Yayınlar

Yasal Uyarı: Aşağıdaki makaleler, sayfa sahibi veya başka bir şekilde bunlara meşru erişimi olan kişiler tarafından özel olarak görüntülenmek üzere tasarlanmıştır. Hiçbir bölümü, ilgili yayıncıların önceden izni olmaksızın herhangi bir biçimde veya herhangi bir elektronik, mekanik, fotokopi, kayıt veya başka bir yolla çoğaltılamaz, bir geri alma sisteminde saklanamaz veya yayınlanamaz veya iletilemez. Kuruluşunuzun geçerli bir dergi aboneliği varsa, makalelerin yasal kopyası için DOI bağlantısına tıklayın.

Mel-DEPTHS: a benchmark dataset for epidermis and tumor segmentation for melanoma staging Medical & Biological Engineering & Computing 64(8)

DOI: 10.1007/s11517-026-03656-3

Dermoskopik görüntülerde lezyon bölütleme için iyileştirme önerileri Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 40(1), 251-264.

DOI: 10.17341/gazimmfd.1335533

Elevating healthcare through artificial intelligence: analyzing the abdominal emergencies data set (TR_ABDOMEN_RAD_EMERGENCY) at TEKNOFEST-2022) European Radiology, 34(6), 3588-3597.

DOI: 10.1007/s00330-023-10391-y

Segmentation of Cell Nuclei in Histology Images with Vision Transformer Based U-Net Models In 2024 32nd Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.

DOI: 10.1109/SIU61531.2024.10601151

An enhanced Swin Transformer for soccer player reidentification Scientific Reports, 14(1), 1139.

DOI: 10.1038/s41598-024-51767-4

Turkish Image Captioning with Vision Transformer Based Encoders and Text Decoders In 2024 32nd Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.

DOI: 10.1109/SIU61531.2024.10600738

Semantic and Instance Segmentation of Multi-organ Cell Nuclei Using Deep Learning Based Methods In 2024 32nd Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.

DOI: 10.1109/SIU61531.2024.10600835

Segmentation of Cell Nuclei in Histology Images with Vision Transformer Based U-Net Models In 2024 32nd Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.

DOI: 10.1109/SIU61531.2024.10601151

Datasets and methods of product recognition on grocery shelf images using computer vision and machine learning approaches: An exhaustive literature review Engineering Applications of Artificial Intelligence , 133, 108452.

DOI: 10.1016/j.engappai.2024.108452

A Comparative Analysis of Loss Functions in Segmentation of Medical Images with Highly Imbalanced Class Distribution: An Experimental Study for Deep Nuclei Segmentation In 2024 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) (pp. 1-6). IEEE.

DOI: 10.1109/INISTA62901.2024.10683828.

Epidermis Segmentation in Melanoma Whole Slide Images: A Comparative Analysis of Deep Learning Architectures In 2024 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) (pp. 1-6). IEEE.

DOI: 10.1109/INISTA62901.2024.10683839

ConvNext Mitosis Identification—You Only Look Once (CNMI-YOLO): Domain Adaptive and Robust Mitosis Identification in Digital Pathology Laboratory Investigation, 104(10), 102130.

DOI: 10.1016/j.labinv.2024.102130

Clinically Significant Prostate Cancer Detection and Diagnosis in Bi-Parametric MRI with Deep Learning Models In 2024 9th International Conference on Computer Science and Engineering (UBMK) (pp. 719-724). IEEE.

DOI: 10.1109/UBMK63289.2024.10773458

Segmentation of the Optic Cup In 2024 9th International Conference on Computer Science and Engineering (UBMK) (pp. 714-718). IEEE.

DOI: 10.1109/UBMK63289.2024.10773594

An Ensemble Learning Based Nuclei Segmentation: Using Base Deep Learning Models with Different Loss Functions In 2024 8th International Symposium on Innovative Approaches in Smart Technologies (ISAS) (pp. 1-6). IEEE.

DOI: 10.1109/SIU53274.2021.9477960

Histoloji görüntülerinde hücre çekirdeklerinin daha iyi bölütlenmesi için boyut-bazlı uyarlanabilir örnek budama In 31st Signal Processing and Communications Applications Conference (SIU). IEEE.

