Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

22 July 2021

Bas H. M. van der Velden

Papers citing "Explainable artificial intelligence (XAI) in deep learning-based medical image analysis"

50 / 68 papers shown

Title
MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis Jiahao Lu Chong Yin Silvia Ingala Kenny Erleben M. Nielsen S. Darkner 59 0 0 27 Apr 2025
Going beyond explainability in multi-modal stroke outcome prediction models Jonas Brändli Maurice Schneeberger L. Herzog Loran Avci Nordin Dari Martin Häansel Hakim Baazaoui Pascal Bühler S. Wegener Beate Sick 26 0 0 07 Apr 2025
A Method for Evaluating the Interpretability of Machine Learning Models in Predicting Bond Default Risk Based on LIME and SHAP Yan Zhang Lin Chen Yixiang Tian FAtt 62 0 0 26 Feb 2025
An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Sauda Adiv Hanum Ashim Dey Muhammad Ashad Kabir 50 2 0 10 Jan 2025
GRAPHITE: Graph-Based Interpretable Tissue Examination for Enhanced Explainability in Breast Cancer Histopathology Raktim Kumar Mondol Ewan K. A. Millar Peter H. Graham Lois Browne Arcot Sowmya Erik H. W. Meijering 46 0 0 08 Jan 2025
Explainable Artificial Intelligence for Medical Applications: A Review Qiyang Sun Alican Akman Björn Schuller 92 6 0 15 Nov 2024
Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning M. Y. Jabarulla T. Uden Thomas Jack P. Beerbaum S. Oeltze-jafra 37 1 0 15 Nov 2024
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation Chong Wang Fengbei Liu Yuanhong Chen Helen Frazer Gustavo Carneiro 32 2 0 07 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
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation Peiyu Li O. Bahri Pouya Hosseinzadeh S. F. Boubrahimi S. M. Hamdi CML LRM 34 1 0 27 Oct 2024
Looking into Concept Explanation Methods for Diabetic Retinopathy Classification Andrea M. Storås Josefine V. Sundgaard 40 0 0 04 Oct 2024
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 25 3 0 03 Oct 2024
Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features Thomas Schnake Farnoush Rezaei Jafaria Jonas Lederer Ping Xiong Shinichi Nakajima Stefan Gugler G. Montavon Klaus-Robert Müller 43 4 0 30 Aug 2024
IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology Pardis Afshar Sajjad Hashembeiki Pouya Khani Emad Fatemizadeh M. Rohban 26 4 0 29 Aug 2024
Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models Maciej Chrabaszcz Hubert Baniecki Piotr Komorowski Szymon Płotka Przemysław Biecek 31 1 0 23 Jul 2024
Towards consistency of rule-based explainer and black box model -- fusion of rule induction and XAI-based feature importance M. Kozielski Marek Sikora Lukasz Wawrowski 23 1 0 16 Jul 2024
Explainable Image Recognition via Enhanced Slot-attention Based Classifier Bowen Wang Liangzhi Li Jiahao Zhang Yuta Nakashima Hajime Nagahara OCL 44 0 0 08 Jul 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 36 1 0 27 Jun 2024
Clinically inspired enhance Explainability and Interpretability of an AI-Tool for BCC diagnosis based on expert annotation Iván Matas Carmen Serrano Francisca Silva Amalia Serrano Tomás Toledo-Pastrana B. Acha 25 0 0 27 Jun 2024
DWARF: Disease-weighted network for attention map refinement Haozhe Luo Aurélie Pahud de Mortanges Oana Inel Abraham Bernstein Mauricio Reyes MedIm 31 3 0 24 Jun 2024
ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery Kam Woh Ng Xiatian Zhu Yi-Zhe Song Tao Xiang 37 2 0 12 Jun 2024
Through the Thicket: A Study of Number-Oriented LLMs derived from Random Forest Models M. Romaszewski Przemysław Sekuła P. Głomb M. Cholewa Katarzyna Kołodziej 37 0 0 07 Jun 2024
Transferring Domain Knowledge with (X)AI-Based Learning Systems Philipp Spitzer Niklas Kühl Marc Goutier Manuel Kaschura G. Satzger 38 2 0 03 Jun 2024
Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis Haowen Zhou Steven S. Lin Mark Watson Cory T. Bernadt Oumeng Zhang R. Govindan R. Cote Changhuei Yang 23 0 0 01 Jun 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks Linhui Huang S. Lala N. Jha 68 2 0 01 Jun 2024
The Explanation Necessity for Healthcare AI Michail Mamalakis Héloïse de Vareilles Graham K Murray Pietro Lio' J. Suckling 33 2 0 31 May 2024
