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  1. Article ; Online: Cardiac Calcified Amorphous Tumor Presenting with Thromboembolism in a Patient Under Apixaban Treatment

    Tufan ÇINAR / Vedat ÇİÇEK / Ahmet Lütfullah ORHAN

    Bezmiâlem Science, Vol 10, Iss 1, Pp 104-

    2022  Volume 105

    Keywords calcified amorphous tumor ; thromboembolism ; apixaban ; Medicine (General) ; R5-920
    Language English
    Publishing date 2022-02-01T00:00:00Z
    Publisher Galenos Publishing House
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Selecting the best optimizers for deep learning-based medical image segmentation.

    Mortazi, Aliasghar / Cicek, Vedat / Keles, Elif / Bagci, Ulas

    Frontiers in radiology

    2023  Volume 3, Page(s) 1175473

    Abstract: Purpose: The goal of this work is to explore the best optimizers for deep learning in the context of medical image segmentation and to provide guidance on how to design segmentation networks with effective optimization strategies.: Approach: Most ... ...

    Abstract Purpose: The goal of this work is to explore the best optimizers for deep learning in the context of medical image segmentation and to provide guidance on how to design segmentation networks with effective optimization strategies.
    Approach: Most successful deep learning networks are trained using two types of stochastic gradient descent (SGD) algorithms: adaptive learning and accelerated schemes. Adaptive learning helps with fast convergence by starting with a larger learning rate (LR) and gradually decreasing it. Momentum optimizers are particularly effective at quickly optimizing neural networks within the accelerated schemes category. By revealing the potential interplay between these two types of algorithms [LR and momentum optimizers or momentum rate (MR) in short], in this article, we explore the two variants of SGD algorithms in a single setting. We suggest using cyclic learning as the base optimizer and integrating optimal values of learning rate and momentum rate. The new optimization function proposed in this work is based on the Nesterov accelerated gradient optimizer, which is more efficient computationally and has better generalization capabilities compared to other adaptive optimizers.
    Results: We investigated the relationship of LR and MR under an important problem of medical image segmentation of cardiac structures from MRI and CT scans. We conducted experiments using the cardiac imaging dataset from the ACDC challenge of MICCAI 2017, and four different architectures were shown to be successful for cardiac image segmentation problems. Our comprehensive evaluations demonstrated that the proposed optimizer achieved better results (over a 2% improvement in the dice metric) than other optimizers in the deep learning literature with similar or lower computational cost in both single and multi-object segmentation settings.
    Conclusions: We hypothesized that the combination of accelerated and adaptive optimization methods can have a drastic effect in medical image segmentation performances. To this end, we proposed a new cyclic optimization method (
    Language English
    Publishing date 2023-09-21
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2673-8740
    ISSN (online) 2673-8740
    DOI 10.3389/fradi.2023.1175473
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  3. Article ; Online: The effects of SGLT2 inhibitors on right ventricle functions in heart failure patients: Update meta-analysis of the current literature.

    Cinar, Tufan / Saylik, Faysal / Cicek, Vedat / Pay, Levent / Khachatryan, Aleksan / Alejandro, Joel / Erdem, Almina / Hayiroglu, Mert Ilker

    Kardiologia polska

    2024  

    Language English
    Publishing date 2024-04-19
    Publishing country Poland
    Document type Journal Article
    ZDB-ID 411492-9
    ISSN 1897-4279 ; 0022-9032
    ISSN (online) 1897-4279
    ISSN 0022-9032
    DOI 10.33963/v.phj.100199
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    Zs.MO 474: Show issues

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  4. Article ; Online: Comment on: "Comparison of C-reactive protein and C-reactive protein-to-albumin ratio in predicting mortality among geriatric coronavirus disease 2019 patients".

    Çınar, Tufan / Hayıroğlu, Mert İlker / Çiçek, Vedat / Selçuk, Murat

    Revista da Associacao Medica Brasileira (1992)

    2022  Volume 68, Issue 7, Page(s) 975–976

    MeSH term(s) Aged ; Biomarkers ; C-Reactive Protein/analysis ; COVID-19 ; Humans ; Prognosis ; Retrospective Studies ; Serum Albumin
    Chemical Substances Biomarkers ; Serum Albumin ; C-Reactive Protein (9007-41-4)
    Language English
    Publishing date 2022-08-10
    Publishing country Brazil
    Document type Journal Article ; Comment
    ZDB-ID 731969-1
    ISSN 1806-9282 ; 0104-4230 ; 0004-5241 ; 0102-843X
    ISSN (online) 1806-9282
    ISSN 0104-4230 ; 0004-5241 ; 0102-843X
    DOI 10.1590/1806-9282.20220386
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  5. Article ; Online: Comparison of outcomes between single long stent and overlapping stents: a meta-analysis of the literature.

