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Permanent URI for this collectionhttps://hdl.handle.net/11443/932

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Author: search.filters.author.Bayramoglu, Alp

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    KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
    (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020-01-01) Erdogan, Koray; Acun, Onur; Kucukmanisa, Ayhan; Duvar, Ramazan; Bayramoglu, Alp; Urhan, Oguzhan
    Robots and artificial intelligence technologies have become very important in the health applications as in many other fields. The proposed system in this work aims to provide detailed analysis of pre-op and post-op stage of FUE hair transplant procedures to enable surgeon to plan and assess success of the operations. In order to achieve this target, a robotic and vision-based system imaging and AI based analysis approach is developed. The proposed system performs analyses in three main stages: initialization, scanning, and analysis. At the initialization stage, 3D model of the patient's head generated at first by locating a depth camera in various positions around the patient by the help of a collaborative robot. At the second stage, where high resolution image capturing is performed in a loop with the usage of the 3D model, raw images are processed by a deep learning based object detection algorithm where follicles in pre-op and extracted follicle positions (i.e. holes) and placed grafts in post-op is detected. At the last stage, thickness of each hair is computed at the detected hair follicle positions using another deep learning-based segmentation approach. These data are combined to obtain objective evaluation criteria to generate patient report. Experimental results show that the developed system can be used successfully in hair transplantation operations.
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    Soft spot: the important zone at the standard posterior portal of shoulder arthroscopy
    (TUBITAK SCIENTIFIC \& TECHNICAL RESEARCH COUNCIL TURKEY, 2018-01-01) Ercakmak, Burcu; Gunenc Beser, Ceren; Ozsoy, M. Hakan; Demiryurek, M. Deniz; Bayramoglu, Alp; Hayran, K. Mutlu
    Background/aim: The localization of the standard posterior portal of shoulder arthroscopy and landmarks mentioned in the literature are unclear. The purpose of this prospective cadaveric study was to determine the localization of the standard posterior portal and its distance to the neural structures. Materials and methods: One fresh frozen and 10 formalin-fixed adult cadaveric shoulders were dissected. In the beach chair position, a 5-mm trocar was placed anteroposteriorly from the superior edge of the subscapularis muscle, superior to the tip of the coracoid process and tangent to the glenoid. The relevant distances of the posterior exit point were measured. Results: In all specimens, the exit point was a triangular fibrous area, between the posterior and lateral parts of the deltoid. Medial and inferior distances of the trocar to the posterolateral tip of the acromion were 1.88 +/- 0.53 cm and 1.35 +/- 0.34 cm and distances to the axillary and suprascapular nerves were 4.54 +/- 1.08 cm and 2.54 +/- 0.85 cm, respectively. Conclusion: The most important finding of this study was the superficial localization of the soft spot between the posterior and lateral parts of deltoid.