David Fuentes

The University of Texas MD Anderson Cancer Center

MedicinePhysics and AstronomyEngineering

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 3%percentile

1.7Author DataRank

Indexed papers

2in 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 2 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.

Multimodality annotated hepatocellular carcinoma data set including pre- and post-TACE with imaging segmentation

Scientific Data(2023)10.1038/s41597-023-01928-3

Top 12%

1.7DataRank

Top 12%47 citations

Ali Morshid, Ahmed Khalaf, Mohab M. Elmohr, John D. Hazle, David Fuentes +12 more

Papers

Driven by 31 papers — median percentile 44. Top paper: “Multimodality annotated hepatocellular carcinoma data set including pre- and post-TACE with imaging segmentation”.

Multimodality annotated hepatocellular carcinoma data set including pre- and post-TACE with imaging segmentation

Scientific Data(2023)10.1038/s41597-023-01928-3

Top 12%

1.7DataRank

Top 12%47 citations

Ali Morshid, Ahmed Khalaf, Mohab M. Elmohr, John D. Hazle, David Fuentes +12 more

Mathematical modeling of mass and energy transport for thermoembolization

International Journal of Hyperthermia(2020)10.1080/02656736.2020.1749317

N/A

0DataRank · unranked

5 citations

Samuel J. Fahrenholtz, Chunxiao Guo, Christopher J. MacLellan, Rick R. Layman, Béatrice Rivière +3 more

Imaging-based characterization of convective tissue properties

International Journal of Hyperthermia(2020)10.1080/02656736.2020.1845403

N/A

0DataRank · unranked

5 citations

Emily A. Thompson, Megan C. Jacobsen, A. Colleen Crouch, Rick R. Layman, Béatrice Rivière +2 more

Role of alkylated residues in the tetrapeptide self‐assembly—A molecular dynamics study

Journal of Computational Chemistry(2020)10.1002/jcc.26419

N/A

0DataRank · unranked

4 citations

William J. Allen, Ashok D. Pehere, Konstantin Sokolov, David Fuentes, M. Rajarajeswari

Multi-Modal Multi-Spectral Intravital Macroscopic Imaging of Signaling Dynamics in Real Time during Tumor–Immune Interactions

Cells(2021)10.3390/cells10030489

N/A

0DataRank · unranked

17 citations

Seth T. Gammon, David Fuentes, David Piwnica‐Worms, Tracy Liu

Corrections to “A Multiscale Agent-Based Model of Ductal Carcinoma in Situ” [May 20 1450-1461]

IEEE Transactions on Biomedical Engineering(2021)10.1109/tbme.2020.3044508

N/A

0DataRank · unranked

0 citations

David Fuentes, Bülent Özpolat, George A. Calin, Xiaobo Zhou, John Lowengrub +3 more

Cellular Density in Adult Glioma, Estimated with MR Imaging Data and a Machine Learning Algorithm, Has Prognostic Power Approaching World Health Organization Histologic Grading in a Cohort of 1181 Patients

American Journal of Neuroradiology(2022)10.3174/ajnr.a7620

N/A

0DataRank · unranked

1 citations

Dima Suki, Adrian Celaya, Jeffrey S. Weinberg, Sujit S. Prabhu, Raymond Sawaya +5 more

Deep learning–based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers

Medical Physics(2023)10.1002/mp.16735

N/A

0DataRank · unranked

15 citations

Anuja Jhingran, Tucker Netherton, Skylar Gay, Carlos Cárdenas, Christine Chung +14 more

Deep Learning–Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans

Practical Radiation Oncology(2023)10.1016/j.prro.2022.12.003

N/A

0DataRank · unranked

55 citations

Beth M. Beadle, Adam S. Garden, Heath D. Skinner, Skylar Gay, Tucker Netherton +18 more

Mutual-information based optimal experimental design for hyperpolarized $$^{13}$$C-pyruvate MRI

