Aikaterini Kotrotsou, Ph.D.
Affiliations: | 2014 | Illinois Institute of Technology, Chicago, IL, United States |
Area:
Biomedical EngineeringGoogle:
"Aikaterini Kotrotsou"Parents
Sign in to add mentor| Konstantinos Arfanakis | grad student | 2014 | Illinois Institute of Technology | |
| (Neuropathologic correlates of brain macrostructure.) | ||||
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Publications
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| Thakur S, Doshi J, Pati S, et al. (2020) Brain Extraction on MRI Scans in Presence of Diffuse Glioma: Multi-institutional Performance Evaluation of Deep Learning Methods and Robust Modality-Agnostic Training. Neuroimage. 117081 |
| Chong I, Ostrom Q, Khan B, et al. (2019) Whole Tumor Histogram Analysis Using DW MRI in Primary Central Nervous System Lymphoma Correlates with Tumor Biomarkers and Outcome. Cancers. 11 |
| Elshafeey N, Kotrotsou A, Hassan A, et al. (2019) Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma. Nature Communications. 10: 3170 |
| Makkinejad N, Schneider JA, Yu J, et al. (2019) Associations of amygdala volume and shape with transactive response DNA-binding protein 43 (TDP-43) pathology in a community cohort of older adults. Neurobiology of Aging. 77: 104-111 |
| Khatua S, Idris T, Kotrotsou A, et al. (2019) MRI based radiomic signature to predict treatment response to intraventricular natural killer (NK) cell infusion therapy for recurrent/refractory pediatric brain tumors. Journal of Clinical Oncology. 37: e21511-e21511 |
| Thakur S, Doshi J, Min Ha S, et al. (2019) NIMG-40. ROBUST MODALITY-AGNOSTIC SKULL-STRIPPING IN PRESENCE OF DIFFUSE GLIOMA: A MULTI-INSTITUTIONAL STUDY Neuro-Oncology. 21: vi170-vi170 |
| Zinn PO, Singh SK, Kotrotsou A, et al. (2018) A co-clinical radiogenomic validation study - Conserved magnetic resonance radiomic appearance of Periostin expressing Glioblastoma in patients and xenograft models. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research |
| Wahid K, Kotrotsou A, Abrol S, et al. (2018) Interrogating machine learning classifiers and dimensionality reduction techniques for radiomic prediction of glioma tumor grade. Journal of Clinical Oncology. 36: 2031-2031 |
| Hassan I, Kotrotsou A, Matsuoka CK, et al. (2018) Abstract 2955: A radiomic-based MRI phenotype is uniquely associated with hypermutated genotype in gliomas Cancer Research. 78: 2955-2955 |
| Evia AM, Kotrotsou A, Tamhane AA, et al. (2017) Ex-vivo quantitative susceptibility mapping of human brain hemispheres. Plos One. 12: e0188395 |