DOI: 10.1109/SIU59756.2023.10223880

TRCaptionNet: A novel and accurate deep Turkish image captioning model with vision transformer based image encoders and deep linguistic text decoders Turkish Journal of Electrical Engineering and Computer Sciences, 31(6), 1079-1098.

DOI: 10.55730/1300-0632.4035

Development of a hybrid method for multi-stage end-to-end recognition of grocery products in shelf images Electronics, 12(17), 3640.

DOI: 10.3390/electronics12173640

Nuclei Instance Segmentation in Colon Histology Images with YOLOv7 In International Conference on Advanced Engineering, Technology and Applications. (pp. 335-343).

DOI: 10.1007/978-3-031-50920-9_26

Reidentifying soccer players in broadcast videos using Body Feature Alignment Based on Pose In Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things (pp. 440-444).

DOI: 10.1145/3603781.3603860

Use of deep learning in soccer videos analysis: survey Multimedia Systems, 29(3), 897-915.

DOI: 10.1007/s00530-022-01027-0

Size-based adaptive instance pruning for refined segmentation of cell nuclei in histology images In 2023 31st Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.

DOI: 10.1109/SIU59756.2023.10223880

Development of a hybrid method for multi-stage end-to-end recognition of grocery products in shelf images Electronics, 12(17), 3640.

DOI: 10.3390/electronics12173640

Automatic Turkish image captioning: the impact of deep machine translation In 2023 8th International Conference on Computer Science and Engineering (UBMK) (pp. 414-419). IEEE.

DOI: 10.1109/UBMK59864.2023.10286693

Performance analysis of the YOLO series for object detection: Detection of mitosis cells in histopathology images In 2023 Medical Technologies Congress (TIPTEKNO) (pp. 1-4). IEEE.

DOI: 10.1109/TIPTEKNO59875.2023.10359203

Evaluation of the Prediction Algorithms for the Diagnosis of Hepatic Dysfunction Nevşehir Bilim ve Teknoloji Dergisi, 12(2), 1-13.

DOI: 10.17100/nevbiltek.1256873

Artificial intelligence in healthcare competition (TEKNOFEST-2021): stroke data set The Eurasian journal of medicine, 54(3), 248.

DOI: 10.5152/eurasianjmed.2022.22096

Nuclei Segmentation in Colon Histology Images by Using the Deep CNNs: A U-Net Based Multi-class Segmentation Analysis 2022 Medical Technologies Congress (TIPTEKNO) pp 1-4, 31 October-02 November, 2022, Antalya, Turkey

DOI:

A turnaround control system to automatically detect and monitor the time stamps of ground service actions in airports: A deep learning and computer vision based approach , Engineering Applications of Artificial Intelligence, Vol 114, pp 105032

DOI: 10.1016/j.engappai.2022.105032

Fast and Accurate Registration of the Proximal Femurs in Bilateral Hip Joint Images by Using the Random Sub-Sample Points , IRBM, 2017 , Vol. 43, No:2, pp 130-141

DOI: 10.1016/j.irbm.2021.04.001

Image based quantification of the proximal femur shape deformities in 3D by using the contralateral healthy shape structure: A preliminary study , Biomedical Signal Processing and Control, Vol. 71, pp 103079

DOI: 10.1016/j.bspc.2021.103079

A novel approach for computerized quantitative image analysis of proximal femur bone shape deformities based on the hip joint symmetry , Memiş, A., Varlı, S., Bilgili, F., Vol. 115, pp 102057

DOI: 10.1016/j.artmed.2021.102057

Automatic Classification of the Waldenstrom Stages of Legg-Calve-Perthes Disease from the 2D Total Proximal Femur Shape Deformity , International Conference on INnovations in Intelligent SysTems and Applications (INISTA), pp 1-6, August 25-27, 2021, Kocaeli, Turkey.

