1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Breast Ultrasound Tumor Generation via Mask Generator and Text-Guided Network:A Clinically Controllable Framework with Downstream Evaluation
Haoyu Pan, Hongxin Lin, Zetian Feng +6
The development of robust deep learning models for breast ultrasound (BUS) image analysis is significantly constrained by the scarcity of expert-annotated data. To address this lim…
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…