Dr. Öğr. Üyesi MEHMET SÜLEYMAN YILDIRIM

Yayın Ağı

Makaleler 9

1. A Vision Transformer-Based Deep Learning Framework for Patient-Level Classification of Acute Pancreatitis and Normal Pancreas Using Computed Tomography

Güneri G., Kır Yazar E., Yazar M. F., Çorbacı K., Yıldırım M. S., Dandıl E.

DIAGNOSTICS , cilt.16, sa.8, ss.1-21, 2026 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

2. Fully Automated Segmentation of Cervical Spinal Cord in Sagittal MR Images Using Swin-Unet Architectures

Polattimur R., Dandıl E., Yıldırım M. S., Şenol U.

Journal of Clinical Medicine , cilt.14, sa.19, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

3. Fractal-Based Architectures with Skip Connections and Attention Mechanism for Improved Segmentation of MS Lesions in Cervical Spinal Cord

Polattimur R., Yıldırım M. S., Dandıl E.

Diagnostics , cilt.15, sa.8, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

4. MaskAppendix: Backbone-Enriched Mask R-CNN Based on Grad-CAM for Automatic Appendix Segmentation

Dandıl E., Tiryaki Baştuğ B., Yıldırım M. S., Çorbacı K., Güneri G.

DIAGNOSTICS , cilt.14, sa.21, ss.1-21, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

5. Fully Automated Detection of the Appendix Using U-Net Deep Learning Architecture in CT Scans

Tiryaki Baştuğ B., Güneri G., Yıldırım M. S., Çorbacı K., Dandil E.

Journal of Clinical Medicine , cilt.13, sa.19, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

6. FractalSpiNet: Fractal-Based U-Net for Automatic Segmentation of Cervical Spinal Cord and MS Lesions in MRI

Polattimur R., Dandıl E., Yıldırım M. S., Uluçay S., Şenol U.

IEEE Access , cilt.12, ss.110955-110976, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

7. Automated liver segmentation using Mask R-CNN on computed tomography scans Bilgisayarli tomografi taramalari üzerinde maskeli bölgesel-evrişimsel sinir aǧlari ile karaciǧerin otomatik bölütlenmesi

Dandıl E., Yıldırım M. S., Selvi A. O., Uzun S.

Journal of the Faculty of Engineering and Architecture of Gazi University , cilt.37, sa.1, ss.29-46, 2022 (SCI-Expanded, Scopus, TRDizin)

8. A Hybrid Method Based on Feature Fusion for Breast Cancer Classification using Histopathological Images

Dandıl E., Selvi A. O., Çevik K. K., Yıldırım M. S., Uzun S.

Avrupa Bilim ve Teknoloji Dergisi , cilt.29, 2021 (TRDizin) Sürdürülebilir Kalkınma

9. Automatic detection of multiple sclerosis lesions using mask R-CNN on magnetic resonance scans

Yıldırım M. S., Dandıl E.

IET Image Processing , cilt.14, sa.16, 2020 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 12

1. Fully Automated Segmentation of Corpus Callosum Using Mask R-CNN on MR Images

Yıldırım M. S., Dandıl E., Boru B.

5th International Conference on Intelligence-Based Transformations of Technology and Business Trends, ICITTBT 2025, Tirana, Arnavutluk, 29 - 30 Mayıs 2025, cilt.2669 CCIS, ss.140-154, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

2. Automatic segmentation of traumatic brain injury lesions on head CT scans using U-Net deep learning architecture

Balaban M., Yıldırım M. S., Yazar M. F., Yazar E. K., Corbaci K., Güneri G., et al.

9th International Symposium on Innovative Approaches in Smart Technologies, ISAS 2025, Gaziantep, Türkiye, 27 - 28 Haziran 2025, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

3. Performance Comparison of Deep Learning Architectures for Skin Cancer Classification

Şahin O., Yıldırım M. S.

8th International Artificial Intelligence and Data Processing Symposium (IDAP), Malatya, Türkiye, 21 - 22 Eylül 2024, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

4. Fully automated axial plane segmentation of cervical spinal cord using U-Net in MR scans

Polattimur R., Dandıl E., Yıldırım M. S., Şenol A. U., Tezel Mersinlioğlu Z. E., Selvi A. O., et al.

7th International Symposium on Innovative Approaches in Smart Technologies, İstanbul, Türkiye, 23 Kasım 2023, ss.1-7, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

5. Automatic Segmentation of COVID-19 Infection on Lung CT Scans using Mask R-CNN

DANDIL E., YILDIRIM M. S.

4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2022, Ankara, Türkiye, 9 - 11 Haziran 2022, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

6. Automated Multiple Sclerosis Lesion Segmentation on MR Images via Mask R-CNN

Yıldırım M. S., Dandıl E.

2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Ankara, Türkiye, 21 Ekim 2021, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

7. A Hybrid Method Based on Feature Fusion for Breast Cancer Classification using Histopathological Images

Dandıl E., Selvi A. O., Çevik K. K., Yıldırım M. S., Uzun S.

5th International Symposium on Multidisciplinary Studies and Innovative Technologies, Ankara, Türkiye, 21 - 23 Ekim 2021, ss.23, (Özet Bildiri) Sürdürülebilir Kalkınma

8. A Mask R-CNN based approach for automatic lung segmentation in computed tomography scans

DANDIL E., YILDIRIM M. S.

