433 related articles for article (PubMed ID: 30167371)
1. Structural neuroimaging as clinical predictor: A review of machine learning applications.
Mateos-Pérez JM; Dadar M; Lacalle-Aurioles M; Iturria-Medina Y; Zeighami Y; Evans AC
Neuroimage Clin; 2018; 20():506-522. PubMed ID: 30167371
[TBL] [Abstract][Full Text] [Related]
2. A survey on machine and statistical learning for longitudinal analysis of neuroimaging data in Alzheimer's disease.
Martí-Juan G; Sanroma-Guell G; Piella G
Comput Methods Programs Biomed; 2020 Jun; 189():105348. PubMed ID: 31995745
[TBL] [Abstract][Full Text] [Related]
3. Use of Magnetic Resonance Imaging and Artificial Intelligence in Studies of Diagnosis of Parkinson's Disease.
Xu J; Zhang M
ACS Chem Neurosci; 2019 Jun; 10(6):2658-2667. PubMed ID: 31083923
[TBL] [Abstract][Full Text] [Related]
4. Machine learning studies on major brain diseases: 5-year trends of 2014-2018.
Sakai K; Yamada K
Jpn J Radiol; 2019 Jan; 37(1):34-72. PubMed ID: 30498877
[TBL] [Abstract][Full Text] [Related]
5. Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes.
Wang Y; Xu C; Park JH; Lee S; Stern Y; Yoo S; Kim JH; Kim HS; Cha J;
Neuroimage Clin; 2019; 23():101859. PubMed ID: 31150957
[TBL] [Abstract][Full Text] [Related]
6. Neuroimaging and Machine Learning for Dementia Diagnosis: Recent Advancements and Future Prospects.
Ahmed MR; Zhang Y; Feng Z; Lo B; Inan OT; Liao H
IEEE Rev Biomed Eng; 2019; 12():19-33. PubMed ID: 30561351
[TBL] [Abstract][Full Text] [Related]
7. Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment.
Liu M; Zhang D; Shen D
IEEE Trans Med Imaging; 2016 Jun; 35(6):1463-74. PubMed ID: 26742127
[TBL] [Abstract][Full Text] [Related]
8. Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases.
Casanova R; Barnard RT; Gaussoin SA; Saldana S; Hayden KM; Manson JE; Wallace RB; Rapp SR; Resnick SM; Espeland MA; Chen JC;
Neuroimage; 2018 Dec; 183():401-411. PubMed ID: 30130645
[TBL] [Abstract][Full Text] [Related]
9. Image-based state-of-the-art techniques for the identification and classification of brain diseases: a review.
Haq EU; Huang J; Kang L; Haq HU; Zhan T
Med Biol Eng Comput; 2020 Nov; 58(11):2603-2620. PubMed ID: 32960410
[TBL] [Abstract][Full Text] [Related]
10. Inexpensive, non-invasive biomarkers predict Alzheimer transition using machine learning analysis of the Alzheimer's Disease Neuroimaging (ADNI) database.
Beltrán JF; Wahba BM; Hose N; Shasha D; Kline RP;
PLoS One; 2020; 15(7):e0235663. PubMed ID: 32716914
[TBL] [Abstract][Full Text] [Related]
11. Translational machine learning for psychiatric neuroimaging.
Walter M; Alizadeh S; Jamalabadi H; Lueken U; Dannlowski U; Walter H; Olbrich S; Colic L; Kambeitz J; Koutsouleris N; Hahn T; Dwyer DB
Prog Neuropsychopharmacol Biol Psychiatry; 2019 Apr; 91():113-121. PubMed ID: 30290208
[TBL] [Abstract][Full Text] [Related]
12. Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling.
Deng M; Yu R; Wang L; Shi F; Yap PT; Shen D;
Med Phys; 2016 Dec; 43(12):6588-6597. PubMed ID: 28054724
[TBL] [Abstract][Full Text] [Related]
13. Voxel-Based Morphometry: Improving the Diagnosis of Alzheimer's Disease Based on an Extreme Learning Machine Method from the ADNI cohort.
Zhang F; Tian S; Chen S; Ma Y; Li X; Guo X
Neuroscience; 2019 Aug; 414():273-279. PubMed ID: 31102761
[TBL] [Abstract][Full Text] [Related]
14. Addressing Confounding in Predictive Models with an Application to Neuroimaging.
Linn KA; Gaonkar B; Doshi J; Davatzikos C; Shinohara RT
Int J Biostat; 2016 May; 12(1):31-44. PubMed ID: 26641972
[TBL] [Abstract][Full Text] [Related]
15. Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data.
Samper-González J; Burgos N; Bottani S; Fontanella S; Lu P; Marcoux A; Routier A; Guillon J; Bacci M; Wen J; Bertrand A; Bertin H; Habert MO; Durrleman S; Evgeniou T; Colliot O; ;
Neuroimage; 2018 Dec; 183():504-521. PubMed ID: 30130647
[TBL] [Abstract][Full Text] [Related]
16. Machine Learning for Predicting Cognitive Diseases: Methods, Data Sources and Risk Factors.
Bratić B; Kurbalija V; Ivanović M; Oder I; Bosnić Z
J Med Syst; 2018 Oct; 42(12):243. PubMed ID: 30368611
[TBL] [Abstract][Full Text] [Related]
17. Analysis of structural brain MRI and multi-parameter classification for Alzheimer's disease.
Zhang Y; Liu S
Biomed Tech (Berl); 2018 Jul; 63(4):427-437. PubMed ID: 28622141
[TBL] [Abstract][Full Text] [Related]
18. Neuroimaging for the Neurologist: Clinical MRI and Future Trends.
Pinter NK; Fritz JV
Neurol Clin; 2020 Feb; 38(1):1-35. PubMed ID: 31761054
[TBL] [Abstract][Full Text] [Related]
19. Early-Stage Identification and Pathological Development of Alzheimer's Disease Using Multimodal MRI.
Yan T; Wang Y; Weng Z; Du W; Liu T; Chen D; Li X; Wu J; Han Y
J Alzheimers Dis; 2019; 68(3):1013-1027. PubMed ID: 30958352
[TBL] [Abstract][Full Text] [Related]
20. Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease.
Shi J; Zheng X; Li Y; Zhang Q; Ying S
IEEE J Biomed Health Inform; 2018 Jan; 22(1):173-183. PubMed ID: 28113353
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
