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Gerda Bortsova

Showing results (1-10 of 9) with videos related to

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Medical Image Analysis|November 4, 2018
3D regression neural network for the quantification of enlarged perivascular spaces in brain MRIFlorian Dubost, Hieab Adams, Gerda Bortsova, et al.
Radiology. Artificial Intelligence|October 7, 2021
Automated Segmentation and Volume Measurement of Intracranial Internal Carotid Artery Calcification at Noncontrast CTGerda Bortsova, Daniel Bos, Florian Dubost, et al.
Neuroimage|October 17, 2018
Enlarged perivascular spaces in brain MRI: Automated quantification in four regionsFlorian Dubost, Pinar Yilmaz, Hieab Adams, et al.
Journal of Imaging|October 26, 2022
DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training DataSoumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, et al.
IEEE Transactions on Medical Imaging|August 20, 2019
Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value TheoremRuwan Tennakoon, Gerda Bortsova, Silas Orting, et al.
Medical Image Analysis|July 17, 2020
Weakly supervised object detection with 2D and 3D regression neural networksFlorian Dubost, Hieab Adams, Pinar Yilmaz, et al.
Medrxiv : the Preprint Server for Health Sciences|March 30, 2023
Multivariate brain-based dimensions of child psychiatric problems: degrees of generalizabilityBing Xu, Lorenza Dallâ Aglio, John Flournoy, et al.
Communications Psychology|September 6, 2024
Limited generalizability of multivariate brain-based dimensions of child psychiatric symptomsBing Xu, Lorenza Dall'Aglio, John Flournoy, et al.
Medical Image Analysis|July 11, 2021
Adversarial attack vulnerability of medical image analysis systems: Unexplored factorsGerda Bortsova, Cristina González-Gonzalo, Suzanne C Wetstein, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Medical Image Analysis|November 4, 2018
3D regression neural network for the quantification of enlarged perivascular spaces in brain MRIFlorian Dubost, Hieab Adams, Gerda Bortsova, et al.
Radiology. Artificial Intelligence|October 7, 2021
Automated Segmentation and Volume Measurement of Intracranial Internal Carotid Artery Calcification at Noncontrast CTGerda Bortsova, Daniel Bos, Florian Dubost, et al.
Neuroimage|October 17, 2018
Enlarged perivascular spaces in brain MRI: Automated quantification in four regionsFlorian Dubost, Pinar Yilmaz, Hieab Adams, et al.
Journal of Imaging|October 26, 2022
DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training DataSoumick Chatterjee, Kartik Prabhu, Mahantesh Pattadkal, et al.
IEEE Transactions on Medical Imaging|August 20, 2019
Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value TheoremRuwan Tennakoon, Gerda Bortsova, Silas Orting, et al.
Medical Image Analysis|July 17, 2020
Weakly supervised object detection with 2D and 3D regression neural networksFlorian Dubost, Hieab Adams, Pinar Yilmaz, et al.
Medrxiv : the Preprint Server for Health Sciences|March 30, 2023
Multivariate brain-based dimensions of child psychiatric problems: degrees of generalizabilityBing Xu, Lorenza Dallâ Aglio, John Flournoy, et al.
Communications Psychology|September 6, 2024
Limited generalizability of multivariate brain-based dimensions of child psychiatric symptomsBing Xu, Lorenza Dall'Aglio, John Flournoy, et al.
Medical Image Analysis|July 11, 2021
Adversarial attack vulnerability of medical image analysis systems: Unexplored factorsGerda Bortsova, Cristina González-Gonzalo, Suzanne C Wetstein, et al.
Pageof 1