Deep Learning with Sparse Representations for Biomedical Signals-Reference-Cited by-同舟云学术

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Deep Learning with Sparse Representations for Biomedical Signals

Published:2023-05-26 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Microwave, Optical, and Communication Engineering (ICMOCE)
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Author:

Lakshmisha Nithin¹,Tarafdar Kishore Kumar²,Butoliya Aman²,Tiwari Shivang²,Saifee Qutubuddin³,Kumar Dushyant⁴,Jayasundar Rama⁴,Mukherji Soumyo¹,Gadre Vikram M.²

Affiliation:

1. Indian Institute of Technology,Department of Biosciences and Bioengineering,Bombay

2. Indian Institute of Technology,Department of Electrical Engineering,Bombay

3. LSI India R&D Pvt. Ltd. (Broadcom)

4. All India Institute of Medical Sciences,Department of NMR,New Delhi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10164833/10164838/10167363.pdf?arnumber=10167363

Reference40 articles.

1. Deep adaptive wavelet network;rodriguez;Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision,2020

2. A review of medical image segmentation: methods and available software;withey;J of Bioelectro-Magnetism,2008

3. Deep learning in the wavelet domain;cotter;ArXiv Preprint,2018

4. U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

5. Deep Residual Learning for Image Recognition

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