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

1 August 2020

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

6 / 6 papers shown

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 39 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
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
Interpretability of Machine Learning Methods Applied to Neuroimaging Elina Thibeau-Sutre S. Collin Ninon Burgos O. Colliot 16 4 0 14 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