    Şaylık, Faysal / Çınar, Tufan / Selçuk, Murat / Çiçek, Vedat / Hayıroğlu, Mert Ilker / Orhan, Ahmet Lütfullah

    Herz

    2023  Volume 48, Issue 5, Page(s) 376–383

    Abstract: Objectives: There is no consensus on whether to treat diffuse coronary artery lesions with a single long stent (SLS) or by overlapping two or more stents (OLS). The goal of this review was to compare the outcomes of these two approaches through a meta- ... ...

    Title translation Vergleich der Ergebnisse zwischen langem Einzelstent und überlappenden Stents: Metaanalyse der Literatur.
    Abstract Objectives: There is no consensus on whether to treat diffuse coronary artery lesions with a single long stent (SLS) or by overlapping two or more stents (OLS). The goal of this review was to compare the outcomes of these two approaches through a meta-analysis of the literature.
    Methods: We searched for relevant studies in MEDLINE, Scopus, EMBASE, Google Scholar, and the Cochrane Library. Our meta-analysis included 12 studies (n = 6414) that reported outcomes during the follow-up period.
    Results: Individuals who received OLS had a greater risk of cardiac mortality and target lesion revascularization (TLR) than those who received SLS (RR: 1.51, CI: 1.03-2.21, p = 0.03, I
    Conclusion: In the first meta-analysis of mainly observational data comparing OLS vs. SLS for long coronary lesions, OLS had higher rates of cardiac mortality and TLR as well as longer fluoroscopy times compared to SLS.
    MeSH term(s) Humans ; Coronary Artery Disease/therapy ; Percutaneous Coronary Intervention ; Drug-Eluting Stents ; Treatment Outcome ; Stents
    Language English
    Publishing date 2023-01-11
    Publishing country Germany
    Document type Meta-Analysis ; Journal Article ; Review
    ZDB-ID 8262-4
    ISSN 1615-6692 ; 0340-9937 ; 0946-1299
    ISSN (online) 1615-6692
    ISSN 0340-9937 ; 0946-1299
    DOI 10.1007/s00059-022-05152-4
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    Zs.MO 426: Show issues

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  6. Article: Evaluation of pan-Immuno-Inflammation value for In-hospital mortality in acute pulmonary embolism patients.

    Çiçek, Vedat / Yavuz, Samet / Şaylık, Faysal / Taşlıçukur, Şölen / Öz, Ahmet / Babaoğlu, Mert / Erdem, Almina / Yılmaz, İrem / Bagci, Ulas / Cinar, Tufan

    Revista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion

    2024  

    Abstract: Background: Pan-immuno-inflammation value (PIV) is a new and comprehensive index that reflects both the immune response and systemic inflammation in the body.: Objective: The aim of this study was to investigate the prognostic relevance of PIV in ... ...

    Abstract Background: Pan-immuno-inflammation value (PIV) is a new and comprehensive index that reflects both the immune response and systemic inflammation in the body.
    Objective: The aim of this study was to investigate the prognostic relevance of PIV in predicting in-hospital mortality in acute pulmonary embolism (PE) patients and to compare it with the well-known risk scoring system, PE severity index (PESI), which is commonly used for a short-term mortality prediction in such patients.
    Methods: In total, 373 acute PE patients diagnosed with contrast-enhanced computed tomography were included in the study. Detailed cardiac evaluation of each patient was performed and PESI and PIV were calculated.
    Results: In total, 60 patients died during their hospital stay. The multivariable logistic regression analysis revealed that baseline heart rate, N-terminal pro-B-type natriuretic peptide, lactate dehydrogenase, PIV, and PESI were independent risk factors for in-hospital mortality in acute PE patients. When comparing with PESI, PIV was non-inferior in terms of predicting the survival status in patients with acute PE.
    Conclusion: In our study, we found that the PIV was statistically significant in predicting in-hospital mortality in acute PE patients and was non-inferior to the PESI.
    Language English
    Publishing date 2024-02-15
    Publishing country Mexico
    Document type Journal Article
    ZDB-ID 138348-6
    ISSN 0034-8376
    ISSN 0034-8376
    DOI 10.24875/RIC.23000290
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    Zs.A 288: Show issues Location:
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  7. Article ; Online: Kurumsal Kimlik Oluşturmada Kurumsal İmaj Algısının Rolü

    Berat ÇİÇEK / Vedat ALMALI

    Yönetim ve Ekonomi, Vol 27, Iss 2, Pp 219-

    Örgüt Kültürünün Aracılık Etkisi(Role of Corporate Image Perception in Corporate Identity)

    2020  Volume 238

    Abstract: In this study, it is aimed to determine the importance of corporate image perception and the mediating effect of organizational culture on the relationship between corporate identity and corporate image. To this end, quantitative research has been ... ...

