| Year |
Citation |
Score |
| 2023 |
Masutani EM, Chandrupatla RS, Wang S, Zocchi C, Hahn LD, Horowitz M, Jacobs K, Kligerman S, Raimondi F, Patel A, Hsiao A. Deep Learning Synthetic Strain: Quantitative Assessment of Regional Myocardial Wall Motion at MRI. Radiology. Cardiothoracic Imaging. 5: e220202. PMID 37404797 DOI: 10.1148/ryct.220202 |
0.726 |
|
| 2023 |
Srinivas S, Masutani E, Norbash A, Hsiao A. Deep learning phase error correction for cerebrovascular 4D flow MRI. Scientific Reports. 13: 9095. PMID 37277401 DOI: 10.1038/s41598-023-36061-z |
0.734 |
|
| 2021 |
You S, Masutani EM, Alley MT, Vasanawala SS, Taub PR, Liau J, Roberts AC, Hsiao A. Deep Learning Automated Background Phase Error Correction for Abdominopelvic 4D Flow MRI. Radiology. 211270. PMID 34846200 DOI: 10.1148/radiol.2021211270 |
0.749 |
|
| 2021 |
Hurt B, Rubel MA, Masutani EM, Jacobs K, Hahn L, Horowitz M, Kligerman S, Hsiao A. Radiologist-supervised Transfer Learning: Improving Radiographic Localization of Pneumonia and Prognostication of Patients With COVID-19. Journal of Thoracic Imaging. PMID 34710891 DOI: 10.1097/RTI.0000000000000618 |
0.721 |
|
| 2021 |
Jacobs K, Hahn L, Horowitz M, Kligerman S, Vasanawala S, Hsiao A. Structural Heart 4D Flow MRI for Hemodynamic Assessment: How We Do It. Ajr. American Journal of Roentgenology. PMID 34076463 DOI: 10.2214/AJR.21.25978 |
0.318 |
|
| 2020 |
Retson TA, Masutani EM, Golden D, Hsiao A. Clinical Performance and Role of Expert Supervision of Deep Learning for Cardiac Ventricular Volumetry: A Validation Study. Radiology. Artificial Intelligence. 2: e190064. PMID 32797119 DOI: 10.1148/ryai.2020190064 |
0.735 |
|
| 2020 |
Contijoch FJ, Horowitz M, Masutani E, Kligerman S, Hsiao A. 4D Flow Vorticity Visualization Predicts Regions of Quantitative Flow Inconsistency for Optimal Blood Flow Measurement. Radiology. Cardiothoracic Imaging. 2: e190054. PMID 32715299 DOI: 10.1148/Ryct.2020190054 |
0.724 |
|
| 2020 |
Masutani EM, Bahrami N, Hsiao A. Deep Learning Single-Frame and Multiframe Super-Resolution for Cardiac MRI. Radiology. 192173. PMID 32286192 DOI: 10.1148/Radiol.2020192173 |
0.754 |
|
| 2020 |
Hurt B, Kligerman S, Hsiao A. Deep Learning Localization of Pneumonia: 2019 Coronavirus (COVID-19) Outbreak. Journal of Thoracic Imaging. PMID 32205822 DOI: 10.1097/Rti.0000000000000512 |
0.317 |
|
| 2020 |
Hurt B, Yen A, Kligerman S, Hsiao A. Augmenting Interpretation of Chest Radiographs With Deep Learning Probability Maps. Journal of Thoracic Imaging. PMID 32205817 DOI: 10.1097/Rti.0000000000000505 |
0.38 |
|
| 2020 |
Cunha GM, Hasenstab KA, Higaki A, Wang K, Delgado T, Brunsing RL, Schlein A, Schwartzman A, Hsiao A, Sirlin CB, Fowler KJ. Convolutional neural network-automated hepatobiliary phase adequacy evaluation may optimize examination time. European Journal of Radiology. 124: 108837. PMID 31958630 DOI: 10.1016/J.Ejrad.2020.108837 |
0.334 |
|
| 2019 |
Wang K, Mamidipalli A, Retson T, Bahrami N, Hasenstab K, Blansit K, Bass E, Delgado T, Cunha G, Middleton MS, Loomba R, Neuschwander-Tetri BA, Sirlin CB, Hsiao A. Automated CT and MRI Liver Segmentation and Biometry Using a Generalized Convolutional Neural Network. Radiology. Artificial Intelligence. 1. PMID 32582883 DOI: 10.1148/ryai.2019180022 |
0.722 |
|
| 2019 |
Blansit K, Retson T, Masutani E, Bahrami N, Hsiao A. Deep Learning-based Prescription of Cardiac MRI Planes. Radiology. Artificial Intelligence. 1: e180069. PMID 32090204 DOI: 10.1148/ryai.2019180069 |
