Joshua Vogelstein

Joshua Vogelstein's AcademicInfluence.com Rankings

Joshua Vogelstein

Engineering

#5056

World Rank

#6295

Historical Rank

#1169

USA Rank

Biomedical Engineering

#575

World Rank

#585

Historical Rank

#39

USA Rank

Electrical Engineering

#2534

World Rank

#2656

Historical Rank

#324

USA Rank

engineering Degrees

Joshua Vogelstein

Mathematics

#6689

World Rank

#9218

Historical Rank

#1974

USA Rank

Applied Mathematics

#355

World Rank

#382

Historical Rank

#76

USA Rank

Statistics

#947

World Rank

#1041

Historical Rank

#196

USA Rank

Measure Theory

#2823

World Rank

#3361

Historical Rank

#817

USA Rank

mathematics Degrees

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Engineering
Mathematics

Joshua Vogelstein's Degrees

PhD Applied Mathematics and Statistics Johns Hopkins University
Bachelors Biomedical Engineering Johns Hopkins University

Why Is Joshua Vogelstein Influential?

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According to Wikipedia, Joshua T. Vogelstein is an American biomedical engineer. He is an Associate Professor of Biomedical Engineering at Johns Hopkins University, where he sits at the Center for Imaging Science. Vogelstein also holds joint appointments in the departments of Applied Mathematics and Statistics, Computer Science, Electrical and Computer Engineering, Biostatistics, and Neuroscience. He has appointments in the Institute for Data Intensive Engineering and Sciences, Institute for Computational Medicine, Kavli Neuroscience Discovery Institute, and the Mathematical Institute for Data Science.

