Funder
Intel Technology India Pvt. Ltd.
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Reference25 articles.
1. L.F.W. Anthony, B. Kanding, R. Selvan, Carbontracker: tracking and predicting the carbon footprint of training deep learning models, in ICML Workshop on Challenges in Deploying and monitoring Machine Learning Systems (2020). arXiv:2007.03051
2. N. Bien, P. Rajpurkar, R.L. Ball, J. Irvin, A. Park, E. Jones, M. Bereket, B.N. Patel, K.W. Yeom, K. Shpanskaya et al., Deep-learning-assisted diagnosis for knee magnetic resonance imaging: development and retrospective validation of mrnet. PLoS Med. 15(11), e1002699 (2018)
3. D. China, F. Tom, S. Nandamuri, A. Kar, M. Srinivasan, P. Mitra, D. Sheet, Ultracompression: framework for high density compression of ultrasound volumes using physics modeling deep neural networks, in Int. Symp. Biomed. Imaging (2019), pp. 798–801
4. L. Gasieniec, M. Karpinski, W. Plandowski, W. Rytter, Efficient algorithms for lempel-ziv encoding, in Scandinavian Workshop on Algorithm Theory (Springer, 1996), pp. 392–403
5. P. Guo, D. Li, X. Li, Deep oct image compression with convolutional neural networks. Biomed. Opt. Express 11(7), 3543–3554 (2020)