0.725 |
|
| 2019 |
Hasenstab KA, Cunha GM, Higaki A, Ichikawa S, Wang K, Delgado T, Brunsing RL, Schlein A, Bittencourt LK, Schwartzman A, Fowler KJ, Hsiao A, Sirlin CB. Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images. European Radiology Experimental. 3: 43. PMID 31655943 DOI: 10.1186/S41747-019-0120-7 |
0.367 |
|
| 2019 |
Lucas A, Wang K, Santillan C, Hsiao A, Sirlin CB, Murphy PM. Image Annotation by Eye Tracking: Accuracy and Precision of Centerlines of Obstructed Small-Bowel Segments Placed Using Eye Trackers. Journal of Digital Imaging. PMID 31144146 DOI: 10.1007/S10278-018-0169-5 |
0.311 |
|
| 2019 |
Retson TA, Besser AH, Sall S, Golden D, Hsiao A. Machine Learning and Deep Neural Networks in Thoracic and Cardiovascular Imaging. Journal of Thoracic Imaging. 34: 192-201. PMID 31009397 DOI: 10.1097/Rti.0000000000000385 |
0.412 |
|
| 2019 |
Bahrami N, Retson T, Blansit K, Wang K, Hsiao A. Automated selection of myocardial inversion time with a convolutional neural network: Spatial temporal ensemble myocardium inversion network (STEMI-NET). Magnetic Resonance in Medicine. PMID 30714197 DOI: 10.1002/Mrm.27680 |
0.738 |
|
| 2019 |
Carberry T, Murthy R, Hsiao A, Petko C, Moore J, Lamberti J, Hegde S. Fontan Revision: Presurgical Planning Using Four-Dimensional (4D) Flow and Three-Dimensional (3D) Printing. World Journal For Pediatric & Congenital Heart Surgery. 2150135118799641. PMID 30630383 DOI: 10.1177/2150135118799641 |
0.368 |
|
| 2019 |
Scott A, Kim P, Tran H, Brambatti M, Ignatyeva Y, Rosenberg S, Kligerman S, Hsiao A, Pretorius V, Adler E, Contijoch F. Cardiac CT Provides Complementary Parameters of Right Ventricle Function in LVAD Patients The Journal of Heart and Lung Transplantation. 38: S459. DOI: 10.1016/J.Healun.2019.01.1170 |
0.33 |
|
| 2018 |
Chelu RG, Horowitz M, Sucha D, Kardys I, Ingremeau D, Vasanawala S, Nieman K, Paul JF, Hsiao A. Evaluation of atrial septal defects with 4D flow MRI-multilevel and inter-reader reproducibility for quantification of shunt severity. Magma (New York, N.Y.). PMID 30171383 DOI: 10.1007/S10334-018-0702-Z |
0.393 |
|
| 2018 |
Feneis JF, Kyubwa E, Atianzar K, Cheng JY, Alley MT, Vasanawala SS, Demaria AN, Hsiao A. 4D flow MRI quantification of mitral and tricuspid regurgitation: Reproducibility and consistency relative to conventional MRI. Journal of Magnetic Resonance Imaging : Jmri. PMID 29638024 DOI: 10.1002/Jmri.26040 |
0.385 |
|
| 2018 |
Masutani EM, Contijoch F, Kyubwa E, Cheng J, Alley MT, Vasanawala S, Hsiao A. Volumetric segmentation-free method for rapid visualization of vascular wall shear stress using 4D flow MRI. Magnetic Resonance in Medicine. PMID 29516632 DOI: 10.1002/Mrm.27159 |
0.72 |
|
| 2018 |
Li CQ, Hsiao A, Hattangadi-Gluth J, Handwerker J, Farid N. Early Hemodynamic Response Assessment of Stereotactic Radiosurgery for a Cerebral Arteriovenous Malformation Using 4D Flow MRI. Ajnr. American Journal of Neuroradiology. PMID 29371257 DOI: 10.3174/Ajnr.A5535 |
0.359 |
|
| 2018 |
Simon A, Li C, Karunamuni R, Retson T, Handwerker J, Farid N, Hsiao A, Hattangadi-Gluth J. Novel 4D-Flow MRI to Assess Quantitative Arterial Hemodynamic Response after Brain Stereotactic Radiosurgery (SRS) for Cerebral Arteriovenous Malformations (AVMs) International Journal of Radiation Oncology*Biology*Physics. 102: S113-S114. DOI: 10.1016/J.Ijrobp.2018.06.285 |
