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Kutsev Bengisu Ozyoruk

Showing results (1-10 of 11) with videos related to

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JMIR Cardio|October 17, 2025
Serial 12-Lead Electrocardiogram-Based Deep-Learning Model for Hospital Admission Prediction in Emergency Department Cardiac Presentations: Retrospective Cohort StudyArda Altintepe, Kutsev Bengisu Ozyoruk
Turk Patoloji Dergisi|March 23, 2023
Whole Slide Images in Artificial Intelligence Applications in Digital Pathology: Challenges and PitfallsKayhan Basak, Kutsev Bengisu Ozyoruk, Derya Demir
Diagnostic and Interventional Radiology (Ankara, Turkey)|October 2, 2024
The future of multimodal artificial intelligence models for integrating imaging and clinical metadata: a narrative reviewBenjamin D Simon, Kutsev Bengisu Ozyoruk, David G Gelikman, et al.
Medical Image Analysis|September 12, 2024
A robust image segmentation and synthesis pipeline for histopathologyMuhammad Jehanzaib, Yasin Almalioglu, Kutsev Bengisu Ozyoruk, et al.
Medical Image Analysis|February 20, 2021
VR-Caps: A Virtual Environment for Capsule EndoscopyKağan İncetan, Ibrahim Omer Celik, Abdulhamid Obeid, et al.
IEEE Transactions on Medical Imaging|August 16, 2020
EndoL2H: Deep Super-Resolution for Capsule EndoscopyYasin Almalioglu, Kutsev Bengisu Ozyoruk, Abdulkadir Gokce, et al.
Journal of Personalized Medicine|October 25, 2024
AI-ADC: Channel and Spatial Attention-Based Contrastive Learning to Generate ADC Maps from T2W MRI for Prostate Cancer DetectionKutsev Bengisu Ozyoruk, Stephanie A Harmon, Nathan S Lay, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|November 22, 2024
The Future of Surgical Diagnostics: Artificial Intelligence-Enhanced Detection of Ganglion Cells for Hirschsprung DiseaseDerya Demir, Kutsev Bengisu Ozyoruk, Yasin Durusoy, et al.
Medical Image Analysis|April 30, 2021
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videosKutsev Bengisu Ozyoruk, Guliz Irem Gokceler, Taylor L Bobrow, et al.
Nature Biomedical Engineering|December 23, 2022
A deep-learning model for transforming the style of tissue images from cryosectioned to formalin-fixed and paraffin-embeddedKutsev Bengisu Ozyoruk, Sermet Can, Berkan Darbaz, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
JMIR Cardio|October 17, 2025
Serial 12-Lead Electrocardiogram-Based Deep-Learning Model for Hospital Admission Prediction in Emergency Department Cardiac Presentations: Retrospective Cohort StudyArda Altintepe, Kutsev Bengisu Ozyoruk
Turk Patoloji Dergisi|March 23, 2023
Whole Slide Images in Artificial Intelligence Applications in Digital Pathology: Challenges and PitfallsKayhan Basak, Kutsev Bengisu Ozyoruk, Derya Demir
Diagnostic and Interventional Radiology (Ankara, Turkey)|October 2, 2024
The future of multimodal artificial intelligence models for integrating imaging and clinical metadata: a narrative reviewBenjamin D Simon, Kutsev Bengisu Ozyoruk, David G Gelikman, et al.
Medical Image Analysis|September 12, 2024
A robust image segmentation and synthesis pipeline for histopathologyMuhammad Jehanzaib, Yasin Almalioglu, Kutsev Bengisu Ozyoruk, et al.
Medical Image Analysis|February 20, 2021
VR-Caps: A Virtual Environment for Capsule EndoscopyKağan İncetan, Ibrahim Omer Celik, Abdulhamid Obeid, et al.
IEEE Transactions on Medical Imaging|August 16, 2020
EndoL2H: Deep Super-Resolution for Capsule EndoscopyYasin Almalioglu, Kutsev Bengisu Ozyoruk, Abdulkadir Gokce, et al.
Journal of Personalized Medicine|October 25, 2024
AI-ADC: Channel and Spatial Attention-Based Contrastive Learning to Generate ADC Maps from T2W MRI for Prostate Cancer DetectionKutsev Bengisu Ozyoruk, Stephanie A Harmon, Nathan S Lay, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|November 22, 2024
The Future of Surgical Diagnostics: Artificial Intelligence-Enhanced Detection of Ganglion Cells for Hirschsprung DiseaseDerya Demir, Kutsev Bengisu Ozyoruk, Yasin Durusoy, et al.
Medical Image Analysis|April 30, 2021
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videosKutsev Bengisu Ozyoruk, Guliz Irem Gokceler, Taylor L Bobrow, et al.
Nature Biomedical Engineering|December 23, 2022
A deep-learning model for transforming the style of tissue images from cryosectioned to formalin-fixed and paraffin-embeddedKutsev Bengisu Ozyoruk, Sermet Can, Berkan Darbaz, et al.
Pageof 2