Separation of system dynamics and line spectra via sparse representation. - Lipeng Ning; Tryphon T. Georgiou; Allen R. Tannenbaum (CDC, 2010)

Sparse factor analysis via likelihood and ℓ1-regularization. - Lipeng Ning; Tryphon T. Georgiou (CDC/ECC, 2011)

Geometric methods for estimation of structured covariances - Lipeng Ning; Xianhua Jiang; Tryphon T. Georgiou (CoRR, 2011)

Geometric methods for structured covariance estimation. - Lipeng Ning; Xianhua Jiang; Tryphon T. Georgiou (ACC, 2012)

Metrics for multivariate power spectra. - Lipeng Ning; Xianhua Jiang; Tryphon T. Georgiou (CDC, 2012)

Distances and Riemannian Metrics for Multivariate Spectral Densities. - Xianhua Jiang; Lipeng Ning; Tryphon T. Georgiou (IEEE Trans. Autom. Control., 2012)

The Wasserstein metric in Factor Analysis. - Lipeng Ning; Tryphon T. Georgiou (SIAM Conf. on Control and its Applications, 2013)

Approximation in the Wasserstein distance with application to clustering. - Francesca P. Carli; Lipeng Ning; Tryphon T. Georgiou (CoRR, 2013)

On the Geometry of Covariance Matrices. - Lipeng Ning; Xianhua Jiang; Tryphon T. Georgiou (IEEE Signal Process. Lett., 2013)

On robustness of ℓ1-regularization methods for spectral estimation. - Johan Karlsson; Lipeng Ning (CDC, 2014)

Metrics for Matrix-valued Measures via Test Functions. - Lipeng Ning; Tryphon T. Georgiou (CDC, 2014)

Maximum Entropy Estimation of Glutamate and Glutamine in MR Spectroscopic Imaging. - 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 (MICCAI (2), 2014)

A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI. - Lipeng Ning; Kawin Setsompop; Oleg V. Michailovich; Nikos Makris; Carl-Fredrik Westin; Yogesh Rathi (IPMI, 2015)

Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use? - 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; et al. (Medical Image Anal., 2015)

Linear Models Based on Noisy Data and the Frisch Scheme. - Lipeng Ning; Tryphon T. Georgiou; Allen R. Tannenbaum; Stephen P. Boyd (SIAM Rev., 2015)

On Matrix-Valued Monge-Kantorovich Optimal Mass Transport. - Lipeng Ning; Tryphon T. Georgiou; Allen R. Tannenbaum (IEEE Trans. Autom. Control., 2015)

Estimating Diffusion Propagator and Its Moments Using Directional Radial Basis Functions. - Lipeng Ning; Carl-Fredrik Westin; Yogesh Rathi (IEEE Trans. Medical Imaging, 2015)

Inter-site and inter-scanner diffusion MRI data harmonization. - 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; et al. (NeuroImage, 2016)

A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging. - Lipeng Ning; Kawin Setsompop; Oleg V. Michailovich; Nikos Makris; Martha Elizabeth Shenton; Carl-Fredrik Westin; Yogesh Rathi (NeuroImage, 2016)

Corrigendum to "A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging". - Lipeng Ning; Kawin Setsompop; Oleg V. Michailovich; Nikos Makris; Martha Elizabeth Shenton; Carl-Fredrik Westin; Yogesh Rathi (NeuroImage, 2016)

Dynamic Regression for Partial Correlation and Causality Analysis of Functional Brain Networks. - Lipeng Ning; Yogesh Rathi (MICCAI (1), 2017)

Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis. - Fan Zhang 013; Weining Wu; Lipeng Ning; Gloria McAnulty; Deborah P. Waber; Borjan A. Gagoski; Kiera Sarill; Hesham M. Hamoda; Yang Song 001; Weidong Cai 001; Yogesh Rathi; Lauren J. O'Donnell (MICCAI (1), 2017)

Matricial Wasserstein-1 Distance. - Yongxin Chen; Tryphon T. Georgiou; Lipeng Ning; Allen R. Tannenbaum (IEEE Control. Syst. Lett., 2017)

Precise Inference and Characterization of Structural Organization (PICASO) of tissue from molecular diffusion. - Lipeng Ning; Evren Özarslan; Carl-Fredrik Westin; Yogesh Rathi (NeuroImage, 2017)

Regularization of covariance matrices on Riemannian manifolds using linear systems. - Lipeng Ning (CoRR, 2018)

Suprathreshold fiber cluster statistics: Leveraging white matter geometry to enhance tractography statistical analysis. - Fan Zhang 013; Weining Wu; Lipeng Ning; Gloria McAnulty; Deborah P. Waber; Borjan A. Gagoski; Kiera Sarill; Hesham M. Hamoda; Yang Song 001; Weidong Cai 001; Yogesh Rathi; Lauren J. O'Donnell (NeuroImage, 2018)

Regularization and Interpolation of Positive Matrices. - Kaoru Yamamoto; Yongxin Chen; Lipeng Ning; Tryphon T. Georgiou; Allen R. Tannenbaum (IEEE Trans. Autom. Control., 2018)

A Dynamic Regression Approach for Frequency-Domain Partial Coherence and Causality Analysis of Functional Brain Networks. - Lipeng Ning; Yogesh Rathi (IEEE Trans. Medical Imaging, 2018)

Retrospective harmonization of multi-site diffusion MRI data acquired with different acquisition parameters. - Suheyla Cetin Karayumak; Sylvain Bouix; Lipeng Ning; Anthony James; Tim J. Crow; Martha Shenton; Marek Kubicki; Yogesh Rathi (NeuroImage, 2019)

Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms. - 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; et al. (NeuroImage, 2019)

MK-curve - Characterizing the relation between mean kurtosis and alterations in the diffusion MRI signal. - Fan Zhang 013; Lipeng Ning; Lauren J. O'Donnell; Ofer Pasternak (NeuroImage, 2019)

Smooth Interpolation of Covariance Matrices and Brain Network Estimation. - Lipeng Ning (IEEE Trans. Autom. Control., 2019)

Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results. - 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; et al. (NeuroImage, 2020)

Smooth Interpolation of Covariance Matrices and Brain Network Estimation: Part II. - Lipeng Ning (IEEE Trans. Autom. Control., 2020)

Joint RElaxation-Diffusion Imaging Moments to Probe Neurite Microstructure. - Lipeng Ning; Borjan A. Gagoski; Filip Szczepankiewicz; Carl-Fredrik Westin; Yogesh Rathi (IEEE Trans. Medical Imaging, 2020)

Deep learning based segmentation of brain tissue from diffusion MRI. - Fan Zhang 013; Anna Breger; Kang Ik Kevin Cho; Lipeng Ning; Carl-Fredrik Westin; Lauren J. O'Donnell; Ofer Pasternak (NeuroImage, 2021)

On the Dataset Quality Control for Image Registration Evaluation. - Jie Luo 003; Guangshen Ma; Nazim Haouchine; Zhe Xu 012; Yixin Wang 003; Tina Kapur; Lipeng Ning; William M. Wells III; Sarah F. Frisken (MICCAI (6), 2022)

Minimum-entropy causal inference and its application in brain network analysis. - Lipeng Ning (CoRR, 2022)

A Deep-Learning Framework for Estimating the Posterior Distribution of the Standard Model of Diffusion Mri. - Hazhar Sufi Karimi; Lipeng Ning; Yogesh Rathi (ISBI, 2023)

In-Vivo Estimation of Axon Radii From Clinical Scanners. - Debdut Mandal; Lipeng Ning; Yogesh Rathi (ISBI, 2023)

A Deep Learning Framework for Estimating Multi-Fiber PICASO Model Parameters of Tissue Microstructure Using Diffusion MRI. - Tengfei Xue; Hazhar Sufi Karimi; William Consagra; Fan Zhang 013; Weidong Cai 001; Lauren J. O'Donnell; Lipeng Ning; Yogesh Rathi (ISBI, 2023)

Maximum-Entropy Estimation of Joint Relaxation-Diffusion Distribution Using Multi-TE Diffusion MRI. - Lipeng Ning (MICCAI (8), 2023)

SlicerTMS: Interactive Real-time Visualization of Transcranial Magnetic Stimulation using Augmented Reality and Deep Learning. - Loraine Franke; Tae Young Park; Jie Luo 003; Yogesh Rathi; Steve Pieper 001; Lipeng Ning; Daniel Haehn (CoRR, 2023)

SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment. - Loraine Franke; Jie Luo 003; Tae Young Park; Nam Wook Kim; Yogesh Rathi; Steven D. Pieper; Lipeng Ning; Daniel Haehn (MICCAI (6), 2024)

A study of why we need to reassess full reference image quality assessment with medical images. - 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; et al. (CoRR, 2024)

EVENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI. - Chenjun Li; Dian Yang; Shun Yao; Shuyue Wang; Ye Wu 001; Le Zhang 001; Qiannuo Li; Kang Ik Kevin Cho; Johanna Seitz-Holland; Lipeng Ning; Jon Haitz Legarreta; Yogesh Rathi; et al. (CoRR, 2024)

Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI. - William Consagra; Lipeng Ning; Yogesh Rathi (Medical Image Anal., 2024)

DDParcel: Deep Learning Anatomical Brain Parcellation From Diffusion MRI. - Fan Zhang 013; Kang Ik Kevin Cho; Johanna Seitz-Holland; Lipeng Ning; Jon Haitz Legarreta; Yogesh Rathi; Carl-Fredrik Westin; Lauren J. O'Donnell; Ofer Pasternak (IEEE Trans. Medical Imaging, 2024)

AutoRL X: Automated Reinforcement Learning on the Web. - Loraine Franke; Daniel Karl I. Weidele; Nima Dehmamy; Lipeng Ning; Daniel Haehn (ACM Trans. Interact. Intell. Syst., 2024)

DDEvENet: Evidence-based ensemble learning for uncertainty-aware brain parcellation using diffusion MRI. - Chenjun Li; Dian Yang; Shun Yao; Shuyue Wang; Ye Wu 001; Le Zhang 001; Qiannuo Li; Kang Ik Kevin Cho; Johanna Seitz-Holland; Lipeng Ning; Jon Haitz Legarreta; Yogesh Rathi; et al. (Comput. Medical Imaging Graph., 2025)

A deep learning approach to multi-fiber parameter estimation and uncertainty quantification in diffusion MRI. - William Consagra; Lipeng Ning; Yogesh Rathi (Medical Image Anal., 2025)

Rapid Whole Brain Mesoscale In-vivo MR Imaging using Multi-scale Implicit Neural Representation. - Jun Lyu; Lipeng Ning; William Consagra; Qiang Liu; Richard J. Rushmore; Berkin Bilgic; Yogesh Rathi (CoRR, 2025)

A Novel GBSM for LEO Satellite-Ground Communication Large-Scale Channels. - Zhaoyang Su; Jiachi Zhang 001; Kai Wang 067; Xianglong Duan; Yuchen Cai; Lipeng Ning; Liu Liu 001; Bo Ai 001 (IEEE Internet Things J., 2025)