33297814 35419720 35569333 31698238 34421570 34798407 32500373 32582013 31077314 33444253 33942449 34864679 33815092 35741636 35884728 33471766 35832401 33808109 35712004 31543860 36481760 33101173 33307047 34630270 35289025 34583745 34723463 3525375 - Search Results

Year	Number of Results
2019	5
2020	12
2021	21
2022	24
2023	1

1

Identifying brain functional connectivity alterations during different stages of Alzheimer's disease.

Ahmadi H, Fatemizadeh E, Motie-Nasrabadi A. Ahmadi H, et al. Int J Neurosci. 2022 Oct;132(10):1005-1013. doi: 10.1080/00207454.2020.1860037. Epub 2020 Dec 21. Int J Neurosci. 2022. PMID: 33297814

2

Predicting conversion from MCI to AD by integration of rs-fMRI and clinical information using 3D-convolutional neural network.

Ghafoori S, Shalbaf A. Ghafoori S, et al. Int J Comput Assist Radiol Surg. 2022 Jul;17(7):1245-1255. doi: 10.1007/s11548-022-02620-4. Epub 2022 Apr 13. Int J Comput Assist Radiol Surg. 2022. PMID: 35419720

3

An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works.

Sadeghi D, Shoeibi A, Ghassemi N, Moridian P, Khadem A, Alizadehsani R, Teshnehlab M, Gorriz JM, Khozeimeh F, Zhang YD, Nahavandi S, Acharya UR. Sadeghi D, et al. Comput Biol Med. 2022 Jul;146:105554. doi: 10.1016/j.compbiomed.2022.105554. Epub 2022 May 10. Comput Biol Med. 2022. PMID: 35569333 Review.

4

Granger causality analysis in combination with directed network measures for classification of MS patients and healthy controls using task-related fMRI.

Azarmi F, Miri Ashtiani SN, Shalbaf A, Behnam H, Daliri MR. Azarmi F, et al. Comput Biol Med. 2019 Dec;115:103495. doi: 10.1016/j.compbiomed.2019.103495. Epub 2019 Oct 13. Comput Biol Med. 2019. PMID: 31698238

5

Predicting MCI to AD Conversation Using Integrated sMRI and rs-fMRI: Machine Learning and Graph Theory Approach.

Zhang T, Liao Q, Zhang D, Zhang C, Yan J, Ngetich R, Zhang J, Jin Z, Li L. Zhang T, et al. Front Aging Neurosci. 2021 Jul 30;13:688926. doi: 10.3389/fnagi.2021.688926. eCollection 2021. Front Aging Neurosci. 2021. PMID: 34421570 Free PMC article.

6

Ranking convolutional neural network for Alzheimer's disease mini-mental state examination prediction at multiple time-points.

Qiao H, Chen L, Zhu F. Qiao H, et al. Comput Methods Programs Biomed. 2022 Jan;213:106503. doi: 10.1016/j.cmpb.2021.106503. Epub 2021 Nov 6. Comput Methods Programs Biomed. 2022. PMID: 34798407

7

A novel conversion prediction method of MCI to AD based on longitudinal dynamic morphological features using ADNI structural MRIs.

Guo M, Li Y, Zheng W, Huang K, Zhou L, Hu X, Yao Z, Hu B. Guo M, et al. J Neurol. 2020 Oct;267(10):2983-2997. doi: 10.1007/s00415-020-09890-5. Epub 2020 Jun 4. J Neurol. 2020. PMID: 32500373

8

Potential New Approaches for Diagnosis of Alzheimer's Disease and Related Dementias.

Turner RS, Stubbs T, Davies DA, Albensi BC. Turner RS, et al. Front Neurol. 2020 Jun 5;11:496. doi: 10.3389/fneur.2020.00496. eCollection 2020. Front Neurol. 2020. PMID: 32582013 Free PMC article. Review.

9

A highly predictive signature of cognition and brain atrophy for progression to Alzheimer's dementia.

Tam A, Dansereau C, Iturria-Medina Y, Urchs S, Orban P, Sharmarke H, Breitner J, Bellec P; Alzheimer's Disease Neuroimaging Initiative. Tam A, et al. Gigascience. 2019 May 1;8(5):giz055. doi: 10.1093/gigascience/giz055. Gigascience. 2019. PMID: 31077314 Free PMC article.

10

Multiclass classification of patients during different stages of Alzheimer's disease using fMRI time-series.

Ahmadi H, Fatemizadeh E, Motie-Nasrabadi A. Ahmadi H, et al. Biomed Phys Eng Express. 2020 Sep 8;6(5):055022. doi: 10.1088/2057-1976/abaf5e. Biomed Phys Eng Express. 2020. PMID: 33444253

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