Resources
Software
Software
[click images to enlarge]
[1] A. Kurmukov, Y. Zhao, A. Mussabaeva, B. Gutman, Constraining Disease Progression Models Using Subject Specific Connectivity Priors, Springer International Publishing, Connectomic in NeuroImaging (CNI), 2019, pp. 106-116.
[2] Y. Zhao, A. Kurmukov, B.A. Gutman, Spatially Adaptive Morphometric Knowledge Transfer Across Neurodegenerative Diseases, International Symposium on Biomedical Imaging, 2021, pp. 845-849.
[3] A. Kurmukov, A. Mussabaeva, Y. Denisova, D. Moyer, N. Jahanshad, P.M. Thompson, B.A. Gutman, Optimizing Connectivity-Driven Brain Parcellation Using Ensemble Clustering, Brain Connectivity, 10 (2020) 183-194.
[2] Y. Zhao, A. Kurmukov, B.A. Gutman, Spatially Adaptive Morphometric Knowledge Transfer Across Neurodegenerative Diseases, International Symposium on Biomedical Imaging, 2021, pp. 845-849.
[3] A. Kurmukov, A. Mussabaeva, Y. Denisova, D. Moyer, N. Jahanshad, P.M. Thompson, B.A. Gutman, Optimizing Connectivity-Driven Brain Parcellation Using Ensemble Clustering, Brain Connectivity, 10 (2020) 183-194.
Server
Server
The Laboratory for Modeling and Computation in Imaging and Genetics (LAMCIG) has computational resources exclusively dedicated to computing needs in imaging genetics research. Orpheus is an HPE Apollo 12 node (Each node = 2 x Intel Xeon E5-2680V4 2.4 GHz 14-core processor)/336-core/3.072 TB DDR4 RAM cluster with redundant Gigabit and 10 Gigabit networking. The 128 TB useable RAID6 storage solution is connected exclusively over the 10 Gigabit network for each node to the storage server. The cluster is supported by dedicated IT staff from the IIT Pritzker Institute for Biomedical Engineering as well as a Next Business Day HPE onsite support contract, ensuring continuous operation.
