Lipeng Ning

64 papers C 1Journal 46Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Dynamic Co-Frequency Interference Analysis Model Based on Time-Elevation Interference Spectrum for NGSO Mega-Constellations.
IEEE Trans. Wirel. Commun.
Zhaoyang Su, Kai Wang, Yuchen Cai, Lipeng Ning, Liu Liu, Tao Zhou, Bo Ai
2026 J jnl
An Analysis Model for Time-Varying Aggregate Interference in the Co-Existence of Satellite and Terrestrial Cellular Networks.
IEEE Trans. Veh. Technol.
Zhaoyang Su, Jiachi Zhang, Kai Wang, Xianglong Duan, Yuchen Cai, Lipeng Ning, Liu Liu, Tao Zhou, Bo Ai
2026 J jnl
HARP: HARmonizing in-vivo diffusion MRI using Phantom-only training.
CoRR
Hwihun Jeong, Qiang Liu, Kathryn E. Keenan, Elisabeth A. Wilde, Walter Schneider, Sudhir K. Pathak, Anthony Zuccolotto, Lauren J. O'Donnell, Lipeng Ning, Yogesh Rathi
2026 J jnl
PRIME: Phase reversed interleaved multi-Echo acquisition enables highly accelerated distortion-corrected diffusion MRI.
Medical Image Anal.
Yohan Jun, Qiang Liu, Ting Gong, Jaejin Cho, Shohei Fujita, Xingwang Yong, Congyu Liao, Marianna E. Schmidt, Shahin Nasr, Camilo Jaimes, Michael S. Gee, Susie Yi Huang, Lipeng Ning, Anastasia Yendiki, Yogesh Rathi, Berkin Bilgic
2026 J jnl
Rapid whole brain motion-robust mesoscale in-vivo MR imaging using multi-scale implicit neural representation.
Medical Image Anal.
Jun Lyu, Lipeng Ning, William Consagra, Qiang Liu, Richard J. Rushmore, Berkin Bilgic, Yogesh Rathi
2025 J jnl
A Novel GBSM for LEO Satellite-Ground Communication Large-Scale Channels.
IEEE Internet Things J.
Zhaoyang Su, Jiachi Zhang, Kai Wang, Xianglong Duan, Yuchen Cai, Lipeng Ning, Liu Liu, Bo Ai
2025 J jnl
A deep learning approach to multi-fiber parameter estimation and uncertainty quantification in diffusion MRI.
Medical Image Anal.
William Consagra, Lipeng Ning, Yogesh Rathi
2025 J jnl
DDEvENet: Evidence-based ensemble learning for uncertainty-aware brain parcellation using diffusion MRI.
Comput. Medical Imaging Graph.
Chenjun Li, Dian Yang, Shun Yao, Shuyue Wang, Ye Wu, Le Zhang, Qiannuo Li, Kang Ik Kevin Cho, Johanna Seitz-Holland, Lipeng Ning, Jon Haitz Legarreta, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell, Nir A. Sochen, Ofer Pasternak, Fan Zhang
2025 J jnl
Is the medical image segmentation problem solved? A survey of current developments and future directions.
CoRR
Guoping Xu, Jayaram K. Udupa, Jax Luo, Songlin Zhao, Yajun Yu, Scott B. Raymond, Hao Peng, Lipeng Ning, Yogesh Rathi, Wei Liu, You Zhang
2025 J jnl
Rapid Whole Brain Mesoscale In-vivo MR Imaging using Multi-scale Implicit Neural Representation.
CoRR
Jun Lyu, Lipeng Ning, William Consagra, Qiang Liu, Richard J. Rushmore, Berkin Bilgic, Yogesh Rathi
2024 J jnl
A study of why we need to reassess full reference image quality assessment with medical images.
CoRR
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
2024 J jnl
AutoRL X: Automated Reinforcement Learning on the Web.
ACM Trans. Interact. Intell. Syst.
Loraine Franke, Daniel Karl I. Weidele, Nima Dehmamy, Lipeng Ning, Daniel Haehn
2024 J jnl
DDParcel: Deep Learning Anatomical Brain Parcellation From Diffusion MRI.
IEEE Trans. Medical Imaging
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
2024 J jnl
EVENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI.
CoRR
Chenjun Li, Dian Yang, Shun Yao, Shuyue Wang, Ye Wu, Le Zhang, Qiannuo Li, Kang Ik Kevin Cho, Johanna Seitz-Holland, Lipeng Ning, Jon Haitz Legarreta, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell, Nir A. Sochen, Ofer Pasternak, Fan Zhang
2024 J jnl
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI.
Medical Image Anal.