Scientific Reports(2023)10.1038/s41598-023-44958-y

N/A

0DataRank · unranked

4 citations

Christopher J. Walker, Drew Mitchell, J. Tinsley Oden, Dawid Schellingerhout, James A. Bankson +2 more

Quantitative dual‐energy computed tomography with cesium as a novel contrast agent for localization of thermochemical ablation in phantoms and ex vivo models

Medical Physics(2023)10.1002/mp.16558

N/A

0DataRank · unranked

2 citations

Megan C. Jacobsen, David Fuentes, Rick R. Layman, Erik N. K. Cressman, Emily A. Thompson

A Simulation of the Effects of Diffusion on Hyperpolarized [1-13C]-Pyruvate Signal Evolution

IEEE Transactions on Biomedical Engineering(2023)10.1109/tbme.2023.3269665

N/A

0DataRank · unranked

2 citations

Collin Harlan, David Fuentes, James A. Bankson, Reshmi J. S. Patel

Evolving Horizons in Radiotherapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification

arXiv (Cornell University)(2023)10.48550/arxiv.2310.10867

N/A

0DataRank · unranked

1 citations

Carlos Cárdenas, Barbara Marquez, Tucker Netherton, Benjamin H. Kann, Laurence E. Court +6 more

Determining The Role Of Radiation Oncologist Demographic Factors On Segmentation Quality: Insights From A Crowd-Sourced Challenge Using Bayesian Estimation

medRxiv(2023)10.1101/2023.08.30.23294786

N/A

0DataRank · unranked

0 citations

Onur Sahin, Suprateek Kundu, Diana Lin, Anthony Alanis, Salik Tehami +16 more

Artificial intelligence uncertainty quantification in radiotherapy applications − A scoping review

Radiotherapy and Oncology(2024)10.1016/j.radonc.2024.110542

N/A

0DataRank · unranked

25 citations

Zaphanlene Kaffey, David Farris, Laia Humbert‐Vidan, Amy C. Moreno, Mathis Rasmussen +9 more

Evaluating the relationship between magnetic resonance image quality metrics and deep learning‐based segmentation accuracy of brain tumors

Medical Physics(2024)10.1002/mp.17059

N/A

0DataRank · unranked

11 citations

Adrian Celaya, Joshua P. Yung, James P. Long, Satish E. Viswanath, Daniel S. Marcus +3 more

Training robust T1-weighted magnetic resonance imaging liver segmentation models using ensembles of datasets with different contrast protocols and liver disease etiologies

Scientific Reports(2024)10.1038/s41598-024-71674-y

N/A

0DataRank · unranked

9 citations

Adrian Celaya, Mohamed Eltaher, Rachel Glenn, Kari J. Brewer Savannah, Kristy K. Brock +12 more

Solutions to elliptic and parabolic problems via finite difference based unsupervised small linear convolutional neural networksImage 1

Computers & Mathematics with Applications(2024)10.1016/j.camwa.2024.08.013

N/A

0DataRank · unranked

2 citations

Keegan L. A. Kirk, David Fuentes, Béatrice Rivière, Adrian Celaya

Evolving Horizons in Radiation Therapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification

Advances in Radiation Oncology(2024)10.1016/j.adro.2024.101521

N/A

0DataRank · unranked

7 citations

Carlos Cárdenas, Barbara Marquez, Tucker Netherton, Benjamin H. Kann, Laurence E. Court +6 more

Enhancement Pattern Mapping for Early Detection of Hepatocellular Carcinoma in Patients with Cirrhosis

Journal of Hepatocellular Carcinoma(2024)10.2147/jhc.s449996

N/A

0DataRank · unranked

4 citations

David Fuentes, Millicent Roach, Tasadduk Chowdhury, Matthew Cagley, Mohamed Badawy +7 more

Uncertainty Quantification in Machine Learning Radiotherapy Applications - A Scoping Review

