Ronnie Sebro

The University of Texas MD Anderson Cancer Center

Also affiliated with WinnMed, Mayo Clinic in Florida, Scripps MD Anderson Cancer Center

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 1%percentile

5.5Author DataRank

Indexed papers

3in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 3 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

Radiology Artificial Intelligence(2024)10.1148/ryai.240300

Top 4%

5.0DataRank

Top 4%375 citations

Michail E. Klontzas, Anthony A. Gatti, John Mongan, Linda Moy, Seong Ho Park +75 more

Papers

Driven by 23 papers — median percentile 79. Top paper: “Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update”.

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

Radiology Artificial Intelligence(2024)10.1148/ryai.240300

Top 4%

5.0DataRank

Top 4%375 citations

Michail E. Klontzas, Anthony A. Gatti, John Mongan, Linda Moy, Seong Ho Park +75 more

Testing for non‐random mating: evidence for ancestry‐related assortative mating in the Framingham heart study

Genetic Epidemiology(2010)10.1002/gepi.20528

N/A

0.604DataRank · unranked

55 citations

Thomas J. Hoffman, Christoph Lange, John J. Rogus, Neil J. Risch, Ronnie Sebro

Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data

Korean Journal of Radiology(2021)10.3348/kjr.2020.1104

Top 37%

0.524DataRank

Top 37%32 citations

Yanhe Xiao, Zhicheng Jiao, Rujapa Thepumnoeysuk, Kasey Halsey, Jing Wu +17 more

Opportunistic screening for osteoporosis and osteopenia from CT scans of the abdomen and pelvis using machine learning

European Radiology(2022)10.1007/s00330-022-09136-0

N/A

0DataRank · unranked

34 citations

Cynthia De la Garza‐Ramos, Ronnie Sebro

Does NIH funding differ between medical specialties? A longitudinal analysis of NIH grant data by specialty and type of grant, 2011–2020

BMJ Open(2022)10.1136/bmjopen-2021-058191

N/A

0DataRank · unranked

34 citations

Ronnie Sebro, Andrew Schlafly

Machine learning for the prediction of osteopenia/osteoporosis using the CT attenuation of multiple osseous sites from chest CT

European Journal of Radiology(2022)10.1016/j.ejrad.2022.110474

N/A

0DataRank · unranked

30 citations

Cynthia De la Garza‐Ramos, Ronnie Sebro

Machine Learning for Opportunistic Screening for Osteoporosis from CT Scans of the Wrist and Forearm

Diagnostics(2022)10.3390/diagnostics12030691

N/A

0DataRank · unranked

26 citations

Cynthia De la Garza‐Ramos, Ronnie Sebro

Utilizing machine learning for opportunistic screening for low BMD using CT scans of the cervical spine

Journal of Neuroradiology(2022)10.1016/j.neurad.2022.08.001

N/A

0DataRank · unranked

21 citations

Cynthia De la Garza‐Ramos, Ronnie Sebro

Support vector machines are superior to principal components analysis for selecting the optimal bones’ CT attenuations for opportunistic screening for osteoporosis using CT scans of the foot or ankle

Osteoporosis and Sarcopenia(2022)10.1016/j.afos.2022.09.002

N/A

0DataRank · unranked

9 citations

Cynthia De la Garza‐Ramos, Ronnie Sebro

Statistical estimation of deltoid subcutaneous fat pad thickness: implications for needle length for vaccination

Scientific Reports(2022)10.1038/s41598-022-05020-5

N/A

0DataRank · unranked

9 citations

Ronnie Sebro

Correction: Sebro, R.; De la Garza-Ramos, C. Machine Learning for Opportunistic Screening for Osteoporosis from CT Scans of the Wrist and Forearm. Diagnostics 2022, 12, 691

Diagnostics(2022)10.3390/diagnostics12112635

N/A

0DataRank · unranked

1 citations

Cynthia De la Garza‐Ramos, Ronnie Sebro

Detecting whether L1 or other lumbar levels would be excluded from DXA bone mineral density analysis during opportunistic CT screening for osteoporosis using machine learning

