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Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies.

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Code

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myigitavci

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qiyuantian/DeepDTI

License: MIT
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chaineypung

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sbb-gh/PROSUB

License: Apache-2.0
State: the link answers
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Tools found in the code: Keras, Matplotlib, NumPy, SciPy, TensorFlow

Overview

Authors: Santiago Aja-Fernández, Carmen Martín-Martín, Álvaro Planchuelo-Gómez, Abrar Faiyaz, Md Nasir Uddin, Giovanni Schifitto, Abhishek Tiwari, Saurabh J Shigwan, Rajeev Kumar Singh, Tianshu Zheng, Zuozhen Cao, Dan Wu, Stefano B Blumberg, Snigdha Sen, Tobias Goodwin-Allcock, Paddy J Slator, Mehmet Yigit Avci, Zihan Li, Berkin Bilgic, Qiyuan Tian
and 25 other authorsXinyi Wang, Zihao Tang, Mariano Cabezas, Amelie Rauland, Dorit Merhof, Renata Manzano Maria, Vinícius Paraníba Campos, Tales Santini, Marcelo Andrade da Costa Vieira, SeyyedKazem HashemizadehKolowri, Edward DiBella, Chenxu Peng, Zhimin Shen, Zan Chen, Irfan Ullah, Merry Mani, Hesam Abdolmotalleby, Samuel Eckstrom, Steven H Baete, Patryk Filipiak, Tanxin Dong, Qiuyun Fan, Rodrigo de Luis-García, Antonio Tristán-Vega, Tomasz Pieciak
Journal: NeuroImage. Clinical
Published: 28 July 2023
Type: Research article
Status: code verified (how the code is found and verified)
DOI: 10.1016/j.nicl.2023.103483
License: CC BY-NC-ND
Institutions: Universidad de Valladolid (Spain), Cardiff University (United Kingdom), University of Rochester (United States), Zhejiang University (China), University College London (United Kingdom), Athinoula A. Martinos Center for Biomedical Imaging (United States), The University of Sydney (Australia), RWTH Aachen University (Germany), University of Regensburg (Germany), Universidade de São Paulo (Brazil), Western University (Canada), University of Utah (United States), Zhejiang University of Technology (China), University of Iowa (United States), New York University (United States), Tianjin University (China)
Categories: structural MRI / diffusion (modality), human (organism), pain (population), clinical / translational (subfield)

Data

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