🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Michael A. Jacobs

The University of Texas MD Anderson Cancer Center

ORCID: 0000-0002-1125-1644

Also affiliated with Johns Hopkins University, Johns Hopkins Medicine, VA Pittsburgh Healthcare System, The University of Texas Health Science Center, Rice University

Medicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 12 papers. Top paper: “Automated Lung Ultrasound Pulmonary Disease Quantification Using an Unsupervised Machine Learning Technique for COVID-19”.

Automated Lung Ultrasound Pulmonary Disease Quantification Using an Unsupervised Machine Learning Technique for COVID-19

Diagnostics(2023)10.3390/diagnostics13162692
N/A
0.241DataRank · unranked
4 citations

Michael A. Jacobs, Alireza Akhbardeh, Hersh Sagreiya

Brain metabolites in cholinergic and glutamatergic pathways are altered by pancreatic cancer cachexia

Journal of Cachexia Sarcopenia and Muscle(2020)10.1002/jcsm.12621
N/A
0DataRank · unranked
22 citations

Santosh Kumar Bharti, Raj Kumar Sharma, Balaji Krishnamachary, Yelena Mironchik, Marie‐France Penet +7 more

Integrated Multiparametric Radiomics and Informatics System for Characterizing Breast Tumor Characteristics with the OncotypeDX Gene Assay

Cancers(2020)10.3390/cancers12102772
N/A
0DataRank · unranked
26 citations

Christopher B. Umbricht, Vishwa S. Parekh, Riham H. El Khouli, Leslie Cope, Katarzyna J. Macura +3 more

Letter: Design flaws in study of differentiating functional abdominal pain, recurrent acute pancreatitis and chronic pancreatitis via radiomics features. Authors’ reply

European Journal of Radiology(2020)10.1016/j.ejrad.2020.108871
N/A
0DataRank · unranked
0 citations

Vikesh K. Singh, Rouzbeh Mashayekhi, Vishwa S. Parekh, Michael A. Jacobs, Atif Zaheer +1 more

Multiparametric radiomic tissue signature and machine learning for distinguishing radiation necrosis from tumor progression after stereotactic radiosurgery

Neuro-Oncology Advances(2021)10.1093/noajnl/vdab150
N/A
0DataRank · unranked
21 citations

Vishwa S. Parekh, Luke Peng, Michael D. Chan, Kristin J. Redmond, M. Soike +5 more

Radiomic Analysis: Study Design, Statistical Analysis, and Other Bias Mitigation Strategies

Radiology(2022)10.1148/radiol.211597
N/A
0DataRank · unranked
81 citations

Mattea Welch, Michael A. Jacobs, Brenda F. Kurland, Amber L. Simpson, Chaya S. Moskowitz

Long-Term Stability of Gradient Characteristics Warrants Model-Based Correction of Diffusion Weighting Bias

Tomography(2022)10.3390/tomography8010030
N/A
0DataRank · unranked
5 citations

Dariya Malyarenko, Lisa J. Wilmes, Ajit Devaraj, Ek T. Tan, Luca Marinelli +6 more

Tumor Connectomics: Mapping the Intra-Tumoral Complex Interaction Network Using Machine Learning

Cancers(2022)10.3390/cancers14061481
N/A
0DataRank · unranked
4 citations

Jay J. Pillai, Katarzyna J. Macura, Peter S. LaViolette, Michael A. Jacobs, Vishwa S. Parekh

A Multidimensional Connectomics- and Radiomics-Based Advanced Machine-Learning Framework to Distinguish Radiation Necrosis from True Progression in Brain Metastases

Cancers(2023)10.3390/cancers15164113
N/A
0DataRank · unranked
12 citations

Vishwa S. Parekh, Emerson Lee, Xuguang Chen, Kristin J. Redmond, Jay J. Pillai +4 more

AI driven analysis of MRI to measure health and disease progression in FSHD

Scientific Reports(2024)10.1038/s41598-024-65802-x
N/A
0DataRank · unranked
17 citations

Olivia DuCharme, Matthew Cousins, Xue Feng, Allison Kenney, Jacob Morris +12 more

Multiparametric radiomics methods for breast cancer tissue characterization using radiological imaging

Breast Cancer Research and Treatment(2020)10.1007/s10549-020-05533-5
N/A
0DataRank · unranked
50 citations

Michael A. Jacobs, Vishwa S. Parekh

Detection of diffusely abnormal white matter in multiple sclerosis on multiparametric brain MRI using semi-supervised deep learning

Scientific Reports(2024)10.1038/s41598-024-67722-2
N/A
0DataRank · unranked
3 citations

Refaat E. Gabr, Yanyu Yang, Arash Kamali, John A. Lincoln, Michael A. Jacobs +6 more