| Computing Steiner trees using graph neural networks R Ahmed, MA Turja, FD Sahneh, M Ghosh, K Hamm, S Kobourov arXiv preprint arXiv:2108.08368, 2021 | 5 | 2021 |
| Constructing consistent longitudinal brain networks by group-wise graph learning MA Turja, LCP Zsembik, G Wu, M Styner Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 2 | 2019 |
| DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics M Asadullah Turja, M Styner, G Wu arXiv e-prints, arXiv: 2306.03088, 2023 | | 2023 |
| Distributed Training of Large Graph Neural Networks with Variable Communication Rates J Cervino, MA Turja, H Mostafa, N Himayat, A Ribeiro arXiv preprint arXiv:2406.17611, 2024 | | 2024 |
| Extra axial cerebrospinal fluid volume and a diagnosis of Alzheimer's disease J Mirani, N Fulmer, MA Turja, G Wu, M Styner Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and …, 2021 | | 2021 |
| FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs H Mostafa, A Grabowski, MA Turja, J Cervino, A Ribeiro, N Himayat arXiv preprint arXiv:2311.17847, 2023 | 1 | 2023 |
| Joint identification of network hub nodes by multivariate graph inference D Yang, C Yan, F Nie, X Zhu, MA Turja, LCP Zsembik, M Styner, G Wu Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 5 | 2019 |
| Learning strategies for contrast-agnostic segmentation via SynthSeg for infant MRI data Z Shang, MA Turja, E Feczko, A Houghton, A Rueter, LA Moore, K Snider, ... International Conference on Medical Imaging with Deep Learning, 1075-1084, 2022 | 3 | 2022 |
| Learning the Latent Heat Diffusion Process through Structural Brain Network from Longitudinal -Amyloid Data MA Turja, G Wu, D Yang, MA Styner Medical Imaging with Deep Learning, 761-773, 2021 | 1 | 2021 |
Martin StynerProfessor of Computer Science and Psychiatry, University of North Carolina at Chapel Hill在 unc.edu 的电子邮件经过验证
