Explainable deep learning models in medical image analysis

28 May 2020

Amitojdeep Singh

S. Sengupta

Vasudevan Lakshminarayanan

XAI

ArXiv PDF HTML

Papers citing "Explainable deep learning models in medical image analysis"

50 / 96 papers shown

Title
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations Indu Panigrahi Sunnie S. Y. Kim Amna Liaqat Rohan Jinturkar Olga Russakovsky Ruth C. Fong Parastoo Abtahi FAtt HAI 57 0 0 14 Apr 2025
Efficient Epistemic Uncertainty Estimation in Cerebrovascular Segmentation Omini Rathore Richard D. Paul Abigail Morrison Hanno Scharr Elisabeth Pfaehler UQCV 50 0 0 28 Mar 2025
AI-Assisted Decision Making with Human Learning Gali Noti Kate Donahue Jon M. Kleinberg Sigal Oren 122 0 0 18 Feb 2025
Accurate Explanation Model for Image Classifiers using Class Association Embedding Ruitao Xie Jingbang Chen Limai Jiang Rui Xiao Yi-Lun Pan Yunpeng Cai 55 4 0 31 Dec 2024
Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0 Mohammad R. Salmanpour Sajad Amiri Sara Gharibi Ahmad Shariftabrizi Yixi Xu William B. Weeks Arman Rahmim I. Hacihaliloglu MedIm 67 1 0 14 Dec 2024
Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2 Gustav Muller-Franzes Firas Khader R. Siepmann T. Han Jakob Nikolas Kather S. Nebelung Daniel Truhn MedIm 71 0 0 24 Nov 2024
Explainable Artificial Intelligence for Medical Applications: A Review Qiyang Sun Alican Akman Björn Schuller 81 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 32 1 0 15 Nov 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
Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and Layerwise Relevance Propagation: A Prospective In Silico Trial Xian Zhong Zohaib Salahuddin Yi Chen Henry C. Woodruff H. Long ... Lili Chen Dongming Li Xiaoyan Xie Manxia Lin Philippe Lambin 39 1 0 07 Aug 2024
MicroXercise: A Micro-Level Comparative and Explainable System for Remote Physical Therapy Hanchen David Wang Nibraas Khan Anna Chen Nilanjan Sarkar Pamela Wisniewski Meiyi Ma 29 0 0 06 Aug 2024
An Explainable Fast Deep Neural Network for Emotion Recognition Francesco Di Luzio A. Rosato Massimo Panella CVBM 24 1 0 20 Jul 2024
AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans Gabriele Lozupone Alessandro Bria F. Fontanella C. D. Stefano 19 4 0 02 Jul 2024
Explaining Chest X-ray Pathology Models using Textual Concepts Vijay Sadashivaiah M. Kalra P. Yan James A. Hendler 19 0 0 30 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
Applications of interpretable deep learning in neuroimaging: a comprehensive review Lindsay Munroe Mariana da Silva Faezeh Heidari I. Grigorescu Simon Dahan E. C. Robinson Maria Deprez Po-Wah So AI4CE 39 5 0 30 May 2024
Convolutional Neural Network Model Observers Discount Signal-like Anatomical Structures During Search in Virtual Digital Breast Tomosynthesis Phantoms Aditya Jonnalagadda B. Barufaldi Andrew D. A. Maidment Susan P. Weinstein C. Abbey Miguel P. Eckstein MedIm 22 0 0 23 May 2024
ECOR: Explainable CLIP for Object Recognition Ali Rasekh Sepehr Kazemi Ranjbar Milad Heidari Wolfgang Nejdl VLM 38 4 0 19 Apr 2024
Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI Maryam Ahmed Tooba Bibi Rizwan Ahmed Khan Sidra Nasir 30 2 0 05 Apr 2024
Transformers-based architectures for stroke segmentation: A review Yalda Zafari-Ghadim Essam A. Rashed M. Mabrok MedIm 20 1 0 27 Mar 2024
Probing the Information Encoded in Neural-based Acoustic Models of Automatic Speech Recognition Systems Quentin Raymondaud Mickael Rouvier Richard Dufour 17 1 0 29 Feb 2024
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM I. Livieris Emmanuel G. Pintelas Niki Kiriakidou P. Pintelas FAtt 23 15 0 11 Oct 2023
Domain Generalization for Medical Image Analysis: A Survey Jee Seok Yoon Kwanseok Oh Yooseung Shin Maciej A Mazurowski Heung-Il Suk LM&MA OOD 35 4 0 05 Oct 2023
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models An Yan Yu-Xiang Wang Yiwu Zhong Zexue He Petros Karypis ... Chengyu Dong Amilcare Gentili Chun-Nan Hsu Jingbo Shang Julian McAuley 27 30 0 04 Oct 2023
Distance-Aware eXplanation Based Learning Misgina Tsighe Hagos Niamh Belton Kathleen M. Curran Brian Mac Namee FAtt 23 0 0 11 Sep 2023
