A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI

17 July 2019

Papers citing "A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI"

50 / 120 papers shown

Title
PointExplainer: Towards Transparent Parkinson's Disease Diagnosis Xuechao Wang S. Nõmm Junqing Huang Kadri Medijainen A. Toomela Michael Ruzhansky AAML FAtt 23 0 0 04 May 2025
REMEMBER: Retrieval-based Explainable Multimodal Evidence-guided Modeling for Brain Evaluation and Reasoning in Zero- and Few-shot Neurodegenerative Diagnosis Duy-Cat Can Quang-Huy Tang Huong Ha Binh T. Nguyen Oliver Y. Chén 28 0 0 12 Apr 2025
DCAT: Dual Cross-Attention Fusion for Disease Classification in Radiological Images with Uncertainty Estimation Jutika Borah H. Singh MedIm 45 0 0 14 Mar 2025
From Abstract to Actionable: Pairwise Shapley Values for Explainable AI Jiaxin Xu Hung Chau Angela Burden TDI 50 0 0 18 Feb 2025
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 68 2 0 14 Feb 2025
Generating visual explanations from deep networks using implicit neural representations Michal Byra Henrik Skibbe GAN FAtt 29 0 0 20 Jan 2025
Faithful Counterfactual Visual Explanations (FCVE) Bismillah Khan Syed Ali Tariq Tehseen Zia Muhammad Ahsan David Windridge 44 0 0 12 Jan 2025
Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers Syed Ali Tariq Tehseen Zia Mubeen Ghafoor AAML 62 7 0 12 Jan 2025
An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Sauda Adiv Hanum Ashim Dey Muhammad Ashad Kabir 42 2 0 10 Jan 2025
Explainable AI for Classifying UTI Risk Groups Using a Real-World Linked EHR and Pathology Lab Dataset Yujie Dai Brian Sullivan Axel Montout Amy Dillon Chris Waller ... Rachel Denholm Philip Williams Alastair D Hay Raul Santos-Rodriguez Andrew Dowsey 62 0 0 26 Nov 2024
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 79 0 0 23 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 35 1 0 15 Nov 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 75 1 0 09 Oct 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 67 28 0 30 Aug 2024
Beyond the Hype: A dispassionate look at vision-language models in medical scenario Yang Nan Huichi Zhou Xiaodan Xing Guang Yang 46 3 0 16 Aug 2024
Algebraic Adversarial Attacks on Integrated Gradients Lachlan Simpson Federico Costanza Kyle Millar A. Cheng Cheng-Chew Lim Hong-Gunn Chew SILM AAML 64 2 0 23 Jul 2024
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks Sarah Jabbour Gregory Kondas Ella Kazerooni Michael Sjoding David Fouhey Jenna Wiens FAtt DiffM 44 1 0 19 Jul 2024
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection Lynn Vonderhaar Timothy Elvira T. Procko Omar Ochoa 26 0 0 21 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
Predicting and Explaining Hearing Aid Usage Using Encoder-Decoder with Attention Mechanism and SHAP Qiqi Su Eleftheria Iliadou 21 1 0 18 May 2024
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients Evandro S. Ortigossa Fábio F. Dias Brian Barr Claudio T. Silva L. G. Nonato FAtt 54 2 0 25 Apr 2024
ECOR: Explainable CLIP for Object Recognition Ali Rasekh Sepehr Kazemi Ranjbar Milad Heidari Wolfgang Nejdl VLM 40 4 0 19 Apr 2024
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification Robert Vacareanu F. Alam M. Islam Haris Riaz Mihai Surdeanu NAI 24 2 0 05 Mar 2024
Explaining Kernel Clustering via Decision Trees Maximilian Fleissner L. C. Vankadara D. Ghoshdastidar FAtt 34 4 0 15 Feb 2024
Prototypical Self-Explainable Models Without Re-training Srishti Gautam Ahcène Boubekki Marina M.-C. Höhne Michael C. Kampffmeyer 26 2 0 13 Dec 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition Chong Wang Yuanhong Chen Fengbei Liu Yuyuan Liu Davis J. McCarthy Helen Frazer Gustavo Carneiro 18 1 0 30 Nov 2023
