Park J, Kang C, Min J, You Y, Jeong W, Ahn H
Sci Rep. 2024; 14(1):25284.
PMID: 39455676
PMC: 11511938.
DOI: 10.1038/s41598-024-76418-6.
Rajalekshmi R, Agrawal D
J Orthop Sports Med. 2024; 6(2):89-106.
PMID: 39036742
PMC: 11258965.
DOI: 10.26502/josm.511500147.
Rahmani V, Peltonen J, Amarilla S, Hmelnikov D, Ruohoniemi M, Spillmann T
Animals (Basel). 2023; 13(15).
PMID: 37570325
PMC: 10417338.
DOI: 10.3390/ani13152517.
Campana A, Gandomkar Z, Giannotti N, Reed W
J Med Radiat Sci. 2023; 70(4):462-478.
PMID: 37534540
PMC: 10715343.
DOI: 10.1002/jmrs.709.
Lozinski T, Ciebiera M, Luczynska E, Filipowska J, Czekierdowski A
Diagnostics (Basel). 2021; 11(4).
PMID: 33923667
PMC: 8072686.
DOI: 10.3390/diagnostics11040715.
Transfer learning in deep neural network-based receiver coil sensitivity map estimation.
Arshad M, Qureshi M, Inam O, Omer H
MAGMA. 2021; 34(5):717-728.
PMID: 33772694
DOI: 10.1007/s10334-021-00919-y.
Task group 284 report: magnetic resonance imaging simulation in radiotherapy: considerations for clinical implementation, optimization, and quality assurance.
Glide-Hurst C, Paulson E, McGee K, Tyagi N, Hu Y, Balter J
Med Phys. 2021; 48(7):e636-e670.
PMID: 33386620
PMC: 8761371.
DOI: 10.1002/mp.14695.
Health outcomes and experiences of direct-to-consumer high-intensity screening using both whole-body magnetic resonance imaging and cardiological examination.
Hommes D, Klatte D, Otten W, Beltman M, Klass G, Zand A
PLoS One. 2020; 15(11):e0242066.
PMID: 33216779
PMC: 7678982.
DOI: 10.1371/journal.pone.0242066.
3.0 T magnetic resonance imaging scanning on different body regions in patients with pacemakers.
Ning X, Li X, Fan X, Chen K, Hua W, Liu Z
J Interv Card Electrophysiol. 2020; 61(3):545-550.
PMID: 32808082
DOI: 10.1007/s10840-020-00854-3.
Neurological Soft Signs and Brain Network Abnormalities in Schizophrenia.
Kong L, Herold C, Cheung E, Chan R, Schroder J
Schizophr Bull. 2019; 46(3):562-571.
PMID: 31773162
PMC: 7147582.
DOI: 10.1093/schbul/sbz118.
Prefronto-temporal white matter microstructural alterations 20 years after the diagnosis of type 1 diabetes mellitus.
Yoon S, Kim J, Musen G, Renshaw P, Hwang J, Bolo N
Pediatr Diabetes. 2017; 19(3):478-485.
PMID: 28929564
PMC: 5860922.
DOI: 10.1111/pedi.12574.
Correlation among Magnetic Resonance Imaging Parameters of Brain in Preterm Neonates at Term Equivalent Age.
Balakrishnan U, Amboiram P, Ninan B, Chandrasekar A, Rangasami R
Indian J Pediatr. 2016; 84(1):13-19.
PMID: 27619814
DOI: 10.1007/s12098-016-2215-y.
Distinguishing intrahepatic cholangiocarcinoma from poorly differentiated hepatocellular carcinoma using precontrast and gadoxetic acid-enhanced MRI.
Asayama Y, Nishie A, Ishigami K, Ushijima Y, Takayama Y, Fujita N
Diagn Interv Radiol. 2015; 21(2):96-104.
PMID: 25698097
PMC: 4463313.
DOI: 10.5152/dir.2014.13013.
MR imaging of the fetal brain at 1.5T and 3.0T field strengths: comparing specific absorption rate (SAR) and image quality.
Krishnamurthy U, Neelavalli J, Mody S, Yeo L, Jella P, Saleem S
J Perinat Med. 2014; 43(2):209-20.
PMID: 25324440
PMC: 5987203.
DOI: 10.1515/jpm-2014-0268.
The clinical utility of fMRI for identifying covert awareness in the vegetative state: a comparison of sensitivity between 3T and 1.5T.
Fernandez-Espejo D, Norton L, Owen A
PLoS One. 2014; 9(4):e95082.
PMID: 24733575
PMC: 3986373.
DOI: 10.1371/journal.pone.0095082.