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Lipeng Ning
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2020 – today
- 2024
- [j24]William Consagra, Lipeng Ning
, Yogesh Rathi:
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI. Medical Image Anal. 93: 103105 (2024) - [j23]Fan Zhang
, Kang Ik Kevin Cho, Johanna Seitz-Holland, Lipeng Ning
, Jon Haitz Legarreta
, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell
, Ofer Pasternak:
DDParcel: Deep Learning Anatomical Brain Parcellation From Diffusion MRI. IEEE Trans. Medical Imaging 43(3): 1191-1202 (2024) - [i10]Anna Breger, Ander Biguri, Malena Sabaté Landman, Ian Selby, Nicole Amberg, Elisabeth Brunner, Janek Gröhl, Sepideh Hatamikia, Clemens Karner, Lipeng Ning, Sören Dittmer, Michael Roberts, AIX-COVNET Collaboration, Carola-Bibiane Schönlieb:
A study of why we need to reassess full reference image quality assessment with medical images. CoRR abs/2405.19097 (2024) - 2023
- [c17]Hazhar Sufi Karimi, Lipeng Ning, Yogesh Rathi:
A Deep-Learning Framework for Estimating the Posterior Distribution of the Standard Model of Diffusion Mri. ISBI 2023: 1-4 - [c16]Debdut Mandal, Lipeng Ning, Yogesh Rathi:
In-Vivo Estimation of Axon Radii From Clinical Scanners. ISBI 2023: 1-5 - [c15]Tengfei Xue, Hazhar Sufi Karimi, William Consagra, Fan Zhang, Weidong Cai, Lauren J. O'Donnell, Lipeng Ning, Yogesh Rathi:
A Deep Learning Framework for Estimating Multi-Fiber PICASO Model Parameters of Tissue Microstructure Using Diffusion MRI. ISBI 2023: 1-5 - [c14]Lipeng Ning:
Maximum-Entropy Estimation of Joint Relaxation-Diffusion Distribution Using Multi-TE Diffusion MRI. MICCAI (8) 2023: 439-448 - [i9]Loraine Franke, Tae Young Park, Jie Luo, Yogesh Rathi, Steve Pieper, Lipeng Ning, Daniel Haehn:
SlicerTMS: Interactive Real-time Visualization of Transcranial Magnetic Stimulation using Augmented Reality and Deep Learning. CoRR abs/2305.06459 (2023) - 2022
- [c13]Jie Luo, Guangshen Ma, Nazim Haouchine, Zhe Xu, Yixin Wang, Tina Kapur, Lipeng Ning, William M. Wells III, Sarah F. Frisken:
On the Dataset Quality Control for Image Registration Evaluation. MICCAI (6) 2022: 36-45 - [i8]Lipeng Ning:
Minimum-entropy causal inference and its application in brain network analysis. CoRR abs/2209.03329 (2022) - 2021
- [j22]Fan Zhang
, Anna Breger
, Kang Ik Kevin Cho, Lipeng Ning, Carl-Fredrik Westin, Lauren J. O'Donnell
, Ofer Pasternak:
Deep learning based segmentation of brain tissue from diffusion MRI. NeuroImage 233: 117934 (2021) - 2020
- [j21]Lipeng Ning, Elisenda Bonet-Carne
, Francesco Grussu
, Farshid Sepehrband, Enrico Kaden, Jelle Veraart
, Stefano B. Blumberg, Can Son Khoo, Marco Palombo
, Iasonas Kokkinos, Daniel C. Alexander
, Jaume Coll-Font
, Benoit Scherrer, Simon K. Warfield
, Suheyla Cetin Karayumak, Yogesh Rathi, Simon Koppers, Leon Weninger
, Chantal M. W. Tax:
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results. NeuroImage 221: 117128 (2020) - [j20]Lipeng Ning
:
Smooth Interpolation of Covariance Matrices and Brain Network Estimation: Part II. IEEE Trans. Autom. Control. 65(5): 1901-1910 (2020) - [j19]Lipeng Ning
, Borjan A. Gagoski, Filip Szczepankiewicz
, Carl-Fredrik Westin, Yogesh Rathi:
Joint RElaxation-Diffusion Imaging Moments to Probe Neurite Microstructure. IEEE Trans. Medical Imaging 39(3): 668-677 (2020)
2010 – 2019
- 2019
- [j18]Suheyla Cetin Karayumak, Sylvain Bouix
, Lipeng Ning, Anthony James, Tim J. Crow, Martha Shenton, Marek Kubicki, Yogesh Rathi:
Retrospective harmonization of multi-site diffusion MRI data acquired with different acquisition parameters. NeuroImage 184: 180-200 (2019) - [j17]Chantal M. W. Tax, Francesco Grussu
