Lipeng Ning

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 29

Top Topics

Functional Brain

Covariance Matrices

Corpus Callosum

Top Venues

IEEE Trans. Medical Imaging

IEEE Trans. Autom. Control.

Publications

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 (2024)
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) (2024)
William Consagra, Lipeng Ning, Yogesh Rathi
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI. Medical Image Anal. 93 (2024)
Debdut Mandal, Lipeng Ning, Yogesh Rathi
In-Vivo Estimation of Axon Radii From Clinical Scanners. ISBI (2023)
Lipeng Ning
Maximum-Entropy Estimation of Joint Relaxation-Diffusion Distribution Using Multi-TE Diffusion MRI. MICCAI (8) (2023)
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)
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)
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 (2023)
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)
Lipeng Ning
Minimum-entropy causal inference and its application in brain network analysis. CoRR (2022)
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 (2021)
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) (2020)
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 (2020)
Lipeng Ning
Smooth Interpolation of Covariance Matrices and Brain Network Estimation: Part II. IEEE Trans. Autom. Control. 65 (5) (2020)
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 (2019)
Lipeng Ning
Smooth Interpolation of Covariance Matrices and Brain Network Estimation. IEEE Trans. Autom. Control. 64 (8) (2019)
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 (2019)
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 (2019)
Kaoru Yamamoto, Yongxin Chen, Lipeng Ning, Tryphon T. Georgiou, Allen R. Tannenbaum
Regularization and Interpolation of Positive Matrices. IEEE Trans. Autom. Control. 63 (4) (2018)
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 (2018)
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) (2018)
Lipeng Ning
Regularization of covariance matrices on Riemannian manifolds using linear systems. CoRR (2018)
Lipeng Ning, Evren Özarslan, Carl-Fredrik Westin, Yogesh Rathi
Precise Inference and Characterization of Structural Organization (PICASO) of tissue from molecular diffusion. NeuroImage 146 (2017)
Lipeng Ning, Yogesh Rathi
Dynamic Regression for Partial Correlation and Causality Analysis of Functional Brain Networks. MICCAI (1) (2017)
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)
Yongxin Chen, Tryphon T. Georgiou, Lipeng Ning, Allen R. Tannenbaum
Matricial Wasserstein-1 Distance. IEEE Control. Syst. Lett. 1 (1) (2017)
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 (2016)
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 (2016)
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 (2016)
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) (2015)
Lipeng Ning, Tryphon T. Georgiou, Allen R. Tannenbaum
On Matrix-Valued Monge-Kantorovich Optimal Mass Transport. IEEE Trans. Autom. Control. 60 (2) (2015)
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) (2015)
Lipeng Ning, Carl-Fredrik Westin, Yogesh Rathi
Estimating Diffusion Propagator and Its Moments Using Directional Radial Basis Functions. IEEE Trans. Medical Imaging 34 (10) (2015)
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)
Lipeng Ning, Tryphon T. Georgiou
Metrics for matrix-valued measures via test functions. CoRR (2014)
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)
Johan Karlsson, Lipeng Ning
On robustness of ℓ1-regularization methods for spectral estimation. CDC (2014)
Lipeng Ning, Tryphon T. Georgiou
Metrics for Matrix-valued Measures via Test Functions. CDC (2014)
Lipeng Ning, Tryphon T. Georgiou
The Wasserstein metric in Factor Analysis. SIAM Conf. on Control and its Applications (2013)
Lipeng Ning, Tryphon T. Georgiou, Allen R. Tannenbaum
Matrix-valued Monge-Kantorovich Optimal Mass Transport CoRR (2013)
Francesca P. Carli, Lipeng Ning, Tryphon T. Georgiou
Approximation in the Wasserstein distance with application to clustering. CoRR (2013)
Lipeng Ning, Tryphon T. Georgiou, Allen R. Tannenbaum, Stephen P. Boyd
Linear models based on noisy data and the Frisch scheme CoRR (2013)
Lipeng Ning, Tryphon T. Georgiou, Allen R. Tannenbaum
Matrix-valued Monge-Kantorovich optimal mass transport. CDC (2013)
Lipeng Ning, Xianhua Jiang, Tryphon T. Georgiou
On the Geometry of Covariance Matrices. IEEE Signal Process. Lett. 20 (8) (2013)
Xianhua Jiang, Lipeng Ning, Tryphon T. Georgiou
Distances and Riemannian Metrics for Multivariate Spectral Densities. IEEE Trans. Autom. Control. 57 (7) (2012)
Lipeng Ning, Xianhua Jiang, Tryphon T. Georgiou
Geometric methods for structured covariance estimation. ACC (2012)
Lipeng Ning, Xianhua Jiang, Tryphon T. Georgiou
Metrics for multivariate power spectra. CDC (2012)
Lipeng Ning, Xianhua Jiang, Tryphon T. Georgiou
Geometric methods for estimation of structured covariances CoRR (2011)
Xianhua Jiang, Lipeng Ning, Tryphon T. Georgiou
Distances and Riemannian metrics for multivariate spectral densities CoRR (2011)
Lipeng Ning, Tryphon T. Georgiou
Sparse factor analysis via likelihood and ℓ1-regularization. CDC/ECC (2011)
Lipeng Ning, Tryphon T. Georgiou, Allen R. Tannenbaum
Separation of system dynamics and line spectra via sparse representation. CDC (2010)