiaolu, et al.
Published: (2026)

CE-FAM: Concept-Based Explanation via Fusion of Activation Maps
by: Kuroki, Michihiro, et al.
Published: (2025)

Learning Real Facial Concepts for Independent Deepfake Detection
by: Liu, Ming-Hui, et al.
Published: (2025)

Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
by: Shirkavand, Reza, et al.
Published: (2024)

Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models
by: Xie, Yan, et al.
Published: (2025)

Stable Vision Concept Transformers for Medical Diagnosis
by: Hu, Lijie, et al.
Published: (2025)