An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery

1 August 2020

Pavan Rajkumar Magesh

Richard Delwin Myloth

Rijo Jackson Tom

FAtt

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Papers citing "An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery"

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Title
Deep Convolutional Neural Networks on Multiclass Classification of Three-Dimensional Brain Images for Parkinson's Disease Stage Prediction Guan-Hua Huang Wan-Chen Lai Tai-Been Chen Chien-Chin Hsu Huei-Yung Chen Yi-Chen Wu Li-Ren Yeh MedIm 44 2 0 31 Oct 2024
Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data Suryansh Vidya Kush Gupta Amir Aly Andy Wills Emmanuel Ifeachor Rohit Shankar 47 1 0 19 Sep 2024
The Role of Explainable AI in Revolutionizing Human Health Monitoring: A Review Abdullah Alharthi Ahmed Alqurashi Turki Alharbi Mohammed Alammar Nasser Aldosari Houssem Bouchekara Yusuf Shaaban Mohammad Shoaib Shahriar Abdulrahman Al Ayidh 42 0 0 11 Sep 2024
Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment Yong-Hyun Park Junghoon Seo Bomseok Park Seongsu Lee Junghyo Jo AAML 37 0 0 17 Jul 2024
Shaping History: Advanced Machine Learning Techniques for the Analysis and Dating of Cuneiform Tablets over Three Millennia Danielle Kapon Michael Fire S. Gordin 36 1 0 06 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 44 5 0 30 May 2024
A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment Alwani Liyana Ahmad Jose Sanchez-Bornot R. Sotero Damien Coyle Zamzuri Idris Ibrahima Faye 27 2 0 29 May 2024
Forward Learning for Gradient-based Black-box Saliency Map Generation Zeliang Zhang Mingqian Feng Jinyang Jiang Rongyi Zhu Yijie Peng Chenliang Xu FAtt 34 2 0 22 Mar 2024
XAI meets Biology: A Comprehensive Review of Explainable AI in Bioinformatics Applications Zhongliang Zhou Mengxuan Hu Mariah Salcedo Nathan Gravel Wayland Yeung Aarya Venkat Dongliang Guo Jielu Zhang N. Kannan Sheng Li 30 6 0 11 Dec 2023
Evaluating the Reliability of CNN Models on Classifying Traffic and Road Signs using LIME Md. Atiqur Rahman Ahmed Saad Tanim Sanjid Islam Fahim Pranto G. M. Shahariar Rouf Shawon FAtt 11 0 0 11 Sep 2023
Debiasing Counterfactuals In the Presence of Spurious Correlations Amar Kumar Nima Fathi Raghav Mehta Brennan Nichyporuk Jean-Pierre Falet Sotirios A. Tsaftaris Tal Arbel CML MedIm 19 3 0 21 Aug 2023
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities Munib Mesinovic Peter Watkinson Ting Zhu FaML 19 3 0 16 Aug 2023
PD-ADSV: An Automated Diagnosing System Using Voice Signals and Hard Voting Ensemble Method for Parkinson's Disease Paria Ghaheri Ahmadreza Shateri H. Nasiri 35 7 0 11 Apr 2023
A Brief Review of Explainable Artificial Intelligence in Healthcare Zahra Sadeghi R. Alizadehsani M. Cifci Samina Kausar Rizwan Rehman ... A. Shoeibi H. Moosaei Milan Hladík Saeid Nahavandi P. Pardalos 19 13 0 04 Apr 2023
A Survey on Explainable Artificial Intelligence for Cybersecurity Gaith Rjoub Jamal Bentahar Omar Abdel Wahab R. Mizouni Alyssa Song Robin Cohen Hadi Otrok Azzam Mourad 15 27 0 07 Mar 2023
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine A. Chaddad Qizong Lu Jiali Li Y. Katib R. Kateb C. Tanougast Ahmed Bouridane Ahmed Abdulkadir OOD 24 38 0 17 Nov 2022
Diagnosis of Parkinson's Disease Based on Voice Signals Using SHAP and Hard Voting Ensemble Method Paria Ghaheri H. Nasiri Ahmadreza Shateri Arman Homafar 24 15 0 03 Oct 2022
Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP Benjamin Ledel Steffen Herbold FAtt 35 4 0 15 Sep 2022
Explainable Deep Learning Methods in Medical Image Classification: A Survey Cristiano Patrício João C. Neves Luís F. Teixeira XAI 24 53 0 10 May 2022
Interpretability of Machine Learning Methods Applied to Neuroimaging Elina Thibeau-Sutre S. Collin Ninon Burgos O. Colliot 16 4 0 14 Apr 2022
DT2CAM: A Decision Tree to Content Addressable Memory Framework M. Rakka M. Fouda R. Kanj Fadi J. Kurdahi 9 1 0 12 Apr 2022
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 24 303 0 01 Nov 2021