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Joshua Vogelstein's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Detection and localization of surgically resectable cancers with a multi-analyte blood test (2018) (1556)
Saturated Reconstruction of a Volume of Neocortex (2015) (820)
Fast nonnegative deconvolution for spike train inference from population calcium imaging. (2009) (433)
Differential connectivity and response dynamics of excitatory and inhibitory neurons in visual cortex. (2011) (407)
Imaging human connectomes at the macroscale (2013) (392)
Whole-brain serial-section electron microscopy in larval zebrafish (2017) (242)
Spike inference from calcium imaging using sequential Monte Carlo methods. (2009) (238)
Dynamically Reconfigurable Silicon Array of Spiking Neurons With Conductance-Based Synapses (2007) (235)
Discovery of Brainwide Neural-Behavioral Maps via Multiscale Unsupervised Structure Learning (2014) (225)
DELTACON: A Principled Massive-Graph Similarity Function (2013) (220)
The Predictive Capacity of Personal Genome Sequencing (2012) (213)
FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs (2014) (212)
A new look at state-space models for neural data (2010) (205)
Statistical Inference on Random Dot Product Graphs: a Survey (2017) (179)
Loss of FHIT expression in cervical carcinoma cell lines and primary tumors. (1997) (165)
Covariate-assisted spectral clustering (2014) (135)
Graph Matching: Relax at Your Own Risk (2014) (128)
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets (2020) (124)
Nonparametric Bayes Modeling of Populations of Networks (2014) (123)
Fast Approximate Quadratic Programming for Graph Matching (2015) (122)
Cross-species functional alignment reveals evolutionary hierarchy within the connectome (2019) (112)
A Bayesian approach for inferring neuronal connectivity from calcium fluorescent imaging data (2011) (111)
DeltaCon: Principled Massive-Graph Similarity Function with Attribution (2016) (104)
Consistent Adjacency-Spectral Partitioning for the Stochastic Block Model When the Model Parameters Are Unknown (2012) (104)
Preventing cytokine storm syndrome in COVID-19 using α-1 adrenergic receptor antagonists. (2020) (86)
Quantifying Mesoscale Neuroanatomy Using X-Ray Microtomography (2016) (75)
Graph Classification Using Signal-Subgraphs: Applications in Statistical Connectomics (2011) (68)
Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace (2019) (67)
Toward Neurosubtypes in Autism (2020) (63)
Differential tuning and population dynamics of excitatory and inhibitory neurons reflect differences in local intracortical connectivity (2011) (61)
The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience (2013) (60)
Toward a connectivity gradient-based framework for reproducible biomarker discovery (2020) (59)
On a two-truths phenomenon in spectral graph clustering (2018) (55)
Statistical Inference on Errorfully Observed Graphs (2012) (51)
MIGRAINE: MRI Graph Reliability Analysis and Inference for Connectomics (2013) (51)
Factors affecting characterization and localization of interindividual differences in functional connectivity using MRI (2016) (50)
Multichannel Electrophysiological Spike Sorting via Joint Dictionary Learning and Mixture Modeling (2013) (49)
A community-developed open-source computational ecosystem for big neuro data (2018) (49)
Spectral clustering for divide-and-conquer graph matching (2013) (49)
From Distance Correlation to Multiscale Graph Correlation (2017) (47)
A High-Throughput Pipeline Identifies Robust Connectomes But Troublesome Variability (2018) (44)
Magnetic Resonance Connectome Automated Pipeline: An Overview (2012) (44)
To the Cloud! A Grassroots Proposal to Accelerate Brain Science Discovery (2016) (42)
A Comparison of Supervised Machine Learning Algorithms and Feature Vectors for MS Lesion Segmentation Using Multimodal Structural MRI (2014) (38)
The exact equivalence of distance and kernel methods in hypothesis testing (2018) (37)
Science in the cloud (SIC): A use case in MRI connectomics (2016) (35)
Accurate prediction of AD patients using cortical thickness networks (2013) (35)
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching (2013) (35)
A resource from 3D electron microscopy of hippocampal neuropil for user training and tool development (2015) (35)
Biological underpinnings for lifelong learning machines (2022) (34)
Joint Embedding of Graphs (2017) (34)
A joint graph inference case study: the C. elegans chemical and electrical connectomes (2015) (33)
Discovering and deciphering relationships across disparate data modalities (2016) (33)
VESICLE: Volumetric Evaluation of Synaptic Inferfaces using Computer Vision at Large Scale (2014) (33)
