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André M Carrington

Showing results (1-10 of 4) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
A new Mercer sigmoid kernel for clinical data classificationAndré M Carrington, Paul W Fieguth, Helen H Chen
BMC Medical Informatics and Decision Making|January 8, 2020
A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithmsAndré M Carrington, Paul W Fieguth, Hammad Qazi, et al.
Plos One|June 22, 2022
Using deep-learning in fetal ultrasound analysis for diagnosis of cystic hygroma in the first trimesterMark C Walker, Inbal Willner, Olivier X Miguel, et al.
Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes|April 18, 2023
Clinical Features, Non-Contrast CT Radiomic and Radiological Signs in Models for the Prediction of Hematoma Expansion in Intracerebral HemorrhageZejia Frank Chen, Liying Zhang, André M Carrington, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
A new Mercer sigmoid kernel for clinical data classificationAndré M Carrington, Paul W Fieguth, Helen H Chen
BMC Medical Informatics and Decision Making|January 8, 2020
A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithmsAndré M Carrington, Paul W Fieguth, Hammad Qazi, et al.
Plos One|June 22, 2022
Using deep-learning in fetal ultrasound analysis for diagnosis of cystic hygroma in the first trimesterMark C Walker, Inbal Willner, Olivier X Miguel, et al.
Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes|April 18, 2023
Clinical Features, Non-Contrast CT Radiomic and Radiological Signs in Models for the Prediction of Hematoma Expansion in Intracerebral HemorrhageZejia Frank Chen, Liying Zhang, André M Carrington, et al.
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