18 citations · 33 across the 7 of their papers we have counts for
7 papers
VEELA: A Clinically-Constrained Benchmark for Liver Vessel Segmentation in Computed Tomography Angiography
Ziya Ata Yazıcı, N. Sinem Gezer, İlkay Öksüz +19
Accurate segmentation of hepatic and portal vessels in contrast-enhanced computed tomography angiography (CTA) remains challenging due to complex vascular topology, peripheral visi…
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches
Luca Ciampi, Ali Azmoudeh, Elif Ecem Akbaba +5
Visual object counting has recently shifted towards class-agnostic counting (CAC), which addresses the challenge of counting objects across arbitrary categories, a crucial capabili…
50 questions on Active Assisted Living technologies. Global edition
Francisco Florez-Revuelta, Alin Ake-Kob, Pau Climent-Perez +23
This booklet on Active Assisted Living (AAL) technologies has been created as part of the GoodBrother COST Action, which has run from 2020 to 2024. COST Actions are European resear…
GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic Segmentation
Ziya Ata Yazıcı, İlkay Öksüz, Hazım Kemal Ekenel
Convolutional Neural Networks (CNNs) have become widely adopted for medical image segmentation tasks, demonstrating promising performance. However, the inherent inductive biases in…
Attention-Enhanced Hybrid Feature Aggregation Network for 3D Brain Tumor Segmentation
Ziya Ata Yazıcı, İlkay Öksüz, Hazım Kemal Ekenel
Glioblastoma is a highly aggressive and malignant brain tumor type that requires early diagnosis and prompt intervention. Due to its heterogeneity in appearance, developing automat…
In-Bed Pose Estimation: A Review
Ziya Ata Yazıcı, Sara Colantonio, Hazım 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…
VIDI: A Video Dataset of Incidents
Duygu Sesver, Alp Eren Gençoğlu, Çağrı Emre Yıldız +4
Automatic detection of natural disasters and incidents has become more important as a tool for fast response. There have been many studies to detect incidents using still images an…