    Abstract In this study, it is aimed to determine the importance of corporate image perception and the mediating effect of organizational culture on the relationship between corporate identity and corporate image. To this end, quantitative research has been carried out in order to reveal the perceptions of the internal stakeholders of higher education institutions on corporate image, corporate identity, and organizational culture. A questionnaire was applied to the internal stakeholders of Muş Alparslan University to collect data. The obtained data were analyzed with the research model designed according to structural equation modeling. According to the findings of the analysis, it is concluded that the corporate image perception has an essential place in the construction of the corporate identity and the organizational culture mediates this relationship.
    Keywords corporate identity ; corporate image ; organizational culture ; higher education institutions ; structural equation model ; Management. Industrial management ; HD28-70 ; Economics as a science ; HB71-74
    Subject code 650
    Language German
    Publishing date 2020-08-01T00:00:00Z
    Publisher Celal Bayar University
    Document type Article ; Online
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  8. Article ; Online: Letter: The Prognostic Value of Admission Hyperglycemia in ST Elevation Myocardial Infarction Patients.

    Çınar, Tufan / Hayıroğlu, Mert I / Çiçek, Vedat / Selçuk, Murat / Orhan, Ahmet L

    Angiology

    2022  Volume 73, Issue 9, Page(s) 891–892

    MeSH term(s) Humans ; Hyperglycemia/complications ; Hyperglycemia/diagnosis ; Percutaneous Coronary Intervention ; Prognosis ; ST Elevation Myocardial Infarction/complications ; ST Elevation Myocardial Infarction/diagnosis ; ST Elevation Myocardial Infarction/therapy
    Language English
    Publishing date 2022-02-26
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 80040-5
    ISSN 1940-1574 ; 0003-3197
    ISSN (online) 1940-1574
    ISSN 0003-3197
    DOI 10.1177/00033197221078055
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  9. Article ; Online: A case of mitral regurgitation causing patent foramen ovale behaving like an atrial septal defect: A rare finding in an adult patient.

    Çınar, Tufan / Çiçek, Vedat / Hayıroğlu, Mert / Keser, Nurgül / Uzun, Mehmet

    Turk Kardiyoloji Dernegi arsivi : Turk Kardiyoloji Derneginin yayin organidir

    2021  Volume 49, Issue 5, Page(s) 425

    MeSH term(s) Chordae Tendineae/diagnostic imaging ; Chordae Tendineae/injuries ; Echocardiography ; Female ; Foramen Ovale, Patent/complications ; Foramen Ovale, Patent/diagnostic imaging ; Foramen Ovale, Patent/physiopathology ; Heart Septal Defects, Atrial/diagnostic imaging ; Heart Septal Defects, Atrial/physiopathology ; Humans ; Middle Aged ; Mitral Valve Insufficiency/diagnostic imaging ; Mitral Valve Insufficiency/etiology ; Mitral Valve Prolapse/complications ; Mitral Valve Prolapse/diagnostic imaging ; Rupture/diagnostic imaging
    Language English
    Publishing date 2021-07-25
    Publishing country Turkey
    Document type Case Reports ; Video-Audio Media
    ZDB-ID 1215217-1
    ISSN 1308-4488 ; 1016-5169
    ISSN (online) 1308-4488
    ISSN 1016-5169
    DOI 10.5543/tkda.2021.28178
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  10. Book ; Online: Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation

    Mortazi, Aliasghar / Cicek, Vedat / Keles, Elif / Bagci, Ulas

    2023  

    Abstract: The goal of this work is to identify the best optimizers for deep learning in the context of cardiac image segmentation and to provide guidance on how to design segmentation networks with effective optimization strategies. Adaptive learning helps with ... ...

    Abstract The goal of this work is to identify the best optimizers for deep learning in the context of cardiac image segmentation and to provide guidance on how to design segmentation networks with effective optimization strategies. Adaptive learning helps with fast convergence by starting with a larger learning rate (LR) and gradually decreasing it. Momentum optimizers are particularly effective at quickly optimizing neural networks within the accelerated schemes category. By revealing the potential interplay between these two types of algorithms (LR and momentum optimizers or momentum rate (MR) in short), in this article, we explore the two variants of SGD algorithms in a single setting. We suggest using cyclic learning as the base optimizer and integrating optimal values of learning rate and momentum rate. We investigated the relationship of LR and MR under an important problem of medical image segmentation of cardiac structures from MRI and CT scans. We conducted experiments using the cardiac imaging dataset from the ACDC challenge of MICCAI 2017, and four different architectures shown to be successful for cardiac image segmentation problems. Our comprehensive evaluations demonstrated that the proposed optimizer achieved better results (over a 2\% improvement in the dice metric) than other optimizers in deep learning literature with similar or lower computational cost in both single and multi-object segmentation settings. We hypothesized that combination of accelerated and adaptive optimization methods can have a drastic effect in medical image segmentation performances. To this end, we proposed a new cyclic optimization method (\textit{CLMR}) to address the efficiency and accuracy problems in deep learning based medical image segmentation. The proposed strategy yielded better generalization in comparison to adaptive optimizers.
    Keywords Electrical Engineering and Systems Science - Image and Video Processing ; Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning
    Subject code 006
    Publishing date 2023-02-04
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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