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MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level
  Image-Concept Alignment

MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment

AAAI Conference on Artificial Intelligence (AAAI), 2024
16 January 2024
Yequan Bie
Luyang Luo
Hao Chen
ArXiv (abs)PDFHTML

Papers citing "MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment"

15 / 15 papers shown
Title
Weakly Supervised Concept Learning with Class-Level Priors for Interpretable Medical Diagnosis
Weakly Supervised Concept Learning with Class-Level Priors for Interpretable Medical Diagnosis
Md Nahiduzzaman
Steven Korevaar
A. Bab-Hadiashar
Ruwan Tennakoon
80
0
0
03 Nov 2025
ViConEx-Med: Visual Concept Explainability via Multi-Concept Token Transformer for Medical Image Analysis
ViConEx-Med: Visual Concept Explainability via Multi-Concept Token Transformer for Medical Image Analysis
Cristiano Patrício
Luís F. Teixeira
João C. Neves
MedIm
110
0
0
11 Oct 2025
CoPA: Hierarchical Concept Prompting and Aggregating Network for Explainable Diagnosis
CoPA: Hierarchical Concept Prompting and Aggregating Network for Explainable DiagnosisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Yiheng Dong
Yi Lin
Xin Yang
92
0
0
04 Oct 2025
In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging
In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging
V. Corbetta
Floris Six Dijkstra
R. Beets-Tan
Hoel Kervadec
Kristoffer Wickstrøm
Wilson Silva
OOD
70
0
0
19 Aug 2025
CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification
CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image ClassificationComputers in Biology and Medicine (Comput. Biol. Med.), 2025
Cristiano Patrício
Isabel Rio-Torto
J. S. Cardoso
Luís F. Teixeira
João C. Neves
VLM
985
3
0
21 Jan 2025
Concept Complement Bottleneck Model for Interpretable Medical Image
  Diagnosis
Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis
Hongmei Wang
Junlin Hou
Hao Chen
187
4
0
20 Oct 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New
  Outlooks
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks
Junlin Hou
Sicen Liu
Yequan Bie
Hongmei Wang
Andong Tan
Luyang Luo
Hao Chen
XAI
308
24
0
03 Oct 2024
A Novel Perspective for Multi-modal Multi-label Skin Lesion
  Classification
A Novel Perspective for Multi-modal Multi-label Skin Lesion ClassificationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Yuan Zhang
Yutong Xie
Hu Wang
Jodie C Avery
M. L. Hull
Gustavo Carneiro
217
1
0
19 Sep 2024
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary
  Concepts
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary ConceptsEuropean Conference on Computer Vision (ECCV), 2024
Andong Tan
Fengtao Zhou
Hao Chen
VLM
193
15
0
05 Aug 2024
MDA: An Interpretable Multi-Modal Fusion with Missing Modalities and
  Intrinsic Noise
MDA: An Interpretable Multi-Modal Fusion with Missing Modalities and Intrinsic Noise
Lin Fan
Yafei Ou
Cenyang Zheng
Pengyu Dai
Tamotsu Kamishima
Masayuki Ikebe
Kenji Suzuki
Xun Gong
154
0
0
15 Jun 2024
MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part
  Network for 3D Magnetic Resonance Imaging Brain Tumor Classification
MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor Classification
Binghua Li
Jie Mao
Zhe Sun
Chao Li
Qibin Zhao
Toshihisa Tanaka
180
1
0
13 Apr 2024
Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis
Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis
Junlin Hou
Jilan Xu
Hao Chen
MedIm
201
10
0
09 Apr 2024
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via
  Concept-guided Context Optimization
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context OptimizationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Yequan Bie
Luyang Luo
Zhixuan Chen
Hao Chen
162
18
0
14 Mar 2024
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
2.7K
28,515
0
22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.9K
19,337
0
16 Feb 2016
1