, Enrico Kaden, Lipeng Ning, S. Umesh Rudrapatna, C. John Evans
, Samuel St-Jean
, Alexander Leemans
, Simon Koppers, Dorit Merhof, Aurobrata Ghosh, Ryutaro Tanno, Daniel C. Alexander
, Stefano Zappalà
, Cyril Charron, Slawomir Kusmia
, David E. J. Linden, Derek K. Jones
, Jelle Veraart
:
Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms. NeuroImage 195: 285-299 (2019) - [j16]Fan Zhang, Lipeng Ning, Lauren J. O'Donnell
, Ofer Pasternak:
MK-curve - Characterizing the relation between mean kurtosis and alterations in the diffusion MRI signal. NeuroImage 196: 68-80 (2019) - [j15]Lipeng Ning
:
Smooth Interpolation of Covariance Matrices and Brain Network Estimation. IEEE Trans. Autom. Control. 64(8): 3184-3193 (2019) - 2018
- [j14]Fan Zhang, Weining Wu
, Lipeng Ning, Gloria McAnulty, Deborah P. Waber, Borjan A. Gagoski, Kiera Sarill, Hesham M. Hamoda
, Yang Song
, Weidong Cai
, Yogesh Rathi, Lauren J. O'Donnell
:
Suprathreshold fiber cluster statistics: Leveraging white matter geometry to enhance tractography statistical analysis. NeuroImage 171: 341-354 (2018) - [j13]Kaoru Yamamoto
, Yongxin Chen
, Lipeng Ning, Tryphon T. Georgiou
, Allen R. Tannenbaum
:
Regularization and Interpolation of Positive Matrices. IEEE Trans. Autom. Control. 63(4): 1208-1212 (2018) - [j12]Lipeng Ning
, Yogesh Rathi:
A Dynamic Regression Approach for Frequency-Domain Partial Coherence and Causality Analysis of Functional Brain Networks. IEEE Trans. Medical Imaging 37(9): 1957-1969 (2018) - [i7]Lipeng Ning:
Regularization of covariance matrices on Riemannian manifolds using linear systems. CoRR abs/1805.11699 (2018) - 2017
- [j11]Yongxin Chen
, Tryphon T. Georgiou
, Lipeng Ning
, Allen R. Tannenbaum
:
Matricial Wasserstein-1 Distance. IEEE Control. Syst. Lett. 1(1): 14-19 (2017) - [j10]Lipeng Ning
, Evren Özarslan, Carl-Fredrik Westin, Yogesh Rathi:
Precise Inference and Characterization of Structural Organization (PICASO) of tissue from molecular diffusion. NeuroImage 146: 452-473 (2017) - [c12]Lipeng Ning, Yogesh Rathi:
Dynamic Regression for Partial Correlation and Causality Analysis of Functional Brain Networks. MICCAI (1) 2017: 365-372 - [c11]Fan Zhang, Weining Wu
, Lipeng Ning
, Gloria McAnulty, Deborah P. Waber, Borjan A. Gagoski, Kiera Sarill, Hesham M. Hamoda
, Yang Song
, Weidong Cai
, Yogesh Rathi, Lauren J. O'Donnell
:
Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis. MICCAI (1) 2017: 556-565 - 2016
- [j9]Lipeng Ning
, Kawin Setsompop
, Oleg V. Michailovich, Nikos Makris, Martha Elizabeth Shenton, Carl-Fredrik Westin, Yogesh Rathi:
A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging. NeuroImage 125: 386-400 (2016) - [j8]Hengameh Mirzaalian, Lipeng Ning, Peter Savadjiev, Ofer Pasternak, Sylvain Bouix
, Oleg V. Michailovich, Gerald Grant, Christine E. Marx, Rajendra A. Morey, Laura A. Flashman, Marie St. George, Thomas W. McAllister, Norberto Andaluz
, Lori Shutter
, Raul Coimbra
, Ross D. Zafonte, Michael J. Coleman, Marek Kubicki, Carl-Fredrik Westin, Murray B. Stein, Martha Elizabeth Shenton, Yogesh Rathi:
Inter-site and inter-scanner diffusion MRI data harmonization. NeuroImage 135: 311-323 (2016) - [j7]Lipeng Ning, Kawin Setsompop, Oleg V. Michailovich, Nikos Makris, Martha Elizabeth Shenton, Carl-Fredrik Westin, Yogesh Rathi:
Corrigendum to "A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging". NeuroImage 142: 696 (2016) - 2015
- [j6]Lipeng Ning
, Frederik B. Laun
, Yaniv Gur, Edward V. R. DiBella
, Samuel Deslauriers-Gauthier, Thinhinane Megherbi, Aurobrata Ghosh, Mauro Zucchelli
, Gloria Menegaz
, Rutger Fick, Samuel St-Jean
, Michael Paquette
, Ramón Aranda
