5 papers
Autonomous Skeletal Landmark Localization towards Agentic C-Arm Control
Jay Jung, Ahmad Arrabi, Jax Luo +2
Purpose: Automated C-arm positioning ensures timely treatment in patients requiring emergent interventions. When a conventional Deep Learning (DL) approach for C-arm control fails,…
Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization
Yuqi Chen, Xiaohan Zhang, Ahmad Arrabi +3
Natural-language Guided Cross-view Geo-localization (NGCG) aims to retrieve geo-tagged satellite imagery using textual descriptions of ground scenes. While recent NGCG methods comm…
GeoFlow: Real-Time Fine-Grained Cross-View Geolocalization via Iterative Flow Prediction
Ayesh Abu Lehyeh, Xiaohan Zhang, Ahmad Arrabi +3
Accurate and fast localization is vital for safe autonomous navigation in GPS-denied areas. Fine-Grained Cross-View Geolocalization (FG-CVG) aims to estimate the precise 2-Degree-o…
Automated C-Arm Positioning via Conformal Landmark Localization
Ahmad Arrabi, Jay Hwasung Jung, Jax Luo +3
Accurate and reliable C-arm positioning is essential for fluoroscopy-guided interventions. However, clinical workflows rely on manual alignment that increases radiation exposure an…
C-arm Guidance: A Self-supervised Approach To Automated Positioning During Stroke Thrombectomy
Ahmad Arrabi, Jay hwasung Jung, J Le +6
Thrombectomy is one of the most effective treatments for ischemic stroke, but it is resource and personnel-intensive. We propose employing deep learning to automate critical aspect…