| Demystifying batch normalization in relu networks: Equivalent convex optimization models and implicit regularization T Ergen, A Sahiner, B Ozturkler, J Pauly, M Mardani, M Pilanci International Conference on Learning Representations, 2021 | 29 | 2021 |
| Convex regularization behind neural reconstruction A Sahiner, M Mardani, B Ozturkler, M Pilanci, J Pauly International Conference on Learning Representations, 2020 | 27 | 2020 |
| Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers A Sahiner, T Ergen, B Ozturkler, J Pauly, M Mardani, M Pilanci International Conference on Machine Learning, 2022 | 26 | 2022 |
| Noise2Recon: Enabling SNR‐robust MRI reconstruction with semi‐supervised and self‐supervised learning AD Desai*, BM Ozturkler*, CM Sandino, R Boutin, M Willis, S Vasanawala, ... Magnetic Resonance in Medicine 90 (5), 2052-2070, 2023 | 22* | 2023 |
| VORTEX: Physics-Driven Data Augmentations for Consistency Training for Robust Accelerated MRI Reconstruction AD Desai, B Gunel, BM Ozturkler, H Beg, S Vasanawala, BA Hargreaves, ... Medical Imaging with Deep Learning, 2021 | 21* | 2021 |
| Hidden convexity of wasserstein gans: Interpretable generative models with closed-form solutions A Sahiner, T Ergen, B Ozturkler, B Bartan, J Pauly, M Mardani, M Pilanci International Conference on Learning Representations, 2021 | 20 | 2021 |
| ThinkSum: Probabilistic reasoning over sets using large language models B Ozturkler, N Malkin, Z Wang, N Jojic The 61st Annual Meeting of the Association for Computational Linguistics …, 2022 | 14 | 2022 |
| The mathematics of mass testing for COVID-19 D Donoho, M Lotfi, B Ozturkler SIAM Conference on Mathematics of Data Science (MDS20) 53 (06), 2020 | 9* | 2020 |
| Musical mirror-symmetrical movement tasks: comparison of rhythm versus melody-playing S Tokgoz, D Aydogdu, B Ilhan, Y Sahin, N Bariseri, BM Ozturkler, T Çukur NeuroReport 31 (7), 523-529, 2020 | 6 | 2020 |
| Regularization by Denoising Diffusion Process for MRI Reconstruction B Ozturkler, M Mardani, A Vahdat, J Kautz, JM Pauly Medical Imaging with Deep Learning, short paper track, 2023 | 4 | 2023 |
| Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks D Van Veen, R Van der Sluijs, B Ozturkler, A Desai, C Bluethgen, ... Medical Imaging with Deep Learning, short paper track, 2022 | 4 | 2022 |
| Gleam: greedy learning for large-scale accelerated MRI reconstruction B Ozturkler, A Sahiner, T Ergen, AD Desai, CM Sandino, S Vasanawala, ... arXiv preprint arXiv:2207.08393, 2022 | 4 | 2022 |
| Smrd: Sure-based robust mri reconstruction with diffusion models B Ozturkler, C Liu, B Eckart, M Mardani, J Song, J Kautz International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
| Coil-sketched unrolled networks for computationally-efficient deep MRI reconstruction JA Oscanoa, B Ozturkler, SS Iyer, Z Li, CM Sandino, M Pilanci, DB Ennis, ... Proceedings of International Society of Magnetic Resonance in Medicine, 0 | 3* | |
| Displacement estimation methods for speed-of-sound imaging in pulse-echo R Rau, E Ozkan, BM Ozturkler, L Gastli, O Goksel 2020 IEEE International Ultrasonics Symposium (IUS), 1-4, 2020 | 2 | 2020 |
| Greedy learning for large-scale neural MRI reconstruction B Ozturkler, A Sahiner, T Ergen, AD Desai, JM Pauly, S Vasanawala, ... NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 2021 | 1 | 2021 |
| Scalable and Interpretable Neural MRI Reconstruction via Layer-Wise Training B Ozturkler, A Sahiner, M Pilanci, S Vasanawala, J Pauly, M Mardani Proceedings of International Society of Magnetic Resonance in Medicine, 0 | 1* | |
| Coil sketching for computationally efficient MR iterative reconstruction JA Oscanoa, F Ong, SS Iyer, Z Li, CM Sandino, B Ozturkler, DB Ennis, ... Magnetic resonance in medicine 91 (2), 784-802, 2024 | | 2024 |
| Scaling Convex Neural Networks with Burer-Monteiro Factorization A Sahiner, T Ergen, B Ozturkler, JM Pauly, M Mardani, M Pilanci International Conference on Learning Representations, 2024 | | 2024 |
| Motion2Recon: A Motion-Robust Semi-Supervised Framework for MR Reconstruction H Beg, B Gunel, BM Ozturkler, CM Sandino, JM Pauly, S Vasanawala, ... Proceedings of International Society of Magnetic Resonance in Medicine, 0 | | |
John PaulyProfessor of Electrical Engineering, Stanford UniversityVerified email at stanford.edu
