3 citations · 4 across the 4 of their papers we have counts for
4 papers
Integrated feature analysis for deep learning interpretation and class activation maps
Yanli Li, Tahereh Hassanzadeh, Denis P. Shamonin +3
Understanding the decisions of deep learning (DL) models is essential for the acceptance of DL to risk-sensitive applications. Although methods, like class activation maps (CAMs),…
Seg-metrics: a Python package to compute segmentation metrics
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 f…
Prediction of Lung CT Scores of Systemic Sclerosis by Cascaded Regression Neural Networks
Jingnan Jia, Marius Staring, Irene Hernández-Girón +3
Visually scoring lung involvement in systemic sclerosis from CT scans plays an important role in monitoring progression, but its labor intensiveness hinders practical application.…
Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation
Jingnan Jia, Zhiwei Zhai, M. Els Bakker +3
Pulmonary lobe segmentation is an important preprocessing task for the analysis of lung diseases. Traditional methods relying on fissure detection or other anatomical features, suc…