Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network

no code implementations • 2 Dec 2022 • Qingze Fang, Zhiwei Zhai, Shuai Yu, Qiong Wu, Xiaowen Gong, Xu Chen

The space-air-ground integrated network (SAGIN), one of the key technologies for next-generation mobile communication systems, can facilitate data transmission for users all over the world, especially in some remote areas where vast amounts of informative data are collected by Internet of remote things (IoRT) devices to support various data-driven artificial intelligence (AI) services.

Federated Learning

Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation

no code implementations • 22 Apr 2021 • Jingnan Jia, Zhiwei Zhai, M. Els Bakker, I. Hernandez Giron, Marius Staring, Berend C. Stoel

Deep multi-task learning is expected to utilize labels of multiple different structures.

Multi-Task Learning

Linking convolutional neural networks with graph convolutional networks: application in pulmonary artery-vein separation

1 code implementation • Preprint 2019 • Zhiwei Zhai, Marius Staring, Xuhui Zhou, Qiuxia Xie, Xiaojuan Xiao, M. Els Bakker, Lucia J. Kroft, Boudewijn P. F. Lelieveldt, Gudula J.A.M. Boon, Frederikus A. Klok, Berend C. Stoel

In conclusion, the proposed CNN-GCN method combines local image information with graph connectivity information, improving pulmonary A/V separation over a baseline CNN method, approaching the performance of human observers.

3D Medical Imaging Segmentation Pulmonary Artery–Vein Classification

Pulmonary vessel tree matching for quantifying changes in vascular morphology

1 code implementation • MICCAI2018 2018 • Zhiwei Zhai, Marius Staring, Hideki Ota, Berend C. Stoel

Quantifying morphological changes may provide a non-invasive assessment of treatment effects in CTEPH patients, consistent with hemodynamic changes from invasive RHC.