0.327 |
|
| 2017 |
Malone CD, Banerjee A, Alley MT, Vasanawala SS, Roberts AC, Hsiao A. Pelvic Blood Flow Predicts Fibroid Volume and Embolic Required for Uterine Fibroid Embolization: A Pilot Study With 4D Flow MR Angiography. Ajr. American Journal of Roentgenology. 1-12. PMID 29090998 DOI: 10.2214/Ajr.17.18127 |
0.386 |
|
| 2017 |
Malone C, Banerjee A, Hahn M, Alley M, Vasanawala S, Roberts A, Hsiao A. High spatiotemporal resolution MRI/MRA with 4D flow in assessment of patients for uterine fibroid embolization Journal of Vascular and Interventional Radiology. 28: S49-S50. DOI: 10.1016/J.Jvir.2016.12.703 |
0.375 |
|
| 2017 |
Stendardi W, Kim P, Hsiao A. Molecular Imaging of the Transplanted Heart: A Mechanistic Approach to Graft Survival Current Cardiovascular Imaging Reports. 10. DOI: 10.1007/S12410-017-9422-4 |
0.331 |
|
| 2016 |
Chelu RG, Wanambiro KW, Hsiao A, Swart LE, Voogd T, van den Hoven AT, van Kranenburg M, Coenen A, Boccalini S, Wielopolski PA, Vogel MW, Krestin GP, Vasanawala SS, Budde RP, Roos-Hesselink JW, et al. Cloud-processed 4D CMR flow imaging for pulmonary flow quantification. European Journal of Radiology. 85: 1849-56. PMID 27666627 DOI: 10.1016/J.Ejrad.2016.07.018 |
0.403 |
|
| 2016 |
Saru RG, Wanambiro K, Hsiao A, Boccalini S, Coenen A, Budde R, Wielopolski P, Vasanawala S, Roos-Hesselink J, Nieman K. Global left ventricular function quantification with CMR 4D Flow Journal of Cardiovascular Magnetic Resonance. 18. DOI: 10.1186/1532-429X-18-S1-P308 |
0.342 |
|
| 2016 |
Saru RG, Wanambiro K, Hsiao A, Swart LE, Boccalini S, Vogel M, Budde R, Vasanawala S, Roos-Hesselink J, Nieman K. Remote CMR 4D Flow Quantification of Pulmonary Flow Journal of Cardiovascular Magnetic Resonance. 18. DOI: 10.1186/1532-429X-18-S1-P307 |
0.325 |
|
| 2016 |
Hegde S, Hsiao A. Improving the Fontan: Pre-surgical planning using four dimensional (4D) flow, bio-mechanical modeling and three dimensional (3D) printing Progress in Pediatric Cardiology. 43: 57-60. DOI: 10.1016/J.Ppedcard.2016.07.012 |
0.301 |
|
| 2015 |
Chelu RG, van den Bosch AE, van Kranenburg M, Hsiao A, van den Hoven AT, Ouhlous M, Budde RP, Beniest KM, Swart LE, Coenen A, Lubbers MM, Wielopolski PA, Vasanawala SS, Roos-Hesselink JW, Nieman K. Qualitative grading of aortic regurgitation: a pilot study comparing CMR 4D flow and echocardiography. The International Journal of Cardiovascular Imaging. PMID 26498478 DOI: 10.1007/S10554-015-0779-7 |
0.401 |
|
| 2015 |
Zhang T, Yousaf U, Hsiao A, Cheng JY, Alley MT, Lustig M, Pauly JM, Vasanawala SS. Clinical performance of a free-breathing spatiotemporally accelerated 3-D time-resolved contrast-enhanced pediatric abdominal MR angiography. Pediatric Radiology. PMID 26040509 DOI: 10.1007/S00247-015-3384-Y |
0.329 |
|
| 2015 |
Hsiao A, Yousaf U, Alley MT, Lustig M, Chan FP, Newman B, Vasanawala SS. Improved quantification and mapping of anomalous pulmonary venous flow with four-dimensional phase-contrast MRI and interactive streamline rendering. Journal of Magnetic Resonance Imaging : Jmri. PMID 25914149 DOI: 10.1002/Jmri.24928 |
0.415 |
|
| 2015 |
Vasanawala SS, Hanneman K, Alley MT, Hsiao A. Congenital heart disease assessment with 4D flow MRI. Journal of Magnetic Resonance Imaging : Jmri. PMID 25708923 DOI: 10.1002/Jmri.24856 |
0.413 |
|
| 2015 |
