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Yeshaswini Nagaraj

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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|March 9, 2017
Advanced inside-out tracking approach for real-time combination of MRI and US images in the radio-frequency shielded room using combination markersYeshaswini Nagaraj, Christian Benedicks, Philipp Matthies, et al.
Cancers|August 26, 2022
Possible Bias in Supervised Deep Learning Algorithms for CT Lung Nodule Detection and ClassificationNikos Sourlos, Jingxuan Wang, Yeshaswini Nagaraj, et al.
Medical Devices (Auckland, N.Z.)|March 29, 2018
In-room ultrasound fusion combined with fully compatible 3D-printed holding arm - rethinking interventional MRIMichael Friebe, Juan Sanchez, Sathish Balakrishnan, et al.
Journal of Digital Imaging|February 19, 2022
AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific AugmentationYeshaswini Nagaraj, Hendrik Joost Wisselink, Mieneke Rook, et al.
European Radiology|April 1, 2022
Facilitating standardized COVID-19 suspicion prediction based on computed tomography radiomics in a multi-demographic settingYeshaswini Nagaraj, Gonda de Jonge, Anna Andreychenko, et al.
Pageof 1

Showing results (1-10 of 5) 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|March 9, 2017
Advanced inside-out tracking approach for real-time combination of MRI and US images in the radio-frequency shielded room using combination markersYeshaswini Nagaraj, Christian Benedicks, Philipp Matthies, et al.
Cancers|August 26, 2022
Possible Bias in Supervised Deep Learning Algorithms for CT Lung Nodule Detection and ClassificationNikos Sourlos, Jingxuan Wang, Yeshaswini Nagaraj, et al.
Medical Devices (Auckland, N.Z.)|March 29, 2018
In-room ultrasound fusion combined with fully compatible 3D-printed holding arm - rethinking interventional MRIMichael Friebe, Juan Sanchez, Sathish Balakrishnan, et al.
Journal of Digital Imaging|February 19, 2022
AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific AugmentationYeshaswini Nagaraj, Hendrik Joost Wisselink, Mieneke Rook, et al.
European Radiology|April 1, 2022
Facilitating standardized COVID-19 suspicion prediction based on computed tomography radiomics in a multi-demographic settingYeshaswini Nagaraj, Gonda de Jonge, Anna Andreychenko, et al.
Pageof 1