Year |
Citation |
Score |
2023 |
Zhang F, Cho KIK, Seitz-Holland J, Ning L, Legarreta JH, Rathi Y, Westin CF, O'Donnell LJ, Pasternak O. DDParcel: deep learning anatomical brain parcellation from diffusion MRI. Ieee Transactions On Medical Imaging. PMID 37943635 DOI: 10.1109/TMI.2023.3331691 |
0.588 |
|
2023 |
Franke L, Park TY, Luo J, Rathi Y, Pieper S, Ning L, Haehn D. SlicerTMS: Interactive Real-time Visualization of Transcranial Magnetic Stimulation using Augmented Reality and Deep Learning. Arxiv. PMID 37292474 |
0.494 |
|
2023 |
Pal A, Ning L, Rathi Y. A domain-agnostic MR reconstruction framework using a randomly weighted neural network. Biorxiv : the Preprint Server For Biology. PMID 36993372 DOI: 10.1101/2023.03.22.533764 |
0.466 |
|
2022 |
Ji Y, Hoge WS, Gagoski B, Westin CF, Rathi Y, Ning L. Accelerating joint relaxation-diffusion MRI by integrating time division multiplexing and simultaneous multi-slice (TDM-SMS) strategies. Magnetic Resonance in Medicine. PMID 35092081 DOI: 10.1002/mrm.29160 |
0.576 |
|
2021 |
Ning L, Rathi Y, Barbour T, Makris N, Camprodon JA. White matter markers and predictors for subject-specific rTMS response in major depressive disorder. Journal of Affective Disorders. 299: 207-214. PMID 34875281 DOI: 10.1016/j.jad.2021.12.005 |
0.538 |
|
2021 |
Xu G, Rathi Y, Camprodon JA, Cao H, Ning L. Rapid whole-brain electric field mapping in transcranial magnetic stimulation using deep learning. Plos One. 16: e0254588. PMID 34329328 DOI: 10.1371/journal.pone.0254588 |
0.517 |
|
2021 |
Ji Y, Gagoski B, Hoge WS, Rathi Y, Ning L. Accelerated diffusion and relaxation-diffusion MRI using time-division multiplexing EPI. Magnetic Resonance in Medicine. PMID 34196032 DOI: 10.1002/mrm.28894 |
0.586 |
|
2021 |
Ning L, Szczepankiewicz F, Nilsson M, Rathi Y, Westin CF. Probing tissue microstructure by diffusion skewness tensor imaging. Scientific Reports. 11: 135. PMID 33420140 DOI: 10.1038/s41598-020-79748-3 |
0.61 |
|
2020 |
Baxi M, Di Biase MA, Lyall AE, Cetin-Karayumak S, Seitz J, Ning L, Makris N, Rosene D, Kubicki M, Rathi Y. Quantifying Genetic and Environmental Influence on Gray Matter Microstructure Using Diffusion MRI. Cerebral Cortex (New York, N.Y. : 1991). PMID 32676671 DOI: 10.1093/Cercor/Bhaa174 |
0.608 |
|
2020 |
Ning L, Bonet-Carne E, Grussu F, Sepehrband F, Kaden E, Veraart J, Blumberg SB, Khoo CS, Palombo M, Kokkinos I, Alexander DC, Coll-Font J, Scherrer B, Warfield SK, Karayumak SC, et al. Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: algorithms and results. Neuroimage. 117128. PMID 32673745 DOI: 10.1016/J.Neuroimage.2020.117128 |
0.623 |
|
2020 |
Ramos-Llordén G, Ning L, Liao C, Mukhometzianov R, Michailovich O, Setsompop K, Rathi Y. High-fidelity, accelerated whole-brain submillimeter in vivo diffusion MRI using gSlider-spherical ridgelets (gSlider-SR). Magnetic Resonance in Medicine. PMID 32125020 DOI: 10.1002/Mrm.28232 |
0.609 |
|
2020 |
