168 related articles for article (PubMed ID: 31538277)
1. Three dimensional convolutional neural network-based classification of conduct disorder with structural MRI.
Zhang J; Li X; Li Y; Wang M; Huang B; Yao S; Shen L
Brain Imaging Behav; 2020 Dec; 14(6):2333-2340. PubMed ID: 31538277
[TBL] [Abstract][Full Text] [Related]
2. Multivoxel pattern analysis of structural MRI in children and adolescents with conduct disorder.
Zhang J; Cao W; Wang M; Wang N; Yao S; Huang B
Brain Imaging Behav; 2019 Oct; 13(5):1273-1280. PubMed ID: 30145719
[TBL] [Abstract][Full Text] [Related]
3. fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations.
Vu H; Kim HC; Jung M; Lee JH
Neuroimage; 2020 Dec; 223():117328. PubMed ID: 32896633
[TBL] [Abstract][Full Text] [Related]
4. Distinguishing Adolescents With Conduct Disorder From Typically Developing Youngsters Based on Pattern Classification of Brain Structural MRI.
Zhang J; Liu W; Zhang J; Wu Q; Gao Y; Jiang Y; Gao J; Yao S; Huang B
Front Hum Neurosci; 2018; 12():152. PubMed ID: 29740296
[No Abstract] [Full Text] [Related]
5. Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age.
Wahlang I; Maji AK; Saha G; Chakrabarti P; Jasinski M; Leonowicz Z; Jasinska E
Sensors (Basel); 2022 Feb; 22(5):. PubMed ID: 35270913
[TBL] [Abstract][Full Text] [Related]
6. Classification of schizophrenia and normal controls using 3D convolutional neural network and outcome visualization.
Oh K; Kim W; Shen G; Piao Y; Kang NI; Oh IS; Chung YC
Schizophr Res; 2019 Oct; 212():186-195. PubMed ID: 31395487
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Classification of pure conduct disorder from healthy controls based on indices of brain networks during resting state.
Zhang J; Liu Y; Luo R; Du Z; Lu F; Yuan Z; Zhou J; Li S
Med Biol Eng Comput; 2020 Sep; 58(9):2071-2082. PubMed ID: 32648090
[TBL] [Abstract][Full Text] [Related]
9. Estimating Gender and Age from Brain Structural MRI of Children and Adolescents: A 3D Convolutional Neural Network Multitask Learning Model.
Mendes SL; Pinaya WHL; Pan P; Sato JR
Comput Intell Neurosci; 2021; 2021():5550914. PubMed ID: 34122531
[TBL] [Abstract][Full Text] [Related]
10. A comparative study for glioma classification using deep convolutional neural networks.
Özcan H; Emiroğlu BG; Sabuncuoğlu H; Özdoğan S; Soyer A; Saygı T
Math Biosci Eng; 2021 Jan; 18(2):1550-1572. PubMed ID: 33757198
[TBL] [Abstract][Full Text] [Related]
11. Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model.
Saha S; Pagnozzi A; Bourgeat P; George JM; Bradford D; Colditz PB; Boyd RN; Rose SE; Fripp J; Pannek K
Neuroimage; 2020 Jul; 215():116807. PubMed ID: 32278897
[TBL] [Abstract][Full Text] [Related]
12. A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer's disease.
Liu M; Li F; Yan H; Wang K; Ma Y; ; Shen L; Xu M
Neuroimage; 2020 Mar; 208():116459. PubMed ID: 31837471
[TBL] [Abstract][Full Text] [Related]
13. Discriminative analysis of schizophrenia patients using an integrated model combining 3D CNN with 2D CNN: A multimodal MR image and connectomics analysis.
Guo H; Jian S; Zhou Y; Chen X; Chen J; Zhou J; Huang Y; Ma G; Li X; Ning Y; Wu F; Wu K
Brain Res Bull; 2024 Jan; 206():110846. PubMed ID: 38104672
[TBL] [Abstract][Full Text] [Related]
14. Automated MRI-Based Deep Learning Model for Detection of Alzheimer's Disease Process.
Feng W; Halm-Lutterodt NV; Tang H; Mecum A; Mesregah MK; Ma Y; Li H; Zhang F; Wu Z; Yao E; Guo X
Int J Neural Syst; 2020 Jun; 30(6):2050032. PubMed ID: 32498641
[TBL] [Abstract][Full Text] [Related]
15. An Efficient Multi-Scale Convolutional Neural Network Based Multi-Class Brain MRI Classification for SaMD.
Yazdan SA; Ahmad R; Iqbal N; Rizwan A; Khan AN; Kim DH
Tomography; 2022 Jul; 8(4):1905-1927. PubMed ID: 35894026
[TBL] [Abstract][Full Text] [Related]
16. Brain MRI analysis using a deep learning based evolutionary approach.
Shahamat H; Saniee Abadeh M
Neural Netw; 2020 Jun; 126():218-234. PubMed ID: 32259762
[TBL] [Abstract][Full Text] [Related]
17. Convolutional Neural Networks for Pediatric Refractory Epilepsy Classification Using Resting-State Functional Magnetic Resonance Imaging.
Nguyen RD; Kennady EH; Smyth MD; Zhu L; Pao LP; Swisher SK; Rosas A; Mitra A; Patel RP; Lankford J; Von Allmen G; Watkins MW; Funke ME; Shah MN
World Neurosurg; 2021 May; 149():e1112-e1122. PubMed ID: 33418117
[TBL] [Abstract][Full Text] [Related]
18. Deep convolutional neural network based hyperspectral brain tissue classification.
Poonkuzhali P; Helen Prabha K
J Xray Sci Technol; 2023; 31(4):777-796. PubMed ID: 37182861
[TBL] [Abstract][Full Text] [Related]
19. Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls.
Hu M; Sim K; Zhou JH; Jiang X; Guan C
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1742-1745. PubMed ID: 33018334
[TBL] [Abstract][Full Text] [Related]
20. Multimodal MRI-Based Whole-Brain Assessment in Patients In Anoxoischemic Coma by Using 3D Convolutional Neural Networks.
Mattia GM; Sarton B; Villain E; Vinour H; Ferre F; Buffieres W; Le Lann MV; Franceries X; Peran P; Silva S
Neurocrit Care; 2022 Aug; 37(Suppl 2):303-312. PubMed ID: 35876960
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