Removing the Reliability Bottleneck in Functional Magnetic Resonance Imaging Research to Achieve Clinical Utility. (2021) (30)
An automated images-to-graphs framework for high resolution connectomics (2014) (29)
Bagging improves reproducibility of functional parcellation of the human brain (2018) (29)
Connectome Smoothing via Low-Rank Approximations (2016) (29)
Sparse Projection Oblique Randomer Forests (2015) (28)
Bayesian crack detection in ultra high resolution multimodal images of paintings (2013) (26)
Deep learning for brains?: Different linear and nonlinear scaling in UK Biobank brain images vs. machine-learning datasets (2019) (26)
Imaging action potentials with calcium indicators. (2009) (26)
Statistical Connectomics (2020) (25)
Semiparametric spectral modeling of the Drosophila connectome (2017) (25)
Selected reaction monitoring approach for validating peptide biomarkers (2017) (24)
Seeded Graph Matching Via Joint Optimization of Fidelity and Commensurability. (2014) (24)
The Chi-Square Test of Distance Correlation (2019) (24)
Impact of concatenating fMRI data on reliability for functional connectomics (2020) (24)
Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs (2016) (24)
Fast Approximate Quadratic Programming for Large (Brain) Graph Matching (2011) (24)
Computing scalable multivariate glocal invariants of large (brain-) graphs (2013) (23)
GraSPy: Graph Statistics in Python (2019) (23)
Joint embedding: A scalable alignment to compare individuals in a connectivity space (2020) (23)
ndmg: NeuroData's MRI Graphs pipeline (2016) (22)
Visualizing synaptic plasticity in vivo by large-scale imaging of endogenous AMPA receptors (2020) (22)
Variability and heritability of mouse brain structure: Microscopic MRI atlases and connectomes for diverse strains (2020) (22)
Accurate action potential inference from a calcium sensor protein through biophysical modeling (2018) (22)
Network dependence testing via diffusion maps and distance-based correlations (2017) (21)
Robust Vertex Classification (2013) (20)
Standardizing human brain parcellations (2019) (20)
From Cosmos to Connectomes: The Evolution of Data-Intensive Science (2014) (20)
Connectal coding: discovering the structures linking cognitive phenotypes to individual histories (2019) (20)
Psychiatry: Insights into depression through normative decision-making models (2008) (19)
Moving Beyond Processing and Analysis-Related Variation in Neuroscience (2021) (18)
Alpha-1 adrenergic receptor antagonists to prevent hyperinflammation and death from lower respiratory tract infection (2020) (18)
Alpha-1 adrenergic receptor antagonists for preventing acute respiratory distress syndrome and death from cytokine storm syndrome. (2020) (18)
Targeting the catecholamine-cytokine axis to prevent SARS-CoV-2 cytokine storm syndrome (2020) (17)
The Association Between Alpha-1 Adrenergic Receptor Antagonists and In-Hospital Mortality from COVID-19 (2020) (17)
A Comprehensive Cloud Framework for Accurate and Reliable Human Connectome Estimation and Meganalysis (2017) (17)
Shuffled Graph Classification: Theory and Connectome Applications (2011) (16)
Manifold matching using shortest-path distance and joint neighborhood selection (2014) (16)
The Exact Equivalence of Independence Testing and Two-Sample Testing (2019) (16)
Towards Neurosubtypes in Autism (2019) (15)
A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information (2016) (15)
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics (2021) (14)
ROFLMAO: Robust Oblique Forests with Linear MAtrix Operations (2017) (14)
Eliminating accidental deviations to minimize generalization error: applications in connectomics and genomics (2019) (14)
Large (Brain) Graph Matching via Fast Approximate Quadratic Programming (2011) (13)
Fast Inexact Graph Matching with Applications in Statistical Connectomics (2011) (13)
Supervised dimensionality reduction for big data (2021) (12)
Synaptic molecular imaging in spared and deprived columns of mouse barrel cortex with array tomography (2014) (12)
Are mental properties supervenient on brain properties? (2009) (12)
knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library (2016) (12)
Towards a theory of out-of-distribution learning (2021) (12)
Forest Packing: Fast, Parallel Decision Forests (2018) (12)
Magnetic Resonance Connectome Automated Pipeline (2011) (12)
Real-Time Inference for a Gamma Process Model of Neural Spiking (2013) (11)
Network-Based Classification Using Cortical Thickness of AD Patients (2011) (11)
Deformably registering and annotating whole CLARITY brains to an atlas via masked LDDMM (2016) (11)
The Association Between Alpha-1 Adrenergic Receptor Antagonists and In-Hospital Mortality From COVID-19 (2021) (11)