Ning L. Smooth Interpolation of Covariance Matrices and Brain Network Estimation: Part II Ieee Transactions On Automatic Control. 65: 1901-1910. DOI: 10.1109/Tac.2018.2879597 |
0.378 |
|
2020 |
Ning L, Rathi Y, Barbour T, Makris N, Camprodon J. Diffusion-MRI Based Markers and Predictors for rTMS Response in Major Depressive Disorder Biological Psychiatry. 87: S272-S273. DOI: 10.1016/J.Biopsych.2020.02.704 |
0.562 |
|
2019 |
Ning L, Gagoski B, Szczepankiewicz F, Westin CF, Rathi Y. Joint RElaxation-Diffusion Imaging Moments (REDIM) to probe neurite microstructure. Ieee Transactions On Medical Imaging. PMID 31398113 DOI: 10.1109/Tmi.2019.2933982 |
0.636 |
|
2019 |
Wu W, McAnulty G, Hamoda HM, Sarill K, Karmacharya S, Gagoski B, Ning L, Grant PE, Shenton ME, Waber DP, Makris N, Rathi Y. Detecting microstructural white matter abnormalities of frontal pathways in children with ADHD using advanced diffusion models. Brain Imaging and Behavior. PMID 31041662 DOI: 10.1007/S11682-019-00108-5 |
0.723 |
|
2019 |
Zhang F, Ning L, O'Donnell LJ, Pasternak O. MK-curve - Characterizing the relation between mean kurtosis and alterations in the diffusion MRI signal. Neuroimage. PMID 30978492 DOI: 10.1016/J.Neuroimage.2019.04.015 |
0.391 |
|
2019 |
Tax CM, Grussu F, Kaden E, Ning L, Rudrapatna U, Evans J, St-Jean S, Leemans A, Koppers S, Merhof D, Ghosh A, Tanno R, Alexander DC, Zappalà S, Charron C, et al. Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms. Neuroimage. PMID 30716459 DOI: 10.1016/J.Neuroimage.2019.01.077 |
0.451 |
|
2018 |
Ning L, Makris N, Camprodon JA, Rathi Y. Limits and reproducibility of resting-state functional MRI definition of DLPFC targets for neuromodulation. Brain Stimulation. PMID 30344110 DOI: 10.1016/J.Brs.2018.10.004 |
0.534 |
|
2018 |
Karayumak SC, Bouix S, Ning L, James A, Crow T, Shenton M, Kubicki M, Rathi Y. Retrospective harmonization of multi-site diffusion MRI data acquired with different acquisition parameters. Neuroimage. PMID 30205206 DOI: 10.1016/J.Neuroimage.2018.08.073 |
0.693 |
|
2018 |
Karmacharya S, Gagoski B, Ning L, Vyas R, Cheng HH, Soul J, Newberger JW, Shenton ME, Rathi Y, Grant PE. Advanced diffusion imaging for assessing normal white matter development in neonates and characterizing aberrant development in congenital heart disease. Neuroimage. Clinical. 19: 360-373. PMID 30013919 DOI: 10.1016/J.Nicl.2018.04.032 |
0.609 |
|
2018 |
Ning L, Nilsson M, Lasič S, Westin CF, Rathi Y. Cumulant expansions for measuring water exchange using diffusion MRI. The Journal of Chemical Physics. 148: 074109. PMID 29471656 DOI: 10.1063/1.5014044 |
0.601 |
|
2018 |
Zhang F, Wu W, Ning L, McAnulty G, Waber D, Gagoski B, Sarill K, Hamoda HM, Song Y, Cai W, Rathi Y, O'Donnell LJ. Suprathreshold fiber cluster statistics: Leveraging white matter geometry to enhance tractography statistical analysis. Neuroimage. PMID 29337279 DOI: 10.1016/J.Neuroimage.2018.01.006 |
0.734 |
|
2018 |
Yamamoto K, Chen Y, Ning L, Georgiou TT, Tannenbaum A. Regularization and Interpolation of Positive Matrices Ieee Transactions On Automatic Control. 63: 1208-1212. DOI: 10.1109/Tac.2017.2749258 |
