Výsledky vyhledávání - "Dilek M. Yalcinkaya, MS"

Akademický článek

Improved robustness for deep learning-based segmentation of multi-center myocardial perfusion cardiovascular MRI datasets using data-adaptive uncertainty–guided space-time analysis

Autor: Dilek M. Yalcinkaya, MS, Khalid Youssef, PhD, Bobak Heydari, MD, Janet Wei, MD, C. Noel Bairey Merz, MD, Robert Judd, PhD, Rohan Dharmakumar, PhD, Orlando P. Simonetti, PhD, Jonathan W. Weinsaft, MD, Subha V. Raman, MD, Behzad Sharif, PhD

Publikováno v: Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss 2, Pp 101082- (2024)

ABSTRACT: Background: Fully automatic analysis of myocardial perfusion cardiovascular magnetic resonance imaging datasets enables rapid and objective reporting of stress/rest studies in patients with suspected ischemic heart disease. Developing deep

Externí odkaz: https://doaj.org/article/1c93eae6ce834c5a9a073312be875c24

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Akademický článek

Automatic Segmentation of Multi-center Multi-field-strength Perfusion CMR Datasets with Deep Learning-based Uncertainty-guided Analysis: Preliminary Findings Using the SCMR Registry

Autor: Dilek M. Yalcinkaya, MSc, Zhuoan Li, BEng, Khalid Youssef, PhD, Luis Zamudio Rivero, MSc, Venkateshwar Polsani, MD, Michael Elliott, MD, Rohan Dharmakumar, PhD, Robert Judd, PhD, Dipan Shah, MD, Orlando Simonetti, PhD, Subha V Raman, Behzad Sharif, PhD

Publikováno v: Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss , Pp 100964- (2024)

Externí odkaz: https://doaj.org/article/cd00fb9dacfe40ec8a22e4d809888fe6

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Akademický článek

Clinician-in-the-loop Analysis of FBee-breathing Stress Perfusion CMR Datasets with Dynamic Quality Control: Preliminary Evaluation Using the SCMR Registry

Autor: Dilek M. Yalcinkaya, MSc, Khalid Youssef, PhD, Zhuoan Li, BEng, Bobak Heydari, MD, Rohan Dharmakumar, PhD, Robert Judd, PhD, Orlando Simonetti, PhD, Subha V Raman, Behzad Sharif, PhD

Publikováno v: Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss , Pp 100990- (2024)

Externí odkaz: https://doaj.org/article/71248dce0efe4e6894ed4d2373bb295c

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Akademický článek

Retrospective Phase-map Synthesis for CMR Datasets FBom Magnitude-only DICOM Images Enabled by A.I. Generative Models to Create Large Training Datasets for Deep Learning-based Image Reconstruction

Autor: M. Berk Sahin, BSc, Dilek M. Yalcinkaya, MSc, Rohan Dharmakumar, PhD, Abolfazl Hashemi, PhD, MSc, BSc, Behzad Sharif, PhD

Publikováno v: Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss , Pp 100987- (2024)

Externí odkaz: https://doaj.org/article/e039a4a58f054c9a8e5c6be730976421

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