688 related articles for article (PubMed ID: 30395218)
21. A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks.
Ceschin R; Zahner A; Reynolds W; Gaesser J; Zuccoli G; Lo CW; Gopalakrishnan V; Panigrahy A
Neuroimage; 2018 Sep; 178():183-197. PubMed ID: 29793060
[TBL] [Abstract][Full Text] [Related]
22. Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.
He T; Kong R; Holmes AJ; Nguyen M; Sabuncu MR; Eickhoff SB; Bzdok D; Feng J; Yeo BTT
Neuroimage; 2020 Feb; 206():116276. PubMed ID: 31610298
[TBL] [Abstract][Full Text] [Related]
23. TEM virus images: Benchmark dataset and deep learning classification.
Matuszewski DJ; Sintorn IM
Comput Methods Programs Biomed; 2021 Sep; 209():106318. PubMed ID: 34375851
[TBL] [Abstract][Full Text] [Related]
24. Transfer of Learning from Vision to Touch: A Hybrid Deep Convolutional Neural Network for Visuo-Tactile 3D Object Recognition.
Rouhafzay G; Cretu AM; Payeur P
Sensors (Basel); 2020 Dec; 21(1):. PubMed ID: 33375400
[TBL] [Abstract][Full Text] [Related]
25. MRI Gibbs-ringing artifact reduction by means of machine learning using convolutional neural networks.
Zhang Q; Ruan G; Yang W; Liu Y; Zhao K; Feng Q; Chen W; Wu EX; Feng Y
Magn Reson Med; 2019 Dec; 82(6):2133-2145. PubMed ID: 31373061
[TBL] [Abstract][Full Text] [Related]
26. A Multi-Domain Connectome Convolutional Neural Network for Identifying Schizophrenia From EEG Connectivity Patterns.
Phang CR; Noman F; Hussain H; Ting CM; Ombao H
IEEE J Biomed Health Inform; 2020 May; 24(5):1333-1343. PubMed ID: 31536026
[TBL] [Abstract][Full Text] [Related]
27. Domain- and task-specific transfer learning for medical segmentation tasks.
Zoetmulder R; Gavves E; Caan M; Marquering H
Comput Methods Programs Biomed; 2022 Feb; 214():106539. PubMed ID: 34875512
[TBL] [Abstract][Full Text] [Related]
28. Cumulative learning enables convolutional neural network representations for small mass spectrometry data classification.
Seddiki K; Saudemont P; Precioso F; Ogrinc N; Wisztorski M; Salzet M; Fournier I; Droit A
Nat Commun; 2020 Nov; 11(1):5595. PubMed ID: 33154370
[TBL] [Abstract][Full Text] [Related]
29. Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasks.
Jang H; Plis SM; Calhoun VD; Lee JH
Neuroimage; 2017 Jan; 145(Pt B):314-328. PubMed ID: 27079534
[TBL] [Abstract][Full Text] [Related]
30. Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture.
Meszlényi RJ; Buza K; Vidnyánszky Z
Front Neuroinform; 2017; 11():61. PubMed ID: 29089883
[TBL] [Abstract][Full Text] [Related]
31. Evaluation on the generalization of a learned convolutional neural network for MRI reconstruction.
Huang J; Wang S; Zhou G; Hu W; Yu G
Magn Reson Imaging; 2022 Apr; 87():38-46. PubMed ID: 34968699
[TBL] [Abstract][Full Text] [Related]
32. A deep convolutional neural network architecture for interstitial lung disease pattern classification.
Huang S; Lee F; Miao R; Si Q; Lu C; Chen Q
Med Biol Eng Comput; 2020 Apr; 58(4):725-737. PubMed ID: 31965407
[TBL] [Abstract][Full Text] [Related]
33. Transfer learning of deep neural network representations for fMRI decoding.
Svanera M; Savardi M; Benini S; Signoroni A; Raz G; Hendler T; Muckli L; Goebel R; Valente G
J Neurosci Methods; 2019 Dec; 328():108319. PubMed ID: 31585315
[TBL] [Abstract][Full Text] [Related]
34. Enhancing Skin Cancer Classification using Efficient Net B0-B7 through Convolutional Neural Networks and Transfer Learning with Patient-Specific Data.
K K; S K; K J A; B C
Asian Pac J Cancer Prev; 2024 May; 25(5):1795-1802. PubMed ID: 38809652
[TBL] [Abstract][Full Text] [Related]
35. DEGnext: classification of differentially expressed genes from RNA-seq data using a convolutional neural network with transfer learning.
Kakati T; Bhattacharyya DK; Kalita JK; Norden-Krichmar TM
BMC Bioinformatics; 2022 Jan; 23(1):17. PubMed ID: 34991439
[TBL] [Abstract][Full Text] [Related]
36. The effect of head motion on brain age prediction using deep convolutional neural networks.
Vakli P; Weiss B; Rozmann D; Erőss G; Nárai Á; Hermann P; Vidnyánszky Z
Neuroimage; 2024 Jul; 294():120646. PubMed ID: 38750907
[TBL] [Abstract][Full Text] [Related]
37. U-net model for brain extraction: Trained on humans for transfer to non-human primates.
Wang X; Li XH; Cho JW; Russ BE; Rajamani N; Omelchenko A; Ai L; Korchmaros A; Sawiak S; Benn RA; Garcia-Saldivar P; Wang Z; Kalin NH; Schroeder CE; Craddock RC; Fox AS; Evans AC; Messinger A; Milham MP; Xu T
Neuroimage; 2021 Jul; 235():118001. PubMed ID: 33789137
[TBL] [Abstract][Full Text] [Related]
38. Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset.
Ha R; Chin C; Karcich J; Liu MZ; Chang P; Mutasa S; Pascual Van Sant E; Wynn RT; Connolly E; Jambawalikar S
J Digit Imaging; 2019 Oct; 32(5):693-701. PubMed ID: 30361936
[TBL] [Abstract][Full Text] [Related]
39. Deep learning for electroencephalogram (EEG) classification tasks: a review.
Craik A; He Y; Contreras-Vidal JL
J Neural Eng; 2019 Jun; 16(3):031001. PubMed ID: 30808014
[TBL] [Abstract][Full Text] [Related]
40. Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review.
Ebrahimighahnavieh MA; Luo S; Chiong R
Comput Methods Programs Biomed; 2020 Apr; 187():105242. PubMed ID: 31837630
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
