Author

C. Davatzikos

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioengineering· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Research Focus:clustering· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

E. Mamourian· 2 shared T. D. Satterthwaite· 2 shared A. Abdulkadir· 1 shared A. Adebimpe· 1 shared A. Boxer· 1 shared A. Fathi Kazerooni· 1 shared A. Hatzigeorgiou· 1 shared A. R. Franco· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioengineering

E. Mamourian

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

The Radiogenomic and Spatiogenomic Landscapes of Glioblastoma, and Their Relationship to Oncogenic Drivers

A. Fathi Kazerooni, H. Akbari, X. Hu, V. Bommineni, D. Grigoriadis, E. Toorens, C. Sako, E. Mamourian, D. Ballinger, R. Sussman, A. Singh, I. I. Verginadis, N. Dahmane, C. Koumenis, Z. A. Binder, , C. Davatzikos

This study identifies imaging and spatial biomarkers in glioblastoma that correlate with molecular features and oncogenic drivers using machine learning on MRI data.

bioRxiv · Dec 15, 2022Bioengineering

Multiscale functional connectivity patterns of the aging brain learned from rsfMRI data of 4,259 individuals of the multi-cohort iSTAGING study

Z. Zhou, D. Srinivasan, H. Li, A. Abdulkadir, I. Nasrallah, J. Wen, J. Doshi, G. Erus, E. Mamourian, N. R. Bryan, D. A. Wolk, L. Beason-Held, S. M. Resnick, T. D. Satterthwaite, C. Davatzikos, , Y. Fan

The paper develops a brain age prediction model using multiscale functional connectivity from rsfMRI data of 4,259 individuals, showing that multiscale measures improve prediction and that brain age gaps correlate with cognitive and clinical measures.

bioRxiv · Jul 27, 2022 · PreprintBioengineering

ASLPrep: A Generalizable Platform for Processing of Arterial Spin Labeled MRI and Quantification of Regional Brain Perfusion

A. Adebimpe, M. Bertolero, S. Dolui, M. Cieslak, K. Murtha, E. B. Baller, B. Boeve, A. Boxer, E. R. Butler, P. Cook, S. Colcombe, S. Covitz, C. Davatzikos, D. G. Davila, M. A. Elliott, , T. D. Satterthwaite

ASLPrep processes ASL MRI data to quantify regional brain perfusion with reproducible and generalizable pipelines.

bioRxiv · May 20, 2021 · PreprintBioengineering