Research output per year
Research output per year
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Dive into the research topics where Mohamad Habes is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
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Associated factors of white matter hyperintensity volume: a machine-learning approach
Grosu, S., Rospleszcz, S., Hartmann, F., Habes, M., Bamberg, F., Schlett, C. L., Galie, F., Lorbeer, R., Auweter, S., Selder, S., Buelow, R., Heier, M., Rathmann, W., Mueller-Peltzer, K., Ladwig, K. H., Grabe, H. J., Peters, A., Ertl-Wagner, B. B. & Stoecklein, S., Dec 2021, In: Scientific reports. 11, 1, 2325.Research output: Contribution to journal › Article › peer-review
Open Access -
Associations between sleep apnea and advanced brain aging in a large-scale population study
Weihs, A., Frenzel, S., Wittfeld, K., Obst, A., Stubbe, B., Habes, M., Szentkirályi, A., Berger, K., Fietze, I., Penzel, T., Hosten, N., Ewert, R., Völzke, H., Zacharias, H. U. & Grabe, H. J., Mar 1 2021, In: Sleep. 44, 3, zsaa204.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
DEEPMIR: a deep neural network for differential detection of cerebral microbleeds and iron deposits in MRI
Rashid, T., Abdulkadir, A., Nasrallah, I. M., Ware, J. B., Liu, H., Spincemaille, P., Romero, J. R., Bryan, R. N., Heckbert, S. R. & Habes, M., Dec 2021, In: Scientific reports. 11, 1, 14124.Research output: Contribution to journal › Article › peer-review
Open Access -
Erratum: MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide (Brain (2020) 143 (2312-2324) DOI: 10.1093/brain/awaa160)
Bashyam, V. M., Erus, G., Doshi, J., Habes, M., Nasralah, I., Truelove-Hill, M., Srinivasan, D., Mamourian, L., Pomponio, R., Fan, Y., Launer, L. J., Masters, C. L., Maruff, P., Zhuo, C., Völzke, H., Johnson, S. C., Fripp, J., Koutsouleris, N., Satterthwaite, T. D., Wolf, D. & 10 others, , Jan 1 2021, In: Brain. 144, 1, e12.Research output: Contribution to journal › Comment/debate › peer-review
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The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans
for the iSTAGING consortium, the Preclinical AD consortium, the ADNI, and the CARDIA studies, Jan 2021, In: Alzheimer's and Dementia. 17, 1, p. 89-102 14 p.Research output: Contribution to journal › Article › peer-review