156 related articles for article (PubMed ID: 36018877)
1. Diagnosis of Glioblastoma Multiforme Progression via Interpretable Structure-Constrained Graph Neural Networks.
Song X; Li J; Qian X
IEEE Trans Med Imaging; 2023 Feb; 42(2):380-390. PubMed ID: 36018877
[TBL] [Abstract][Full Text] [Related]
2. DC-AL GAN: Pseudoprogression and true tumor progression of glioblastoma multiform image classification based on DCGAN and AlexNet.
Li M; Tang H; Chan MD; Zhou X; Qian X
Med Phys; 2020 Mar; 47(3):1139-1150. PubMed ID: 31885094
[TBL] [Abstract][Full Text] [Related]
3. Stratification of pseudoprogression and true progression of glioblastoma multiform based on longitudinal diffusion tensor imaging without segmentation.
Qian X; Tan H; Zhang J; Zhao W; Chan MD; Zhou X
Med Phys; 2016 Nov; 43(11):5889. PubMed ID: 27806598
[TBL] [Abstract][Full Text] [Related]
4. Multiphysical graph neural network (MP-GNN) for COVID-19 drug design.
Li XS; Liu X; Lu L; Hua XS; Chi Y; Xia K
Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35696650
[TBL] [Abstract][Full Text] [Related]
5. CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis.
Zheng K; Yu S; Chen B
Neural Netw; 2024 Apr; 172():106147. PubMed ID: 38306785
[TBL] [Abstract][Full Text] [Related]
6. Auto-Metric Graph Neural Network Based on a Meta-Learning Strategy for the Diagnosis of Alzheimer's Disease.
Song X; Mao M; Qian X
IEEE J Biomed Health Inform; 2021 Aug; 25(8):3141-3152. PubMed ID: 33493122
[TBL] [Abstract][Full Text] [Related]
7. Combination of IVIM-DWI and 3D-ASL for differentiating true progression from pseudoprogression of Glioblastoma multiforme after concurrent chemoradiotherapy: study protocol of a prospective diagnostic trial.
Liu ZC; Yan LF; Hu YC; Sun YZ; Tian Q; Nan HY; Yu Y; Sun Q; Wang W; Cui GB
BMC Med Imaging; 2017 Feb; 17(1):10. PubMed ID: 28143434
[TBL] [Abstract][Full Text] [Related]
8. Enhanced brain tumor classification using graph convolutional neural network architecture.
Ravinder M; Saluja G; Allabun S; Alqahtani MS; Abbas M; Othman M; Soufiene BO
Sci Rep; 2023 Sep; 13(1):14938. PubMed ID: 37697022
[TBL] [Abstract][Full Text] [Related]
9. Pre-training graph neural networks for link prediction in biomedical networks.
Long Y; Wu M; Liu Y; Fang Y; Kwoh CK; Chen J; Luo J; Li X
Bioinformatics; 2022 Apr; 38(8):2254-2262. PubMed ID: 35171981
[TBL] [Abstract][Full Text] [Related]
10. Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis.
Xing X; Yang F; Li H; Zhang J; Zhao Y; Gao M; Huang J; Yao J
Bioinformatics; 2022 Apr; 38(8):2178-2186. PubMed ID: 35157021
[TBL] [Abstract][Full Text] [Related]
11. MNC-Net: Multi-task graph structure learning based on node clustering for early Parkinson's disease diagnosis.
Huang L; Ye X; Yang M; Pan L; Zheng SH
Comput Biol Med; 2023 Jan; 152():106308. PubMed ID: 36462371
[TBL] [Abstract][Full Text] [Related]
12. Meta-structure-based graph attention networks.
Li J; Sun Q; Zhang F; Yang B
Neural Netw; 2024 Mar; 171():362-373. PubMed ID: 38134599
[TBL] [Abstract][Full Text] [Related]
13. Exploiting Neighbor Effect: Conv-Agnostic GNN Framework for Graphs With Heterophily.
Chen J; Chen S; Gao J; Huang Z; Zhang J; Pu J
IEEE Trans Neural Netw Learn Syst; 2023 May; PP():. PubMed ID: 37195851
[TBL] [Abstract][Full Text] [Related]
14. Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.
Pfeifer B; Chereda H; Martin R; Saranti A; Clemens S; Hauschild AC; Beißbarth T; Holzinger A; Heider D
Bioinformatics; 2023 Nov; 39(11):. PubMed ID: 37988152
[TBL] [Abstract][Full Text] [Related]
15. Polypharmacy side-effect prediction with enhanced interpretability based on graph feature attention network.
Bang S; Jhee JH; Shin H
Bioinformatics; 2021 Sep; 37(18):2955-2962. PubMed ID: 33714994
[TBL] [Abstract][Full Text] [Related]
16. SP-GNN: Learning structure and position information from graphs.
Chen Y; You J; He J; Lin Y; Peng Y; Wu C; Zhu Y
Neural Netw; 2023 Apr; 161():505-514. PubMed ID: 36805265
[TBL] [Abstract][Full Text] [Related]
17. MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis.
Wen G; Cao P; Bao H; Yang W; Zheng T; Zaiane O
Comput Biol Med; 2022 Mar; 142():105239. PubMed ID: 35066446
[TBL] [Abstract][Full Text] [Related]
18. MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder.
Pan J; Lin H; Dong Y; Wang Y; Ji Y
Comput Biol Med; 2022 Sep; 148():105823. PubMed ID: 35872410
[TBL] [Abstract][Full Text] [Related]
19. LGLNN: Label Guided Graph Learning-Neural Network for few-shot learning.
Zhao K; Zhang Z; Jiang B; Tang J
Neural Netw; 2022 Nov; 155():50-57. PubMed ID: 36041280
[TBL] [Abstract][Full Text] [Related]
20. Deep Constraint-Based Propagation in Graph Neural Networks.
Tiezzi M; Marra G; Melacci S; Maggini M
IEEE Trans Pattern Anal Mach Intell; 2022 Feb; 44(2):727-739. PubMed ID: 33856980
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
