| fastMRI: An open dataset and benchmarks for accelerated MRI J Zbontar, F Knoll, A Sriram, T Murrell, Z Huang, MJ Muckley, A Defazio, ... arXiv preprint arXiv:1811.08839, 2018 | 763 | 2018 |
| Ego4d: Around the world in 3,000 hours of egocentric video K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 543 | 2022 |
| End-to-end variational networks for accelerated MRI reconstruction A Sriram, J Zbontar, T Murrell, A Defazio, CL Zitnick, N Yakubova, F Knoll, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 250 | 2020 |
| Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge F Knoll, T Murrell, A Sriram, N Yakubova, J Zbontar, M Rabbat, A Defazio, ... Magnetic resonance in medicine 84 (6), 3054-3070, 2020 | 185 | 2020 |
| Using deep learning to accelerate knee MRI at 3 T: results of an interchangeability study MP Recht, J Zbontar, DK Sodickson, F Knoll, N Yakubova, A Sriram, ... American Journal of Roentgenology 215 (6), 1421-1429, 2020 | 127 | 2020 |
| GrappaNet: Combining parallel imaging with deep learning for multi-coil MRI reconstruction A Sriram, J Zbontar, T Murrell, CL Zitnick, A Defazio, DK Sodickson Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 97 | 2020 |
| TorchKbNufft: A high-level, hardware-agnostic non-uniform fast Fourier transform MJ Muckley, R Stern, T Murrell, F Knoll ISMRM Workshop on Data Sampling & Image Reconstruction 22, 2020 | 49 | 2020 |
| PyTorchVideo: A deep learning library for video understanding H Fan, T Murrell, H Wang, KV Alwala, Y Li, Y Li, B Xiong, N Ravi, M Li, ... Proceedings of the 29th ACM international conference on multimedia, 3783-3786, 2021 | 42 | 2021 |
| fastMRI: An open dataset and benchmarks for accelerated MRI. arXiv 2018 J Zbontar, F Knoll, A Sriram, T Murrell, Z Huang, MJ Muckley, A Defazio, ... arXiv preprint arXiv:1811.08839, 2011 | 26 | 2011 |
| Suggestion of content within augmented-reality environments JD Stahl, N Sead, T Murrell, GDL Germe, S Kish US Patent 10,719,989, 2020 | 20 | 2020 |
| MRI banding removal via adversarial training A Defazio, T Murrell, M Recht Advances in Neural Information Processing Systems 33, 7660-7670, 2020 | 18 | 2020 |
| Sharing and Presentation of Content Within Augmented-Reality Environments JD Stahl, N Sead, T Murrell, GDL Germe, S Kish US Patent App. 16/112,518, 2020 | 17 | 2020 |
| Exploring the acceleration limits of deep learning variational network–based two-dimensional brain MRI A Radmanesh, MJ Muckley, T Murrell, E Lindsey, A Sriram, F Knoll, ... Radiology: Artificial Intelligence 4 (6), e210313, 2022 | 12 | 2022 |
| Dynamic graceful degradation of augmented-reality effects AC Romea, T Murrell, HGP Corchs, K Ramnath, TW Meyer, J Li, S Kish US Patent 10,796,185, 2020 | 7 | 2020 |
| Systems and methods for audio-based augmented reality V Vishwanathan, T Murrell US Patent App. 15/850,190, 2019 | 3 | 2019 |
| PyTorchVideo H Fan, T Murrell, H Wang, KV Alwala, Y Li, Y Li, B Xiong, N Ravi, M Li, ... Proceedings of the 29th ACM International Conference on Multimedia, 2021 | | 2021 |
| Multi-device mapping and collaboration in augmented-reality environments JD Stahl, N Sead, T Murrell, GDL Germe, S Kish US Patent 10,854,004, 2020 | | 2020 |
| fastMRI: An open dataset and benchmarks for accelerated MRI. arXiv J Zbontar, F Knoll, A Sriram, T Murrell, Z Huang, MJ Muckley, YW Lui | | 2018 |
| The Epidermolysis Bullosa Disease Activity and Scarring Index (EBDASI) mobile phone application A Harris, S Jain, T Murrell, D Murrell JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY 72 (5), AB122-AB122, 2015 | | 2015 |
| Properties of 2D MR image reconstructions with deep neural networks at high acceleration rates MJ Muckley, T Murrell, A Radmanesh, F Knoll, Z Huang, A Sriram, ... | | |
Anuroop SriramMeta FAIRVerified email at alumni.cmu.edu