William Consagra, Lipeng Ning, Yogesh Rathi
2024 — conf
SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment.
MICCAI (6)
Loraine Franke, Jie Luo, Tae Young Park, Nam Wook Kim, Yogesh Rathi, Steven D. Pieper, Lipeng Ning, Daniel Haehn
2023 — conf
A Deep Learning Framework for Estimating Multi-Fiber PICASO Model Parameters of Tissue Microstructure Using Diffusion MRI.
ISBI
Tengfei Xue, Hazhar Sufi Karimi, William Consagra, Fan Zhang, Weidong Cai, Lauren J. O'Donnell, Lipeng Ning, Yogesh Rathi
2023 — conf
A Deep-Learning Framework for Estimating the Posterior Distribution of the Standard Model of Diffusion Mri.
ISBI
Hazhar Sufi Karimi, Lipeng Ning, Yogesh Rathi
2023 — conf
In-Vivo Estimation of Axon Radii From Clinical Scanners.
ISBI
Debdut Mandal, Lipeng Ning, Yogesh Rathi
2023 — conf
Maximum-Entropy Estimation of Joint Relaxation-Diffusion Distribution Using Multi-TE Diffusion MRI.
MICCAI (8)
Lipeng Ning
2023 J jnl
SlicerTMS: Interactive Real-time Visualization of Transcranial Magnetic Stimulation using Augmented Reality and Deep Learning.
CoRR
Loraine Franke, Tae Young Park, Jie Luo, Yogesh Rathi, Steve Pieper, Lipeng Ning, Daniel Haehn
2022 J jnl
Minimum-entropy causal inference and its application in brain network analysis.
CoRR
Lipeng Ning
2022 — conf
On the Dataset Quality Control for Image Registration Evaluation.
MICCAI (6)
Jie Luo, Guangshen Ma, Nazim Haouchine, Zhe Xu, Yixin Wang, Tina Kapur, Lipeng Ning, William M. Wells III, Sarah F. Frisken
2021 J jnl
Deep learning based segmentation of brain tissue from diffusion MRI.
NeuroImage
Fan Zhang, Anna Breger, Kang Ik Kevin Cho, Lipeng Ning, Carl-Fredrik Westin, Lauren J. O'Donnell, Ofer Pasternak
2020 J jnl
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results.
NeuroImage
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
2020 J jnl
Joint RElaxation-Diffusion Imaging Moments to Probe Neurite Microstructure.
IEEE Trans. Medical Imaging
Lipeng Ning, Borjan A. Gagoski, Filip Szczepankiewicz, Carl-Fredrik Westin, Yogesh Rathi
2020 J jnl
Smooth Interpolation of Covariance Matrices and Brain Network Estimation: Part II.
IEEE Trans. Autom. Control.
Lipeng Ning
2019 J jnl
Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms.
NeuroImage
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
2019 J jnl
MK-curve - Characterizing the relation between mean kurtosis and alterations in the diffusion MRI signal.
NeuroImage
Fan Zhang, Lipeng Ning, Lauren J. O'Donnell, Ofer Pasternak
2019 J jnl
Retrospective harmonization of multi-site diffusion MRI data acquired with different acquisition parameters.
NeuroImage
Suheyla Cetin Karayumak, Sylvain Bouix, Lipeng Ning, Anthony James, Tim J. Crow, Martha Shenton, Marek Kubicki, Yogesh Rathi
2019 J jnl
Smooth Interpolation of Covariance Matrices and Brain Network Estimation.
IEEE Trans. Autom. Control.
Lipeng Ning
2018 J jnl
A Dynamic Regression Approach for Frequency-Domain Partial Coherence and Causality Analysis of Functional Brain Networks.
IEEE Trans. Medical Imaging
Lipeng Ning, Yogesh Rathi
2018 J jnl
Regularization and Interpolation of Positive Matrices.
IEEE Trans. Autom. Control.
Kaoru Yamamoto, Yongxin Chen, Lipeng Ning, Tryphon T. Georgiou, Allen R. Tannenbaum
2018 J jnl
Regularization of covariance matrices on Riemannian manifolds using linear systems.
CoRR
Lipeng Ning
2018 J jnl
Suprathreshold fiber cluster statistics: Leveraging white matter geometry to enhance tractography statistical analysis.
NeuroImage
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
2017 — conf
Dynamic Regression for Partial Correlation and Causality Analysis of Functional Brain Networks.
MICCAI (1)
Lipeng Ning, Yogesh Rathi
2017 J jnl
Matricial Wasserstein-1 Distance.
IEEE Control. Syst. Lett.
