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Nurullah Akkaya

Showing results (11-20 of 14) with videos related to

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Diagnostics (Basel, Switzerland)|July 29, 2025
Deep Learning-Based Detection of Separated Root Canal Instruments in Panoramic Radiographs Using a U<sup>2</sup>-Net ArchitectureNildem İnönü, Umut Aksoy, Dilan Kırmızı, et al.
The Journal of Evidence-Based Dental Practice|February 13, 2025
DEEP LEARNING-DRIVEN SEGMENTATION OF DENTAL IMPLANTS AND PERI-IMPLANTITIS DETECTION IN ORTHOPANTOMOGRAPHS: A NOVEL DIAGNOSTIC TOOLErdoğan Kibcak, Oğuz Buhara, Ali Temelci, et al.
Dentistry Journal|June 25, 2025
Segmentation of Pulp and Pulp Stones with Automatic Deep Learning in Panoramic Radiographs: An Artificial Intelligence StudyMujgan Firincioglulari, Mehmet Boztuna, Omid Mirzaei, et al.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine|May 24, 2023
Deep convolutional neural network algorithm for the automatic segmentation of oral potentially malignant disorders and oral cancersGürkan Ünsal, Akhilanand Chaurasia, Nurullah Akkaya, et al.
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Showing results (11-20 of 14) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 14 results.
Diagnostics (Basel, Switzerland)|July 29, 2025
Deep Learning-Based Detection of Separated Root Canal Instruments in Panoramic Radiographs Using a U<sup>2</sup>-Net ArchitectureNildem İnönü, Umut Aksoy, Dilan Kırmızı, et al.
The Journal of Evidence-Based Dental Practice|February 13, 2025
DEEP LEARNING-DRIVEN SEGMENTATION OF DENTAL IMPLANTS AND PERI-IMPLANTITIS DETECTION IN ORTHOPANTOMOGRAPHS: A NOVEL DIAGNOSTIC TOOLErdoğan Kibcak, Oğuz Buhara, Ali Temelci, et al.
Dentistry Journal|June 25, 2025
Segmentation of Pulp and Pulp Stones with Automatic Deep Learning in Panoramic Radiographs: An Artificial Intelligence StudyMujgan Firincioglulari, Mehmet Boztuna, Omid Mirzaei, et al.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine|May 24, 2023
Deep convolutional neural network algorithm for the automatic segmentation of oral potentially malignant disorders and oral cancersGürkan Ünsal, Akhilanand Chaurasia, Nurullah Akkaya, et al.
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