Citation Impact
Citing Papers
A sex-biased imbalance between Tfr, Tph, and atypical B cells determines antibody responses in COVID-19 patients
2023 StandoutNobel
Inference and analysis of cell-cell communication using CellChat
2021 Standout
PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells
2019
Log‐Euclidean metrics for fast and simple calculus on diffusion tensors
2006 Standout
Hemispheric Asymmetries in Cortical Thickness
2005
Abnormal Cortical Complexity and Thickness Profiles Mapped in Williams Syndrome
2005
Gender effects on cortical thickness and the influence of scaling
2005
Mapping cortical change in Alzheimer's disease, brain development, and schizophrenia
2004
Smooth functional and structural maps on the neocortex via orthonormal bases of the Laplace-Beltrami operator
2006
Structural neuroplasticity in the sensorimotor network of professional female ballet dancers
2009 Standout
Spontaneous and driven cortical activity: implications for computation
2009
The single-cell transcriptional landscape of mammalian organogenesis
2019 StandoutNature
Broca’s area: Nomenclature, anatomy, typology and asymmetry
2009 Standout
Mapping brain maturation
2006 Standout
Dynamic functional connectivity: Promise, issues, and interpretations
2013 Standout
Machine Learning: Algorithms, Real-World Applications and Research Directions
2021 Standout
Surface-Constrained Volumetric Brain Registration Using Harmonic Mappings
2007
Learning Spectral Descriptors for Deformable Shape Correspondence
2013
The molecular landscape of head and neck cancer
2018 Standout
Why sex matters for neuroscience
2006 Standout
Within-subject template estimation for unbiased longitudinal image analysis
2012 Standout
Reversed graph embedding resolves complex single-cell trajectories
2017 Standout
A Riemannian Framework for Tensor Computing
2005 Standout
Trade and the Topography of the Spatial Economy*
2014
Railroads and American Economic Growth: A “Market Access” Approach*
2016 Standout
Manifold learning-based methods for analyzing single-cell RNA-sequencing data
2017
Coupled quasi‐harmonic bases
2013
Shape google
2011
Functional maps
2012
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
2017 Standout
Continuum crowds
2006 Standout
Chimp optimization algorithm
2020 Standout
Level Set Methods: An Overview and Some Recent Results
2001 Standout
Defining, contouring, and visualizing scalar functions on point-sampled surfaces
2010
Topology and data
2009 Standout
A Fast Spectral Method for Active 3D Shape Reconstruction
2004
A Survey on Shape Correspondence
2011
Blended intrinsic maps
2011
A Comprehensive Survey of Clustering Algorithms
2015
Principal Graph and Structure Learning Based on Reversed Graph Embedding
2016
Geometric Deep Learning: Going beyond Euclidean data
2017 Standout
Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching
2006
Fast Sweeping Algorithms for a Class of Hamilton--Jacobi Equations
2003
Anisotropic Diffusion Descriptors
2016
Head and neck cancer subtypes with biological and clinical relevance: Meta-analysis of gene-expression data
2015
Dynamic Graph CNN for Learning on Point Clouds
2019 Standout
Learning class‐specific descriptors for deformable shapes using localized spectral convolutional networks
2015
Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space
2017
Recent Trends, Applications, and Perspectives in 3D Shape Similarity Assessment
2015
Dense Non-rigid Shape Correspondence Using Random Forests
2014
Brainstorm: A User-Friendly Application for MEG/EEG Analysis
2011 Standout
Works of Facundo Mémoli being referenced
Characterization, Stability and Convergence of Hierarchical Clustering Methods
2010
Topological analysis of population activity in visual cortex
2008
Implicit brain imaging
2004
Gromov–Wasserstein Distances and the Metric Approach to Object Matching
2011
On the use of Gromov-Hausdorff Distances for Shape Comparison
2007
Topological Methods for the Analysis of High Dimensional Data Sets and 3D Object Recognition
2007
A Theoretical and Computational Framework for Isometry Invariant Recognition of Point Cloud Data
2005
One Point Isometric Matching with the Heat Kernel
2010
Gromov‐Hausdorff Stable Signatures for Shapes using Persistence
2009
Spectral Gromov-Wasserstein distances for shape matching
2009
Distance Functions and Geodesics on Submanifolds of $\R^d$ and Point Clouds
2005
Solving variational problems and partial differential equations mapping into general target manifolds
2003
Gromov-Hausdorff distances in Euclidean spaces
2008
Fast Computation of Weighted Distance Functions and Geodesics on Implicit Hyper-Surfaces
2001
Some Properties of Gromov–Hausdorff Distances
2012