0.666 |
|
2017 |
Chen Y, Georgiou TT, Ning L, Tannenbaum A. Matricial Wasserstein-1 Distance. Ieee Control Systems Letters. 1: 14-19. PMID 29152609 DOI: 10.1109/LCSYS.2017.2699319 |
0.643 |
|
2017 |
Ning L, Rathi Y. A dynamic regression approach for frequency-domain partial coherence and causality analysis of functional brain networks. Ieee Transactions On Medical Imaging. PMID 28816657 DOI: 10.1109/Tmi.2017.2739740 |
0.568 |
|
2017 |
Liao R, Ning L, Chen Z, Rigolo L, Gong S, Pasternak O, Golby AJ, Rathi Y, O'Donnell LJ. Performance of unscented Kalman filter tractography in edema: Analysis of the two-tensor model. Neuroimage. Clinical. 15: 819-831. PMID 28725549 DOI: 10.1016/J.Nicl.2017.06.027 |
0.613 |
|
2017 |
Mirzaalian H, Ning L, Savadjiev P, Pasternak O, Bouix S, Michailovich O, Karmacharya S, Grant G, Marx CE, Morey RA, Flashman LA, George MS, McAllister TW, Andaluz N, Shutter L, et al. Multi-site harmonization of diffusion MRI data in a registration framework. Brain Imaging and Behavior. PMID 28176263 DOI: 10.1007/S11682-016-9670-Y |
0.725 |
|
2016 |
Ning L, Özarslan E, Westin CF, Rathi Y. Precise Inference and Characterization of Structural Organization (PICASO) of tissue from molecular diffusion. Neuroimage. PMID 27751940 DOI: 10.1016/J.Neuroimage.2016.09.057 |
0.626 |
|
2016 |
Ning L, Setsompop K, Westin CF, Rathi Y. New Insights About Time-Varying Diffusivity and Its Estimation from Diffusion MRI. Magnetic Resonance in Medicine. PMID 27611013 DOI: 10.1002/Mrm.26403 |
0.623 |
|
2016 |
Ning L. Corrigendum to "A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging". Neuroimage. PMID 27490271 DOI: 10.1016/J.Neuroimage.2016.07.053 |
0.35 |
|
2016 |
Mirzaalian H, Ning L, Savadjiev P, Pasternak O, Bouix S, Michailovich O, Grant G, Marx CE, Morey RA, Flashman LA, George MS, McAllister TW, Andaluz N, Shutter L, Coimbra R, et al. Inter-site and inter-scanner diffusion MRI data harmonization. Neuroimage. 135: 311-323. PMID 27138209 DOI: 10.1016/J.Neuroimage.2016.04.041 |
0.733 |
|
2016 |
Ning L, Westin CF, Rathi Y. Estimation of Bounded and Unbounded Trajectories in Diffusion MRI. Frontiers in Neuroscience. 10: 129. PMID 27064745 DOI: 10.3389/Fnins.2016.00129 |
0.65 |
|
2015 |
Ning L, Georgiou TT, Tannenbaum A, Boyd SP. Linear Models Based on Noisy Data and the Frisch Scheme. Siam Review. Society For Industrial and Applied Mathematics. 57: 167-197. PMID 27168672 DOI: 10.1137/130921179 |
0.548 |
|
2015 |
Ning L, Georgiou TT, Tannenbaum A. On Matrix-Valued Monge-Kantorovich Optimal Mass Transport. Ieee Transactions On Automatic Control. 60: 373-382. PMID 26997667 DOI: 10.1109/TAC.2014.2350171 |
0.501 |
|
2015 |
Ning L, Laun F, Gur Y, DiBella EV, Deslauriers-Gauthier S, Megherbi T, Ghosh A, Zucchelli M, Menegaz G, Fick R, St-Jean S, Paquette M, Aranda R, Descoteaux M, Deriche R, et al. Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use? Medical Image Analysis. 26: 316-331. PMID 26606457 DOI: 10.1016/J.Media.2015.10.012 |
0.636 |
|
