6 papers
Scaling up fine-grained intracranial vessel annotations in computed tomography angiography
Chu-Hsuan Lin, Alberto Mario Ceballos-Arroyo, Jisoo Kim +4
In this work, we present SemanticVessel, a dataset for fine-grained brain vessel segmentation in computed tomography angiography scans. Based on the detailed contrast provided by d…
Robust automatic brain vessel segmentation in 3D CTA scans using dynamic 4D-CTA data
Alberto Mario Ceballos-Arroyo, Shrikanth M. Yadav, Chu-Hsuan Lin +4
In this study, we develop a novel methodology for annotating the brain vasculature using dynamic 4D-CTA head scans. By using multiple time points from dynamic CTA acquisitions, we…
Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs
Fangrui Zhu, Hanhui Wang, Yiming Xie +4
Unlocking spatial reasoning in Multimodal Large Language Models (MLLMs) is crucial for enabling intelligent interaction with 3D environments. While prior efforts often rely on expl…
Automated anatomy-based post-processing reduces false positives and improved interpretability of deep learning intracranial aneurysm detection
Jisoo Kim, Chu-Hsuan Lin, Alberto Ceballos-Arroyo +6
Introduction: Deep learning (DL) models can help detect intracranial aneurysms on CTA, but high false positive (FP) rates remain a barrier to clinical translation, despite improvem…
Anatomically-guided masked autoencoder pre-training for aneurysm detection
Alberto Mario Ceballos-Arroyo, Jisoo Kim, Chu-Hsuan Lin +3
Intracranial aneurysms are a major cause of morbidity and mortality worldwide, and detecting them manually is a complex, time-consuming task. Albeit automated solutions are desirab…
Towards Flexible Visual Relationship Segmentation
Fangrui Zhu, Jianwei Yang, Huaizu Jiang
Visual relationship understanding has been studied separately in human-object interaction(HOI) detection, scene graph generation(SGG), and referring relationships(RR) tasks. Given…