1 code implementation • 12 Jan 2024 • Jingnan Jia, Marius Staring, Berend C. Stoel
In response to a concerning trend of selectively emphasizing metrics in medical image segmentation (MIS) studies, we introduce \texttt{seg-metrics}, an open-source Python package for standardized MIS model evaluation.
no code implementations • 15 Oct 2021 • Jingnan Jia, Marius Staring, Irene Hernández-Girón, Lucia J. M. Kroft, Anne A. Schouffoer, Berend C. Stoel
We used 227 3D CT scans to train and validate the first network, and the resulting 1135 axial slices were used in the second network.
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.
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.
Ranked #1 on Pulmonary Artery–Vein Classification on SunYs
3D Medical Imaging Segmentation Pulmonary Artery–Vein Classification
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.