Albert Hsiao
Albert Hsiao
Professor; Radiology and Data Science, UC San Diego
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Zitiert von
Zitiert von
Fundamentals of diagnostic radiology
WE Brant, CA Helms
Lippincott Williams & Wilkins, 2012
COPDGene® 2019: redefining the diagnosis of chronic obstructive pulmonary disease
KE Lowe, EA Regan, A Anzueto, E Austin, JHM Austin, TH Beaty, ...
Chronic Obstructive Pulmonary Diseases: Journal of the COPD Foundation 6 (5 …, 2019
Mechanisms of human insulin resistance and thiazolidinedione-mediated insulin sensitization
DD Sears, G Hsiao, A Hsiao, JG Yu, CH Courtney, JM Ofrecio, ...
Proceedings of the National Academy of Sciences 106 (44), 18745-18750, 2009
Congenital heart disease assessment with 4D flow MRI
SS Vasanawala, K Hanneman, MT Alley, A Hsiao
Journal of Magnetic Resonance Imaging 42 (4), 870-886, 2015
Rapid pediatric cardiac assessment of flow and ventricular volume with compressed sensing parallel imaging volumetric cine phase-contrast MRI
A Hsiao, M Lustig, MT Alley, M Murphy, FP Chan, RJ Herfkens, ...
American Journal of Roentgenology 198 (3), W250-W259, 2012
Automated CT and MRI liver segmentation and biometry using a generalized convolutional neural network
K Wang, A Mamidipalli, T Retson, N Bahrami, K Hasenstab, K Blansit, ...
Radiology: Artificial Intelligence 1 (2), 180022, 2019
Variance-modeled posterior inference of microarray data: detecting gene-expression changes in 3T3-L1 adipocytes
A Hsiao, DS Worrall, JM Olefsky, S Subramaniam
Bioinformatics 20 (17), 3108-3127, 2004
VAMPIRE microarray suite: a web-based platform for the interpretation of gene expression data
A Hsiao, T Ideker, JM Olefsky, S Subramaniam
Nucleic acids research 33 (suppl_2), W627-W632, 2005
Venous and arterial flow quantification are equally accurate and precise with parallel imaging compressed sensing 4D phase contrast MRI
U Tariq, A Hsiao, M Alley, T Zhang, M Lustig, SS Vasanawala
Journal of Magnetic Resonance Imaging 37 (6), 1419-1426, 2013
Deep learning single-frame and multiframe super-resolution for cardiac MRI
EM Masutani, N Bahrami, A Hsiao
Radiology 295 (3), 552-561, 2020
Evaluation of valvular insufficiency and shunts with parallel-imaging compressed-sensing 4D phase-contrast MR imaging with stereoscopic 3D velocity-fusion volume-rendered …
A Hsiao, M Lustig, MT Alley, MJ Murphy, SS Vasanawala
Radiology 265 (1), 87-95, 2012
Machine learning and deep neural networks in thoracic and cardiovascular imaging
TA Retson, AH Besser, S Sall, D Golden, A Hsiao
Journal of thoracic imaging 34 (3), 192-201, 2019
Selective modulation of promoter recruitment and transcriptional activity of PPARγ
DD Sears, A Hsiao, JM Ofrecio, J Chapman, W He, JM Olefsky
Biochemical and biophysical research communications 364 (3), 515-521, 2007
Deep learning localization of pneumonia: 2019 coronavirus (COVID-19) outbreak
B Hurt, S Kligerman, A Hsiao
Journal of thoracic imaging 35 (3), W87-W89, 2020
4D flow MRI quantification of mitral and tricuspid regurgitation: reproducibility and consistency relative to conventional MRI
JF Feneis, E Kyubwa, K Atianzar, JY Cheng, MT Alley, SS Vasanawala, ...
Journal of Magnetic Resonance Imaging 48 (4), 1147-1158, 2018
Robust 4D flow denoising using divergence‐free wavelet transform
F Ong, M Uecker, U Tariq, A Hsiao, MT Alley, SS Vasanawala, M Lustig
Magnetic resonance in medicine 73 (2), 828-842, 2015
Inlet and outlet valve flow and regurgitant volume may be directly and reliably quantified with accelerated, volumetric phase‐contrast MRI
A Hsiao, U Tariq, MT Alley, M Lustig, SS Vasanawala
Journal of Magnetic Resonance Imaging 41 (2), 376-385, 2015
Ferumoxytol as an off-label contrast agent in body 3T MR angiography: a pilot study in children
N Ruangwattanapaisarn, A Hsiao, SS Vasanawala
Pediatric radiology 45, 831-839, 2015
Improved cardiovascular flow quantification with time-resolved volumetric phase-contrast MRI
A Hsiao, MT Alley, P Massaband, RJ Herfkens, FP Chan, SS Vasanawala
Pediatric radiology 41, 711-720, 2011
Deep learning–based prescription of cardiac MRI planes
K Blansit, T Retson, E Masutani, N Bahrami, A Hsiao
Radiology: Artificial Intelligence 1 (6), e180069, 2019
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