35 citations · 72 across the 7 of their papers we have counts for
7 papers
Towards the Automatic Segmentation, Modeling and Meshing of the Aortic Vessel Tree from Multicenter Acquisitions: An Overview of the SEG.A. 2023 Segmentation of the Aorta Challenge
Yuan Jin, Antonio Pepe, Gian Marco Melito +36
The automated analysis of the aortic vessel tree (AVT) from computed tomography angiography (CTA) holds immense clinical potential, but its development has been impeded by a lack o…
Classification of lung cancer subtypes on CT images with synthetic pathological priors
Wentao Zhu, Yuan Jin, Gege Ma +4
The accurate diagnosis on pathological subtypes for lung cancer is of significant importance for the follow-up treatments and prognosis managements. In this paper, we propose self-…
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li, Zongwei Zhou, Jiancheng Yang +154
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…
The HoloLens in Medicine: A systematic Review and Taxonomy
Christina Gsaxner, Jianning Li, Antonio Pepe +4
The HoloLens (Microsoft Corp., Redmond, WA), a head-worn, optically see-through augmented reality display, is the main player in the recent boost in medical augmented reality resea…
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation
Jianning Li, Antonio Pepe, Christina Gsaxner +2
Medical images, especially volumetric images, are of high resolution and often exceed the capacity of standard desktop GPUs. As a result, most deep learning-based medical image ana…
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo
Yuan Jin, Antonio Pepe, Jianning Li +6
The aortic vessel tree is composed of the aorta and its branching arteries, and plays a key role in supplying the whole body with blood. Aortic diseases, like aneurysms or dissecti…
Deep Learning -- A first Meta-Survey of selected Reviews across Scientific Disciplines, their Commonalities, Challenges and Research Impact
Jan Egger, Antonio Pepe, Christina Gsaxner +3
Deep learning belongs to the field of artificial intelligence, where machines perform tasks that typically require some kind of human intelligence. Similar to the basic structure o…