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Magnetic Resonance in Medicine
|
January 4, 2020
A Transfer-Learning Approach for Accelerated MRI Using Deep Neural Networks
Salman Ul Hassan Dar, Muzaffer Özbey, Ahmet Burak Çatlı, et al.
Neuroimage
|
December 4, 2018
Spatially informed voxelwise modeling for naturalistic fMRI experiments
Emin Çelik, Salman Ul Hassan Dar, Özgür Yılmaz, et al.
Computers in Biology and Medicine
|
October 26, 2023
Parallel-stream fusion of scan-specific and scan-general priors for learning deep MRI reconstruction in low-data regimes
Salman Ul Hassan Dar, Şaban Öztürk, Muzaffer Özbey, et al.
Insights Into Imaging
|
July 6, 2024
Combined conventional factors and the radiomics signature of coronary plaque texture could improve cardiac risk prediction
Jannik Kahmann, Dominik Nörenberg, Theano Papavassiliu, et al.
Nature Biomedical Engineering
|
August 12, 2025
Unconditional latent diffusion models memorize patient imaging data
Salman Ul Hassan Dar, Marvin Seyfarth, Isabelle Ayx, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Magnetic Resonance in Medicine
|
January 4, 2020
A Transfer-Learning Approach for Accelerated MRI Using Deep Neural Networks
Salman Ul Hassan Dar, Muzaffer Özbey, Ahmet Burak Çatlı, et al.
Neuroimage
|
December 4, 2018
Spatially informed voxelwise modeling for naturalistic fMRI experiments
Emin Çelik, Salman Ul Hassan Dar, Özgür Yılmaz, et al.
Computers in Biology and Medicine
|
October 26, 2023
Parallel-stream fusion of scan-specific and scan-general priors for learning deep MRI reconstruction in low-data regimes
Salman Ul Hassan Dar, Şaban Öztürk, Muzaffer Özbey, et al.
Insights Into Imaging
|
July 6, 2024
Combined conventional factors and the radiomics signature of coronary plaque texture could improve cardiac risk prediction
Jannik Kahmann, Dominik Nörenberg, Theano Papavassiliu, et al.
Nature Biomedical Engineering
|
August 12, 2025
Unconditional latent diffusion models memorize patient imaging data
Salman Ul Hassan Dar, Marvin Seyfarth, Isabelle Ayx, et al.
Page
of 1