Yongxin Chen, Tryphon T. Georgiou, Lipeng Ning, Allen R. Tannenbaum
2017 J jnl
Precise Inference and Characterization of Structural Organization (PICASO) of tissue from molecular diffusion.
NeuroImage
Lipeng Ning, Evren Özarslan, Carl-Fredrik Westin, Yogesh Rathi
2017 — conf
Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis.
MICCAI (1)
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
2016 J jnl
A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging.
NeuroImage
Lipeng Ning, Kawin Setsompop, Oleg V. Michailovich, Nikos Makris, Martha Elizabeth Shenton, Carl-Fredrik Westin, Yogesh Rathi
2016 J jnl
Corrigendum to "A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging".
NeuroImage
Lipeng Ning, Kawin Setsompop, Oleg V. Michailovich, Nikos Makris, Martha Elizabeth Shenton, Carl-Fredrik Westin, Yogesh Rathi
2016 J jnl
Inter-site and inter-scanner diffusion MRI data harmonization.
NeuroImage
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
2015 — conf
A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI.
IPMI
Lipeng Ning, Kawin Setsompop, Oleg V. Michailovich, Nikos Makris, Carl-Fredrik Westin, Yogesh Rathi
2015 J jnl
Estimating Diffusion Propagator and Its Moments Using Directional Radial Basis Functions.
IEEE Trans. Medical Imaging
Lipeng Ning, Carl-Fredrik Westin, Yogesh Rathi
2015 J jnl
Linear Models Based on Noisy Data and the Frisch Scheme.
SIAM Rev.
Lipeng Ning, Tryphon T. Georgiou, Allen R. Tannenbaum, Stephen P. Boyd
2015 J jnl
On Matrix-Valued Monge-Kantorovich Optimal Mass Transport.
IEEE Trans. Autom. Control.
Lipeng Ning, Tryphon T. Georgiou, Allen R. Tannenbaum
2015 J jnl
Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?
Medical Image Anal.
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
2014 — conf
Maximum Entropy Estimation of Glutamate and Glutamine in MR Spectroscopic Imaging.
MICCAI (2)
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
2014 — conf
Metrics for Matrix-valued Measures via Test Functions.
CDC
Lipeng Ning, Tryphon T. Georgiou
2014 J jnl
Metrics for matrix-valued measures via test functions.
CoRR
Lipeng Ning, Tryphon T. Georgiou
2014 — conf
On robustness of ℓ1-regularization methods for spectral estimation.
CDC
Johan Karlsson, Lipeng Ning
2013 J jnl
Approximation in the Wasserstein distance with application to clustering.
CoRR
Francesca P. Carli, Lipeng Ning, Tryphon T. Georgiou
2013 J jnl
Linear models based on noisy data and the Frisch scheme
CoRR
Lipeng Ning, Tryphon T. Georgiou, Allen R. Tannenbaum, Stephen P. Boyd
2013 J jnl
Matrix-valued Monge-Kantorovich Optimal Mass Transport
CoRR
Lipeng Ning, Tryphon T. Georgiou, Allen R. Tannenbaum
2013 — conf
Matrix-valued Monge-Kantorovich optimal mass transport.
CDC
Lipeng Ning, Tryphon T. Georgiou, Allen R. Tannenbaum
2013 J jnl
On the Geometry of Covariance Matrices.
IEEE Signal Process. Lett.
Lipeng Ning, Xianhua Jiang, Tryphon T. Georgiou
2013 — conf
The Wasserstein metric in Factor Analysis.
SIAM Conf. on Control and its Applications
Lipeng Ning, Tryphon T. Georgiou
2012 J jnl
Distances and Riemannian Metrics for Multivariate Spectral Densities.
IEEE Trans. Autom. Control.
Xianhua Jiang, Lipeng Ning, Tryphon T. Georgiou
2012 C conf
Geometric methods for structured covariance estimation.
ACC
Lipeng Ning, Xianhua Jiang, Tryphon T. Georgiou
2012 — conf
Metrics for multivariate power spectra.
CDC
Lipeng Ning, Xianhua Jiang, Tryphon T. Georgiou
2011 J jnl
Distances and Riemannian metrics for multivariate spectral densities
CoRR
Xianhua Jiang, Lipeng Ning, Tryphon T. Georgiou
2011 J jnl
Geometric methods for estimation of structured covariances
CoRR
Lipeng Ning, Xianhua Jiang, Tryphon T. Georgiou
2011 — conf
Sparse factor analysis via likelihood and ℓ1-regularization.
CDC/ECC
Lipeng Ning, Tryphon T. Georgiou
2010 — conf
Separation of system dynamics and line spectra via sparse representation.
CDC
Lipeng Ning, Tryphon T. Georgiou, Allen R. Tannenbaum