Arjun D. Desai, Andrew M. Schmidt, Elka B. Rubin, Christopher M. Sandino, Marianne Black, Valentina Mazzoli, Kathryn J. Stevens, Robert Boutin, Christopher Ré, Garry Gold, Brian A. Hargreaves, Akshay Chaudhari. SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation. In Joaquin Vanschoren, Sai Kit Yeung, editors, Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual. 2021. [doi]
@inproceedings{DesaiSRSBMSBRGH21,
title = {SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation},
author = {Arjun D. Desai and Andrew M. Schmidt and Elka B. Rubin and Christopher M. Sandino and Marianne Black and Valentina Mazzoli and Kathryn J. Stevens and Robert Boutin and Christopher Ré and Garry Gold and Brian A. Hargreaves and Akshay Chaudhari},
year = {2021},
url = {https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/hash/03c6b06952c750899bb03d998e631860-Abstract-round2.html},
researchr = {https://researchr.org/publication/DesaiSRSBMSBRGH21},
cites = {0},
citedby = {0},
booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual},
editor = {Joaquin Vanschoren and Sai Kit Yeung},
}