Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models

4 October 2023

Chun-Nan Hsu

Julian McAuley

Papers citing "Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models"

31 / 31 papers shown

Title
CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models Hasan Md Tusfiqur Alam Devansh Srivastav Abdulrahman Mohamed Selim Md Abdul Kadir Md Moktadiurl Hoque Shuvo Daniel Sonntag MedIm 40 0 0 29 Apr 2025
Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models Songning Lai Yu Huang Jiayu Yang Gaoxiang Huang Wenshuo Chen Yutao Yue 64 0 0 25 Nov 2024
Classification with Conceptual Safeguards Hailey Joren Charles Marx Berk Ustun 26 2 0 07 Nov 2024
Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models Aashiq Muhamed Mona Diab Virginia Smith 28 2 0 01 Nov 2024
Towards Multi-dimensional Explanation Alignment for Medical Classification Lijie Hu Songning Lai Wenshuo Chen Hongru Xiao Hongbin Lin Lu Yu Jingfeng Zhang Di Wang 35 0 0 28 Oct 2024
Image-guided topic modeling for interpretable privacy classification Alina Elena Baia Andrea Cavallaro 32 0 0 27 Sep 2024
A Survey on Trustworthiness in Foundation Models for Medical Image Analysis Congzhen Shi Ryan Rezai Jiaxi Yang Qi Dou Xiaoxiao Li MedIm 29 4 0 03 Jul 2024
FI-CBL: A Probabilistic Method for Concept-Based Learning with Expert Rules Lev V. Utkin A. Konstantinov Stanislav R. Kirpichenko 26 0 0 28 Jun 2024
Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis Yibo Gao Zheyao Gao Xin Gao Yuanye Liu Bomin Wang Xiahai Zhuang 18 1 0 27 Jun 2024
Semi-supervised Concept Bottleneck Models Lijie Hu Tianhao Huang Huanyi Xie Chenyang Ren Zhengyu Hu Lu Yu Lu Yu Ping Ma Di Wang 41 4 0 27 Jun 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang Mona Gandhi Yufei Wang Yifan Wu Michael S. Yao Christopher Callison-Burch James C. Gee Mark Yatskar 43 3 0 23 May 2024
Improving Concept Alignment in Vision-Language Concept Bottleneck Models Nithish Muthuchamy Selvaraj Xiaobao Guo Bingquan Shen A. Kong Alex C. Kot VLM 37 0 0 03 May 2024
Simplifying Multimodality: Unimodal Approach to Multimodal Challenges in Radiology with General-Domain Large Language Model Seonhee Cho Choonghan Kim Jiho Lee Chetan Chilkunda Sujin Choi Joo Heung Yoon 44 0 0 29 Apr 2024
Pre-trained Vision-Language Models Learn Discoverable Visual Concepts Yuan Zang Tian Yun Hao Tan Trung Bui Chen Sun VLM CoGe 45 9 0 19 Apr 2024
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 16 0 0 13 Apr 2024
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models Samuel Marks Can Rager Eric J. Michaud Yonatan Belinkov David Bau Aaron Mueller 44 110 0 28 Mar 2024
Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learning A. Konstantinov Lev V. Utkin 35 3 0 22 Feb 2024
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning Liang Peng Songyue Cai Zongqian Wu Huifang Shang Xiaofeng Zhu Xiaoxiao Li 28 9 0 22 Dec 2023
CLIP in Medical Imaging: A Comprehensive Survey Zihao Zhao Yuxiao Liu Han Wu Yonghao Li Sheng Wang L. Teng Disheng Liu Zhiming Cui Qian Wang Dinggang Shen CLIP MedIm LM&MA VLM 21 2 0 12 Dec 2023
CLIP-QDA: An Explainable Concept Bottleneck Model Rémi Kazmierczak Eloise Berthier Goran Frehse Gianni Franchi 14 7 0 30 Nov 2023
Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models Cristiano Patrício Luís F. Teixeira João C. Neves 8 6 0 24 Nov 2023
Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving J. Echterhoff An Yan Kyungtae Han Amr Abdelraouf Rohit Gupta Julian McAuley 8 7 0 25 Oct 2023
Post-hoc Concept Bottleneck Models Mert Yuksekgonul Maggie Wang James Y. Zou 133 183 0 31 May 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 4,048 0 24 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,881 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,402 0 28 Jan 2022
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat F. Khan H. Fu ViT LM&MA MedIm 106 660 0 24 Jan 2022
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation An Yan Zexue He Xing Lu Jingfeng Du E. Chang Amilcare Gentili Julian McAuley Chun-Nan Hsu MedIm 86 64 0 25 Sep 2021
Gradient Matching for Domain Generalization Yuge Shi Jeffrey S. Seely Philip H. S. Torr Siddharth Narayanaswamy Awni Y. Hannun Nicolas Usunier Gabriel Synnaeve OOD 205 291 0 20 Apr 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 369 0 09 May 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,599 0 19 Feb 2017