Efstathios D. Gennatas, MBBS, PhD

Affiliations: 
2008-2011 Neurology University of California, San Francisco, San Francisco, CA 
 2011-2017 Psychiatry University of Pennsylvania, Philadelphia, PA, United States 
 2017- Radiation Oncology University of California, San Francisco, San Francisco, CA 
Area:
Precision Medicine, Machine Learning, Neuroscience, Neuroimaging, MRI
Google:
"efstathios OR stathis gennatas"
Mean distance: 17.25 (cluster 23)
 
SNBCP
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Publications

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Spinelli MA, Glidden DV, Gennatas ED, et al. (2021) Importance of non-pharmaceutical interventions in lowering the viral inoculum to reduce susceptibility to infection by SARS-CoV-2 and potentially disease severity. The Lancet. Infectious Diseases
Gur RC, Butler ER, Moore TM, et al. (2020) Structural and Functional Brain Parameters Related to Cognitive Performance Across Development: Replication and Extension of the Parieto-Frontal Integration Theory in a Single Sample. Cerebral Cortex (New York, N.Y. : 1991)
Valdes G, Luna JM, Gennatas ED, et al. (2020) Reply to Nock and Nielsen: On the work of Nock and Nielsen and its relationship to the additive tree. Proceedings of the National Academy of Sciences of the United States of America
Gennatas ED, Friedman JH, Ungar LH, et al. (2020) Expert-augmented machine learning. Proceedings of the National Academy of Sciences of the United States of America
Morin O, Chen WC, Nassiri F, et al. (2019) Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival. Neuro-Oncology Advances. 1: vdz011
Luna JM, Gennatas ED, Ungar LH, et al. (2019) Building more accurate decision trees with the additive tree. Proceedings of the National Academy of Sciences of the United States of America
Butler PM, Chiong W, Perry DC, et al. (2019) Dopamine receptor D (DRD) polymorphisms with reduced functional potency intensify atrophy in syndrome-specific sites of frontotemporal dementia. Neuroimage. Clinical. 23: 101822
Witztum A, Wu S, Gennatas E, et al. (2019) PO-0884 Predicting 30-day mortality for palliative radiotherapy Radiotherapy and Oncology. 133: S466-S467
Gennatas ED, Wu A, Braunstein SE, et al. (2018) Preoperative and postoperative prediction of long-term meningioma outcomes. Plos One. 13: e0204161
Morin O, Chen W, Gennatas E, et al. (2018) MNGI-23. PREOPERATIVE QUANTITATIVE IMAGING FEATURES ARE PROGNOSTIC FOR MENINGIOMA OUTCOMES Neuro-Oncology. 20: vi153-vi154
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