Hsiao A, Tariq U, Alley MT, Lustig M, Vasanawala SS. Inlet and outlet valve flow and regurgitant volume may be directly and reliably quantified with accelerated, volumetric phase-contrast MRI. Journal of Magnetic Resonance Imaging : Jmri. 41: 376-85. PMID 24677253 DOI: 10.1002/Jmri.24578 |
0.417 |
|
| 2015 |
Hsiao A, Ekram T, Alley MT, Chan F, Newman B, Vasanawala S. Improved quantification of absolute and differential pulmonary flow with highly-accelerated 4D-PC MRI Journal of Cardiovascular Magnetic Resonance. 1-2. DOI: 10.1186/1532-429X-17-S1-Q93 |
0.397 |
|
| 2013 |
Tariq U, Hsiao A, Alley M, Zhang T, Lustig M, Vasanawala SS. Venous and arterial flow quantification are equally accurate and precise with parallel imaging compressed sensing 4D phase contrast MRI. Journal of Magnetic Resonance Imaging : Jmri. 37: 1419-26. PMID 23172846 DOI: 10.1002/Jmri.23936 |
0.412 |
|
| 2013 |
Ong F, Uecker M, Tariq U, Hsiao A, Vasanawala SS, Lustig M. Improved visualization and quantification of 4D flow data using divergence-free wavelets Journal of Cardiovascular Magnetic Resonance. 15. DOI: 10.1186/1532-429X-15-S1-E26 |
0.354 |
|
| 2012 |
Hsiao A, Lustig M, Alley MT, Murphy MJ, Vasanawala SS. Evaluation of valvular insufficiency and shunts with parallel-imaging compressed-sensing 4D phase-contrast MR imaging with stereoscopic 3D velocity-fusion volume-rendered visualization. Radiology. 265: 87-95. PMID 22923717 DOI: 10.1148/Radiol.12120055 |
0.388 |
|
| 2012 |
Hsiao A, Lustig M, Alley MT, Murphy M, Chan FP, Herfkens RJ, Vasanawala SS. Rapid pediatric cardiac assessment of flow and ventricular volume with compressed sensing parallel imaging volumetric cine phase-contrast MRI. Ajr. American Journal of Roentgenology. 198: W250-9. PMID 22358022 DOI: 10.2214/Ajr.11.6969 |
0.439 |
|
| 2011 |
Hsiao A, Alley MT, Massaband P, Herfkens RJ, Chan FP, Vasanawala SS. Improved cardiovascular flow quantification with time-resolved volumetric phase-contrast MRI. Pediatric Radiology. 41: 711-20. PMID 21221566 DOI: 10.1007/S00247-010-1932-Z |
0.405 |
|
| 2009 |
Sears DD, Hsiao G, Hsiao A, Yu JG, Courtney CH, Ofrecio JM, Chapman J, Subramaniam S. Mechanisms of human insulin resistance and thiazolidinedione-mediated insulin sensitization. Proceedings of the National Academy of Sciences of the United States of America. 106: 18745-50. PMID 19841271 DOI: 10.1073/Pnas.0903032106 |
0.577 |
|
| 2008 |
Hsiao A, Subramaniam S. Bivariate microarray analysis: statistical interpretation of two-channel functional genomics data. Systems and Synthetic Biology. 2: 95-104. PMID 19680790 DOI: 10.1007/S11693-009-9033-8 |
0.451 |
|
| 2008 |
Walsh CT, Radeff-Huang J, Matteo R, Hsiao A, Subramaniam S, Stupack D, Brown JH. Thrombin receptor and RhoA mediate cell proliferation through integrins and cysteine-rich protein 61. Faseb Journal : Official Publication of the Federation of American Societies For Experimental Biology. 22: 4011-21. PMID 18687805 DOI: 10.1096/Fj.08-113266 |
0.407 |
|
| 2005 |
Hsiao A, Ideker T, Olefsky JM, Subramaniam S. VAMPIRE microarray suite: a web-based platform for the interpretation of gene expression data. Nucleic Acids Research. 33: W627-32. PMID 15980550 DOI: 10.1093/Nar/Gki443 |
0.441 |
|
| 2004 |
Hsiao A, Worrall DS, Olefsky JM, Subramaniam S. Variance-modeled posterior inference of microarray data: detecting gene-expression changes in 3T3-L1 adipocytes. Bioinformatics (Oxford, England). 20: 3108-27. PMID 15217816 DOI: 10.1093/Bioinformatics/Bth371 |
0.455 |
|
| Show low-probability matches. |