Department of Radiology
Found 16 results
Filters: Keyword is Artificial Intelligence  [Clear All Filters]
2024
Subramanian K, Muench B, Shostak E, Coffey A, Sawoszczyk L, Gao F, Leep A, Rajaram R, Hornung J, O'Dwyer E.  2024.  Lobar quantification of pulmonary perfusion prior to minimally invasive lung reduction improves prediction of postprocedure outcomes: A pilot study.. Clin Physiol Funct Imaging. 44(1):44-48.
Dishner KA, McRae-Posani B, Bhowmik A, Jochelson MS, Holodny A, Pinker K, Eskreis-Winkler S, Stember JN.  2024.  A Survey of Publicly Available MRI Datasets for Potential Use in Artificial Intelligence Research.. J Magn Reson Imaging. 59(2):450-480.
2023
Webster EM, Ahsan MDanyal, Perez L, Levi SR, Thomas C, Christos P, Hickner A, Hamilton JG, Babagbemi K, Cantillo E et al..  2023.  Chatbot Artificial Intelligence for Genetic Cancer Risk Assessment and Counseling: A Systematic Review and Meta-Analysis.. JCO Clin Cancer Inform. 7:e2300123.
Pham N, Hill V, Rauschecker A, Lui Y, Niogi S, Fillipi CG, Chang P, Zaharchuk G, Wintermark M.  2023.  Critical Appraisal of Artificial Intelligence-Enabled Imaging Tools Using the Levels of Evidence System.. AJNR Am J Neuroradiol. 44(5):E21-E28.
Dev H, Zhu C, Sharbatdaran A, Raza SI, Wang SJ, Romano DJ, Goel A, Teichman K, Moghadam MC, Shih G et al..  2023.  Effect of Averaging Measurements From Multiple MRI Pulse Sequences on Kidney Volume Reproducibility in Autosomal Dominant Polycystic Kidney Disease.. J Magn Reson Imaging. 58(4):1153-1160.
Sun Z, Ong H, Kennedy P, Tang L, Chen S, Elias J, Lucas E, Shih G, Peng Y.  2023.  Evaluating GPT4 on Impressions Generation in Radiology Reports.. Radiology. 307(5):e231259.
Demehri S, Baffour FI, Klein JG, Ghotbi E, Ibad HAhmed, Moradi K, Taguchi K, Fritz J, Carrino JA, Guermazi A et al..  2023.  Musculoskeletal CT Imaging: State-of-the-Art Advancements and Future Directions.. Radiology. 308(2):e230344.
Amir T, Coffey K, Sevilimedu V, Fardanesh R, Mango VL.  2023.  A role for breast ultrasound Artificial Intelligence decision support in the evaluation of small invasive lobular carcinomas.. Clin Imaging. 101:77-85.
Kim H, Kang SWon, Kim J-H, Nagar H, Sabuncu M, Margolis DJA, Kim CKyo.  2023.  The role of AI in prostate MRI quality and interpretation: Opportunities and challenges.. Eur J Radiol. 165:110887.
2011
Singh G, Raj A, Kressler B, Nguyen TD, Spincemaille P, Zabih R, Wang Y.  2011.  A fast Edge-preserving Bayesian reconstruction method for Parallel Imaging applications in cardiac MRI.. Magn Reson Med. 65(1):184-9.
2010
de Rochefort L, Liu T, Kressler B, Liu J, Spincemaille P, Lebon V, Wu J, Wang Y.  2010.  Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: validation and application to brain imaging.. Magn Reson Med. 63(1):194-206.
2009
Wang S, Kim S, Chawla S, Wolf RL, Zhang W-G, O'Rourke DM, Judy KD, Melhem ER, Poptani H.  2009.  Differentiation between glioblastomas and solitary brain metastases using diffusion tensor imaging.. Neuroimage. 44(3):653-60.
Nehmeh SA, El-Zeftawy H, Greco C, Schwartz J, Erdi YE, Kirov A, Schmidtlein CR, Gyau AB, Larson SM, Humm JL.  2009.  An iterative technique to segment PET lesions using a Monte Carlo based mathematical model.. Med Phys. 36(10):4803-9.
2008
Codella NCF, Weinsaft JW, Cham MD, Janik M, Prince MR, Wang Y.  2008.  Left ventricle: automated segmentation by using myocardial effusion threshold reduction and intravoxel computation at MR imaging.. Radiology. 248(3):1004-12.
2007
Chi P-CMelinda, Mawlawi O, Nehmeh SA, Erdi YE, Balter PA, Luo D, Mohan R, Pan T.  2007.  Design of respiration averaged CT for attenuation correction of the PET data from PET/CT.. Med Phys. 34(6):2039-47.
2006
Singh G, Nguyen T, Kressler B, Spincemaille P, Raj A, Zabih R, Wang Y.  2006.  Improved signal-to-noise ratio in parallel coronary artery magnetic resonance angiography using graph cuts based Bayesian reconstruction.. Conf Proc IEEE Eng Med Biol Soc. 2006:703-6.