المؤلفون: Aja-Fernández, Santiago, Martín-Martín, Carmen, Planchuelo Gomez, Alvaro, 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

وصف الملف: application/pdf

Relation: https://orca.cardiff.ac.uk/id/eprint/161499/1/Planchuelo-Gomez.%20Validation%20of%20Deep%20Learning.%20%20%20%20pub.pdf; Aja-Fernández, Santiago, Martín-Martín, Carmen, Planchuelo Gomez, Alvaro https://orca.cardiff.ac.uk/view/cardiffauthors/A25882224.html, 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. https://orca.cardiff.ac.uk/view/cardiffauthors/A2804230L.html orcid:0000-0001-6967-989X orcid:0000-0001-6967-989X, 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 and Pieciak, Tomasz 2023. Validation of Deep Learning techniques for quality augmentation in diffusion MRI for clinical studies. NeuroImage: Clinical 39 , 103483. 10.1016/j.nicl.2023.103483 https://doi.org/10.1016/j.nicl.2023.103483 file https://orca.cardiff.ac.uk/id/eprint/161499/1/Planchuelo-Gomez.%20Validation%20of%20Deep%20Learning.%20%20%20%20pub.pdf

الاتاحة: https://orca.cardiff.ac.uk/id/eprint/161499/
https://doi.org/10.1016/j.nicl.2023.103483
https://orca.cardiff.ac.uk/id/eprint/161499/1/Planchuelo-Gomez.%20Validation%20of%20Deep%20Learning.%20%20%20%20pub.pdf

المؤلفون: Deng, Lubin R., Harmata, Gail I.S., Barsotti, Ercole John, Williams, Aislinn J., Christensen, Gary E., Voss, Michelle W., Saleem, Arshaq, Rivera-Dompenciel, Adriana M., Richards, Jenny Gringer, Sathyaputri, Leela, Mani, Merry, Abdolmotalleby, Hesam, Fiedorowicz, Jess G., Xu, Jia, Shaffer, Joseph J., Wemmie, John, Magnotta, Vincent A.

المصدر: Faculty Publications

مصطلحات موضوعية: Anatomical imaging, Bipolar disorder, Diffusion weighted imaging, Machine learning, Magnetic resonance imaging, Resting state functional connectivity

Relation: https://digitalcommons.kansascity.edu/facultypub/675; https://pubmed.ncbi.nlm.nih.gov/39278469/

الاتاحة: https://digitalcommons.kansascity.edu/facultypub/675
https://doi.org/10.1016/j.jad.2024.09.025
https://pubmed.ncbi.nlm.nih.gov/39278469/