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers Stéphane d’Ascoli Soren Becker Alexander Mathis Philippe Schwaller Niki Kilbertus 24 21 0 09 Oct 2023
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications Adam Ivankay Mattia Rigotti P. Frossard OOD MedIm 21 1 0 05 Jul 2023
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review M. Wong Shangxin Guo Ching Nam Hang Siu-Wai Ho C. Tan 35 78 0 04 Jul 2023
Investigating Poor Performance Regions of Black Boxes: LIME-based Exploration in Sepsis Detection Mozhgan Salimiparsa Surajsinh Parmar San Lee Cho-Myong Kim Yonghwan Kim Jang Yong Kim FAtt 14 2 0 21 Jun 2023
Evaluation of Popular XAI Applied to Clinical Prediction Models: Can They be Trusted? A. Brankovic David Cook Jessica Rahman Wenjie Huang Sankalp Khanna 14 1 0 21 Jun 2023
Explainable Knowledge Distillation for On-device Chest X-Ray Classification C. Termritthikun Ayaz Umer Suwichaya Suwanwimolkul Feng Xia Ivan Lee 18 13 0 10 May 2023
Technical Understanding from IML Hands-on Experience: A Study through a Public Event for Science Museum Visitors Wataru Kawabe Yuri Nakao Akihisa Shitara Yusuke Sugano 26 1 0 10 May 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 18 56 0 10 Apr 2023
Towards Real-World Applications of Personalized Anesthesia Using Policy Constraint Q Learning for Propofol Infusion Control Xiuding Cai Jiao Chen Yaoyao Zhu Beiming Wang Yu Yao OffRL 32 5 0 17 Mar 2023
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment Kecheng Chen Jie Liu Renjie Wan Victor Ho-Fun Lee Varut Vardhanabhuti Hong Yan Haoliang Li OOD 26 5 0 26 Feb 2023
Less is More: The Influence of Pruning on the Explainability of CNNs David Weber F. Merkle Pascal Schöttle Stephan Schlögl Martin Nocker FAtt 29 1 0 17 Feb 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey L. Delong Ramon Fernández Mir Jacques D. Fleuriot NAI 25 12 0 14 Feb 2023
VR-LENS: Super Learning-based Cybersickness Detection and Explainable AI-Guided Deployment in Virtual Reality Ripan Kumar Kundu Osama Yahia Elsaid Prasad Calyam K. A. Hoque 22 10 0 03 Feb 2023
A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects Yuntao Wang Zhou Su Shaolong Guo Minghui Dai Tom H. Luan Yiliang Liu 24 105 0 31 Jan 2023
The Projection-Enhancement Network (PEN) Christopher Z. Eddy Austin Naylor Bo Sun 3DV 3DPC 16 0 0 26 Jan 2023
HEAR4Health: A blueprint for making computer audition a staple of modern healthcare Andreas Triantafyllopoulos Alexander Kathan Alice Baird Lukas Christ Alexander Gebhard ... Shahin Amiriparian K. D. Bartl-Pokorny A. Batliner Florian B. Pokorny Björn W. Schuller 39 7 0 25 Jan 2023
Feature construction using explanations of individual predictions Boštjan Vouk Matej Guid Marko Robnik-Šikonja FAtt 19 10 0 23 Jan 2023
Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations Maximilian Schlüter Gerrit Nolte Alnis Murtovi Bernhard Steffen 18 6 0 19 Jan 2023
On the explainability of quantum neural networks based on variational quantum circuits Ammar Daskin MLT FAtt 23 2 0 12 Jan 2023
A Meta-Learning Algorithm for Interrogative Agendas Erman Acar Andrea De Domenico Krishna Manoorkar Mattia Panettiere 8 2 0 04 Jan 2023
Mapping Knowledge Representations to Concepts: A Review and New Perspectives Lars Holmberg P. Davidsson Per Linde 28 1 0 31 Dec 2022
Interpretable ML for Imbalanced Data Damien Dablain C. Bellinger Bartosz Krawczyk D. Aha Nitesh V. Chawla 22 1 0 15 Dec 2022
Towards Explainability in Modular Autonomous Vehicle Software Hongrui Zheng Zirui Zang Shuo Yang Rahul Mangharam 25 0 0 01 Dec 2022
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models Poulami Sinhamahapatra Lena Heidemann Maureen Monnet Karsten Roscher 31 5 0 22 Nov 2022