( en | de | ru )

 

Disambiguation of "Yildirim, Suleyman"

Author of the publication

copydeleteadd this publication to your clipboard
Comparative Genomics of Gardnerella vaginalis Strains Reveals Substantial Differences in Metabolic and Virulence Potential.

, , , , , , , , , , , , , , , , , and . PloS one, 5 (8): e12411+ (Aug 26, 2010)
DOI: 10.1371/journal.pone.0012411

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Süleyman Sencer

Süleyman Dündar

Süleyman Kocman

Süleyman Kolcu

Süleyman Karadal

 

Other publications of authors with the same name

A belief-desire-intention agent architecture for partner selection in peer-to-peer live video streaming applications., , and . Expert Syst. J. Knowl. Eng., 32 (3): 327-343 (2015)Iterative Kernel Reconstruction for Deep Learning-Based Blind Image Super-Resolution., , and . ICIP, page 3251-3255. IEEE, (2022)Comparative Genomics of Gardnerella vaginalis Strains Reveals Substantial Differences in Metabolic and Virulence Potential., , , , , , , , , and 8 other author(s). PloS one, 5 (8): e12411+ (Aug 26, 2010)Automatic Selection of Compiler Optimizations by Machine Learning., , , and . SIU, page 1-4. IEEE, (2023)Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation., , and . CoRR, (2024)A Mask R-CNN based Approach for Automatic Lung Segmentation in Computed Tomography Scans., and . INISTA, page 1-6. IEEE, (2021)MR taramaları üzerinde derin öğrenme modelleri kullanılarak multipl skleroz lezyonlarının otomatik tespiti ve değişiminin takibi (Follow-up and automatic detection of multiple sclerosis lesions using deep learning models on MR scans). Bilecik Şeyh Edebali University, Turkey, (2022)FractalSpiNet: Fractal-Based U-Net for Automatic Segmentation of Cervical Spinal Cord and MS Lesions in MRI., , , , and . IEEE Access, (2024)