Explainable deep learning models in medical image analysis

28 May 2020

Amitojdeep Singh

S. Sengupta

Vasudevan Lakshminarayanan

XAI

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

46 / 96 papers shown

Title
Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators A. Watanabe Sara Ketabi Khashayar Namdar Namdar Farzad Khalvati 14 8 0 28 Jun 2022
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review Harold Brayan Arteaga-Arteaga Melissa delaPava Alejandro Mora-Rubio Mario Alejandro Bravo-Ortíz Jesús Alejandro Alzate-Grisales ... Simon Orozco-Arias M. Hassaballah South Valley University O. Cardona-Morales Valencia OOD 11 1 0 11 Jun 2022
ECLAD: Extracting Concepts with Local Aggregated Descriptors Andres Felipe Posada-Moreno N. Surya Sebastian Trimpe 20 13 0 09 Jun 2022
Multiple Instance Learning for Digital Pathology: A Review on the State-of-the-Art, Limitations & Future Potential M. Gadermayr M. Tschuchnig 24 60 0 09 Jun 2022
Future Artificial Intelligence tools and perspectives in medicine A. Chaddad Y. Katib Lama Hassan 13 8 0 04 Jun 2022
Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection Fan Wang A. Kong 61 10 0 15 May 2022
Explainable Deep Learning Methods in Medical Image Classification: A Survey Cristiano Patrício João C. Neves Luís F. Teixeira XAI 24 52 0 10 May 2022
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders Irem Cetin Maialen Stephens Oscar Camara M. A. G. Ballester DRL 32 39 0 20 Mar 2022
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements? Weina Jin Xiaoxiao Li Ghassan Hamarneh 27 51 0 12 Mar 2022
A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions Chamara Sandeepa Bartlomiej Siniarski N. Kourtellis Shen Wang Madhusanka Liyanage 29 21 0 08 Mar 2022
Self-supervised learning for analysis of temporal and morphological drug effects in cancer cell imaging data A. Dmitrenko M. M. Masiero N. Zamboni MedIm 13 8 0 07 Mar 2022
Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain Ola Hall Mattias Ohlsson Thortseinn Rögnvaldsson 14 8 0 02 Mar 2022
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising Dayang Wang Fenglei Fan Zhan Wu R. Liu Fei-Yue Wang Hengyong Yu ViT MedIm 21 121 0 28 Feb 2022
Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis Weina Jin Xiaoxiao Li M. Fatehi Ghassan Hamarneh ELM XAI 42 88 0 16 Feb 2022
DermX: an end-to-end framework for explainable automated dermatological diagnosis Raluca Jalaboi F. Faye Mauricio Orbes-Arteaga D. Jørgensen Ole Winther A. Galimzianova MedIm 11 17 0 14 Feb 2022
Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images Theofanis Ganitidis M. Athanasiou K. Dalakleidi Nikos Melanitis S. Golemati K. Nikita 6 3 0 04 Feb 2022
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks Dominik Muller Iñaki Soto Rey Frank Kramer 16 56 0 27 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 106 663 0 24 Jan 2022
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers Shuyue Guan Murray H. Loew 19 3 0 08 Jan 2022
A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images Yibin Wang Abdur Rahman W. Duggar P. R. Roberts T. V. Thomas L. Bian Haifeng Wang 29 6 0 03 Jan 2022
Scope and Sense of Explainability for AI-Systems Anastasia-Maria Leventi-Peetz T. Östreich Werner Lennartz Kai Weber 6 5 0 20 Dec 2021
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges Shen Wang M. Qureshi Luis Miralles-Pechuán Thien Huynh-The Thippa Reddy Gadekallu Madhusanka Liyanage 14 22 0 09 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 31 55 0 05 Dec 2021
Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasounds Li-Hsin Cheng Pablo Bosch Rutger F. H. Hofman Timo B. Brakenhoff E. F. Bruggemans R. Geest E. Holman 14 4 0 25 Oct 2021
Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation Jiahui Li Kun Kuang Lin Li Long Chen Songyang Zhang Jian Shao Jun Xiao FAtt 17 17 0 03 Sep 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies Dweep Trivedi Jesse Zhang Shao-Hua Sun Joseph J. Lim NAI 9 71 0 31 Aug 2021
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model Kwanseok Oh Jeeseok Yoon Heung-Il Suk FAtt 29 28 0 21 Aug 2021
Voxel-level Importance Maps for Interpretable Brain Age Estimation Kyriaki-Margarita Bintsi V. Baltatzis A. Hammers Daniel Rueckert 27 12 0 11 Aug 2021
Explainable AI: current status and future directions Prashant Gohel Priyanka Singh M. Mohanty XAI 79 87 0 12 Jul 2021
One Map Does Not Fit All: Evaluating Saliency Map Explanation on Multi-Modal Medical Images Weina Jin Xiaoxiao Li Ghassan Hamarneh FAtt 10 16 0 11 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 19 106 0 01 Jul 2021
Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey Vasudevan Lakshminarayanan Hoda Kheradfallah Arya Sarkar J. Balaji 37 74 0 30 Jun 2021
Counterfactual Graphs for Explainable Classification of Brain Networks Carlo Abrate Francesco Bonchi CML 22 54 0 16 Jun 2021
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 21 137 0 17 May 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 21 184 0 15 May 2021
R2U3D: Recurrent Residual 3D U-Net for Lung Segmentation Dhaval Kadia Md. Zahangir Alom Ranga Burada Tam V. Nguyen V. Asari 3DPC SSeg 13 10 0 05 May 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 15 315 0 19 Mar 2021
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations Ayman Al-Kababji F. Bensaali S. Dakua Yassine Himeur 31 21 0 10 Mar 2021
Rapid Classification of Glaucomatous Fundus Images Hardit Singh Simarjeet S. Saini Vasudevan Lakshminarayanan 17 7 0 08 Feb 2021
Uncertainty aware and explainable diagnosis of retinal disease Amitojdeep Singh S. Sengupta M. Rasheed Varadharajan Jayakumar Vasudevan Lakshminarayanan BDL 27 21 0 26 Jan 2021
MRI Images, Brain Lesions and Deep Learning D. Castillo Vasudevan Lakshminarayanan M. Rodríguez-Álvarez OOD 14 3 0 13 Jan 2021
Deep Learning for Medical Anomaly Detection -- A Survey Tharindu Fernando Harshala Gammulle Simon Denman S. Sridharan Clinton Fookes OOD 20 268 0 04 Dec 2020
Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems Adriano Lucieri Muhammad Naseer Bajwa Andreas Dengel Sheraz Ahmed 28 10 0 26 Nov 2020
Multimodal Research in Vision and Language: A Review of Current and Emerging Trends Shagun Uppal Sarthak Bhagat Devamanyu Hazarika Navonil Majumdar Soujanya Poria Roger Zimmermann Amir Zadeh 20 6 0 19 Oct 2020
Quantitative and Qualitative Evaluation of Explainable Deep Learning Methods for Ophthalmic Diagnosis Amitojdeep Singh J. Balaji M. Rasheed Varadharajan Jayakumar R. Raman Vasudevan Lakshminarayanan BDL XAI FAtt 4 29 0 26 Sep 2020
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis Li Zhang Mingliang Wang Mingxia Liu Daoqiang Zhang 21 153 0 10 May 2020