| Title: |
Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies |
| Authors: |
Aja-Fernández, Santiago, Martín-Martín, Carmen, Planchuelo-Gómez, Álvaro, Faiyaz, Abrar, Uddin, Md Nasir, Schifitto, Giovanni, Tiwari, Abhishek, Shigwan, Saurabh J., Kumar Singh, Rajeev, Zheng, Tianshu, Cao, Zuozhen, Wu, Dan, Blumberg, Stefano B., Sen, Snigdha, Goodwin-Allcock, Tobias, Slator, Paddy J., Yigit Avci, Mehmet, Li, Zihan, Bilgic, Berkin, Tian, Qiyuan, Wang, Xinyi, Tang, Zihao, Cabezas, Mariano, Rauland, Amelie, Merhof, Dorit, Manzano Maria, Renata, Campos, Vinícius Paraníba, Santini, Tales, da Costa Vieira, Marcelo Andrade, HashemizadehKolowri, SeyyedKazem, DiBella, Edward, Peng, Chenxu, Shen, Zhimin, Chen, Zan, Ullah, Irfan, Mani, Merry, Abdolmotalleby, Hesam, Eckstrom, Samuel, Baete, Steven H., Filipiak, Patryk, Dong, Tanxin, Fan, Qiuyun, de Luis-García, Rodrigo, Tristán-Vega, Antonio, Pieciak, Tomasz |
| Source: |
In NeuroImage: Clinical 2023 39 |
| Database: |
ScienceDirect |