International Journal of Computer Assisted Radiology and Surgery(2023)10.1007/s11548-023-02910-5

N/A

0DataRank · unranked

7 citations

Cynthia De la Garza‐Ramos, Jeffrey J. Peterson, Ronnie Sebro

Including diverse and admixed populations in genetic epidemiology research

Genetic Epidemiology(2022)10.1002/gepi.22492

N/A

0DataRank · unranked

49 citations

Fasil Tekola‐Ayele, Burcu F. Darst, Xuexia Wang, Yeunjoo E. Song, Jiang Gui +5 more

Mitigating Bias in Clinical Machine Learning Models

Current Treatment Options in Cardiovascular Medicine(2024)10.1007/s11936-023-01032-0

N/A

0DataRank · unranked

20 citations

Andrew S. Tseng, Keith Mcconn, Sara Elattar, Olayemi Sokumbi, Ronnie Sebro +5 more

Can we screen opportunistically for low bone mineral density using CT scans of the shoulder and artificial intelligence?

British Journal of Radiology(2024)10.1093/bjr/tqae109

N/A

0DataRank · unranked

7 citations

Cynthia De la Garza‐Ramos, Ronnie Sebro

Optimized surveillance frequency for low bone mineral density (BMD) screening using dual-energy X-ray absorptiometry (DXA) in patients after lung transplant

The Journal of Heart and Lung Transplantation(2024)10.1016/j.healun.2024.10.028

N/A

0DataRank · unranked

3 citations

Mahmoud Elmahdy, Ronnie Sebro

Opportunistic Screening for Osteoporosis Using Hand Radiographs – A Feature Augmentation Study Technique (FAST)

Studies in health technology and informatics(2024)10.3233/shti240411

N/A

0DataRank · unranked

1 citations

Ronnie Sebro, Farid Ghareh Mohammadi

Phenotypic and ancestry-related assortative mating in autism

Molecular Autism(2024)10.1186/s13229-024-00605-5

N/A

0DataRank · unranked

2 citations

J. Dylan Weissenkampen, Rachel L. Kember, David M. Hougaard, Jonas Bybjerg‐Grauholm, Thomas Werge +10 more

Deep learning opportunistic screening for osteoporosis and osteopenia using radiographs of the foot or ankle – A pilot study

European Journal of Radiology(2025)10.1016/j.ejrad.2025.111980

N/A

0DataRank · unranked

6 citations

Ronnie Sebro, Farid Gharehmohammadi

Artificial Intelligence and Machine Learning for Osteoarthritis and Cartilage Assessment

Radiologic Clinics of North America(2025)10.1016/j.rcl.2025.09.001

N/A

0DataRank · unranked

1 citations

Ronnie Sebro, Stephanie Y. Jo

Longitudinal assessment of bone mineral density changes after heart transplant: Implications for DXA screening frequency

The Journal of Heart and Lung Transplantation(2025)10.1016/j.healun.2025.01.020

N/A

0DataRank · unranked

0 citations

Mahmoud Elmahdy, Ayanna Braxton, Ronnie Sebro

A statistical model to determine the optimal bone mineral density (BMD) screening schedule in liver transplant recipients

Journal of Liver Transplantation(2025)10.1016/j.liver.2025.100295

N/A

0DataRank · unranked

0 citations

E. Pugh Meredith, Farid Gharehmohammadi, Mahmoud Elmahdy, Ronnie Sebro, Harish Reddy Koyya

CT Attenuation and Cross-sectional-area Index of the Pectoralis Are Associated With Prognosis in Sarcoma Patients

Anticancer Research(2021)10.21873/anticanres.14959

N/A

0DataRank · unranked

5 citations

Ronnie Sebro, Stephanie Y. Jo

Ronnie Sebro

Indexed papers

Top data-sharing exemplar

Papers