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

Adrian Celaya

Google (United States)

ORCID: 0000-0003-0041-7239

Also affiliated with The University of Texas MD Anderson Cancer Center, Rice University

MedicineComputer ScienceNeuroscienceEarth and Planetary Sciences

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 6 papers. Top paper: “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”.

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

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

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