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Ender Konukoglu

Showing results (1-10 of 82) with videos related to

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Neuroimage|July 27, 2018
Reconstructing subject-specific effect mapsEnder Konukoglu, Ben Glocker,
Neuroinformatics|July 23, 2014
Clinical prediction from structural brain MRI scans: a large-scale empirical studyMert R Sabuncu, Ender Konukoglu,
Medical Image Analysis|July 29, 2025
Learning to segment anatomy and lesions from disparately labeled sources in brain MRIMeva Himmetoglu, I Frank Ciernik, Ender Konukoglu, et al.
Medical Image Analysis|December 20, 2020
Test-time adaptable neural networks for robust medical image segmentationNeerav Karani, Ertunc Erdil, Krishna Chaitanya, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
Reducing Navigators in Free-Breathing Abdominal MRI via Temporal Interpolation Using Convolutional Neural NetworksNeerav Karani, Christine Tanner, Sebastian Kozerke, et al.
Medical Image Analysis|June 4, 2013
Neighbourhood approximation using randomized forestsEnder Konukoglu, Ben Glocker, Darko Zikic, et al.
Medical Image Analysis|March 3, 2019
An image interpolation approach for acquisition time reduction in navigator-based 4D MRINeerav Karani, Lin Zhang, Christine Tanner, et al.
Medical Image Analysis|September 6, 2021
Normative ascent with local gaussians for unsupervised lesion detectionXiaoran Chen, Nick Pawlowski, Ben Glocker, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Neighbourhood approximation forestsEnder Konukoglu, Ben Glocker, Darko Zikic, et al.
Medical Image Analysis|April 13, 2023
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentationKrishna Chaitanya, Ertunc Erdil, Neerav Karani, et al.
Pageof 9

Showing results (1-10 of 82) with videos related to

Sort By:
Pageof 9
Neuroimage|July 27, 2018
Reconstructing subject-specific effect mapsEnder Konukoglu, Ben Glocker,
Neuroinformatics|July 23, 2014
Clinical prediction from structural brain MRI scans: a large-scale empirical studyMert R Sabuncu, Ender Konukoglu,
Medical Image Analysis|July 29, 2025
Learning to segment anatomy and lesions from disparately labeled sources in brain MRIMeva Himmetoglu, I Frank Ciernik, Ender Konukoglu, et al.
Medical Image Analysis|December 20, 2020
Test-time adaptable neural networks for robust medical image segmentationNeerav Karani, Ertunc Erdil, Krishna Chaitanya, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
Reducing Navigators in Free-Breathing Abdominal MRI via Temporal Interpolation Using Convolutional Neural NetworksNeerav Karani, Christine Tanner, Sebastian Kozerke, et al.
Medical Image Analysis|June 4, 2013
Neighbourhood approximation using randomized forestsEnder Konukoglu, Ben Glocker, Darko Zikic, et al.
Medical Image Analysis|March 3, 2019
An image interpolation approach for acquisition time reduction in navigator-based 4D MRINeerav Karani, Lin Zhang, Christine Tanner, et al.
Medical Image Analysis|September 6, 2021
Normative ascent with local gaussians for unsupervised lesion detectionXiaoran Chen, Nick Pawlowski, Ben Glocker, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Neighbourhood approximation forestsEnder Konukoglu, Ben Glocker, Darko Zikic, et al.
Medical Image Analysis|April 13, 2023
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentationKrishna Chaitanya, Ertunc Erdil, Neerav Karani, et al.
Pageof 9