activity
20192026
most citedIntrA: 3D Intracranial Aneurysm Dataset for Deep Learning

7 citations · 11 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Query-Driven Multimodal Information Extraction from Long Documents

Yikai Gao, Ding Xia, Xi Yang

In domain-specific multimodal long documents, images and text jointly convey complex knowledge that cannot be fully captured by plain text alone. However, existing paradigms like D…

cs.HC2024

CanvasPic: An Interactive Tool for Freely Generating Facial Images Based on Spatial Layout

Jiafu Wei, Chia-Ming Chang, Xi Yang +1

In real-world usage, existing GAN image generation tools come up short due to their lack of intuitive interfaces and limited flexibility. To overcome these limitations, we develope…

cs.CV2022

Efficient Human-in-the-loop System for Guiding DNNs Attention

Yi He, Xi Yang, Chia-Ming Chang +2

Attention guidance is an approach to addressing dataset bias in deep learning, where the model relies on incorrect features to make decisions. Focusing on image classification task…

cs.CV2021★ 1 cited

Brain Surface Reconstruction from MRI Images Based on Segmentation Networks Applying Signed Distance Maps

Heng Fang, Xi Yang, Taichi Kin +1

Whole-brain surface extraction is an essential topic in medical imaging systems as it provides neurosurgeons with a broader view of surgical planning and abnormality detection. To…

eess.IV2020★ 2 cited

A Two-step Surface-based 3D Deep Learning Pipeline for Segmentation of Intracranial Aneurysms

Xi Yang, Ding Xia, Taichi Kin +1

The exact shape of intracranial aneurysms is critical in medical diagnosis and surgical planning. While voxel-based deep learning frameworks have been proposed for this segmentatio…

eess.IV2020★ 7 cited

IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning

Xi Yang, Ding Xia, Taichi Kin +1

Medicine is an important application area for deep learning models. Research in this field is a combination of medical expertise and data science knowledge. In this paper, instead…