Entries of Ullah, Irfan on the publication server
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Number of items: 2.
2023
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 and Pieciak, Tomasz
(2023)
Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies.
NeuroImage: Clinical 39, p. 103483.
Fulltext not available.
, 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 and Pieciak, Tomasz
(2023)
Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies.
NeuroImage: Clinical 39, p. 103483.
Fulltext not available.
2021
Ullah, Irfan, Prévost, Jérémie, Ladinsky, Mark S., Stone, Helen, Lu, Maolin , Anand, Sai Priya, Beaudoin-Bussières, Guillaume, Symmes, Kelly, Benlarbi, Mehdi, Ding, Shilei, Gasser, Romain, Fink, Corby, Chen, Yaozong , Tauzin, Alexandra , Goyette, Guillaume, Bourassa, Catherine, Medjahed, Halima, Mack, Matthias, Chung, Kunho, Wilen, Craig B., Dekaban, Gregory A. , Dikeakos, Jimmy D., Bruce, Emily A., Kaufmann, Daniel E., Stamatatos, Leonidas, McGuire, Andrew T., Richard, Jonathan, Pazgier, Marzena, Bjorkman, Pamela J., Mothes, Walther, Finzi, Andrés, Kumar, Priti and Uchil, Pradeep D.
(2021)
Live imaging of SARS-CoV-2 infection in mice reveals that neutralizing antibodies require Fc function for optimal efficacy.
Immunity 54 (9), 2143-2158.e15.
Fulltext not available.
, Anand, Sai Priya, Beaudoin-Bussières, Guillaume, Symmes, Kelly, Benlarbi, Mehdi, Ding, Shilei, Gasser, Romain, Fink, Corby, Chen, Yaozong , Tauzin, Alexandra , Goyette, Guillaume, Bourassa, Catherine, Medjahed, Halima, Mack, Matthias, Chung, Kunho, Wilen, Craig B., Dekaban, Gregory A. , Dikeakos, Jimmy D., Bruce, Emily A., Kaufmann, Daniel E., Stamatatos, Leonidas, McGuire, Andrew T., Richard, Jonathan, Pazgier, Marzena, Bjorkman, Pamela J., Mothes, Walther, Finzi, Andrés, Kumar, Priti and Uchil, Pradeep D.
(2021)
Live imaging of SARS-CoV-2 infection in mice reveals that neutralizing antibodies require Fc function for optimal efficacy.
Immunity 54 (9), 2143-2158.e15.
Fulltext not available.