Adelina C (2019) The costs of Dementia: advocacy, media, and stigma. Alzheimer’s Disease Int World Alzheimer Repository 100–1

Amoroso N, La Rocca M, Monaco A, Bellotti R, Tangaro S (2018) Complex networks reveal early MRI markers of Parkinson’s disease. Med Image Anal 48:12–24

Article  PubMed  Google Scholar 

Balaji E, Brindha D, Elumalai VK, Vikrama R (2021) Automatic and non-invasive Parkinson’s disease diagnosis and severity rating using LSTM network. Appl Soft Comput 108:107463

Article  Google Scholar 

Bishop CM, Nasrabadi NM (2006) Pattern recognition and machine learning, 4(4):738), New York: springer

Chaki J, Wozniak M (2023) Deep learning for neurodegenerative disorder (2016 to 2022): a systematic review. Biomed Signal Process Control 80:104223

Article  Google Scholar 

Chakraborty S, Aich S, Kim HC (2020) Detection of Parkinson’s disease from 3T T1 weighted MRI scans using 3D convolutional neural network. Diagnostics 10(6):402

Article  PubMed  PubMed Central  Google Scholar 

Cui R, Liu M, Initiative ADN (2019) RNN-based longitudinal analysis for diagnosis of Alzheimer’s disease. Comput Med Imag Graph 73:1–10

Article  Google Scholar 

El-Sappagh S, Saleh H et al (2021) Alzheimer’s disease progression detection model based on an early fusion of cost-effective multimodal data. Futur Gener Comput Syst 115:680–699

Article  Google Scholar 

Erro R, Schneider S, Stamelou M (2016) What do patients with scans without evidence of dopaminergic deficit (SWEDD) have? New evidence and continuing controversies. J Neurol Neurosurg Psychiatry 87:319–323

Article  PubMed  Google Scholar 

Fathi S, Ahmadi M, Dehnad A (2022) Early diagnosis of Alzheimer’s disease based on deep learning: a systematic review. Computers Biol Med. https://doi.org/10.1016/j.compbiomed.2022.105634

Article  Google Scholar 

Fathi S, Ahmadi A et al (2023) A deep learning-based ensemble method for early diagnosis of Alzheimer’s disease using MRI images

Fox SH, Katzenschlager R et al (2011) The movement disorder society evidence-based medicine review update: treatments for the motor symptoms of Parkinson’s disease. Mov Disord. https://doi.org/10.1002/mds.23829

Article  PubMed  PubMed Central  Google Scholar 

Goodfellow I, Bengio Y, Courville A (2016) Deep learning. MIT press

Gupta D, Rani R (2020) Improving malware detection using big data and ensemble learning. Comput Electr Eng 86:106729

Article  Google Scholar 

He K, Zhang X, Ren S, Sun J (2016) Identity mappings in deep residual networks. In Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part IV 14, Springer International Publishing, 630–645

Hou Y, Dan X, Babbar M et al (2019) Ageing as a risk factor for neurodegenerative disease. Nat Rev Neurol 15:565–581

Article  PubMed  Google Scholar 

Islam J, Zhang Y (2018) Brain MRI analysis for Alzheimer’s disease diagnosis using an ensemble system of deep convolutional neural networks. Brain Inform 5:1–14

Article  CAS  Google Scholar 

Kaur S, Aggarwal H, Rani R (2021) Diagnosis of Parkinson’s disease using deep CNN with transfer learning and data augmentation. Multimedia Tools Appl 80(7):10113–10139

Article  Google Scholar 

Kruthika KR, Maheshappa HD, Initiative ADN (2019a) Multistage classifier-based approach for Alzheimer’s disease prediction and retrieval. Inform Med Unlock 14:34–42

Article  Google Scholar 

Kruthika KR, Maheshappa HD, Initiative ADN (2019b) CBIR system using Capsule Networks and 3D CNN for Alzheimer’s disease diagnosis. Inform Med Unlock 14:59–68

Article  Google Scholar 

Kuncheva LI (2014) Combining pattern classifiers: methods and algorithms. John Wiley & Sons

Book  Google Scholar 

Lakshmi TS, Ramani BL et al. (2022) An ensemble model to detect Parkinson’s disease using MRI images. In Intelligent System Design: Proceedings of INDIA 2022, Singapore: Springer Nature Singapore, 465–473

Lei B, Zhao Y, Huang Z, Hao X et al (2020) Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis. Med Image Anal 61:101632

Article  PubMed  Google Scholar 

Li A, Li F, Elahifasaee F, Liu M, Zhang L, and Alzheimer’s Disease Neuroimaging Initiative (2021) Hippocampal shape and asymmetry analysis by cascaded convolutional neural networks for Alzheimer’s disease diagnosis. Brain Imag Behav 1–10

