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John Muschelli

University of Baltimore · US
Area of research
Radiology, Nuclear Medicine and Imaging · Neurology
Research interest
Research interests include Radiomics and Machine Learning in Medical Imaging, Intracerebral and Subarachnoid Hemorrhage Research, Functional Brain Connectivity Studies, and Advanced Neuroimaging Techniques and Applications.
h-index
37
citations
6,739
works
235
NIH funding
primary concept
Medicine
email

Recent publications

Association of postoperative delirium with haemodynamic determinants of cerebral perfusion pressure during cardiac surgery: a retrospective cohort study
British Journal of Anaesthesia 2026cited by 0position: contributordoi
Comparing Step-Counting Algorithms for High-Resolution Wrist Accelerometry Data in Older Adults in the ARIC Study.
2025cited by 0position: contributordoi
stepcount: Estimate Step Counts from 'Accelerometry' Data
CRAN: Contributed Packages 2024cited by 0position: contributordoi
Comparison of Accelerometry-Based Measures of Physical Activity: Retrospective Observational Data Analysis Study.
2022cited by 33position: contributordoi
Predictive performance of selected breath volatile organic carbon compounds in stage 1 lung cancer
Translational Lung Cancer Research 2022cited by 12position: middledoi
Bayesian deep learning outperforms clinical trial estimators of intracerebral and intraventricular hemorrhage volume
Journal of Neuroimaging 2022cited by 11position: lastdoi
Comparison of Accelerometry-Based Measures of Physical Activity: Retrospective Observational Data Analysis Study (Preprint)
2022cited by 0position: contributordoi
Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure
2022cited by 0position: contributordoi
Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure
2022cited by 0position: contributordoi
The ANTsX ecosystem for quantitative biological and medical imaging
Scientific Reports 2021cited by 379position: middledoi
Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative
JAMA Network Open 2021cited by 246position: middledoi
Patient Trajectories Among Persons Hospitalized for COVID-19 : A Cohort Study.
2021cited by 171position: contributordoi
Development of Severe COVID-19 Adaptive Risk Predictor (SCARP), a Calculator to Predict Severe Disease or Death in Hospitalized Patients With COVID-19.
2021cited by 47position: contributordoi
The National COVID Cohort Collaborative: Clinical Characterization and Early Severity Prediction
2021cited by 41position: contributordoi
Diurnal Physical Activity Patterns across Ages in a Large UK Based Cohort: The UK Biobank Study.
2021cited by 8position: contributordoi
read.gt3x: Parse 'ActiGraph' 'GT3X'/'GT3X+' 'Accelerometer' Data
CRAN: Contributed Packages 2021cited by 2position: contributordoi
fMRIscrub: Scrubbing and Other Data Cleaning Routines for fMRI
CRAN: Contributed Packages 2021cited by 0position: contributordoi
cforward: Forward Selection using Concordance/C-Index
CRAN: Contributed Packages 2021cited by 0position: contributordoi
Patient Trajectories Among Persons Hospitalized for COVID-19
Annals of Internal Medicine 2020cited by 221position: middledoi
3D Deep Neural Network Segmentation of Intracerebral Hemorrhage: Development and Validation for Clinical Trials
Neuroinformatics 2020cited by 67position: lastdoi
Relationship of White Matter Lesions with Intracerebral Hemorrhage Expansion and Functional Outcome: MISTIE II and CLEAR III
Neurocritical Care 2020cited by 22position: middledoi
TAPAS: A Thresholding Approach for Probability Map Automatic Segmentation in Multiple Sclerosis.
2020cited by 3position: contributordoi
iglu: Interpreting Glucose Data from Continuous Glucose Monitors
CRAN: Contributed Packages 2020cited by 0position: contributordoi
The ANTsX ecosystem for quantitative biological and medical imaging
2020cited by 0position: contributordoi
ROC and AUC with a Binary Predictor: a Potentially Misleading Metric
Journal of Classification 2019cited by 270position: contributordoi
text2speech: Text to Speech Conversion
CRAN: Contributed Packages 2019cited by 0position: contributordoi
TAPAS: A Thresholding Approach for Probability Map Automatic Segmentation in Multiple Sclerosis
2019cited by 0position: contributordoi
Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure
Scientific Reports 2018cited by 280position: middledoi
Thrombolytic removal of intraventricular haemorrhage in treatment of severe stroke: results of the randomised, multicentre, multiregion, placebo-controlled CLEAR III trial
The Lancet 2017cited by 485position: middledoi
Radiomic subtyping improves disease stratification beyond key molecular, clinical, and standard imaging characteristics in patients with glioblastoma
Neuro-Oncology 2017cited by 210position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

· 19 papers (2019–2026)Daniel F. Hanley · Johns Hopkins University7 papers (2012–2022)Issam A. Awad · University of Chicago5 papers (2012–2022)Natalie Ullman · University of Pennsylvania5 papers (2012–2020)Ciprian M. Crainiceanu · Johns Hopkins University4 papers (2015–2022)W. Andrew Mould · Johns Hopkins University4 papers (2013–2022)Russell T. Shinohara · California University of Pennsylvania4 papers (2016–2017)Brian Caffo · Johns Hopkins University4 papers (2012–2015)James J. Pekar · Kennedy Krieger Institute4 papers (2012–2015)Ulf Neuberger · Heidelberg University3 papers (2016–2017)Michael Goetz · Universität Ulm3 papers (2016–2017)Jennifer A Schrack · Google (United States)3 papers (2022–2025)Amal A Wanigatunga · Bloomberg (United States)3 papers (2022–2025)Anita D. Barber · Feinstein Institute for Medical Research3 papers (2012–2014)Martin Bendszus · University Hospital and Clinics3 papers (2016–2017)David Bonekamp · Heidelberg University3 papers (2016–2017)Stewart H. Mostofsky · Kennedy Krieger Institute3 papers (2012–2014)Klaus Maier‐Hein · German Cancer Research Center3 papers (2016–2017)Philipp Kickingereder · University of Bonn3 papers (2016–2017)Antje Wick · Heidelberg University3 papers (2016–2017)