, Maxime Descoteaux, Rachid Deriche
, Lauren O'Donnell
, Yogesh Rathi:
Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use? Medical Image Anal. 26(1): 316-331 (2015) - [j5]Lipeng Ning, Tryphon T. Georgiou
, Allen R. Tannenbaum, Stephen P. Boyd:
Linear Models Based on Noisy Data and the Frisch Scheme. SIAM Rev. 57(2): 167-197 (2015) - [j4]Lipeng Ning
, Tryphon T. Georgiou
, Allen R. Tannenbaum:
On Matrix-Valued Monge-Kantorovich Optimal Mass Transport. IEEE Trans. Autom. Control. 60(2): 373-382 (2015) - [j3]Lipeng Ning
, Carl-Fredrik Westin, Yogesh Rathi:
Estimating Diffusion Propagator and Its Moments Using Directional Radial Basis Functions. IEEE Trans. Medical Imaging 34(10): 2058-2078 (2015) - [c10]Lipeng Ning
, Kawin Setsompop, Oleg V. Michailovich, Nikos Makris, Carl-Fredrik Westin, Yogesh Rathi:
A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI. IPMI 2015: 57-68 - 2014
- [c9]Johan Karlsson, Lipeng Ning
:
On robustness of ℓ1-regularization methods for spectral estimation. CDC 2014: 1767-1773 - [c8]Lipeng Ning
, Tryphon T. Georgiou
:
Metrics for Matrix-valued Measures via Test Functions. CDC 2014: 2642-2647 - [c7]Yogesh Rathi, Lipeng Ning
, Oleg V. Michailovich, HuiJun Liao, Borjan A. Gagoski, Patricia Ellen Grant
, Martha Elizabeth Shenton, Robert Stern, Carl-Fredrik Westin, Alexander P. Lin:
Maximum Entropy Estimation of Glutamate and Glutamine in MR Spectroscopic Imaging. MICCAI (2) 2014: 749-756 - [i6]Lipeng Ning, Tryphon T. Georgiou:
Metrics for matrix-valued measures via test functions. CoRR abs/1409.4097 (2014) - 2013
- [j2]Lipeng Ning, Xianhua Jiang, Tryphon T. Georgiou
:
On the Geometry of Covariance Matrices. IEEE Signal Process. Lett. 20(8): 787-790 (2013) - [c6]Lipeng Ning
, Tryphon T. Georgiou
, Allen R. Tannenbaum:
Matrix-valued Monge-Kantorovich optimal mass transport. CDC 2013: 3906-3911 - [c5]Lipeng Ning
, Tryphon T. Georgiou:
The Wasserstein metric in Factor Analysis. SIAM Conf. on Control and its Applications 2013: 8-12 - [i5]Lipeng Ning, Tryphon T. Georgiou, Allen R. Tannenbaum, Stephen P. Boyd:
Linear models based on noisy data and the Frisch scheme. CoRR abs/1304.3877 (2013) - [i4]Lipeng Ning, Tryphon T. Georgiou, Allen R. Tannenbaum:
Matrix-valued Monge-Kantorovich Optimal Mass Transport. CoRR abs/1304.3931 (2013) - [i3]Francesca P. Carli, Lipeng Ning, Tryphon T. Georgiou:
Approximation in the Wasserstein distance with application to clustering. CoRR abs/1307.5459 (2013) - 2012
- [j1]Xianhua Jiang, Lipeng Ning, Tryphon T. Georgiou
:
Distances and Riemannian Metrics for Multivariate Spectral Densities. IEEE Trans. Autom. Control. 57(7): 1723-1735 (2012) - [c4]Lipeng Ning
, Xianhua Jiang, Tryphon T. Georgiou:
Geometric methods for structured covariance estimation. ACC 2012: 1877-1882 - [c3]Lipeng Ning
, Xianhua Jiang, Tryphon T. Georgiou
:
Metrics for multivariate power spectra. CDC 2012: 4727-4732 - 2011
- [c2]Lipeng Ning
, Tryphon T. Georgiou
:
Sparse factor analysis via likelihood and ℓ1-regularization. CDC/ECC 2011: 5188-5192 - [i2]Xianhua Jiang, Lipeng Ning, Tryphon T. Georgiou:
Distances and Riemannian metrics for multivariate spectral densities. CoRR abs/1107.1345 (2011) - [i1]Lipeng Ning, Xianhua Jiang, Tryphon T. Georgiou:
Geometric methods for estimation of structured covariances. CoRR abs/1110.3695 (2011) - 2010
- [c1]Lipeng Ning
, Tryphon T. Georgiou
, Allen R. Tannenbaum:
Separation of system dynamics and line spectra via sparse representation. CDC 2010: 473-478
Coauthor Index
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last updated on 2024-08-05 20:24 CEST by the dblp team
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