Federated Causal Inference in Heterogeneous Observational Data (2021) (11)
Department of Applied Mathematics and Statistics (11)
Grand Challenges for Global Brain Sciences (2016) (11)
Probabilistic fluorescence-based synapse detection (2016) (11)
An SSD-based eigensolver for spectral analysis on billion-node graphs (2016) (10)
Kernel k-Groups via Hartigan’s Method (2017) (10)
A Diffeomorphic Approach to Multimodal Registration with Mutual Information: Applications to CLARITY Mouse Brain Images (2016) (10)
Suboptimal phenotypic reliability impedes reproducible human neuroscience (2022) (10)
Gradient-Domain Fusion for Color Correction in Large EM Image Stacks (2015) (10)
On statistical tests of functional connectome fingerprinting (2018) (10)
mvlearn: Multiview Machine Learning in Python (2020) (10)
Toward Community-Driven Big Open Brain Science: Open Big Data and Tools for Structure, Function, and Genetics. (2020) (10)
Sex Differences in the Human Connectome (2013) (10)
Association of α1-Blocker Receipt With 30-Day Mortality and Risk of Intensive Care Unit Admission Among Adults Hospitalized With Influenza or Pneumonia in Denmark (2021) (9)
Representation Ensembling for Synergistic Lifelong Learning with Quasilinear Complexity (2020) (9)
Robust Estimation from Multiple Graphs under Gross Error Contamination (2017) (9)
Optimizing the Quantity/Quality Trade-Off in Connectome Inference (2011) (9)
Organoid intelligence (OI): the new frontier in biocomputing and intelligence-in-a-dish (2023) (8)
mgcpy: A Comprehensive High Dimensional Independence Testing Python Package (2019) (8)
Optimal Experimental Design for Big Data: Applications in Brain Imaging (2019) (8)
Is Neuroscience FAIR? A Call for Collaborative Standardisation of Neuroscience Data (2022) (8)
Big Data Reproducibility: Applications in Brain Imaging and Genomics (2020) (8)
Randomer Forests (2015) (8)
When are Deep Networks really better than Decision Forests at small sample sizes, and how? (2021) (8)
Graph Independence Testing (2019) (7)
Gradient-Domain Processing for Large EM Image Stacks (2013) (7)
Multiple Network Embedding for Anomaly Detection in Time Series of Graphs. (2020) (7)
From Distance Correlation to Multiscale Generalized Correlation (2017) (7)
An M-estimator for reduced-rank system identification (2016) (7)
Signal Subgraph Estimation Via Vertex Screening (2018) (7)
The connectome of an insect brain (2022) (7)
hyppo: A Comprehensive Multivariate Hypothesis Testing Python Package (2019) (7)
Decision Forests Induce Characteristic Kernels (2018) (6)
Random Projection Forests (2015) (6)
FlashMatrix: Parallel, Scalable Data Analysis with Generalized Matrix Operations using Commodity SSDs (2016) (6)
Building NDStore Through Hierarchical Storage Management and Microservice Processing (2018) (6)
Volumetric Exploitation of Synaptic Information using Context Localization and Evaluation (2014) (6)
A general approach to progressive learning (2020) (6)
Semi-External Memory Sparse Matrix Multiplication on Billion-node Graphs in a Multicore Architecture (2016) (6)
Statistical Analysis of Data Repeatability Measures (2020) (6)
CloudReg: automatic terabyte-scale cross-modal brain volume registration (2021) (6)
Manifold Forests: Closing the Gap on Neural Networks (2019) (5)
OOPSI: A family of optimal optical spike inference algorithms for inferring neural connectivity from population calcium imaging (2009) (5)
Fitting Splines to Axonal Arbors Quantifies Relationship Between Branch Order and Geometry (2021) (5)
Discovering Relationships and their Structures Across Disparate Data Modalities (2016) (5)
An optimized protocol for iDISCO+ rat brain clearing, imaging, and analysis (2019) (5)
Graph Matching via Optimal Transport (2021) (5)
AutoGMM: Automatic and Hierarchical Gaussian Mixture Modeling in Python (2019) (4)
FlashR: parallelize and scale R for machine learning using SSDs (2018) (4)
DeltaCon (2016) (4)
Estimating Information-Theoretic Quantities with Random Forests (2019) (4)
Multiscale Dictionary Learning for Estimating Conditional Distributions (2013) (4)
Omnidirectional Transfer for Quasilinear Lifelong Learning (2021) (4)
Accuracy of saccades to remembered targets as a function of body orientation in space. (2003) (4)
Modern Machine Learning: Partition & Vote (2020) (4)
Estimating Information-Theoretic Quantities with Uncertainty Forests (2019) (4)
Hidden Markov modeling for maximum probability neuron reconstruction (2021) (4)
Prospective Learning: Back to the Future (2022) (4)
AutoGMM: Automatic Gaussian Mixture Modeling in Python (2019) (4)
A how-to guide for conducting retrospective analyses: example COVID-19 study (2020) (4)
Resource Saturated Reconstruction of a Volume of Neocortex (3)
