Department of Radiology
Found 131 results
Filters: Author is Spincemaille, Pascal  [Clear All Filters]
2024
Roberts AG, Romano DJ, Şişman M, Dimov AV, Nguyen TD, Kovanlikaya I, Gauthier SA, Wang Y, Spincemaille P.  2024.  Maximum spherical mean value filtering for whole-brain QSM.. Magn Reson Med.
2023
Spincemaille P, Prince MR.  2023.  Editorial for "An Empirical Approach to Derive Water T1 From Multiparametric MR Images Using an Automated Pipeline and Comparison With Liver Stiffness".. J Magn Reson Imaging.
Zhang J, Spincemaille P, Zhang H, Nguyen TD, Li C, Li J, Kovanlikaya I, Sabuncu MR, Wang Y.  2023.  LARO: Learned acquisition and reconstruction optimization to accelerate quantitative susceptibility mapping.. Neuroimage. 268:119886.
Zhang J, Nguyen TD, Solomon E, Li C, Zhang Q, Li J, Zhang H, Spincemaille P, Wang Y.  2023.  mcLARO: Multi-contrast learned acquisition and reconstruction optimization for simultaneous quantitative multi-parametric mapping.. Magn Reson Med.
Şişman M, Nguyen TD, Roberts AG, Romano DJ, Dimov AV, Kovanlikaya I, Spincemaille P, Wang Y.  2023.  Microstructure-Informed Myelin Mapping (MIMM) from Gradient Echo MRI using Stochastic Matching Pursuit.. medRxiv.
Dimov AV, Li J, Nguyen TD, Roberts AG, Spincemaille P, Straub S, Zun Z, Prince MR, Wang Y.  2023.  QSM Throughout the Body.. J Magn Reson Imaging. 57(6):1621-1640.
Bilgic B, Costagli M, Chan K-S, Duyn J, Langkammer C, Lee J, Li X, Liu C, Marques JP, Milovic C et al..  2023.  Recommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group.. ArXiv.
2022
Xie H, Zhuang H, Guo Y, Sharma RD, Zhang Q, Li J, Lu S, Xu L, Chan Q, Yoneda T et al..  2022.  The appearance of magnetic susceptibility objects in SWI phase depends on object size: Comparison with QSM and CT.. Clin Imaging. 82:67-72.
Cho J, Nguyen TD, Huang W, Sweeney EM, Luo X, Kovanlikaya I, Zhang S, Gillen KM, Spincemaille P, Gupta A et al..  2022.  Brain oxygen extraction fraction mapping in patients with multiple sclerosis.. J Cereb Blood Flow Metab. 42(2):338-348.
Li J, Huang W, Luo X, Wen Y, Cho J, Kovanlikaya I, Gauthier SA, Nguyen TD, Spincemaille P, Wang Y.  2022.  The central vein sign in multiple sclerosis lesions: Susceptibility relaxation optimization from a routine MRI multiecho gradient echo sequence.. J Neuroimaging. 32(1):48-56.
Huang W, Zhang Q, Wu G, Chen P, Li J, Gillen KMcCabe, Spincemaille P, Chiang GC, Gupta A, Wang Y et al..  2022.  Corrigendum to "DCE-MRI quantitative transport mapping for noninvasively detecting hypoxia inducible factor-1α, epidermal growth factor receptor overexpression, and Ki-67 in nasopharyngeal carcinoma patients" [Radiother Oncol (2021) 164:146-154].. Radiother Oncol. 169:168.
Dimov AV, Nguyen TD, Spincemaille P, Sweeney EM, Zinger N, Kovanlikaya I, Kopell BH, Gauthier SA, Wang Y.  2022.  Global cerebrospinal fluid as a zero-reference regularization for brain quantitative susceptibility mapping.. J Neuroimaging. 32(1):141-147.
Cho J, Zhang J, Spincemaille P, Zhang H, Hubertus S, Wen Y, Jafari R, Zhang S, Nguyen TD, Dimov AV et al..  2022.  QQ-NET - using deep learning to solve quantitative susceptibility mapping and quantitative blood oxygen level dependent magnitude (QSM+qBOLD or QQ) based oxygen extraction fraction (OEF) mapping.. Magn Reson Med. 87(3):1583-1594.
