Can Un-trained Neural Networks Compete with Trained Neural Networks at Image Reconstruction? - Mohammad Zalbagi Darestani; Reinhard Heckel (CoRR, 2020)

Measuring Robustness in Deep Learning Based Compressive Sensing. - Mohammad Zalbagi Darestani; Akshay S. Chaudhari; Reinhard Heckel (ICML, 2021)

Accelerated MRI With Un-Trained Neural Networks. - Mohammad Zalbagi Darestani; Reinhard Heckel (IEEE Trans. Computational Imaging, 2021)

Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing. - Mohammad Zalbagi Darestani; Jiayu Liu; Reinhard Heckel (ICML, 2022)

MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction. - Mohammad Zalbagi Darestani; Vishwesh Nath; Wenqi Li 001; Yufan He; Holger R. Roth; Ziyue Xu 001; Daguang Xu; Reinhard Heckel; Can Zhao 001 (WACV, 2024)