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property Yuya Yoshikawa Masanari Kimura Ryotaro Shimizu Yuki Saito FAtt 27 0 0 23 May 2024
To Trust or Not to Trust: Towards a novel approach to measure trust for XAI systems Miquel Miró-Nicolau Gabriel Moyà Alcover Antoni Jaume-i-Capó Manuel González Hidalgo Maria Gemma Sempere Campello Juan Antonio Palmer Sancho 23 0 0 09 May 2024
Position: Do Not Explain Vision Models Without Context Paulina Tomaszewska Przemysław Biecek 37 1 0 28 Apr 2024
Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging Tommaso Torda Andrea Ciardiello Simona Gargiulo Greta Grillo Simone Scardapane Cecilia Voena S. Giagu 29 0 0 05 Apr 2024
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation T. Chowdhury Kewen Liao Vu Minh Hieu Phan Minh Nguyen Nhat To Yutong Xie Kevin Hung David Ross Anton Van Den Hengel Johan W. Verjans Zhibin Liao 17 1 0 03 Apr 2024
Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Graph Variational Autoencoder with Contrastive Learning Jakaria Rabbi Johannes Kiechle Christian Beaulieu Nilanjan Ray Dana Cobzas 32 0 0 31 Mar 2024
Envisioning MedCLIP: A Deep Dive into Explainability for Medical Vision-Language Models Anees Ur Rehman Hashmi Dwarikanath Mahapatra Mohammad Yaqub VLM MedIm 23 2 0 27 Mar 2024
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans Lisa Anita De Santi Jorg Schlotterer Michael Scheschenja Joel Wessendorf Meike Nauta Vincenzo Positano Christin Seifert MedIm 38 3 0 27 Mar 2024
Clinical Domain Knowledge-Derived Template Improves Post Hoc AI Explanations in Pneumothorax Classification Han Yuan Chuan Hong Pengtao Jiang Gangming Zhao Nguyen Tuan Anh Tran Xinxing Xu Yet Yen Yan Nan Liu 36 11 0 26 Mar 2024
DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving Tianqi Wang Enze Xie Ruihang Chu Zhenguo Li Ping Luo LRM 34 15 0 25 Mar 2024
DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks Dominik Müller Philip Meyer Lukas Rentschler Robin Manz Jonas Bäcker ... Christoph Wengenmayr Bruno Märkl Ralf Huss Iñaki Soto Rey Johannes Raffler 26 4 0 25 Mar 2024
WEEP: A method for spatial interpretation of weakly supervised CNN models in computational pathology Abhinav Sharma Bojing Liu M. Rantalainen 25 0 0 22 Mar 2024
Towards Explainable LiDAR Point Cloud Semantic Segmentation via Gradient Based Target Localization A. Kuriyal Vaibhav Kumar 3DPC 24 1 0 19 Feb 2024
XAI for Skin Cancer Detection with Prototypes and Non-Expert Supervision Miguel Correia Alceu Bissoto Carlos Santiago Catarina Barata 29 0 0 02 Feb 2024
DAM: Diffusion Activation Maximization for 3D Global Explanations Hanxiao Tan 27 1 0 26 Jan 2024
Unveiling the Human-like Similarities of Automatic Facial Expression Recognition: An Empirical Exploration through Explainable AI F. X. Gaya-Morey S. Ramis-Guarinos Cristina Manresa-Yee Jose Maria Buades Rubio CVBM 31 3 0 22 Jan 2024
Cloud-based XAI Services for Assessing Open Repository Models Under Adversarial Attacks Zerui Wang Yan Liu AAML 25 1 0 22 Jan 2024
A comprehensive study on fidelity metrics for XAI Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover 36 11 0 19 Jan 2024
Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence Zhengqing Fang Shuowen Zhou Zhouhang Yuan Yuxuan Si Mengze Li ... Wenjia Xie Kun Kuang Yingming Li Fei Wu Yu-feng Yao 39 1 0 14 Jan 2024
Understanding whole-body inter-personal dynamics between two players using neural Granger causality as the explainable AI (XAI) Ryota Takamido Chiharu Suzuki Jun Ota Hiroki Nakamoto 21 0 0 12 Jan 2024
An Interpretable Deep Learning Approach for Skin Cancer Categorization Faysal Mahmud Md. Mahin Mahfiz Md. Zobayer Ibna Kabir Yusha Abdullah 18 2 0 17 Dec 2023
MRxaI: Black-Box Explainability for Image Classifiers in a Medical Setting Nathan Blake Hana Chockler David A. Kelly Santiago Calderón-Pena Akchunya Chanchal 15 1 0 24 Nov 2023
Representing visual classification as a linear combination of words Shobhit Agarwal Yevgeniy R. Semenov William Lotter 42 1 0 18 Nov 2023
IODeep: an IOD for the introduction of deep learning in the DICOM standard Salvatore Contino Luca Cruciata O. Gambino Roberto Pirrone 26 0 0 10 Nov 2023