Zhang H, Nguyen TD, Zhang J, Marcille M, Spincemaille P, Wang Y, Gauthier SA, Sweeney EM.  2022.  QSMRim-Net: Imbalance-aware learning for identification of chronic active multiple sclerosis lesions on quantitative susceptibility maps.. Neuroimage Clin. 34:102979.
Zhang Q, Spincemaille P, Drotman M, Chen C, Eskreis-Winkler S, Huang W, Zhou L, Morgan J, Nguyen TD, Prince MR et al..  2022.  Quantitative transport mapping (QTM) for differentiating benign and malignant breast lesion: Comparison with traditional kinetics modeling and semi-quantitative enhancement curve characteristics.. Magn Reson Imaging. 86:86-93.
Kim J, Nguyen TD, Zhang J, Gauthier SA, Marcille M, Zhang H, Cho J, Spincemaille P, Wang Y.  2022.  Subsecond accurate myelin water fraction reconstruction from FAST-T data with 3D UNET.. Magn Reson Med. 87(6):2979-2988.
2021
Zhang H, Zhang J, Li C, Sweeney EM, Spincemaille P, Nguyen TD, Gauthier SA, Wang Y, Marcille M.  2021.  ALL-Net: Anatomical information lesion-wise loss function integrated into neural network for multiple sclerosis lesion segmentation.. Neuroimage Clin. 32:102854.
Parker DB, Spincemaille P, Razlighi QR.  2021.  Attenuation of motion artifacts in fMRI using discrete reconstruction of irregular fMRI trajectories (DRIFT).. Magn Reson Med. 86(3):1586-1599.
Cho J, Ma Y, Spincemaille P, Pike GBruce, Wang Y.  2021.  Cerebral oxygen extraction fraction: Comparison of dual-gas challenge calibrated BOLD with CBF and challenge-free gradient echo QSM+qBOLD.. Magn Reson Med. 85(2):953-961.
Huang W, Zhang Q, Wu G, Chen PPian, Li J, Gillen KMcCabe, Spincemaille P, Chiang GC, Gupta A, Wang Y et al..  2021.  DCE-MRI quantitative transport mapping for noninvasively detecting hypoxia inducible factor-1α, epidermal growth factor receptor overexpression, and Ki-67 in nasopharyngeal carcinoma patients.. Radiother Oncol. 164:146-154.
Jafari R, Spincemaille P, Zhang J, Nguyen TD, Luo X, Cho J, Margolis D, Prince MR, Wang Y.  2021.  Deep neural network for water/fat separation: Supervised training, unsupervised training, and no training.. Magn Reson Med. 85(4):2263-2277.
Rashid T, Abdulkadir A, Nasrallah IM, Ware JB, Liu H, Spincemaille P, J Romero R, R Bryan N, Heckbert SR, Habes M.  2021.  DEEPMIR: a deep neural network for differential detection of cerebral microbleeds and iron deposits in MRI.. Sci Rep. 11(1):14124.
Lu P-J, Yoo Y, Rahmanzadeh R, Galbusera R, Weigel M, Ceccaldi P, Nguyen TD, Spincemaille P, Wang Y, Daducci A et al..  2021.  GAMER MRI: Gated-attention mechanism ranking of multi-contrast MRI in brain pathology.. Neuroimage Clin. 29:102522.
Murray KD, Uddin MNasir, Tivarus ME, Sahin B, Wang HZ, Singh MV, Qiu X, Wang L, Spincemaille P, Wang Y et al..  2021.  Increased risk for cerebral small vessel disease is associated with quantitative susceptibility mapping in HIV infected and uninfected individuals.. Neuroimage Clin. 32:102786.
Jafari R, Hectors SJ, de González AKKoehne, Spincemaille P, Prince MR, Brittenham GM, Wang Y.  2021.  Integrated quantitative susceptibility and R * mapping for evaluation of liver fibrosis: An ex vivo feasibility study.. NMR Biomed. 34(1):e4412.