DOI: 10.1109/INISTA52262.2021.9548564

Random Point Sub-sampling in Rigid Registration of 2D Proximal Femur Surfaces , 29th Signal Processing and Communications Applications Conference (SIU), pp 1-4, June 9-11, 2021, İstanbul, Turkey

DOI: 10.1109/SIU53274.2021.9477960

Knee Meniscus Segmentation and Tear Detection from MRI: A Review ,Current Medical Imaging, ,Vol 16, No:1, pp 2-15,

DOI:

Mel-DEPTHS: a benchmark dataset for epidermis and tumor segmentation for melanoma staging Medical & Biological Engineering & Computing 64(8)

DOI: 10.1007/s11517-026-03656-3

Artificial intelligence in healthcare competition (TEKNOFEST-2021): stroke data set The Eurasian journal of medicine, 54(3), 248.

DOI: 10.5152/eurasianjmed.2022.22096

Elevating healthcare through artificial intelligence: analyzing the abdominal emergencies data set (TR_ABDOMEN_RAD_EMERGENCY) at TEKNOFEST-2022) European Radiology, 34(6), 3588-3597.

DOI: 10.1007/s00330-023-10391-y

Histoloji görüntülerinde hücre çekirdeklerinin daha iyi bölütlenmesi için boyut-bazlı uyarlanabilir örnek budama In 31st Signal Processing and Communications Applications Conference (SIU). IEEE.

DOI: 10.1109/SIU59756.2023.10223880

TRCaptionNet: A novel and accurate deep Turkish image captioning model with vision transformer based image encoders and deep linguistic text decoders Turkish Journal of Electrical Engineering and Computer Sciences, 31(6), 1079-1098.

DOI: 10.55730/1300-0632.4035

Development of a hybrid method for multi-stage end-to-end recognition of grocery products in shelf images Electronics, 12(17), 3640.

DOI: 10.3390/electronics12173640

Nuclei Instance Segmentation in Colon Histology Images with YOLOv7 In International Conference on Advanced Engineering, Technology and Applications. (pp. 335-343).

DOI: 10.1007/978-3-031-50920-9_26

Reidentifying soccer players in broadcast videos using Body Feature Alignment Based on Pose In Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things (pp. 440-444).

DOI: 10.1145/3603781.3603860

Use of deep learning in soccer videos analysis: survey Multimedia Systems, 29(3), 897-915.

DOI: 10.1007/s00530-022-01027-0

Size-based adaptive instance pruning for refined segmentation of cell nuclei in histology images In 2023 31st Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.

DOI: 10.1109/SIU59756.2023.10223880

Development of a hybrid method for multi-stage end-to-end recognition of grocery products in shelf images Electronics, 12(17), 3640.

DOI: 10.3390/electronics12173640

Automatic Turkish image captioning: the impact of deep machine translation In 2023 8th International Conference on Computer Science and Engineering (UBMK) (pp. 414-419). IEEE.

DOI: 10.1109/UBMK59864.2023.10286693

Performance analysis of the YOLO series for object detection: Detection of mitosis cells in histopathology images In 2023 Medical Technologies Congress (TIPTEKNO) (pp. 1-4). IEEE.

DOI: 10.1109/TIPTEKNO59875.2023.10359203

Evaluation of the Prediction Algorithms for the Diagnosis of Hepatic Dysfunction Nevşehir Bilim ve Teknoloji Dergisi, 12(2), 1-13.

DOI: 10.17100/nevbiltek.1256873

Segmentation of Cell Nuclei in Histology Images with Vision Transformer Based U-Net Models In 2024 32nd Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.

DOI: 10.1109/SIU61531.2024.10601151

An enhanced Swin Transformer for soccer player reidentification Scientific Reports, 14(1), 1139.

DOI: 10.1038/s41598-024-51767-4

Turkish Image Captioning with Vision Transformer Based Encoders and Text Decoders In 2024 32nd Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.

DOI: 10.1109/SIU61531.2024.10600738

Semantic and Instance Segmentation of Multi-organ Cell Nuclei Using Deep Learning Based Methods In 2024 32nd Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.

DOI: 10.1109/SIU61531.2024.10600835

Segmentation of Cell Nuclei in Histology Images with Vision Transformer Based U-Net Models In 2024 32nd Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.

