| MRI based automated diagnosis of Alzheimer's: Fusing 3D wavelet-features with clinical data A Ayaz, MZ Ahmad, K Khurshid, AM Kamboh 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 6 | 2017 |
| Brain MR image simulation for deep learning based medical image analysis networks A Ayaz, Y Al Khalil, S Amirrajab, C Lorenz, J Weese, J Pluim, M Breeuwer Computer Methods and Programs in Biomedicine 248, 108115, 2024 | 4 | 2024 |
| Multi-modal brain tumor segmentation via conditional synthesis with Fourier domain adaptation Y Al Khalil, A Ayaz, C Lorenz, J Weese, J Pluim, M Breeuwer Computerized Medical Imaging and Graphics 112, 102332, 2024 | 2 | 2024 |
| Effective deep-learning brain MRI super resolution using simulated training data A Ayaz, R Boonstoppel, C Lorenz, J Weese, J Pluim, M Breeuwer Computers in Biology and Medicine 183, 109301, 2024 | 1 | 2024 |
| A Stratified Cascaded Approach for Brain Tumor Segmentation with the Aid of Multi-modal Synthetic Data YA Khalil, A Ayaz, C Lorenz, J Weese, J Pluim, M Breeuwer MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, 92-101, 2022 | 1 | 2022 |
| Simulation and Synthesis for Brain Magnetic Resonance Image Analysis A Ayaz | | 2024 |
| Brain MR image super resolution using simulated data to perform in real-world MRI A Ayaz, K Lukassen, C Lorenz, J Weese, M Breeuwer | | |
| 3D brain MRI synthesis utilizing 2D SPADE-GAN and 3D CNN architecture A Ayaz, R de Jong, S Abbasi-Sureshjani, S Amirrajab, C Lorenz, J Weese, ... | | |
| Pipeline for Simulating Realistic Anatomically Variable Normal Young, Aging and Diseased Brain MRI A Ayaz, J Smink, T Geraedts, C Lorenz, J Weese, M Breeuwer | | |
| Data Augmentation with Simulated Images for Generalizable Brain MRI Super-Resolution S Amirrajab, R Boonstoppel, A Ayaz, M Breeuwer | | |
| Reducing the impact of texture on deep-learning brain tissue segmentation networks trained with simulated MR images Y Al Khalil, A Ayaz, C Lorenz, J Weese, J Pluim, M Breeuwer | | |
| Realistic MRI simulation pipeline for anatomically variable normal young, aging and diseased brain A Ayaz, J Smink, T Geraedts, C Lorenz, J Weese, M Breeuwer | | |
