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Proceedings of the National Academy of Sciences of the United States of America|February 24, 2021
Heritability of individualized cortical network topographyKevin M Anderson, Tian Ge, Ru Kong, et al.
Cerebral Cortex (New York, N.Y. : 1991)|December 1, 2017
Joint Analysis of Cortical Area and Thickness as a Replacement for the Analysis of the Volume of the Cerebral CortexAnderson M Winkler, Douglas N Greve, Knut J Bjuland, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Decision forests for tissue-specific segmentation of high-grade gliomas in multi-channel MRDarko Zikic, Ben Glocker, Ender Konukoglu, et al.
Neurorehabilitation and Neural Repair|March 21, 2020
Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic StrokeCeren Tozlu, Dylan Edwards, Aaron Boes, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 13, 2015
Massively expedited genome-wide heritability analysis (MEGHA)Tian Ge, Thomas E Nichols, Phil H Lee, et al.
Scientific Reports|March 19, 2022
Assessing radiomics feature stability with simulated CT acquisitionsKyriakos Flouris, Oscar Jimenez-Del-Toro, Christoph Aberle, et al.
Computers in Biology and Medicine|January 9, 2022
A 2.5D convolutional neural network for HPV prediction in advanced oropharyngeal cancerAgustina La Greca Saint-Esteven, Marta Bogowicz, Ender Konukoglu, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 11, 2017
Post-radiochemotherapy PET radiomics in head and neck cancer - The influence of radiomics implementation on the reproducibility of local control tumor modelsMarta Bogowicz, Ralph T H Leijenaar, Stephanie Tanadini-Lang, et al.
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