DOI: 10.1109/SIU61531.2024.10601151

Dermoskopik görüntülerde lezyon bölütleme için iyileştirme önerileri Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 40(1), 251-264.

DOI: 10.17341/gazimmfd.1335533

Datasets and methods of product recognition on grocery shelf images using computer vision and machine learning approaches: An exhaustive literature review Engineering Applications of Artificial Intelligence , 133, 108452.

DOI: 10.1016/j.engappai.2024.108452

A Comparative Analysis of Loss Functions in Segmentation of Medical Images with Highly Imbalanced Class Distribution: An Experimental Study for Deep Nuclei Segmentation In 2024 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) (pp. 1-6). IEEE.

DOI: 10.1109/INISTA62901.2024.10683828.

Epidermis Segmentation in Melanoma Whole Slide Images: A Comparative Analysis of Deep Learning Architectures In 2024 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) (pp. 1-6). IEEE.

DOI: 10.1109/INISTA62901.2024.10683839

ConvNext Mitosis Identification—You Only Look Once (CNMI-YOLO): Domain Adaptive and Robust Mitosis Identification in Digital Pathology Laboratory Investigation, 104(10), 102130.

DOI: 10.1016/j.labinv.2024.102130

Clinically Significant Prostate Cancer Detection and Diagnosis in Bi-Parametric MRI with Deep Learning Models In 2024 9th International Conference on Computer Science and Engineering (UBMK) (pp. 719-724). IEEE.

DOI: 10.1109/UBMK63289.2024.10773458

Segmentation of the Optic Cup In 2024 9th International Conference on Computer Science and Engineering (UBMK) (pp. 714-718). IEEE.

DOI: 10.1109/UBMK63289.2024.10773594

An Ensemble Learning Based Nuclei Segmentation: Using Base Deep Learning Models with Different Loss Functions In 2024 8th International Symposium on Innovative Approaches in Smart Technologies (ISAS) (pp. 1-6). IEEE.

DOI: 10.1109/SIU53274.2021.9477960

Knee Meniscus Segmentation and Tear Detection from MRI: A Review ,Current Medical Imaging, ,Vol 16, No:1, pp 2-15,

DOI:

Nuclei Segmentation in Colon Histology Images by Using the Deep CNNs: A U-Net Based Multi-class Segmentation Analysis 2022 Medical Technologies Congress (TIPTEKNO) pp 1-4, 31 October-02 November, 2022, Antalya, Turkey

DOI:

A turnaround control system to automatically detect and monitor the time stamps of ground service actions in airports: A deep learning and computer vision based approach , Engineering Applications of Artificial Intelligence, Vol 114, pp 105032

DOI: 10.1016/j.engappai.2022.105032

Fast and Accurate Registration of the Proximal Femurs in Bilateral Hip Joint Images by Using the Random Sub-Sample Points , IRBM, 2017 , Vol. 43, No:2, pp 130-141

DOI: 10.1016/j.irbm.2021.04.001

Image based quantification of the proximal femur shape deformities in 3D by using the contralateral healthy shape structure: A preliminary study , Biomedical Signal Processing and Control, Vol. 71, pp 103079

DOI: 10.1016/j.bspc.2021.103079

A novel approach for computerized quantitative image analysis of proximal femur bone shape deformities based on the hip joint symmetry , Memiş, A., Varlı, S., Bilgili, F., Vol. 115, pp 102057

DOI: 10.1016/j.artmed.2021.102057

Automatic Classification of the Waldenstrom Stages of Legg-Calve-Perthes Disease from the 2D Total Proximal Femur Shape Deformity , International Conference on INnovations in Intelligent SysTems and Applications (INISTA), pp 1-6, August 25-27, 2021, Kocaeli, Turkey.

DOI: 10.1109/INISTA52262.2021.9548564

Random Point Sub-sampling in Rigid Registration of 2D Proximal Femur Surfaces , 29th Signal Processing and Communications Applications Conference (SIU), pp 1-4, June 9-11, 2021, İstanbul, Turkey

DOI: 10.1109/SIU53274.2021.9477960