2021 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2021, Kocaeli, Türkiye, 25 - 27 Ağustos 2021, (Tam Metin Bildiri)

9. DeepMSWeb: A Web-Based Decision Support System via Deep Learning for Automatic Detection of MS Lesions

YILDIRIM M. S., DANDIL E.

2nd International Informatics and Software Engineering Conference, IISEC 2021, Ankara, Türkiye, 16 - 17 Aralık 2021, (Tam Metin Bildiri)

10. Daha Hızlı Bölgesel-Evrişimsel Sinir Ağları Kullanarak Akciğer Nodüllerinin Tespiti

DANDIL E., YILDIRIM M. S.

2nd International Conference on Data Science and Applications (ICONDATA’19), Balıkesir, Türkiye, 3 - 06 Ekim 2019, ss.126-132, (Tam Metin Bildiri)

11. Web Based Animal Tracker System

YILDIRIM M. S., SELVİ A. O., DANDIL E.

2nd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2018, Kizilcahamam, Ankara, Türkiye, 19 - 21 Ekim 2018, (Tam Metin Bildiri)

12. User Interface for Testing Heuristic Algorithms

YILDIRIM M. S., KARAKUZU C., Yıldırım Ö.

The 15th Workshop of the EURO Working Group EU/ME: The Metaheuristic Community, İstanbul, Türkiye, 24 - 25 Mart 2014, ss.127-131, (Tam Metin Bildiri)

Kitaplar 4

Metrikler

Yayın

Yayın (WoS)

Yayın (Scopus)

Atıf (WoS)

Atıf (Scopus)

H-İndeks (Scopus)

Atıf (Scholar)

H-İndeks (Scholar)

Atıf (TrDizin)

H-İndeks (TrDizin)

Atıf (Diğer Toplam)

Proje

Açık Erişim

BM Sürdürülebilir Kalkınma Amaçları

Dr. Öğr. Üyesi MEHMET SÜLEYMAN YILDIRIM

Yayınlar & Eserler

1. A Vision Transformer-Based Deep Learning Framework for Patient-Level Classification of Acute Pancreatitis and Normal Pancreas Using Computed Tomography

2. Fully Automated Segmentation of Cervical Spinal Cord in Sagittal MR Images Using Swin-Unet Architectures

3. Fractal-Based Architectures with Skip Connections and Attention Mechanism for Improved Segmentation of MS Lesions in Cervical Spinal Cord

4. MaskAppendix: Backbone-Enriched Mask R-CNN Based on Grad-CAM for Automatic Appendix Segmentation

5. Fully Automated Detection of the Appendix Using U-Net Deep Learning Architecture in CT Scans

6. FractalSpiNet: Fractal-Based U-Net for Automatic Segmentation of Cervical Spinal Cord and MS Lesions in MRI

7. Automated liver segmentation using Mask R-CNN on computed tomography scans Bilgisayarli tomografi taramalari üzerinde maskeli bölgesel-evrişimsel sinir aǧlari ile karaciǧerin otomatik bölütlenmesi

8. A Hybrid Method Based on Feature Fusion for Breast Cancer Classification using Histopathological Images

9. Automatic detection of multiple sclerosis lesions using mask R-CNN on magnetic resonance scans

1. Fully Automated Segmentation of Corpus Callosum Using Mask R-CNN on MR Images

2. Automatic segmentation of traumatic brain injury lesions on head CT scans using U-Net deep learning architecture

3. Performance Comparison of Deep Learning Architectures for Skin Cancer Classification

4. Fully automated axial plane segmentation of cervical spinal cord using U-Net in MR scans

5. Automatic Segmentation of COVID-19 Infection on Lung CT Scans using Mask R-CNN

6. Automated Multiple Sclerosis Lesion Segmentation on MR Images via Mask R-CNN

7. A Hybrid Method Based on Feature Fusion for Breast Cancer Classification using Histopathological Images

8. A Mask R-CNN based approach for automatic lung segmentation in computed tomography scans

9. DeepMSWeb: A Web-Based Decision Support System via Deep Learning for Automatic Detection of MS Lesions

10. Daha Hızlı Bölgesel-Evrişimsel Sinir Ağları Kullanarak Akciğer Nodüllerinin Tespiti

11. Web Based Animal Tracker System

12. User Interface for Testing Heuristic Algorithms

1. Fully Automated Segmentation of Corpus Callosum Using Mask R-CNN on MR Images

2. Tiroit Hastalıklarının Derin Öğrenme ile Sınıflandırılması

3. Fully Automated Segmentation of Brain Stroke Lesions Using Mask Region- Based Convolutional Neural Network

4. Detection of Breast Cancer Using Deep Neural Networks with Transfer Learning on Histopathological Images

Yayın

Yayın (WoS)

Yayın (Scopus)

Atıf (WoS)

Atıf (Scopus)

H-İndeks (Scopus)

Atıf (Scholar)

H-İndeks (Scholar)

Atıf (TrDizin)

H-İndeks (TrDizin)

Atıf (Diğer Toplam)

Proje

Açık Erişim