Loh HW, Ooi CP et al (2021) GaborPDNet: Gabor transformation and deep neural network for Parkinson’s disease detection using EEG signals. Electronics 10(14):1740

Article  Google Scholar 

Madan Y, Veetil IK et al. (2022, April) Synthetic Data Augmentation of MRI using Generative Variational Autoencoder for Parkinson’s Disease Detection. In Evolution in Computational Intelligence: Proceedings of the 9th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2021), Singapore: Springer Nature Singapore, 171–178

Martin T, Peralta M et al (2021) Extending convolutional neural networks for localizing the subthalamic nucleus from micro-electrode recordings in Parkinson’s disease. Biomed Signal Process Control 67:102529

Article  Google Scholar 

Mehmood A, Yang S et al (2021) A transfer learning approach for early diagnosis of Alzheimer’s disease on MRI images. Neuroscience 460:43–52

Article  PubMed  CAS  Google Scholar 

Mostafa TA, Cheng I (2020) Parkinson’s disease detection using ensemble architecture from MR images. In 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), IEEE, 987–992

Nanni L, Brahnam S, Salvatore C, Castiglioni I, Initiative ADN (2019) Texture descriptors and voxels for the early diagnosis of Alzheimer’s disease. Artif Intell Med 97:19–26

Article  PubMed  Google Scholar 

Nawaz H, Maqsood M et al (2021) A deep feature-based real-time system for Alzheimer disease stage detection. Multimedia Tools Appl 80:35789–35807

Article  Google Scholar 

Nguyen D, Nguyen H, Ong H, Le H et al (2022) Ensemble learning using traditional machine learning and deep neural network for diagnosis of Alzheimer’s disease. IBRO Neurosci Rep 13:255–263

Article  PubMed  PubMed Central  CAS  Google Scholar 

Olanow C, Schapira A, Obeso J (2015) Parkinson’s disease and other movement disorders. In Harrison’s Principles of Internal Medicine, 19th ed.; McGraw-Hill Education: New York, NY, USA, 2609–2626

Pearce N, Kromhout H (2014) Neurodegenerative disease: the next occupational disease epidemic? Occup Environ Med 71(9):594–595

Article  PubMed  Google Scholar 

Poewe W, Seppi K et al (2017) Parkinson’s disease. Nat Rev Dis Prim. https://doi.org/10.1038/nrdp.2017.13

Article  PubMed  Google Scholar 

Pulido MLB, Hernandez JBA, Ballester MAF, González CMT, Mekyska J, Smékal Z (2020) Alzheimer’s disease and automatic speech analysis: a review. Expert Syst Appl 150:113213

Article  Google Scholar 

Rajanbabu K, Veetil IK, Sowmya V, Gopalakrishnan EA, Soman KP (2022) Ensemble of Deep Transfer Learning Models for Parkinson’s Disease Classification. In Soft Computing and Signal Processing: Proceedings of 3rd ICSCSP 2020, Volume 2, Springer Singapore, 135–143

Rajasree RS, Brintha Rajakumari S (2023) Ensemble-of-classifiers-based approach for early Alzheimer’s Disease detection. Multimedia Tools Appl 1–29

Rojas-Valenzuela I, Valenzuela O, Delgado-Marquez E, Rojas F (2022) Multi-class classifier in Parkinson’s disease using an evolutionary multi-objective optimization algorithm. Appl Sci 12(6):3048

Article  CAS  Google Scholar 

Ruiz J, Mahmud M et al. (2020) 3D DenseNet ensemble in 4-way classification of Alzheimer’s disease. In Brain Informatics: 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings 13, Springer International Publishing, 85–96

Sifre L, Mallat S (2014) Rigid-motion scattering for texture classification. arXiv preprint arXiv:1403.1687

Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556

Sivaranjini S, Sujatha CM (2020) Deep learning-based diagnosis of Parkinson’s disease using convolutional neural network. Multimedia Tools Appl 79(21):15467–15479

Article  Google Scholar 

Wang X, Zhen X, Li Q, Shen D, Huang H (2018) Cognitive assessment prediction in Alzheimer’s disease by multi-layer multi-target regression. Neuroinformatics 16(3–4):285–294

Article  PubMed  PubMed Central  Google Scholar 

Wen J, Thibeau-Sutre E, Diaz-Melo M, Samper-Gonzalez J, Routlier A, Bottani S, Initiative ADN (2020) Convolutional neural networks for classification of Alzheimer’s disease: overview and reproducible evaluation. Med Image Anal 63:101694

Article  PubMed  Google Scholar 

World Health Organization (2006) Neurological disorders: public health challenges. World Health Organization

Zhang X, Han L, Zhu W, Sun L, Zhang D (2021) An explainable 3D residual self-attention deep neural network for joint atrophy localization and Alzheimer’s disease diagnosis using structural MRI. IEEE J Biomed Health Inform 26(11):5289–5297

Article  Google Scholar