2015 |
Ning L, Setsompop K, Michailovich O, Makris N, Shenton ME, Westin CF, Rathi Y. A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging. Neuroimage. 125: 386-400. PMID 26505296 DOI: 10.1016/J.Neuroimage.2015.10.061 |
0.639 |
|
2015 |
Ning L, Setsompop K, Michailovich O, Makris N, Westin CF, Rathi Y. A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI. Information Processing in Medical Imaging : Proceedings of the ... Conference. 24: 57-68. PMID 26221667 DOI: 10.1007/978-3-319-19992-4_5 |
0.591 |
|
2015 |
Ning L, Westin CF, Rathi Y. Estimating diffusion propagator and its moments using directional radial basis functions. Ieee Transactions On Medical Imaging. 34: 2058-78. PMID 25838518 DOI: 10.1109/Tmi.2015.2418674 |
0.651 |
|
2014 |
Rathi Y, Ning L, Michailovich O, Liao H, Gagoski B, Grant PE, Shenton ME, Stern R, Westin CF, Lin A. Maximum entropy estimation of glutamate and glutamine in MR spectroscopic imaging. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 17: 749-56. PMID 25485447 DOI: 10.1007/978-3-319-10470-6_93 |
0.508 |
|
2014 |
Ning L, Georgiou TT. Metrics for Matrix-valued Measures via Test Functions Proceedings of the Ieee Conference On Decision and Control. 2015: 2642-2647. DOI: 10.1109/CDC.2014.7039793 |
0.502 |
|
2014 |
Ning L, Carli FP, Ebtehaj AM, Foufoula-Georgiou E, Georgiou TT. Coping with model error in variational data assimilation using optimal mass transport Water Resources Research. 50: 5817-5830. DOI: 10.1002/2013Wr014966 |
0.568 |
|
2013 |
Ning L, Jiang X, Georgiou T. On the geometry of covariance matrices Ieee Signal Processing Letters. 20: 787-790. DOI: 10.1109/Lsp.2013.2266273 |
0.653 |
|
2013 |
Ning L, Georgiou TT, Tannenbaum A. Matrix -valued Monge-Kantorovich optimal mass transport Proceedings of the Ieee Conference On Decision and Control. 3906-3911. DOI: 10.1109/CDC.2013.6760486 |
0.456 |
|
2013 |
Ning L, Georgiou T. The Wasserstein metric in factor analysis Siam Conference On Control and Its Applications 2013. 8-12. |
0.505 |
|
2012 |
Jiang X, Ning L, Georgiou TT. Distances and Riemannian metrics for multivariate spectral densities Ieee Transactions On Automatic Control. 57: 1723-1735. DOI: 10.1109/Tac.2012.2183171 |
0.655 |
|
2012 |
Ning L, Jiang X, Georgiou TT. Metrics for multivariate power spectra Proceedings of the Ieee Conference On Decision and Control. 4727-4732. DOI: 10.1109/CDC.2012.6426046 |
0.489 |
|
2012 |
Ning L, Jiang X, Georgiou T. Geometric methods for structured covariance estimation Proceedings of the American Control Conference. 1877-1882. |
0.518 |
|
2011 |
Ning L, Georgiou TT. Sparse factor analysis via likelihood and ℓ 1-regularization Proceedings of the Ieee Conference On Decision and Control. 5188-5192. DOI: 10.1109/CDC.2011.6161415 |
0.481 |
|
2010 |
Ning L, Georgiou TT, Tannenbaum A. Separation of system dynamics and line spectra via sparse representation Proceedings of the Ieee Conference On Decision and Control. 473-478. DOI: 10.1109/CDC.2010.5717810 |
0.475 |
|
Show low-probability matches. |