A partition-based similarity for classification distributions (2020) (3)
Response to Comments on “The Predictive Capacity of Personal Genome Sequencing” (2012) (3)
Neuronal classification from network connectivity via adjacency spectral embedding (2020) (3)
Ten Rules for Conducting Retrospective Pharmacoepidemiological Analyses: Example COVID-19 Study (2020) (3)
Geometric Dimensionality Reduction for Subsequent Classification (2017) (3)
The Baltimore declaration toward the exploration of organoid intelligence (2023) (3)
Valid two‐sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics (2019) (3)
Discovering Relationships Across Disparate Data Modalities (2016) (3)
When are Deep Networks really better than Random Forests at small sample sizes? (2021) (3)
Parallel inversion of huge covariance matrices (2013) (3)
Geodesic Forests (2020) (3)
First Organoid Intelligence (OI) workshop to form an OI community (2023) (3)
Dynamic Silos: Increased Modularity in Intra-organizational Communication Networks during the Covid-19 Pandemic (2021) (3)
Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic (2021) (3)
Geodesic Learning via Unsupervised Decision Forests (2019) (2)
Independence Testing for Multivariate Time Series (2019) (2)
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes (2014) (2)
Thermal sensors improve wrist-worn position tracking (2019) (2)
P-Values in a Post-Truth World (2020) (2)
Batch Effects are Causal Effects: Applications in Human Connectomics (2021) (2)
A low-resource reliable pipeline to democratize multi-modal connectome estimation and analysis (2021) (2)
GREMLIN : GRAPH ESTIMATION FROM MR IMAGES LEADING TO INFERENCE IN NEUROSCIENCE (2016) (2)
Graphyti: A Semi-External Memory Graph Library for FlashGraph (2019) (2)
A Guide for Quantifying and Optimizing Measurement Reliability for the Study of Individual Differences (2022) (2)
Node-Specific Heritability in the Mouse Connectome (2019) (2)
Learning to rank via combining representations (2020) (2)
COVID-19 outcomes among hospitalized men with or without exposure to alpha-1-adrenergic receptor blocking agents (2021) (2)
Bisected graph matching improves automated pairing of bilaterally homologous neurons from connectomes (2022) (2)
Rejoinder: Nonparametric Bayes Modeling of Populations of Networks (2017) (2)
Q&A: What is the Open Connectome Project? (2011) (2)
Inference From Population Calcium Imaging Fast Nonnegative Deconvolution for Spike Train (2010) (2)
Author response: Alpha-1 adrenergic receptor antagonists to prevent hyperinflammation and death from lower respiratory tract infection (2021) (2)
An optimized tissue clearing protocol for rat brain labeling, imaging, and high throughput analysis (2019) (1)
Why do networks have inhibitory/negative connections? (2022) (1)
Fcp-Indi/C-Pac: Cpac Version 1.0.1B Beta (2017) (1)
Inferring the Structure of Populations of Neurons using a Sequential Monte Carlo EM Algorithm (2006) (1)
MRI Graph Analysis and Inference for Connectomics ( MIGRAINE ) (2013) (1)
Improving Power of 2-Sample Random Graph Tests with Applications in Connectomics (2019) (1)
Are all brains wired equally (2013) (1)
Nonparametric MANOVA via Independence Testing (2019) (1)
Random Forests for Adaptive Nearest Neighbor Estimation of Information-Theoretic Quantities (2019) (1)
clusterNOR: A NUMA-Optimized Clustering Framework (2019) (1)
Linear Optimal Low Rank Projection for High-Dimensional Multi-class Data (2017) (1)
C-PAC: CPAC Version 0.3.8.1 Alpha (2015) (1)
Ensembling Representations for Synergistic Lifelong Learning with Quasilinear Complexity (2021) (1)
Out-of-distribution Detection Using Kernel Density Polytopes (2022) (1)
Alpha-1 adrenergic receptor antagonists prevent acute respiratory distress syndrome and death: implications for Coronavirus disease 2019 (2020) (1)
An M-Estimator for Reduced-Rank High-Dimensional Linear Dynamical System Identification (2015) (1)
The Value of Out-of-Distribution Data (2022) (1)
The Learning Salon: Toward a new participatory science (2021) (1)
Preserving Derivative Information while Transforming Neuronal Curves (2023) (0)
open-connectome: v0.9 (2015) (0)
Exploration of Residual Confounding in Analyses of Associations of Metformin Use and Outcomes in Adults With Type 2 Diabetes (2022) (0)
Out-of-distribution and in-distribution posterior calibration using Kernel Density Polytopes (2022) (0)
NIH Grant Application Testing the effects of genetic variations using MINIME technology (1999) (0)
NeuroStorm: Accelerating Brain Science Discovery in the Cloud (2018) (0)
A retrospective clinical study supporting the rationale for trials of Alpha-1 Adrenoreceptor Antagonists to prevent cytokine storm and severe COVID-19 (2020) (0)
