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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) - [c18]Loraine Franke, Jie Luo, Tae Young Park, Nam Wook Kim, Yogesh Rathi, Steven D. Pieper, Lipeng Ning, Daniel Haehn:
SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment. MICCAI (6) 2024: 575-585 - [i11]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) - [i10]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:
EVENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI. CoRR abs/2409.07020 (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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