A Wavelet Scattering Convolutional Network for Magnetic Resonance Spectroscopy Signal Quantitation-Reference-Cited by-同舟云学术

A Wavelet Scattering Convolutional Network for Magnetic Resonance Spectroscopy Signal Quantitation

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies
language:
Short-container-title:

Author:

Shamaei Amirmohammad¹²,Starčuková Jana¹,Starčuk Jr. Zenon¹

Affiliation:

1. Institute of Scientific Instruments of the CAS, Královopolská 147, 612 64 Brno, Czech Republic, --- Select a Country ---

2. Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technická 3058/10, 616 00 Brno, Czech Republic, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spectro-ViT: A vision transformer model for GABA-edited MEGA-PRESS reconstruction using spectrograms;Magnetic Resonance Imaging;2024-11

2. A review of machine learning applications for the proton MR spectroscopy workflow;Magnetic Resonance in Medicine;2023-07-04

3. Physics-informed deep learning approach to quantification of human brain metabolites from magnetic resonance spectroscopy data;Computers in Biology and Medicine;2023-05

4. A New Acoustical Autonomous Method for Identifying Endangered Whale Calls: A Case Study of Blue Whale and Fin Whale;Sensors;2023-03-12

5. Physics-informed Deep Learning Approach to Quantification of Human Brain Metabolites from Magnetic Resonance Spectroscopy Data;2022-10-17