1 code implementation • 27 Apr 2024 • Ziya Ata Yazıcı, İlkay Öksüz, Hazim Kemal Ekenel
Notably, GLIMS achieved this high performance with a significantly reduced number of trainable parameters.
1 code implementation • 15 Mar 2024 • Ziya Ata Yazıcı, İlkay Öksüz, Hazim Kemal Ekenel
In our approach, we utilized a multi-scale, attention-guided and hybrid U-Net-shaped model -- GLIMS -- to perform 3D brain tumor segmentation in three regions: Enhancing Tumor (ET), Tumor Core (TC), and Whole Tumor (WT).
no code implementations • 1 Feb 2024 • Ziya Ata Yazıcı, Sara Colantonio, Hazim Kemal Ekenel
Human pose estimation, the process of identifying joint positions in a person's body from images or videos, represents a widely utilized technology across diverse fields, including healthcare.
1 code implementation • 26 May 2022 • Duygu Sesver, Alp Eren Gençoğlu, Çağrı Emre Yıldız, Zehra Günindi, Faeze Habibi, Ziya Ata Yazıcı, Hazim Kemal Ekenel
To assess the performance of the recent state-of-the-art approaches, Vision Transformer and TimeSformer, as well as to explore the contribution of video-based information for incident classification, we performed benchmark experiments on the VIDI and Incidents Dataset.