124 related articles for article (PubMed ID: 31944949)
21. A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments.
Sivera R; Delingette H; Lorenzi M; Pennec X; Ayache N;
Neuroimage; 2019 Sep; 198():255-270. PubMed ID: 31121298
[TBL] [Abstract][Full Text] [Related]
22. Hippocampus Segmentation Based on Iterative Local Linear Mapping With Representative and Local Structure-Preserved Feature Embedding.
Pang S; Lu Z; Jiang J; Zhao L; Lin L; Li X; Lian T; Huang M; Yang W; Feng Q
IEEE Trans Med Imaging; 2019 Oct; 38(10):2271-2280. PubMed ID: 30908202
[TBL] [Abstract][Full Text] [Related]
23. Dual-functional neural network for bilateral hippocampi segmentation and diagnosis of Alzheimer's disease.
Sun J; Yan S; Song C; Han B
Int J Comput Assist Radiol Surg; 2020 Mar; 15(3):445-455. PubMed ID: 31883064
[TBL] [Abstract][Full Text] [Related]
24. A novel method and software for automatically classifying Alzheimer's disease patients by magnetic resonance imaging analysis.
Previtali F; Bertolazzi P; Felici G; Weitschek E
Comput Methods Programs Biomed; 2017 May; 143():89-95. PubMed ID: 28391822
[TBL] [Abstract][Full Text] [Related]
25. Slice-selective learning for Alzheimer's disease classification using a generative adversarial network: a feasibility study of external validation.
Kim HW; Lee HE; Lee S; Oh KT; Yun M; Yoo SK
Eur J Nucl Med Mol Imaging; 2020 Aug; 47(9):2197-2206. PubMed ID: 31980910
[TBL] [Abstract][Full Text] [Related]
26. Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks.
Li F; Liu M;
Comput Med Imaging Graph; 2018 Dec; 70():101-110. PubMed ID: 30340094
[TBL] [Abstract][Full Text] [Related]
27. Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images.
Sun L; Shao W; Zhang D; Liu M
IEEE Trans Med Imaging; 2020 Jun; 39(6):2000-2012. PubMed ID: 31899417
[TBL] [Abstract][Full Text] [Related]
28. Shape Information Improves the Cross-Cohort Performance of Deep Learning-Based Segmentation of the Hippocampus.
Brusini I; Lindberg O; Muehlboeck JS; Smedby Ö; Westman E; Wang C
Front Neurosci; 2020; 14():15. PubMed ID: 32226359
[TBL] [Abstract][Full Text] [Related]
29. Standardization of hippocampus volumetry using automated brain structure volumetry tool for an initial Alzheimer's disease imaging biomarker.
Abrigo J; Shi L; Luo Y; Chen Q; Chu WCW; Mok VCT;
Acta Radiol; 2019 Jun; 60(6):769-776. PubMed ID: 30185071
[TBL] [Abstract][Full Text] [Related]
30. Improving Alzheimer's Disease Classification by Combining Multiple Measures.
Liu J; Wang J; Tang Z; Hu B; Wu FX; Pan Y
IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(5):1649-1659. PubMed ID: 28749356
[TBL] [Abstract][Full Text] [Related]
31. Discriminative multi-task feature selection for multi-modality classification of Alzheimer's disease.
Ye T; Zu C; Jie B; Shen D; Zhang D;
Brain Imaging Behav; 2016 Sep; 10(3):739-49. PubMed ID: 26311394
[TBL] [Abstract][Full Text] [Related]
32. Alzheimer's disease diagnosis on structural MR images using circular harmonic functions descriptors on hippocampus and posterior cingulate cortex.
Ben Ahmed O; Mizotin M; Benois-Pineau J; Allard M; Catheline G; Ben Amar C;
Comput Med Imaging Graph; 2015 Sep; 44():13-25. PubMed ID: 26069906
[TBL] [Abstract][Full Text] [Related]
33. A Combined Deep-Learning and Lattice Boltzmann Model for Segmentation of the Hippocampus in MRI.
Liu Y; Yan Z
Sensors (Basel); 2020 Jun; 20(13):. PubMed ID: 32605230
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Hippocampus Analysis by Combination of 3-D DenseNet and Shapes for Alzheimer's Disease Diagnosis.
Cui R; Liu M
IEEE J Biomed Health Inform; 2019 Sep; 23(5):2099-2107. PubMed ID: 30475734
[TBL] [Abstract][Full Text] [Related]
36. Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases.
Iglesias JE; Van Leemput K; Augustinack J; Insausti R; Fischl B; Reuter M;
Neuroimage; 2016 Nov; 141():542-555. PubMed ID: 27426838
[TBL] [Abstract][Full Text] [Related]
37. 3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images.
Li X; Dou Q; Chen H; Fu CW; Qi X; Belavý DL; Armbrecht G; Felsenberg D; Zheng G; Heng PA
Med Image Anal; 2018 Apr; 45():41-54. PubMed ID: 29414435
[TBL] [Abstract][Full Text] [Related]
38. A Novel Deep Learning Approach with a 3D Convolutional Ladder Network for Differential Diagnosis of Idiopathic Normal Pressure Hydrocephalus and Alzheimer's Disease.
Irie R; Otsuka Y; Hagiwara A; Kamagata K; Kamiya K; Suzuki M; Wada A; Maekawa T; Fujita S; Kato S; Nakajima M; Miyajima M; Motoi Y; Abe O; Aoki S
Magn Reson Med Sci; 2020 Dec; 19(4):351-358. PubMed ID: 31969525
[TBL] [Abstract][Full Text] [Related]
39. A 3D densely connected convolution neural network with connection-wise attention mechanism for Alzheimer's disease classification.
Zhang J; Zheng B; Gao A; Feng X; Liang D; Long X
Magn Reson Imaging; 2021 May; 78():119-126. PubMed ID: 33588019
[TBL] [Abstract][Full Text] [Related]
40. Alzheimer disease detection from structural MR images using FCM based weighted probabilistic neural network.
Duraisamy B; Shanmugam JV; Annamalai J
Brain Imaging Behav; 2019 Feb; 13(1):87-110. PubMed ID: 29460167
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