Research Program in Applied Neuroscience (2010) (0)
Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror (2023) (0)
open-connectome: Second Release, compatible with API version 1.4 (2015) (0)
Generative network modeling reveals quantitative definitions of bilateral symmetry exhibited by a whole insect brain connectome (2022) (0)
An Automated Images-to-Graphs Pipeline for High Resolution Connectomics (2014) (0)
first (and probably only) release (2014) (0)
NUMA-optimized In-memory and Semi-external-memory Parameterized Clustering (2016) (0)
CAJAL: CAJAL v1.8.0 Release Candidate 2 (2015) (0)
FlashR: R-Programmed Parallel and Scalable Machine Learning using SSDs (2016) (0)
m2g v1.1.1 (2015) (0)
open-connectome: OCP v0.5, Compatible with API v1.6 (2015) (0)
Preserving Derivative Information while Transforming Neuronal Curves (2023) (0)
Model-based optimal inference of spike times and calcium dy- namics given noisy and intermittent calcium-fluorescence imag- ing (2007) (0)
Shuffled Graph Classification: Theory and Connectome Applications (2015) (0)
Deep discriminative to kernel generative modeling (2022) (0)
Sex Di erences in the Human Connectome (2012) (0)
first (and possibly only) release. code should work. (2014) (0)
Learning Interpretable Characteristic Kernels via Decision Forests (2018) (0)
Multiscale Comparative Connectomics. (2020) (0)
Why Do Networks Need Negative Weights? (2022) (0)
GruteDB: an optimized open-source distributed DTI pipeline estimates brain graphs from >5,000 publicly-available scans enabling mega-analysis (2016) (0)
Author response: Discovering and deciphering relationships across disparate data modalities (2018) (0)
Robust Similarity and Distance Learning via Decision Forests (2020) (0)
CAJAL: CAJAL v1.8.0 Release Candidate 1 (2015) (0)
Linear Optimal Low Rank Projection Provably Outperforms Principal Components Analysis in High-Dimensional Multi-class Data (2017) (0)
we never published this, so if somebody finds it, probably best to cite this code :) (2014) (0)
i doubt this code works. (2014) (0)
Discovery of Multi-Level Network Differences Across Populations of Heterogeneous Connectomes (2020) (0)
Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis (2023) (0)
m2g: m2g - reliable and scalable connectome estimation (2015) (0)
Distance-based positive and unlabeled learning for ranking (2020) (0)
Simplest Streaming Trees (2021) (0)
open-connectome: OCP v0.8 (2015) (0)
Stability and Localization of inter-individual differences in functional connectivity (2015) (0)
Community Connectomics via Cloud Computing Utilizing m2g: a Reference Pipeline (2015) (0)
( A ) Obtain Samples ( B ) Learn Projection ( C ) Project Samples ( D ) Learn Classifier (2018) (0)
Energy Clustering (2017) (0)
Polarity is all you need to learn and transfer faster (2023) (0)
Accurate prediction of AD patients using cortical thickness networks (2012) (0)
BLOCKSET (Block-Aligned Serialized Trees): Reducing Inference Latency for Tree ensemble Deployment (2021) (0)
Streaming Decision Trees and Forests (2021) (0)
CAJAL: CAJAL v1.8.0 Release Candidate 3 (2015) (0)
A community-developed open-source computational ecosystem for big neuro data (2018) (0)
Human Connectomes are Heritable (2023) (0)
Improving Corticostriatal Parcellation Through Multilevel Bagging with PyBASC (2018) (0)
open-connectome: OCP v0.6, Compatible with API v1.6 (2015) (0)
A general approach to progressive intelligence (2020) (0)
Inpatient Administration of Alpha-1-Adrenergic Receptor Blocking Agents Reduces Mortality in Male COVID-19 Patients (2022) (0)
A New Age of Computing and the Brain (2014) (0)
BrainLine: An Open Pipeline for Connectivity Analysis of Heterogeneous Whole-Brain Fluorescence Volumes (2023) (0)
Heritability of the Mouse Brain Connectome (2019) (0)
FlashR (2018) (0)
Vertex Classification on Weighted Networks (2018) (0)
open-connectome: OCP v0.7-beta.1 (2015) (0)
AComprehensive Cloud Framework for Scalable, Reliable, and Replicable Human Connectome Es- timation and Meganalysis (2017) (0)
PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment (2020) (0)
Decision Forests vs. Deep Networks: Conceptual Similarities and Empirical Differences at Small Sample Sizes (2021) (0)
m2g: m2g v1.1.1: documentation and minor bug fixes (2015) (0)
Metformin: We need to either put it in our drinking water or rethink how we study it (2021) (0)
Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks (2019) (0)

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Why Is Joshua Vogelstein Influential?

Joshua Vogelstein's Published Works

Published Works

Other Resources About Joshua Vogelstein

What Schools Are Affiliated With Joshua Vogelstein?

Joshua Vogelstein's AcademicInfluence.com Rankings