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Bioinformatics (Oxford, England)
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August 26, 2010
Obtaining better quality final clustering by merging a collection of clusterings
Selim Mimaroglu, Ertunc Erdil
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
June 21, 2019
Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors
Ertunc Erdil, Sinan Yildirim, Tolga Tasdizen, et al.
Medical Image Analysis
|
April 13, 2023
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation
Krishna Chaitanya, Ertunc Erdil, Neerav Karani, et al.
IEEE Transactions on Medical Imaging
|
September 30, 2017
Image Segmentation Using Disjunctive Normal Bayesian Shape and Appearance Models
Fitsum Mesadi, Ertunc Erdil, Mujdat Cetin, et al.
Medical Image Analysis
|
December 20, 2020
Test-time adaptable neural networks for robust medical image segmentation
Neerav Karani, Ertunc Erdil, Krishna Chaitanya, et al.
Medical Image Analysis
|
January 1, 2021
Semi-supervised task-driven data augmentation for medical image segmentation
Krishna Chaitanya, Neerav Karani, Christian F Baumgartner, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
July 21, 2017
Nonparametric Joint Shape and Feature Priors for Image Segmentation
Ertunc Erdil, Muhammad Usman Ghani, Lavdie Rada, et al.
Neuroscience
|
October 23, 2018
Tracking-assisted Detection of Dendritic Spines in Time-Lapse Microscopic Images
Lavdie Rada, Bike Kilic, Ertunc Erdil, et al.
Nature Communications
|
September 27, 2024
Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks
Ertunc Erdil, Anton S Becker, Moritz Schwyzer, et al.
Nature Communications
|
November 20, 2024
Author Correction: Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks
Ertunc Erdil, Anton S Becker, Moritz Schwyzer, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Bioinformatics (Oxford, England)
|
August 26, 2010
Obtaining better quality final clustering by merging a collection of clusterings
Selim Mimaroglu, Ertunc Erdil
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
June 21, 2019
Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors
Ertunc Erdil, Sinan Yildirim, Tolga Tasdizen, et al.
Medical Image Analysis
|
April 13, 2023
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation
Krishna Chaitanya, Ertunc Erdil, Neerav Karani, et al.
IEEE Transactions on Medical Imaging
|
September 30, 2017
Image Segmentation Using Disjunctive Normal Bayesian Shape and Appearance Models
Fitsum Mesadi, Ertunc Erdil, Mujdat Cetin, et al.
Medical Image Analysis
|
December 20, 2020
Test-time adaptable neural networks for robust medical image segmentation
Neerav Karani, Ertunc Erdil, Krishna Chaitanya, et al.
Medical Image Analysis
|
January 1, 2021
Semi-supervised task-driven data augmentation for medical image segmentation
Krishna Chaitanya, Neerav Karani, Christian F Baumgartner, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
July 21, 2017
Nonparametric Joint Shape and Feature Priors for Image Segmentation
Ertunc Erdil, Muhammad Usman Ghani, Lavdie Rada, et al.
Neuroscience
|
October 23, 2018
Tracking-assisted Detection of Dendritic Spines in Time-Lapse Microscopic Images
Lavdie Rada, Bike Kilic, Ertunc Erdil, et al.
Nature Communications
|
September 27, 2024
Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks
Ertunc Erdil, Anton S Becker, Moritz Schwyzer, et al.
Nature Communications
|
November 20, 2024
Author Correction: Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks
Ertunc Erdil, Anton S Becker, Moritz Schwyzer, et al.
Page
of 1