A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy Michail Mamalakis Sarah C Macfarlane S. Notley A. Gad G. Panoutsos MedIm 23 5 0 02 Sep 2023
An explainable three dimension framework to uncover learning patterns: A unified look in variable sulci recognition Michail Mamalakis Héloïse de Vareilles Atheer AI-Manea Samantha C. Mitchell Ingrid Arartz ... Jane R. Garrison Jon S. Simons Pietro Lio' J. Suckling Graham K Murray 8 1 0 02 Sep 2023
Explainable AI applications in the Medical Domain: a systematic review Nicoletta Prentzas A. Kakas Constantinos S. Pattichis 16 11 0 10 Aug 2023
Explainable AI in Orthopedics: Challenges, Opportunities, and Prospects Soheyla Amirian Luke A. Carlson Matthew F. Gong I. Lohse K. Weiss J. Plate A. Tafti 16 3 0 09 Aug 2023
Fixing confirmation bias in feature attribution methods via semantic match Giovanni Cina Daniel Fernandez-Llaneza Ludovico Deponte Nishant Mishra Tabea E. Rober Sandro Pezzelle Iacer Calixto Rob Goedhart cS. .Ilker Birbil FAtt 19 0 0 03 Jul 2023
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation Ruitao Xie Jingbang Chen Limai Jiang Ru Xiao Yi-Lun Pan Yunpeng Cai GAN MedIm 19 0 0 12 Jun 2023
Using generative AI to investigate medical imagery models and datasets Oran Lang Doron Stupp I. Traynis Heather Cole-Lewis Chloe R. Bennett ... Avinatan Hassidim Yossi Matias Yun-hui Liu N. Hammel Boris Babenko MedIm 11 21 0 01 Jun 2023
A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images M. Campana Marco Colussi Franca Delmastro S. Mascetti Elena Pagani 13 10 0 29 May 2023
UPDExplainer: an Interpretable Transformer-based Framework for Urban Physical Disorder Detection Using Street View Imagery Chuanbo Hu Shan Jia Fan Zhang C. Xiao Mindi Ruan Jacob Thrasher Xin Li 23 10 0 04 May 2023
A Review of ChatGPT Applications in Education, Marketing, Software Engineering, and Healthcare: Benefits, Drawbacks, and Research Directions Mohammad Fraiwan Natheer Khasawneh 50 46 0 29 Apr 2023
Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives Shunsuke Kitada FaML HAI AI4CE 25 0 0 24 Mar 2023
A Test Statistic Estimation-based Approach for Establishing Self-interpretable CNN-based Binary Classifiers S. Sengupta M. Anastasio MedIm 28 6 0 13 Mar 2023
A Practical Upper Bound for the Worst-Case Attribution Deviations Fan Wang A. Kong AAML 44 4 0 01 Mar 2023
MDF-Net for abnormality detection by fusing X-rays with clinical data Chih-Jou Hsieh Isabel Blanco Nobre Sandra Costa Sousa Chun Ouyang M. Brereton Jacinto C. Nascimento Joaquim A. Jorge Catarina Moreira 13 8 0 26 Feb 2023
Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks Raluca Jalaboi Ole Winther A. Galimzianova FAtt 9 1 0 23 Feb 2023
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review Reza Azad A. Kazerouni Moein Heidari Ehsan Khodapanah Aghdam Amir Molaei Yiwei Jia Abin Jose Rijo Roy Dorit Merhof MedIm ViT 30 161 0 09 Jan 2023
Adversarial Attacks and Defences for Skin Cancer Classification Vinay Jogani J. Purohit Ishaan Shivhare Samina Attari S. Shrawne AAML MedIm 17 2 0 13 Dec 2022
Doubly Right Object Recognition: A Why Prompt for Visual Rationales Chengzhi Mao Revant Teotia Amrutha Sundar Sachit Menon Junfeng Yang Xin Eric Wang Carl Vondrick 13 29 0 12 Dec 2022
Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare Rob Procter P. Tolmie M. Rouncefield 11 31 0 29 Nov 2022
Attribution-based XAI Methods in Computer Vision: A Review Kumar Abhishek Deeksha Kamath 27 18 0 27 Nov 2022
On Explainability in AI-Solutions: A Cross-Domain Survey S. D. Antón Daniel Schneider Hans D. Schotten 11 2 0 11 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong A. Monroy-Hernández 36 107 0 02 Oct 2022
Learning When to Advise Human Decision Makers Gali Noti Yiling Chen 39 15 0 27 Sep 2022
Automatic Infectious Disease Classification Analysis with Concept Discovery Elena Sizikova Joshua Vendrow Xu Cao Rachel Grotheer Jamie Haddock ... Huy V. Vo Chuntian Wang Megan Coffee Kathryn Leonard Deanna Needell 20 4 0 28 Aug 2022
Replacing the Framingham-based equation for prediction of cardiovascular disease risk and adverse outcome by using artificial intelligence and retinal imaging E. Vaghefi D. Squirrell Songyang An Song Yang J. Marshall 10 0 0 17 Jul 2022