Ufuk Soylu

MedicineEngineering

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: “Calibrating Data Mismatches in Deep Learning-Based Quantitative Ultrasound Using Setting Transfer Functions”.

Calibrating Data Mismatches in Deep Learning-Based Quantitative Ultrasound Using Setting Transfer Functions

IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control(2023)10.1109/tuffc.2023.3263119

N/A

0DataRank · unranked

9 citations

Michael L. Oelze, Ufuk Soylu

A Data-Efficient Deep Learning Strategy for Tissue Characterization via Quantitative Ultrasound: Zone Training

IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control(2023)10.1109/tuffc.2023.3245988

N/A

0DataRank · unranked

7 citations

Michael L. Oelze, Ufuk Soylu

Machine-to-Machine Transfer Function in Deep Learning-Based Quantitative Ultrasound

arXiv (Cornell University)(2023)10.48550/arxiv.2311.16028

N/A

0DataRank · unranked

0 citations

Michael L. Oelze, Ufuk Soylu

Machine-to-Machine Transfer Function in Deep Learning-Based Quantitative Ultrasound

IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control(2024)10.1109/tuffc.2024.3384815

N/A

0DataRank · unranked

3 citations

Michael L. Oelze, Ufuk Soylu

The Art of the Steal: Purloining Deep Learning Models Developed for an Ultrasound Scanner to a Competitor Machine

arXiv (Cornell University)(2024)10.48550/arxiv.2407.03512

N/A

0DataRank · unranked

0 citations

Varun Chandrasekeran, Michael L. Oelze, Ufuk Soylu

Migration of Deep Learning Models Across Ultrasound Scanners

IEEE Transactions on Biomedical Engineering(2025)10.1109/tbme.2025.3564567

N/A

0DataRank · unranked

0 citations

Varun Chandrasekeran, Gregory J. Czarnota, Michael L. Oelze, Ufuk Soylu