International Journal of Radiation Oncology*Biology*Physics(2024)10.1016/j.ijrobp.2024.07.1389

N/A

0DataRank · unranked

2 citations

K.A. Wahid, Dominic J. Farris, Laia Humbert‐Vidan, T. Netherton, G. Balakrishnan +6 more

Computed tomography radiomics-based cross-sectional detection of mandibular osteoradionecrosis in head and neck cancer survivors

medRxiv(2024)10.1101/2024.09.11.24313485

N/A

0DataRank · unranked

3 citations

Serageldin Kamel, Laia Humbert‐Vidan, Zaphanlene Kaffey, Abdulrahman Abusaif, David Fuentes +20 more

Artificial Intelligence Uncertainty Quantification in Radiotherapy Applications - A Scoping Review

medRxiv(2024)10.1101/2024.05.13.24307226

N/A

0DataRank · unranked

2 citations

Zaphanlene Kaffey, David Farris, Laia Humbert‐Vidan, Amy C. Moreno, Mathis Ersted Rasmussen +9 more

Training Robust T1-Weighted Magnetic Resonance Imaging Liver Segmentation Models Using Ensembles of Datasets with Different Contrast Protocols and Liver Disease Etiologies

Research Square(2024)10.21203/rs.3.rs-4259791/v1

N/A

0DataRank · unranked

1 citations

Mohamed Eltaher, Rachel Glenn, Kari J. Brewer Savannah, Kristy K. Brock, Jessica I. Sanchez +12 more

MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework

arXiv (Cornell University)(2024)10.48550/arxiv.2407.21343

N/A

0DataRank · unranked

1 citations

Evan Lim, Rachel Glenn, Brayden Mi, Alex Balsells, Schellingerhout, Dawid +5 more

Weak Supervision, Strong Results: Achieving High Performance in Intracranial Hemorrhage Detection with Fewer Annotation Labels

Radiology Artificial Intelligence(2024)10.1148/ryai.230598

N/A

0DataRank · unranked

0 citations

David Fuentes, Kareem A. Wahid

Associations Between Radiation Oncologist Demographic Factors and Segmentation Similarity Benchmarks: Insights From a Crowd-Sourced Challenge Using Bayesian Estimation

JCO Clinical Cancer Informatics(2024)10.1200/cci.23.00174

Top 100%

0DataRank

Top 100%0 citations

Onur Sahin, Suprateek Kundu, Diana Lin, Anthony Alanis, Salik Tehami +16 more

Two Stage Segmentation of Cervical Tumors using PocketNet

arXiv (Cornell University)(2024)10.48550/arxiv.2409.11456

N/A

0DataRank · unranked

0 citations

Celaya, Adrian E., Megan C. Jacobsen, Rachel Glenn, Wei, Peng, Sun, Jia +4 more

1D thermoembolization model using CT imaging data for porcine liver

Scientific Reports(2025)10.1038/s41598-025-06079-6

N/A

0DataRank · unranked

1 citations

Danielle L. Stolley, Steve Parrish, Megan C. Jacobsen, Rick R. Layman, C. Santos +5 more

Imaging-Based Algorithm for the Local Grading of Glioma

American Journal of Neuroradiology(2020)10.3174/ajnr.a6405

N/A

0DataRank · unranked

15 citations

Jonathan S. Lin, Jeffrey S. Weinberg, Sujit S. Prabhu, Jackson Hamilton, John D. Hazle +5 more

A Method for Sensitivity Analysis of Automatic Contouring Algorithms Across Different MRI Contrast Weightings Using SyntheticMR

medRxiv(2025)10.1101/2025.01.10.25319895

N/A

0DataRank · unranked

0 citations

Zayne Belal, Warren Floyd, Alaa Mohamed Shawky Ali, Natalie West, Samuel L. Mulder +10 more

David Fuentes

Indexed papers

Top data-sharing exemplar

Papers