GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction. - Anuroop Sriram; Jure Zbontar; Tullie Murrell; C. Lawrence Zitnick; Aaron Defazio; Daniel K. Sodickson (CVPR, 2020)

End-to-End Variational Networks for Accelerated MRI Reconstruction. - Anuroop Sriram; Jure Zbontar; Tullie Murrell; Aaron Defazio; C. Lawrence Zitnick; Nafissa Yakubova; Florian Knoll; Patricia M. Johnson (MICCAI (2), 2020)

MRI Banding Removal via Adversarial Training. - Aaron Defazio; Tullie Murrell; Michael P. Recht (NeurIPS, 2020)

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge. - Florian Knoll; Tullie Murrell; Anuroop Sriram; Nafissa Yakubova; Jure Zbontar; Michael G. Rabbat; Aaron Defazio; Matthew J. Muckley; Daniel K. Sodickson; C. Lawrence Zitnick; Michael P. Recht (CoRR, 2020)

PyTorchVideo: A Deep Learning Library for Video Understanding. - Haoqi Fan 001; Tullie Murrell; Heng Wang; Kalyan Vasudev Alwala; Yanghao Li; Yilei Li; Bo Xiong; Nikhila Ravi; Meng Li 004; Haichuan Yang; Jitendra Malik; Ross B. Girshick; et al. (ACM Multimedia, 2021)

Ego4D: Around the World in 3, 000 Hours of Egocentric Video. - Kristen Grauman; Andrew Westbury; Eugene Byrne; Zachary Chavis; Antonino Furnari; Rohit Girdhar; Jackson Hamburger; Hao Jiang 007; Miao Liu 007; Xingyu Liu 001; Miguel Martin; Tushar Nagarajan; et al. (CoRR, 2021)

Ego4D: Around the World in 3, 000 Hours of Egocentric Video. - Kristen Grauman; Andrew Westbury; Eugene Byrne; Zachary Chavis; Antonino Furnari; Rohit Girdhar; Jackson Hamburger; Hao Jiang 007; Miao Liu 007; Xingyu Liu 001; Miguel Martin; Tushar Nagarajan; et al. (CVPR, 2022)